Location: Canada
Workplace: remote
ABOUT YOU
We're looking for a Staff Engineer to join our Identity & Access Management (IAM) platform team. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how Xsolla builds secure, high-scale auth infrastructure — setting direction, making hard architectural calls, and raising the bar across the org.
You will own the strategy behind authentication, authorization, and session management at scale, and evolve our OAuth 2.0 / OIDC flows and token lifecycle to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering and security stakeholders, not just designing in isolation.
You are technically deep, calm under pressure, and comfortable being the escalation point when production IAM issues get hard. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Own IAM Architecture & Strategy
— Own the technical strategy and architecture of our IAM platform, covering authentication, authorization, and session management at scale.
Design Auth Protocols
— Design and evolve our OAuth 2.0 / OIDC flows, token lifecycle, and security primitives to meet both product and compliance requirements.
Drive Cross-Team Technical Decisions
— Drive decisions on protocol design, data modeling, and platform reliability, and build buy-in across engineering and security teams.
De-Risk Proactively
— Identify systemic risks and performance bottlenecks; lead initiatives to resolve them before they become incidents.
Set Engineering Standards
— Define engineering standards, review critical code and designs, and create leverage for the team through documentation, tooling, and mentorship.
Align with Stakeholders
— Collaborate with product, security, and infra teams to align on roadmap and translate business needs into well-scoped technical plans.
Own Production Escalations
— Serve as the go-to escalation point for complex production issues in the IAM domain.
Requirements
Identity & Security
OAuth 2.0 / OIDC Depth
— Deep understanding of OAuth 2.0, OIDC, and related auth flows: authorization code + PKCE, client credentials, device flow, token introspection, refresh strategies.
Web Security Fundamentals
— Solid grasp of cookie security, CSRF, XSS, token storage, TLS, and secure session management.
Production IAM Experience
— Experience designing or operating production-grade IAM or auth systems.
Domain Context
Gaming Industry Experience
— Experience working in the video game industry, building or operating platforms for game developers, publishers, or players.
Backend Engineering
Go Engineering
— Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling.
Distributed Systems
— Experience with distributed systems and their trade-offs (consistency, availability, failure modes).
Data & Infrastructure
PostgreSQL
— Schema design, query optimization, migrations at scale.
Kubernetes
— Deploying, operating, and debugging services in a k8s environment.
Message Streaming
— Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery.
Git & CI/CD
— Git and modern CI/CD practices.
Leadership
Cross-Team Initiative Leadership
— Proven ability to lead multi-quarter technical initiatives across teams.
Architectural Influence
— Track record of influencing architecture and standards beyond your immediate team.
Written & Verbal Communication
— You write RFCs and design docs that people actually read.
Nice to Have
Hands-on experience with the Ory ecosystem (Hydra, Kratos, Keto) — operating it in production or building on top of its APIs
Experience with CockroachDB or other distributed SQL databases (multi-region deployments, clock skew handling, survivability trade-offs)
Familiarity with compliance requirements relevant to IAM: SOC 2, ISO 27001, GDPR data minimization, audit logging
Contributions to open-source security or identity projects
Experience building or integrating with SCIM, SAML, or enterprise SSO (LDAP / Active Directory)
Background in platform or infrastructure engineering — building systems other engineers build on top of
Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Staff Engineer, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Working with vulnerable populations
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits:
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
Requirements:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
What you’ll do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
Nice to Have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Sliema, Malta
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
A unique and highly-impactful role at one of the fastest-growing global cryptocurrency exchanges. In this role, you will be working alongside the KYB team and you will be responsible for customer Know Your Business (KYB) cases that have been identified through our onboarding systems for potential money laundering, terrorist financing, Bank Secrecy Act violations and other AML or fraud related. This individual must have prior know-your-business and sanctions compliance experience.
What You’ll Be Doing
Complete comprehensive reviews of incoming customer onboarding cases and ensuring that the application of
KYB
principles are consistent with the Company’s KYB policy and
customer risk assessment
.
Reviewing KYB documents obtained from the customer, utilising our validation tools and reputable sources to verify the
AML
documentation.
Requesting appropriate
CDD
/
EDD
documentation from customers to ensure that the AML onboarding process is complete in line with our AML policies and procedures.
Follow up on pending CDD/EDD requests ensuring that communication is issued with the relevant SLA's.
Investigating possible matches generated by the scanning application that the Company uses to screen customers against
sanctions
,
PEP
's and
adverse media
news and ensuring the appropriate action is taken.
Provide information to management in respect of AML/CDD issues arising.
Maintain delivery of a high quality service level to customers and other departments ensuring all queries are dealt with in a professional manner and escalating where appropriate.
Support the enhancement of our CDD function and maintain procedures
Manage specific projects, which may arise from time to time.
What We Look For In You
Completion of tertiary higher education such as Higher Diploma, Degree and onwards.
You have two or more years’ experience in AML and CDD/EDD review or in a KYB work domain
You are a ‘team player’ who can work well within the function to deliver a quality service.
You have excellent communication and writing skills, and are attentive to details.
Willing to work on a shift schedule between Monday to Friday and some late finishes of up to 10:00 PM.
Excellent command of spoken and written English is required.
Perks &
Benefits
Competitive total compensation package
L&D programs for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-GB1
#LI-HYBRID
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The Trading Strategies Mobile Team owns OKX's Trading Bot and Copy Trading experiences across iOS and Android. On the Trading Bot side we build the full suite of strategy bots (Spot & Futures Grid, Spot & Futures DCA, Recurring Buy, Smart Portfolio, Smart Arbitrage, Signal Bot, DCD, and AI-powered bots) that let millions of users automate their trading across spot and derivatives. On the Copy Trading side we let users discover top traders and automatically mirror their positions. It's a large, high-complexity mobile surface built on a shared Rust/UniFFI core, and we're actively moving performance-critical paths to Rust so the logic is shared across platforms. We care deeply about engineering quality. A big, fast-moving codebase demands high standards for architecture, stability, and performance, so we invest consistently in review rigor, knowledge-sharing, and technical training to keep raising the bar. We're also a growth team, working closely with Product and Design to ship new strategies, improve the automated trading experience, and most recently build AI-driven bot experiences. We're at an exciting inflection point, bringing AI into both our product and our engineering workflows. If you're energized by taming complexity at scale, driving technical excellence and business impact in equal measure, and shaping how automated crypto trading works for millions, this is the team to be on.
What You'll Be Doing
Own the technical architecture and delivery of the Android/iOS Trading Bot codebase as your primary focus, while also contributing to Copy Trading as our second core surface, raising code quality, stability, and performance across both and across the flows that create, manage, copy, and follow strategies.
Lead large-scale technical initiatives end to end, from the Kotlin/Swift-to-Rust/UniFFI migration to modularization and binary-compatibility discipline across the Trading Bot and shared-core repositories, and the work to cut crash, ANR, and startup hotspots.
Join product requirement discussions, shape well-reasoned technical solutions, and protect product performance, stability, and user experience.
Partner with product and business to drive the Trading Bot roadmap, from new strategy types to sharing, attribution, and growth features, to AI-powered bot experiences, turning technical leverage into business impact.
Stay close to industry trends, keep refining the technical architecture, and grow the team's engineering capabilities through training and knowledge-sharing.
Mentor engineers and lead by influence, lifting the whole team's technical proficiency.
Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation.
What We Look For In You
Staff/Principal level Android/iOS expertise.
8+ years building and shipping production Android/iOS apps, with deep Kotlin and a strong command of multi-module architecture, dependency and binary-compatibility constraints, and platform performance (ANR, crash, startup, memory).
A track record of leading mid to large projects end to end.
You hold a high bar for architecture and engineering quality, and you've raised that bar on a large, legacy-heavy codebase with results to show for it.
Technical strategy paired with business sense.
You can set technical direction and work with product to turn it into roadmap and revenue. You own outcomes, not just code.
A trading or fintech background.
Client-side experience at a crypto exchange, brokerage, or fintech app, with familiarity in core domains like order placement, market data, and asset management. Automated or algorithmic trading is a strong plus.
Influence and mentorship.
You make the engineers around you better through review, design guidance, and knowledge-sharing, and you build alignment across teams without leaning on authority.
Nice-To-Haves
Cross-language or Rust experience.
Rust, UniFFI/FFI, or iOS Swift/Obj-C, and comfort owning a shared cross-platform core.
Automated-trading domain depth.
Hands-on with trading bots, grid or DCA strategies, perpetuals and derivatives, copy or social trading, or market-making and arbitrage, or trading in general.
AI engineering experience.
LLM fundamentals, prompt engineering, RAG, or agent workflows, and an eye for bringing AI into both the product and the engineering workflow.
Performance and reliability tooling.
APM, tracing, and crash or ANR triage at scale.
Scaled
CI/CD
.
Experience with large monorepo or multi-module release systems, such as MMR-style merge pipelines.
Client-side team leadership.
You've mentored or led a client-side team and can drive cross-team collaboration and technical review.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Barcelona, Spain
Workplace: hybrid
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
We are looking for a
Senior Analytics Engineer
to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models.
This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team.
What challenges you'll be solving 🚀
Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing.
Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably.
Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL.
Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy.
Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases.
Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team.
Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models.
Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together.
About the Data team
🧩
Team mission
To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company.
The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions.
What we own
The dbt transformation layer across business domains
The Single Source of Truth (SSOT) for key business metrics
Semantic models that enable consistent reporting and analytics
Data contracts and governance standards across domains
Data lineage, documentation, and discoverability
Data quality, testing, and monitoring to ensure trusted data products
Team Structure
The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data.
The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume.
How we work
Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers.
Strong focus on data governance, documentation, and discoverability.
Collaboration with business stakeholders to translate operational concepts into trusted data models.
Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture.
Continuous improvement through testing, observability, and reusable modeling patterns.
What to expect in the next 90 days
🏁
Month 1:
You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality.
Month 2:
You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency.
Month 3:
You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization.
Tech stack & environment
🛠️
Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse.
Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products.
The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura.
What you’ll need 🤝
5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory).
Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks
Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory).
Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar).
Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together.
Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents.
Experience with Python for data tasks is a plus.
Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus.
Fintech or financial services domain knowledge is a plus.
English proficiency required. Spanish is a plus.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and DKV.
Flexible working hours.
A personal budget for professional development.
Office workshops and meet-ups to encourage community participation and career growth.
Hybrid or remote work (up to 2 hours difference from GMT+2).
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
Which are the next steps?
🙌
Interview with People Team
Hiring Manager interview
Technical take-home assessment
(async)
Live Peer review of the assessment
Meet the team
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: New York, USA
DataArt’s AI Lab helps organizations turn AI from experimentation into transformation — with practical, scalable solutions that drive real business outcomes. We combine strategic advisory, deep engineering, and reusable delivery accelerators through our Connect AI framework to enable smarter operations, faster decision-making, and sustainable growth.
As part of our AI & ML team, you’ll lead and contribute to AI strategy and implementation initiatives — from roadmap design and maturity assessments to co-building pilots and reusable solution patterns. You’ll work across industries and functions, applying GenAI, data science, and modern cloud-native architectures to solve complex, high-impact challenges. This role blends strategic thinking with hands-on execution, and offers the opportunity to shape how AI is delivered at scale.
The estimated salary range for this position is USD 200,000–240,000 per year.
DataArt AI Lab is looking for a Senior AI Consultant to join its core team and support a range of initiatives focused on AI-driven transformation. The role involves close collaboration with AI Lab leadership and cross-functional teams to design and implement AI solutions that enhance productivity, enable smarter workflows, and drive innovation across different domains and industries.
Lead AI strategy engagements from opportunity discovery through roadmap development, aligning AI adoption with client business goals, tech stack, and operating model
Shape reusable solution architectures using modular components, copilots, and delivery accelerators from the Connect AI framework to ensure scalable, cross-client value
Translate complex AI capabilities into business impact, working closely with CxO-level stakeholders to prioritize initiatives and quantify ROI
Design and facilitate client workshops to align on goals, surface high-impact use cases, and assess AI maturity across technical, organizational, and data dimensions
Contribute to DataArt’s evolving AI offerings, including vertical accelerators, governance models, and productized services with pricing and go-to-market relevance
3–5+ years in AI, digital transformation, or strategy consulting, ideally in client-facing roles within tech-driven or innovation-led engagements
Proven ability to define enterprise AI strategies and roadmaps, including maturity assessments, capability planning, and use case prioritization
Strong business and technical fluency, with the ability to bridge AI/ML concepts and modern architectures with measurable executive-level business value
Experience designing reusable toolkits, delivery frameworks, or productized services — ideally contributing to IP-backed consulting models
Familiarity with GenAI ecosystems (e.g., LLMs, RAG, prompt engineering, agents) and their application across industry verticals and business functions
Solid understanding of technical principles and architecture of ML/LLM applications and AI agents
Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML service offerings
Strong communication skills and effective stakeholder management
Master’s degree in Computer Science, AI, Machine Learning, or a related field
Exposure to AI monetization models, including usage-based pricing, enablement fees, or outcome-driven commercial constructs
Location: Remote - US
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a highly analytical,
systems-oriented
Sr. Cluster & Systems Capacity Engineer
to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform.
About the Role:
This role ensures that Backblaze’s storage clusters, compute systems, and network infrastructure scale reliably, cost-efficiently, and ahead of demand. You will build and maintain predictive models, ensure consistent supply and demand alignment, and partner cross-functionally to inform strategic investment and deployment decisions. .
This is a high-impact role within Cloud Operations, directly contributing to service availability, durability, performance, margin optimization, and long-term platform scalability.
Key Responsibilities:
Capacity Planning & Forecasting
Develop and maintain short, medium, and long-term capacity demand and hardware deployment forecasts across storage, compute, and network domains within the platform
Build predictive models that translate business demand signals into infrastructure requirements using historical utilization, growth trends, product sales plans, hardware lifecycle roadmaps, and other key business inputs
Partner with Infrastructure, Production, and Network Engineering teams to align capacity plans with system design and scaling initiatives
Develop and automate forecasting pipelines, simulation calculators and tools, and capacity dashboards to improve data quality, reduce manual analysis, and provide stakeholders clear visibility into platform usage and cluster health metrics
Cluster Performance & Resource Optimization
Monitor and analyze cluster and system-level utilization and performance across CPU, memory, IOPS, and network resources
Adjust deployment plans and recommended configurations in real-time to maintain adequate headroom and system stability in support of delivering a world-class customer experience
Partner with service and platform owners to develop headroom and live buffer policies, optimize hardware BoMs, leverage virtualized orchestration, and reduce product cost
Cross-functional Organizational Alignment
Work in lockstep with Operations and Finance peers to align capacity plans and hardware requirements with capital budgets, cost targets, and financial outcomes
Support strategic optimization initiatives across infrastructure investments, engineering development, and operations processes, contributing to long-term infrastructure strategy and capital planning
Lead efforts to evaluate, procure, and provision requests for new or additional hardware, working with Systems and Network Engineering, SRE, NOC, and Data Center Operations teams to identify and deliver optimal solutions
Maintain alignment with Product and Sales to support customer onboarding, growth, and demand variability
Communicate complex capacity and infrastructure insights clearly to technical and non-technical stakeholders
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, Statistics or a related, technical field (or equivalent experience).
8-10+ years of experience in Site Reliability Engineering, Infrastructure Capacity Planning, Systems/Infrastructure Engineering, Production Engineering, Data Center Operations or similar Cloud Operations role
Familiarity and experience working with Cloud Storage infrastructure, particularly highly-available, large-scale distributed systems supporting large amounts of data with high throughput and complex performance requirements
Background in capacity modeling, performance analysis, scenario modeling, and/or infrastructure cost optimization, with an ability to quantify ideas within financial frameworks and forecasts.
Proficiency in database and data analysis tools (preferably Snowflake, Metabase, Grafana, Python, SQL, Prometheus, Victoria Metrics, and Excel/Google Sheets)
Demonstrated deep, creative, and logical thinking complimented by a strong data analysis skillset
Excellent communication and documentation skills, with the ability to share knowledge and explain concepts accurately and concisely
Desire to work on a highly-autonomous team that cares deeply about quality, cost, and the customer experience
Backblaze Perks:
Healthcare for family, including dental and vision
Competitive compensation and 401K
RSU grants for full-time employees
ESPP program
Flexible vacation policy
Maternity & paternity leave
MacBook Pro to use for work, plus a generous stipend to personalize your workstation
Childcare bonus (human children only)
Fertility treatment and support
Learning & development program
Commuter benefits
Culture that supports a healthy work-life balance
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.
The expected salary range for this role is $123,000 - $175,000.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We are hiring a Principal Engineer to help define the technical direction for core product experiences at 1Password.
This is a senior individual contributor role for an engineer who can translate ambitious product strategy into systems that scale technically and operationally. You will drive architecture, engineering standards, and technical direction across the product ecosystem, working across client applications, distributed services, data platforms, and shared infrastructure to build experiences that are secure, reliable, performant, and maintainable.This is not a role scoped to a single team or subsystem. The expectation is organization-level technical leadership: shaping how Product Engineering approaches complex cross-cutting problems, guiding long-term architectural investments, and establishing the technical patterns and operational standards other teams build against.
You will operate across the full lifecycle of product engineering work, from architecture and system design through production operations and long-term evolution. Success in this role requires balancing product velocity with engineering durability, making pragmatic technical tradeoffs, and driving alignment across teams with different priorities and constraints.
You will help evolve the next generation of 1Password’s product architecture, including the responsible integration of AI capabilities into core product experiences. Security and privacy by default, cross-platform consistency, operational resilience, and enterprise-scale reliability are foundational requirements that must be reflected in every architectural decision.
If you want to build systems used daily by millions of individuals and hundreds of thousands of businesses, and solve engineering problems where distributed systems, reliability, usability, security, and intelligent automation all matter simultaneously, this is that role.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- You have designed and operated large-scale distributed systems where reliability, scalability, maintainability, and operational excellence matter.
- You have deep experience driving architecture and technical direction across multiple teams, organizations, or product domains.
- You have strong systems-thinking instincts and can reason effectively about platform boundaries, distributed systems constraints, developer ergonomics, and long-term technical sustainability.
- You have experience building customer-facing product systems across clients, APIs, distributed services, cloud infrastructure, and data platforms.
- You have experience building or scaling event-driven systems, microservices architectures, or shared platform infrastructure in production environments.
- You have practical experience integrating AI or ML capabilities into production applications and understand the engineering tradeoffs involved in introducing AI into trust-sensitive product experiences.
- You have strong instincts for privacy-preserving and security-conscious system design, including thoughtful handling of telemetry, user data, permissions, and auditability.
- You are effective at driving alignment across teams with different incentives, priorities, and technical perspectives.
- You communicate clearly with engineers, executives, and cross-functional partners, and can explain complex technical tradeoffs in practical terms.
- You are comfortable operating in ambiguity and helping organizations make durable technical decisions before every variable is known.
Bonus points for:
- Experience in identity, authentication, authorization, secrets management, enterprise security, or trust-oriented product domains.
- Experience building large-scale event-driven or multi-region distributed systems in cloud environments.
- Experience building cross-platform applications or shared platform architectures at scale.
- Experience with developer platforms, internal engineering frameworks, CI/CD systems, or large-scale infrastructure modernization initiatives.
- Experience integrating LLMs or AI-assisted workflows into customer-facing SaaS applications.
- Experience with endpoint trust, browser or extension security, enterprise administration workflows, or device posture systems.
- Experience mentoring engineers and raising the engineering bar across organizations through technical leadership and operational excellence.
What you can expect:
- Define architecture and technical direction for core product capabilities spanning clients, distributed services, data platforms, and shared infrastructure.
- Establish engineering standards and reusable architectural patterns for scalable, maintainable, and resilient product systems across Product Engineering.
- Drive long-term technical strategy across critical product areas, balancing immediate delivery needs with scalability, operational excellence, and platform sustainability.
- Partner closely with Product, Design, Security, Privacy, Infrastructure, and Data teams to ensure technical decisions support both customer outcomes and long-term operational durability.
- Guide how AI-powered capabilities are integrated into customer-facing product experiences, ensuring systems are reliable, observable, operationally safe, and aligned with customer trust expectations.
- Define engineering expectations for AI-enabled product systems, including evaluation frameworks, rollout safety, telemetry, fallback behavior, auditability, and operational controls.
- Establish shared platform capabilities and infrastructure patterns that allow teams to build product features consistently across clients, services, APIs, and AI-assisted workflows.
- Influence and drive key architectural decisions around distributed systems design, event-driven architectures, synchronization models, scalability, performance, reliability, extensibility, and platform interoperability.
- Help teams navigate difficult technical tradeoffs, unblock large cross-functional initiatives, and reduce systemic engineering complexity across the organization.
- Raise the operational bar for production systems through stronger reliability practices, observability standards, incident readiness, performance analysis, and engineering discipline.
- Mentor and influence engineers across the organization through technical leadership, architecture reviews, design guidance, and hands-on problem solving.
What success looks like:
Success in this role means Product Engineering can scale product development without sacrificing reliability, maintainability, security, or customer trust. That includes:
- Durable architectural patterns that enable teams to move faster with less duplication and lower operational overhead.
- Product systems that scale reliably across platforms, enterprise environments, and growing customer complexity.
- Engineering teams making more consistent technical decisions with clearer standards and stronger shared foundations.
- AI-powered product experiences that are useful, measurable, trustworthy, and operationally safe.
- Reduced systemic friction across development, delivery, observability, and cross-team coordination.
- Stronger operational resilience, including improved reliability, debuggability, rollout safety, and incident response readiness.
- Technical investments that improve long-term engineering velocity instead of creating organizational drag or platform fragmentation.
USA-based roles only: The annual base salary for this role is between $246,000 USD and $369,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $228,000 CAD and $342,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Our engineering team is comprised of creative problem solvers and strategic software engineers who collaborate closely with product, design, and business teams. We sit at the intersection of finance and technology, building mobile experiences that help millions of users worldwide trade, invest, and explore Web3.
As a Mobile Engineer on our Trading team, you will help grow the crypto ecosystem by identifying new features, product opportunities, and scalable solutions — enabling users and partner businesses to unlock the full potential of OKX's platform.
What You’ll Be Doing
Design and build end-to-end mobile systems across iOS and Android, from architecture to launch strategy.
Understand and apply knowledge of crypto products, blockchain technologies, and market dynamics to deliver solutions at scale.
Ship production-quality code with an emphasis on long-term maintainability, with relevant documentation and test coverage.
Break down complex engineering projects into executable tasks and partner with applicable cross-functional teams.
Independently identify stakeholders and align cross-functional partners toward project completion.
Conduct code reviews and provide constructive feedback; action feedback from reviews of your own code promptly.
Apply AI coding tools to accelerate development, improve code quality, and optimise engineering workflows.
Serve as a subject matter expert within the mobile engineering team and provide consultation on domain-level projects.
Build relationships with internal stakeholders; share project updates and influence decision-making through data-driven insights.
Participate in interviewing and onboarding of new team members.
What We Look For In You
B.S. or M.S. in Computer Science or equivalent degree/experience.
Proven experience shipping production-quality mobile code on iOS and/or Android.
Strong proficiency in Swift, Kotlin, or React Native.
Experience working in fintech, crypto, or Web3 environments.
Demonstrated ability to integrate AI tools to optimise workflows and drive measurable impact — e.g. efficiency gains, quality improvements.
Ongoing AI skill development — prompt engineering, agent orchestration, staying current with emerging AI technologies.
Experience communicating technical concepts to non-technical audiences.
Nice to Haves
Familiarity with DeFi protocols, wallet integrations, or on-chain data.
Experience contributing to open source projects or shared code repositories.
Active participation in the developer community (blogs, GitHub, Stack Overflow, etc.).
Experience in highly collaborative, fast-paced environments.
Experience adhering to responsible, ethical AI practices (e.g. risk assessment, bias mitigation).
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is
$223,611.00 to $321,999.0
0.
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
#LI-HYBRID#LI-HYBRID
#LI-
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We’re looking for a Network Site Reliability Engineer (NetSRE) to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly.
Your responsibilities will include:
Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense)
Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards
Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting)
Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents
Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes
Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast
We expect you to have:
Strong production Linux fundamentals and a structured approach to debugging complex systems
Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.)
Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”)
Ability to write and maintain software/automation (Go is common for us; Python is also welcome)
Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows
It will be an added bonus if you have:
Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems
Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals)
Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection)
Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: United States
What The Role Is
As a
Staff Engineer
at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families.
You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next.
What You'll Own
A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build.
In practice, you:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Make the architecture calls that span teams and the ones that are expensive to reverse.
Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones.
A few problems people at this level are working on right now:
Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it.
Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt.
Building Early Investor, our new family finance product, from scratch, on a deadline that can't move.
Who You Are
You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other.
A few things that tend to be true of people who thrive here:
You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on.
You're curious: you spot problems before they're filed and push your own ideas until they ship.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
As a Senior ML Engineer focused on Search Optimization, you will work on improving the quality of our search product across the all parts of the search stack.
You will work on problems such as query understanding, query reformulation and expansion, retrieval, ranking, reranking, and result selection. Your goal will be to identify where search quality is lost, develop better approaches, and turn them into measurable improvements in production.
This is an applied ML and information-retrieval role combining experimentation with production impact. You will work with real-world queries, large-scale search systems, and evaluation signals to improve relevance, recall, freshness, and overall result quality.
In this position, your responsibility will be to
Design, implement, and operate the retrieval system for a search vertical
Connect and tune the data pipeline, from ingestion to relevance tuning
Build knowledge-graph and entity-resolution layers: entity linking /
NER
, ontologies, and graph databases (Neo4j or similar)
Develop structured-extraction pipelines over messy, unstructured domain data
Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it
Define evaluation and quality metrics for relevance and drive measurable improvements
Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met
Enable safe experimentation with retrieval, ranking, and extraction strategies
You may be a good fit if you have:
6+ years of software engineering experience, some of it in search / information retrieval
Strong
IR
fundamentals: inverted indexes,
BM25
/
TF-IDF
, query understanding, ranking, and evaluation (nDCG/
MRR
/recall@k)
Experience with vector & hybrid retrieval: ANN, dense+sparse fusion, embeddings models
Experience building structured extraction over messy/unstructured domain data
Fluent in Python and comfortable with systems-level performance work
Strong candidates may also have experience with:
Knowledge graphs: entity resolution, entity linking /
NER
, graph DBs (Neo4j), ontologies / schema design
Owning relevance / ranking for a real product and improving it against
IR
metrics
Data quality, truth discovery, or systems that decide how much to trust a piece of information
Published work on
IR
, ranking, or knowledge graphs
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a Senior Staff Mobile Engineer to join our Mobile Infrastructure team, the foundational engineering group that powers the OKX app for millions of daily active users. This is not a feature delivery role. You will work at the platform layer, building the tools, frameworks, and systems that enable product engineering teams to move faster, ship higher quality code, and scale reliably.
You are deeply native in either iOS or Android, and confident contributing across both platforms leveraging AI coding tools to move fluidly between stacks. You care about engineering quality at the foundation level: architecture, performance, toolchain, and developer experience.
What You'll Be Doing
Build and maintain mobile infrastructure, tooling, and shared frameworks that improve engineering efficiency and developer experience across the organisation.
Analyse and optimise application code at the UI and infrastructure layer, including memory footprint, package size, startup time, and rendering performance.
Design and develop reusable, scalable mobile components for use across iOS and Android platforms.
Partner with product engineering teams to deliver infrastructure solutions, establish best practices, and drive technical standards.
Drive architecture innovations that support world-class mobile app development at scale.
Optimise project structure and engineering workflows to improve productivity, quality, and release velocity.
Apply AI coding tools to accelerate infrastructure development, improve code quality, and cross-translate solutions across iOS and Android platforms.
Stay current with mobile platform developments and emerging toolchain innovations, evaluating and adopting what moves the needle.
What We Look For In You
6+ years of native iOS or Android development experience, with a strong track record in infrastructure, platform, or architecture work.
Deep expertise in either iOS (Swift/Objective-C/C++) or Android (Kotlin/Java, Jetpack), with confidence contributing across both platforms.
Actively uses AI tools in your engineering workflow — including building AI-leveraged workflows, curating domain knowledge bases, and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work.
Proven experience optimising app performance — memory, package size, startup time, and UI rendering — in production environments at scale.
Deep understanding of design patterns, architectural principles, and the mobile SDK layer for building scalable, high-performance components.
Working knowledge of remote APIs, concurrency, layouts, transitions, animations, client-side persistence, and mobile architectural patterns.
Strong communication skills — comfortable collaborating across global teams and delivering large-scale engineering outcomes independently.
Nice-To-Haves
Experience working in a dedicated mobile architecture or infrastructure team with deep platform specialisation.
Hands-on experience across performance optimisation, toolchain engineering, automated testing frameworks, or design pattern standardisation.
Experience working across both iOS and Android in a production infrastructure context.
Familiarity with cross-platform frameworks such as React Native or Flutter.
Experience in fintech, crypto, or other high-scale consumer app environments.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
#LI-ML1 #LI-ONS
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a Senior Staff Mobile Engineer to join our Mobile Infrastructure team, the foundational engineering group that powers the OKX app for millions of daily active users. This is not a feature delivery role. You will work at the platform layer, building the tools, frameworks, and systems that enable product engineering teams to move faster, ship higher quality code, and scale reliably.
You are deeply native in either iOS or Android, and confident contributing across both platforms leveraging AI coding tools to move fluidly between stacks. You care about engineering quality at the foundation level: architecture, performance, toolchain, and developer experience.
What You'll Be Doing
Build and maintain mobile infrastructure, tooling, and shared frameworks that improve engineering efficiency and developer experience across the organisation.
Analyse and optimise application code at the UI and infrastructure layer, including memory footprint, package size, startup time, and rendering performance.
Design and develop reusable, scalable mobile components for use across iOS and Android platforms.
Partner with product engineering teams to deliver infrastructure solutions, establish best practices, and drive technical standards.
Drive architecture innovations that support world-class mobile app development at scale.
Optimise project structure and engineering workflows to improve productivity, quality, and release velocity.
Apply AI coding tools to accelerate infrastructure development, improve code quality, and cross-translate solutions across iOS and Android platforms.
Stay current with mobile platform developments and emerging toolchain innovations, evaluating and adopting what moves the needle.
What We Look For In You
6+ years of native iOS or Android development experience, with a strong track record in infrastructure, platform, or architecture work.
Deep expertise in either iOS (Swift/Objective-C/C++) or Android (Kotlin/Java, Jetpack), with confidence contributing across both platforms.
Actively uses AI tools in your engineering workflow — including building AI-leveraged workflows, curating domain knowledge bases, and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work.
Proven experience optimising app performance — memory, package size, startup time, and UI rendering — in production environments at scale.
Deep understanding of design patterns, architectural principles, and the mobile SDK layer for building scalable, high-performance components.
Working knowledge of remote APIs, concurrency, layouts, transitions, animations, client-side persistence, and mobile architectural patterns.
Strong communication skills — comfortable collaborating across global teams and delivering large-scale engineering outcomes independently.
Nice-To-Haves
Experience working in a dedicated mobile architecture or infrastructure team with deep platform specialisation.
Hands-on experience across performance optimisation, toolchain engineering, automated testing frameworks, or design pattern standardisation.
Experience working across both iOS and Android in a production infrastructure context.
Familiarity with cross-platform frameworks such as React Native or Flutter.
Experience in fintech, crypto, or other high-scale consumer app environments.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
More that we love to tell you along the process!
#LI-ML1 #LI-ONS
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
What this job can offer you
This is an exciting time to join Remote and make an impact in the global employment space as a Senior Product Designer joining our Product Design team. Design at Remote is a 40+ multi-disciplinary team of designers and creatives passionate about crafting the experiences that help Remote scale successfully and help customers find, hire, manage and pay anyone, anywhere.
At Remote, we look for Senior Product Designers who are well-experienced, have high-level of maturity across the end-to-end design process, can autonomously lead design within a product team and are comfortable navigating ambiguity. You will be part of a thriving cross-functional organisation, where you will collaborate with Designers, Engineers and Product Managers worldwide to deliver remarkable user experiences to customers.
What you bring
An individual contributor with an impressive portfolio of product design work demonstrating your maturity across the end-to-end design process, not only showcasing your ability to identify and understand problems to solve, but deliver delightful, well-crafted user interfaces that have tangible impact on users.
Persuasive communication skills that help you build strong narratives around your design work, provide direction and guidance to others, as well as collaborate effectively with peers and stakeholders - with fluent written and spoken English.
A systems thinker who champions the importance of holistic thinking, is comfortable in a high-growth, fast-paced environment and has a work history that demonstrates an ability to autonomously take ownership of design for complex domains and/or multiple projects.
Strong evidence that you are an effective cross-functional collaborator with your product and engineering counterparts and are able to work effectively to build consensus and resolve debates and drive the business towards impactful outcomes.
You are an engaged member of your design organization whose focus is not only delivering quality user experiences, but help shape our design culture and ways of working.
Preference will be given to candidates who have experience designing complex B2B SaaS solutions for industries like HRTech, FinTech etc.
Candidates that embody and demonstrate our core values at Remote.
While it is not required to have experience working remotely, it is considered a plus.
Key Responsibilities
Influencing strategy for your product team, identifying opportunities for impact in collaboration with your stakeholders and cross-functional peers.
Applying the right research methodology at the right time, helping you and your team empathise with customer challenges and developing an intimate knowledge of the problem being solved.
Leveraging AI prototyping as a tool for exploring conceptual ideas, iterating with your cross-functional peers and these bringing ideas to life with functional flows.
Crafting high-fidelity user interfaces with flair at velocity, expressing your maturity in interaction design and maintaining our exceptional bar for quality, while delivering at speed.
Leading compelling vision initiatives for your team and domain, influencing and visualising the direction-of-travel and opportunities for innovation.
Solving problems holistically with systems-thinking, understanding the ripple effect of your design decisions and ensuring scalability, while avoiding introducing unnecessary variation to our information architecture and experiences.
Communicating persuasively, weaving storytelling narratives around your work to bring peers on the journey with you, while triaging their critique and feedback efficiently and effectively.
Collaborating transparently in the open, proactively sharing your work with the wider organisation to solicit frequent feedback and identifying opportunities for cross-domain collaboration.
Advocating usage of our design system Norma to its best advantage, understanding when to follow it strictly or deviate, improve and contribute.
Championing our experience principles by ensuring simplicity, usability, scalability and accessibility in all user experiences we deliver.
Being an active member of our cross-functional culture by advocating quality, shaping our ways of working and providing peer support, critique and feedback to others.
Practicals
You'll report to: Design Manager or Senior Design Manager
Team: Product Design
Location : Anywhere in the world
Start date : As soon as possible
Benefits
work from anywhere
flexible paid time off
flexible working hours (we are async)
16 weeks paid parental leave
mental health support services
stock options
learning budget
home office budget & IT equipment
budget for local in-person social events or co-working spaces
How you’ll plan your day (and life)
We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.
You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting.
Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.
How to apply
1. Please fill out the form below and upload your CV with a PDF format.
2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.
Location: Al Khobar, Saudi Arabia
Eram Talent
is seeking an experienced
Enterprise Architect
to lead the design and evolution of enterprise-wide technology architecture that aligns with business objectives and drives digital transformation. The Enterprise Architect will be responsible for defining architectural standards, governance frameworks, and technology roadmaps while ensuring scalable, secure, and efficient IT solutions across the organization. Reporting to the Enterprise Architecture Manager, the role will collaborate with business and IT stakeholders to evaluate technology solutions, guide project teams, and maintain architecture documentation across business, application, data, and technology domains. The ideal candidate has
7+ years of experience
in Enterprise Architecture or a related IT architecture role.
Key Responsibilities
Develop and maintain the Enterprise Architecture strategy aligned with business objectives.
Document current-state and target-state enterprise architecture across Business, Application, Data, and Technology domains.
Develop and maintain enterprise architecture principles, standards, governance frameworks, and best practices.
Create and maintain architecture artifacts, including architecture diagrams, models, blueprints, and technical documentation.
Develop and manage enterprise technology roadmaps supporting business growth and digital transformation.
Provide architectural guidance and technical leadership throughout solution design and project implementation.
Review and evaluate proposed technologies and solutions to ensure alignment with enterprise architecture standards and strategic objectives.
Conduct architecture reviews, impact assessments, and gap analyses for new initiatives and system enhancements.
Collaborate with business stakeholders, project teams, and IT leadership to ensure technology solutions meet business requirements.
Identify opportunities to optimize, modernize, and standardize enterprise systems and infrastructure.
Ensure compliance with enterprise architecture governance, security standards, and organizational policies.
Research emerging technologies and recommend innovative solutions to support long-term business strategy.
Requirements
Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field from a recognized and accredited university.
Master's degree in Computer Science, Information Technology, Business Administration, or a related discipline is preferred.
Minimum
7 years
of experience in Enterprise Architecture, Solution Architecture, or a related IT architecture role.
Professional certifications such as
TOGAF, Zachman Certified Enterprise Architect (ZCEA), Certified IT Architect (CITA)
, or equivalent are preferred.
Strong understanding of Enterprise Architecture frameworks, governance models, and technology roadmaps.
Experience with business, application, data, and technology architecture.
Familiarity with cloud platforms, enterprise applications, infrastructure, integration technologies, and information security principles.
Excellent analytical, problem-solving, and stakeholder management skills.
Strong documentation, presentation, and communication skills.
Proficiency in spoken and written English.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit
redditinc.com
.
As a
Staff Software Engineer
within our
SPACE
org (Security, Privacy, Assurance, and Corporate Engineering), you will play a critical role on the Identity & Access Management (IAM) team.
In this role, you will design, deliver, and support the lifecycle of digital identities, authentication, and access across Reddit. You will partner closely with cross-functional teams to build creative, scalable solutions that align with business priorities and strict regulatory standards. We operate in a dynamic, ambiguous problem space—meaning you’ll work across multiple domains and technology stacks to keep Reddit secure.
Some of our present and future challenges include:
Modernizing our identity infrastructure by replacing legacy systems with a tailored governance platform.
Provide self-service identity management lifecycle and natural language explanation of existing systems in order to improve employee experience with security systems.
Integrate Reddit’s corporate identity stack across a variety of protocols like SCIM and SAML, and across a variety of use cases (MCP and Agentic, resource automation that includes identity requirements) and increase Reddit’s maturity with “just-in-time” access and advanced identity constructs.
What You'll Do:
Engineering & Integration:
Develop, scale and maintain Reddit’s core IAM internal identity capabilities, platforms and infrastructure. Design and deploy high-quality API integrations and custom enterprise IGA connectivity solutions.
Observability & Data Analytics:
Build proactive monitoring frameworks, executive-friendly dashboards, and advanced alerting. Use synthetic transactions and anomaly detection to measure system availability (aiming for multiple 9s). Utilize identity data to track license utilization, aid in fiscal planning, and drive platform adoption.
Process & Compliance:
Create and maintain documentation, audit logs, and reports to continuously improve business processes and ensure seamless compliance execution.
Operations & Support:
Troubleshoot complex production incidents, analyze failure conditions, and perform root-cause analysis to support a 24x7 operation.
Collaboration & Mentorship:
Guide global, cross-functional partners on IAM best practices while raising the engineering bar through code reviews, technical standards, and optimized workflows.
Technologies we use
Our teams leverage a diverse and modern technology stack. While specific technologies may vary by team, we generally work with:
Languages:
Go, Python, Java, TypeScript, SQL
Datastores:
Postgres, Directory architectures (e.g., LDAP)
Tools:
Docker, Kubernetes, AWS, SailPoint, Okta
What We are Looking For:
Experience and Core Capabilities:
10+ years of backend development experience across multiple layers of the stack—from databases and networking to efficient computing.
In-depth knowledge of corporate IAM experience covering the full workforce identity lifecycle (Joiner, Mover, Leaver, Access Requests, and Certifications).
Ability to design and implement complex distributed systems operating under high load.
Proficiency in our core stack: Go, Python, Java, or TypeScript, with a strong DevOps mindset and end-to-end code ownership (testing, monitoring, deploying, and maintaining).
Deep understanding of modern authentication protocols (OAuth, OIDC, SAML) and secure-by-design principles.
Hands-on familiarity with enterprise identity solutions including IGA, MFA, PAM / PIM, JIT and Directory architectures (e.g., Okta, LDAP, SailPoint).
Governance and Compliance:
Familiarity with governance and compliance frameworks (SOC2, SOX, PCI), including driving audit-related access certification reviews.
Collaboration skills:
Strong collaborative communicator thriving in Agile environments, with a continuous learning mindset and a resourceful, "can-do" approach to complex problem-solving.
You embody our company value of Evolve: you view challenges as learning opportunities and continuously seek to improve.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer.
You'll own the technical strategy across four interconnected pillars:
- Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools.
- CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering.
As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through.
Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings.
_______________________________________________________________________
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use.
You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope.
You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities.
_______________________________________________________________________
RESPONSIBILITIES
Technical Leadership & Architecture
- Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools
- Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility)
- Establish architectural patterns, technical standards, and best practices across the developer tooling stack
- Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services
- Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks
- Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Systems Design & Implementation
- Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction
- Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns
- Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management
- Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems)
Strategic Impact & Innovation
- Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy
- Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does
- Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction
- Lead cross-functional technical discussions influencing company-wide developer tooling architecture
- Define technical approach for productizing successful internal developer tools into customer-facing offerings
Leadership & Mentorship
- Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration
- Lead design reviews and technical decision-making across all developer tooling work
- Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team
- Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization
- Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
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QUALIFICATIONS
REQUIRED
- 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale
- Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns
- Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling
- Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster
- Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development
- Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
- Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs
- Strong communication skills with ability to influence technical and non-technical stakeholders
- Track record of technical mentorship and elevating engineering teams' capabilities
- Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable with autonomous work in distributed, remote-first teams across multiple time zones
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in DevOps, SRE, or platform engineering domains
- Contributions to open source developer tooling, platform engineering, or observability projects
- Experience productizing internal platforms into commercial offerings
- Deep knowledge of security, compliance, and operational best practices for production systems
- Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure)
- Track record driving org-wide adoption of developer tooling and engineering standards
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WHAT TO EXPECT
FIRST 30 DAYS
- Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap
- Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform
- Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars
- Review existing tools in production and understand what's working, what isn't, and the technical lessons learned
- Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars
FIRST 90 DAYS
- Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model
- Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work
- Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management
- Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure
- Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact
- Create architectural decision records and best practices guides for teams building on the platform
FIRST YEAR OUTLOOK
- Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value
- Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction
- Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times
- Lead technical strategy for productizing successful internal tools into customer-facing offerings
- Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing
- Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $198K – $319K base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
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