Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We are seeking an IT Security Engineer to own the security standards and controls that protect Alpaca’s workforce identities, endpoints, and critical business systems. The scope includes identity and access management, single sign-on, privileged access, multi-factor authentication, endpoint security, secure network access, and email security.
You will maintain those standards, measure how the controls are working, and partner with IT, who run devices and day-to-day administration.
This role reports to the Enterprise Security Architect and works closely with IT, DevOps, Engineering, GRC, and the wider Security team.
The Security Team is 100% distributed and remote.
Things You Get To Do:
The core responsibilities of the IT Security Engineer are focused on identity security, endpoint security, email and domain protection, and measurable control enforcement.
Identity and Access Security:
IAM and SSO Standards:
Define and maintain security standards for SSO and conditional access across cloud, SaaS, and internal systems.
Multi-Factor Authentication:
Own multi-factor authentication standards, including phishing-resistant methods, and keep them enforced.
Privileged Access:
Maintain privileged-access standards, approval policies, and periodic access reviews with system owners.
Joiner, Mover, Leaver:
Partner with IT and People teams so access changes are timely, complete, and auditable.
Endpoint, Email, and Domain Security:
EDR Policy:
Own endpoint detection and response policy and tuning, with IT handling deployment.
Device Posture:
Maintain device-posture and secure network access requirements for access to business applications.
Control Measurement:
Measure identity and endpoint controls and follow up where they are not met.
Detection Partnership:
Work with Security Operations on identity, endpoint, and email detections and response playbooks.
Admin Access:
Maintain security baselines for administrator access to critical SaaS platforms and vendor accounts.
Vendor Security Events:
Assess the identity and account impact when a SaaS provider or vendor reports a security event.
Email Security:
Own email authentication standards and email security configuration.
Domain Protection:
Maintain security standards for company domains and for monitoring lookalike domains.
Phishing Response:
Triage reported phishing and coordinate takedowns.
Incident Response and Collaboration:
Incident Support:
Lead the identity, endpoint, and email aspects of security incidents, including account containment.
On-Call:
Participate in the Security Operations on-call rotation after onboarding and cross-training.
Enablement:
Give IT and employees clear guidance on security requirements, so controls are adopted without slowing the business.
Who You Are (Must-Haves):
Excited about Alpaca’s mission and what we’re building
3+ years of experience in IT security, identity security, or security engineering roles
Hands-on experience with an identity provider and SSO, including SAML and OIDC
Experience enforcing phishing-resistant MFA, such as FIDO2 or hardware security keys
Hands-on experience with an endpoint detection and response platform
Scripting or automation experience (Python, Bash, or PowerShell)
Experience with zero-trust network access or device-posture controls
Working knowledge of email authentication (SPF, DKIM, DMARC) and phishing response
Experience working closely with IT teams and translating security requirements into operational workflows
Experience investigating identity, endpoint, or email security alerts
Willing to participate in an on-call rotation
Strong written and verbal communication skills, especially during incidents
Comfortable working cross-functionally and handling escalations calmly and decisively
Who You Might Be
(
Nice-to-Haves):
Experience securing financial, trading, or other highly regulated platforms
Familiarity with compliance frameworks such as SOC 2 or ISO 27001
Experience with just-in-time privileged access tools
Experience securing administrator access to SaaS platforms
Experience with password managers and secrets management at company scale
Experience with MDM platforms for macOS and Windows
Experience with cloud IAM in AWS, GCP, or Azure
Ability to balance security rigor with operational efficiency and business needs
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: United States
What the Role Is
We’re hiring a
Staff Software Engineer
who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce.
This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience.
If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on.
What You'll Own
A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes 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 and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team.
A few examples of initiatives you’d drive on the Search team:
Build search in-house.
Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below.
Define what a good result is.
Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect.
Unify search across everything we show.
One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do.
Decide how search and recommendations fit together.
Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models.
Make search conversational.
Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product.
Like every Staff Engineer here, you will:
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.
Set the standard for how search 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
Who You Are
You meet the Staff bar at Babylist. 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.
On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring:
Hands-on search experience:
building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow.
Experience evaluating search quality:
offline and online, including relevance judgments and A/B tests.
A focus on the user:
you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue.
Comfort building from zero:
you can define the problem, design the system and own it end to end.
You measure yourself by impact:
a customer outcome, or a system a dozen teams come to depend on.
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.
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: Intellias
Meet your recruiter
Stephen Palmer
stephen.palmer@intellias.com
https://www.linkedin.com...
Vacancy details
Management
Manager
Director
Bulgaria, Croatia, Poland, Portugal, Spain, United Kingdom
Remote
APPLY NOW
REFER A FRIEND
Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
What project we have for you
We are building a market-leading AI Solutions practice and are looking for a senior leader to anchor it across Europe. This is a hands-on leadership role at the intersection of technical depth, client advisory, and commercial growth. You will work with business segments and co-own AI outcomes end to end — from shaping opportunities and advising client executives, through architecting and delivering production-grade solutions, to building the team and offerings that let us scale.
This is not a pure management role and not a pure architect role. The right person can sit with a client CTO in the morning to frame a transformation roadmap, dive into a model architecture or agent design review in the afternoon, and shape the next quarter’s offering and pipeline in between. You will be a founding pillar of how we take AI from pilot to production at enterprise scale.
What you will do
Client Advisory & Pre-Sales
Act as the senior AI advisor and trusted partner to enterprise clients, translating business problems into pragmatic, value-driven AI strategies and roadmaps.
Lead pre-sales and solutioning: shape opportunities, scope and estimate engagements, run discovery and design workshops, and present to senior and C-level stakeholders.
Drive proposal and RFP responses, solution narratives, and commercial framing that differentiate us in competitive situations.
Identify and grow account opportunities, partnering with business development to convert advisory engagements into delivery programs.
Offering & Practice Development
Define and productize repeatable AI offerings, accelerators, and reusable assets that shorten time-to-value and improve delivery margins.
Establish reference architectures, delivery playbooks, and engineering standards for ML, GenAI, and agentic solutions.
Contribute to AI practice strategy and external thought leadership (points of view, frameworks, speaking, content).
Delivery Leadership
Support end-to-end delivery of AI programs — from PoC and pilot through to hardened production — ensuring solutions actually ship and operate, not just demonstrate.
Drive production readiness across the lifecycle: MLOps/LLMOps, evaluation, monitoring, cost management, security, and AI governance.
Manage program economics, scope, risk, quality, and stakeholder alignment across distributed delivery teams.
Technical Leadership
Provide hands-on technical direction across machine learning, deep learning, and GenAI/agentic systems, with the credibility to lead architecture and design reviews.
Make and defend platform and architecture decisions across hyperscaler and data ecosystems (AWS, Azure, GCP, Databricks, Salesforce etc.).
Set technical standards and uphold engineering quality, mentoring senior technical staff.
Team Building & Leadership
Recruit, build, and grow a high-performing AI delivery organization in Europe across data science, ML/AI engineering, and solution architecture.
Manage, coach, and develop senior practitioners; foster a culture of capability growth, certification, and continuous learning.
Operate effectively within a collaborative leadership model alongside business development and technology peers.
What you need for this
12+ years in technology, data, or engineering, with strong hands-on background in AI / ML / data science, including genuine hands-on practice (not solely oversight).
Demonstrable hands-on expertise in machine learning and deep learning— model development and experimentation with frameworks such as PyTorch or TensorFlow, and a working command of modern ML/DL techniques.
Proven track record delivering AI/ML solutions into production at enterprise scale — you have shipped systems that operate reliably in the real world.
Production experience on at least one major hyperscaler or data platform(AWS, Azure, GCP, or Databricks); multi-platform fluency is a strong advantage.
Hands-on production experience with GenAI and agentic systems — LLMs, RAG, orchestration and agent frameworks, tool/function calling, and evaluation of non-deterministic systems.
Experience leading both internally and externally — line-managing internal teams
and
owning external client programs as a delivery lead, engagement lead, or equivalent accountable role.
Executive-grade client presence — able to advise, influence, and build credibility with senior business and technology stakeholders.
Nice to Have:
Prior consulting or IT/professional-services experience — pre-sales, offering development, and accountability for running AI projects and programs (including revenue or margin contribution).
Experience building or scaling an AI / data practice or capability from an early stage.
Deep domain expertise in one or more priority verticals — e.g., retail, automotive & mobility, financial services, healthcare / medtech & life sciences, or telecom — sufficient to speak the client’s language and frame value, not just technology.
Familiarity with EU AI Act, GDPR, and responsible-AI / governance frameworks as applied to enterprise deployments.
Relevant certifications (AWS / Azure / GCP ML or AI, Databricks).
Advanced degree (MSc or PhD) in Computer Science, Data Science, Machine Learning, Engineering, or a related field.
Experience operating within nearshore / distributed delivery models.
Additional European languages.
What Success Looks Like (First 6–12 Months)
Established credibility with key clients and internal stakeholders as the go-to senior AI leader for one or more business segments.
Shaped and helped win AI engagements, with a measurable contribution to pipeline and bookings.
Stood up or sharpened a set of productized AI offerings and accelerators that the team can sell and deliver repeatably.
Promoted delivery and engineering standards and begun building a growing, high-quality AI team with measurable impact
Delivered (or put firmly on track) at least one flagship AI program running in client production.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
This position will own the data pipelines, transformations, and reporting processes that support accurate, complete, and timely furnishing of customer account information to credit bureaus. Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.
Design, develop, and maintain GIS software applications and geospatial solutions. Build interactive mapping applications and location-based services.
УдалённоСША; Candidates from eligible locations across the United States are encouraged to apply; Ability to collaborate with distributed teams across different US time zones; We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States
Location: Intellias
Meet your recruiter
Olha Yakuba
olha.yakuba@intellias.com
https://www.linkedin.com...
Vacancy details
DevOps Engineering
DevOps Engineer (AWS)
Principal
Bulgaria, Croatia, India, Poland, Portugal, Spain, Ukraine
Remote
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We are looking for a Senior Identity & Access Management Engineer to design and implement secure identity propagation and authorization patterns across AI agent ecosystems. The role focuses on runtime identity, On-Behalf-Of (OBO) token exchange, identity federation, and secure agent-to-tool communication using AWS Bedrock AgentCore and modern enterprise identity platforms.
You will be responsible for ensuring that agents, tools, and downstream APIs operate with properly scoped identities and permissions, enabling secure delegation, authorization enforcement, and credential isolation throughout the agent invocation lifecycle.
This position requires deep hands-on experience with OAuth 2.0, OIDC, JWT validation, token exchange workflows, and enterprise identity federation. Experience with workload identity brokering, agent authorization models, and policy-based access control is highly desirable.
What project we have for you
Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.
Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.
The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.
What you will do
Design and implement secure identity propagation across agent → tool → API interaction chains.
Build and support On-Behalf-Of (OBO) token exchange flows and scoped delegation mechanisms.
Integrate AWS Bedrock AgentCore Identity capabilities into agent runtime workflows.
Implement OAuth 2.0, OpenID Connect (OIDC), and JWT-based authentication and authorization patterns.
Develop identity federation integrations with enterprise identity providers such as Microsoft Entra ID, Okta, or Amazon Cognito.
Configure gateway-level outbound authorization and per-target credential management, ensuring sensitive credentials are never exposed to calling agents.
Build secure token issuance, validation, exchange, rotation, and lifecycle management processes.
Design and implement workload identity brokering and agent identity mapping mechanisms.
Implement identity-aware authorization controls using Cedar policies, claims mapping, and fine-grained access enforcement.
Collaborate with platform, security, and runtime teams to align identity controls with enterprise security standards.
Support secure agent-to-agent (A2A) and agent-to-tool invocation authorization patterns.
Participate in security reviews, threat modeling, and architecture discussions related to AI agent platforms.
Define and enforce best practices for runtime identity, federated access, delegated authorization, and credential protection.
What you need for this
Skills:
• AWS Bedrock AgentCore Identity or similar technology (inbound auth, outbound auth, token vault)
• On-Behalf-Of (OBO) token exchange and scoped identity propagation across agent → tool → API chains
• JWT / OAuth 2.0 / OIDC (claims, scopes, audience/issuer validation, short-lived scoped tokens)
• Identity federation and MS Entra Agent ID integration or similar technology (workload identity brokering)
• Gateway outbound authorization and per-target credential management (secrets never exposed to the calling agent)
• AgentCore Runtime integration of identity into the agent invocation lifecycle
• Cedar / MS Entra claims mapping for identity-aware authorization (coordination with Runtime Controls)
Experience:
• 5+ years cloud security or identity engineering
• Hands-on OAuth 2.0 / OIDC / JWT implementation (token issuance, validation, exchange)
• On-Behalf-Of / token-exchange flows in production (RFC 8693 or equivalent)
• Enterprise identity federation with MS Entra, Okta, or Cognito
• Secure credential/secret management and token lifecycle (rotation, vaulting)
Nice to have:
• AWS Bedrock AgentCore Identity early adopter or equivalent
• AWS AgentCore Gateway outbound-auth integration
• MCP / A2A tool-invocation auth patterns
• AgentCore Policy (Cedar) or AWS Verified Permissions exposure
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
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
.
The Infrastructure organization has the mission of building and delivering the compute orchestration environment, storage and data systems, and essential platform services behind all of Reddit.
The Infrastructure organization is looking to hire a backend software engineer to work collaboratively on a team dedicated to building out Reddit’s multi-cloud compute infrastructure. This is a high impact role where you will contribute to design, implementation, and operations for one of the largest sites in the world. The Infrastructure team’s mission is to provide a platform for teams to independently and effectively run their compute workloads in a performant, reliable, and secure way.
The position is a mix of software engineering and devops; a lot of the time, we are writing software to improve our compute infrastructure. But there is a substantial amount of troubleshooting and analysis to understand the real problems we face as we scale, and our customer’s workloads change.
What you’ll do:
Work collaboratively with a team of software engineers and systems engineers to create and maintain the foundational platform for running Reddit’s infrastructure.
Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit’s products in Go and sometimes Python.
Guide and contribute feedback to the technical and strategic direction of the compute platform
Automate critical aspects of the development process such as service creation and management, as well as critical infrastructure operations.
Mentor backend developers across the company.
Be the go-to person for developers on complex problems
Who you might be:
10+ years of experience developing internet-scale software, preferably in infrastructure roles.
8+ years experience with cloud infrastructure systems is a plus (Kubernetes, AWS / GCE ecosystems).
Experience in influencing larger (500+ engineers) organizations on technical direction/best practices.
Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
Strong focus on user experience, usability, scalability, and quality. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software at scale.
Software development experience in one or more general purpose programming languages; Python, Go, Rust, Java, C++.
Excellent communication skills to collaborate with a service-oriented team and company.
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:
$286,700
—
$401,400 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: 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
.
The Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build infrastructure, including a scatter-gather ranking coordination service, feature indexes, and scalable data pipelines that power personalized feeds, search, and other Reddit products. We partner closely with machine learning engineers who develop and productionize models, and with ML Platform teams that build inference and training services and feature stores.
Our team mantra is “Intention over Attention.” We help users fulfill their intention for visiting Reddit by connecting them with relevant content and communities. We are a team of builders who value impact, personal growth, openness, and kindness.
How You’ll Have Impact
As Engineering Manager for Ranking Platform, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You will partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into a clear platform strategy and deliver it from ideation through production.
You will be accountable for the team’s health, growth, execution, and operational excellence. Working with technical leaders, you will guide architecture and investment decisions, improve the experience of teams building on the platform, and balance new capabilities with reliability, latency, and infrastructure cost.
What You’ll Do
Lead: Set the team’s direction and roadmap with senior engineers and partner teams. Select, scope, and deliver high-impact initiatives that evolve the ranking coordination services, ML indexes, and data pipelines supporting Reddit’s feeds and discovery experiences.
Build: Hire, onboard, and develop a high-performing engineering team. Set clear expectations, provide actionable feedback, manage performance, and create growth opportunities for engineers at different career stages. Maintain direct feedback loops with engineers using the platform, and use their feedback and adoption patterns to guide investment.
Amplify: Coach engineers and technical leaders, delegate meaningful ownership, and build a culture of technical excellence, inclusion, and knowledge sharing. Protect engineers’ focus time by removing blockers, reducing unnecessary interruptions and keeping processes lightweight.
Deliver: Turn multi-quarter platform investments into achievable milestones. Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities as partner and business needs evolve.
Operate: Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening. Establish clear reliability and performance goals and use them to guide investment. Plan realistically for on-call work and unexpected requests, make reprioritization explicit and address unsustainable operational load.
Collaborate: Build strong partnerships with Feed, Search, Ads, ML Platform, and infrastructure teams. Align roadmaps, resolve competing requirements, and make platform capabilities easier to adopt and operate.
Evolve: Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable. Create space for experimentation and continuous learning while holding a high bar for production readiness, spotting unnecessary complexity and recognizing where simplification or consolidation would improve maintainability and help teams work more effectively.
What We’re Looking For
5+ years of people management experience leading high-performing engineering teams, including hiring, coaching, career development, and performance management.
7+ years of experience building large-scale backend distributed systems, including substantial experience developing and shipping production software.
Experience leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or streaming and batch data pipelines.
Strong technical judgment in high-throughput platform services and APIs, with the ability to guide tradeoffs among reliability, latency, scalability, data freshness, and cost alongside senior engineers.
A track record of defining technical direction and delivering platform initiatives across multiple quarters and teams, with clear prioritization and measurable outcomes.
Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering.
High empathy, excellent organizational and communication skills, and the ability to build consensus across engineering and product teams. You can explain complex technical decisions to technical and non-technical audiences and lead effectively in a distributed environment.
Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink is a plus.
BS degree in Computer Science, a similar technical field, or equivalent practical experience.
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:
$230,000
—
$322,000 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
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the product
Kimchi is Cast AI’s governed AI coding platform – an autonomous coding agent, inference layer, and spend control in one. By intelligently routing tasks across more than 50 open-weight and frontier models, Kimchi helps engineering organizations scale AI-assisted development without losing control of cost, security, or data.
As agentic AI coding becomes core infrastructure, token costs multiply, spend limits are merely opt-in, and source code flows to external models with little governance. Kimchi solves this with smart model orchestration, real-time cost attribution and enforced budget caps, agent guardrails, and full data sovereignty – including self-hosted deployment for the most regulated environments.
About the role
Every engineering org is rolling out AI coding agents, and almost none of them can see what it costs or where their code is going. The buyers are already asking the question Kimchi answers.
This is a founding seat. There is no Kimchi team on the ground in AMER yet. You will be one of the first account executives in the region, opening the first enterprise logos, choosing the partners and the events that matter, and shaping the playbook the next hires run.
You will not be starting cold. Kimchi sits inside Cast AI, so you inherit a well-funded company, a proven enterprise sales motion, and a large installed base of Cast AI customers who already trust us with their infrastructure. The market is moving fast. Your job is to get there first.
What'll You Own?
New logo acquisition across AMER enterprise accounts - the core of the role. You build and run your own outbound pipeline, every week, not as an afterthought
The full enterprise sales cycle: Opportunity Assessment, Value Discovery, technical validation (POCs and benchmark-driven evaluations), executive negotiation, and close
Multi-stakeholder deals with CTOs, CIOs, CISOs, CFOs, Heads of Engineering, and Platform Engineering leads, tying Kimchi to each account's AI coding cost, governance, and infrastructure challenges
Upsell opportunities into Cast AI's existing customer base, working alongside the team that owns expansions
Kimchi's partner ecosystem in AMER: identifying and pitching the right partners (including cloud providers like AWS and AI-native players), with the channel team supporting onboarding and joint programs
Market-building activity that feeds pipeline: picking the events worth showing up at, partnering with marketing on sponsorships and co-hosted events, and working with DevRel on developer community
Value Delivery after signature, working with implementation teams and measuring results against the business case
What'll You Need?
Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery
A demonstrated track record selling cloud SaaS in AI coding or developer platforms, AI/ML infrastructure, LLM cost optimization, cloud infrastructure, or FinOps, or a closely adjacent space
Hands-on experience running deals with the MEDDIC methodology
A history of successful negotiation and closing new-logo deals, with a genuine focus on long-term customer outcomes
A strong outbound orientation: you build your own pipeline consistently rather than relying on inbound
Comfort operating in a build-from-scratch environment, where you own the outcome and pull in partners, marketing, and DevRel to get there
What Makes You Stand Out?
You have sold complex AI, developer-platform, or cloud software to enterprise technical buyers and can independently create pipeline, run discovery, and close new logos
You are comfortable selling to financial and security stakeholders (CFOs, CISOs) as well as engineers - Kimchi deals are multi-stakeholder by nature
You have converted technical engagement or PLG usage into committed enterprise agreements
You have built partner or ecosystem relationships (cloud marketplaces, SIs, AI-native vendors) that turned into sourced pipeline
You have been an early or founding seller in a new region or product line
What’s in it for you (US)?
Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology.
Enjoy a flexible, remote-first global environment.
401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment).
Access UnitedHealthcare plans including medical, dental, and vision coverage.
Equity options.
Learning budget for your professional and personal growth.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Hiring process
Screening call with Recruiter
Hiring Manager interview
1-2 additional interviews based on the role
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: New York
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment.
This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm.
Your Future Role within QRT
Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform.
Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams.
Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows.
Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure.
Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate.
Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow.
Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems.
Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity.
Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities.
Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments.
Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value.
Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement.
Your present skillset
At least five years of experience developing and supporting production-grade software.
Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++.
Experience designing maintainable, testable and scalable applications and services.
A strong understanding of software design principles, data structures, algorithms and engineering fundamentals.
Experience building RESTful APIs, distributed systems or event-driven architectures.
Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines.
Experience with public cloud technologies, preferably AWS.
An understanding of messaging technologies such as Kafka or RabbitMQ.
Experience considering reliability, observability, performance and failure recovery when designing production systems.
Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs.
The ability to work effectively with both technical and non-technical stakeholders.
Base salary range for this position is $180,000 to $300,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Для предполагаемого расширения технического направления ищем DevOps-инженера, который займётся облачной инфраструктурой клиентских проектов, автоматизацией развёртывания и обеспечением стабильной работы веб-сервисов. • Проектирование и поддержка инфраструктуры в AWS.
Location: Intellias
Meet your recruiter
Viktoriia Borsuk
viktoriia.borsuk@intellias.com
https://www.linkedin.com...
Vacancy details
Test Engineering
Manual Test Engineer
Senior
Ukraine
Remote
APPLY NOW
REFER A FRIEND
Build the next generation of digital banking for 18M users. We are looking for a Senior General QA, focused mainly on manual mobile testing with solid automation knowledge. You will ensure the quality of customer-facing changes for a leading Ukrainian bank, validating mobile functionality end-to-end across mobile and web applications, APIs, and integrations. The platform is powered by an enterprise-grade, AWS-based, service-oriented backend with multiple databases and complex integrations—requiring strong attention to reliability, security, performance, and high availability. This is a transformation-scale environment where your testing and quality decisions directly affect millions of customers. Expect real ownership, complex challenges, and measurable impact.
What project we have for you
This project is focused on evolving an enterprise-grade digital banking platform for a leading Ukrainian bank serving ~18 million customers. The ecosystem includes a customer-facing mobile application and web channels, supported by a service-oriented backend running on AWS with modern technologies and native managed services.
What you will do
·Test mobile application and web solutions (with mobile as the priority).
·Contribute to test strategy based on identified customer quality expectations and plan testing activities
· Design test scenarios for features with any level of complexity and involve all relevant testing types to ensure comprehensive and accurate testing
· Actively apply experience-based and complex requirements-based test design techniques
· Set up software quality and testing process quality metrics
· Identify project and product quality risks, monitor, control them, and build response strategies
· Estimate the time and effort required for test execution, considering factors such as project complexity, scope, and resources availability
· Execute testing activities using relevant tools to enhance the effectiveness and efficiency of testing
· Prepare Test Summary Reports that accurately summarize the results of testing efforts and presenting them to stakeholders
What you need for this
Required Skills
5+ years of hands-on experience in Quality Assurance (2+ years of commercial experience in mobile application testing)
Understanding of key QA metrics, interpreting and analysing them to identify areas for improvement
Proficiency in developing and maintaining traceability matrixes and testing guidelines to ensure accurate and consistent testing outcomes
Ability to troubleshoot, debug and diagnose problems that arise during testing of the software on the target platform (WEB/Desktop/Mobile/Embedded)
Understanding of Android and iOS platforms (AOS/iOS), including device-level troubleshooting.
Understanding of mobile OS architecture and platform-specific behaviors; ability to explain and apply platform differences in testing strategy.
High-level mobile testing expertise: strong understanding of mobile-specific testing approaches, risks, and quality criteria (app lifecycle, background/foreground behavior, permissions, notifications, network variability, device fragmentation, OS versions), understanding of Android and iOS platforms (AOS/iOS)
Practical experience with device-level troubleshooting and advanced testing setups: ADB usage (Android) and working with device logs (e.g., logcat, crash logs); OS-level testing configurations (e.g., limiting background processes, power/battery constraints, network constraints, developer options)
Strong skills in traffic analysis and debugging: Experience with sniffers/proxy tools such as Charles, Proxyman, Fiddler (or equivalents); Ability to capture, analyze, and validate network requests/responses and troubleshoot issues
Hands-on experience with at Test management tools
Solid practical experience in testing APIs using Postman, Swagger, DevTools; clear understanding of REST and client–server architecture principles.
Experience with traffic/proxy and debugging tools: Proxyman, Fiddler (or equivalents).
Knowledge of version control systems and Continuous Integration/Continuous Deployment tools, Linux CLI
Knowledge of SQL and the ability to write queries to verify data in the application
Knowledge of test management tools and ability to maintain traceability matrices and testing guidelines.
Hands-on automation experience: tools such as Appium, TestNG, Selenide and programming languages Java and/or Kotlin.
Will be a Plus
Excellent interpersonal and cross-culture communication skills
Practice experience with noSQL
Experience with at least one common DBs (Apache CouchDB, Couchbase, MongoDB, etc.)
Experience with AWS/Azure/GCP services
Ability to apply test design techniques in practice (equivalence partitioning, boundary values, decision tables, state transition, pairwise, exploratory), ideally with real product examples (e.g., banking flows).
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Mobile
Location: Intellias
Meet your recruiter
Kateryna Zemetska
kateryna.zemetska@intellias.com
https://www.linkedin.com...
Vacancy details
DevOps Engineering
DevOps Architect
Architect
Bulgaria, Croatia, Poland, Portugal, Spain
Remote
APPLY NOW
REFER A FRIEND
Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.
What project we have for you
The client is undergoing a large-scale cloud and security modernization program aimed at transforming its application architecture and strengthening enterprise governance across environments.
What you will do
Design and implement DevOps processes: responsible for designing and implementing DevOps processes, such as continuous integration and delivery, automated testing, and deployment automation, to accelerate software delivery and improve quality.
Infrastructure management: designs and manages cloud-based infrastructure using tools such as AWS, Azure, or GCP, to ensure scalability, high availability, and cost-effectiveness.
Automation: responsible for automating manual processes across the software development lifecycle to improve efficiency, consistency, and reliability.
Performance optimization: analyzes system performance and identifies opportunities for optimization, such as load balancing, caching, and database tuning.
Security and compliance: ensures that the DevOps processes and infrastructure meet security and compliance standards.
Team management: leads and manages a team of DevOps Engineers, providing technical guidance, mentoring, and coaching to ensure the team’s success.
Collaboration: collaborates with other teams, such as development, QA, and operations, to ensure smooth integration and alignment of processes and goals.
Continuous improvement: responsible for continuously improving DevOps processes, infrastructure, and tools to achieve higher efficiency, quality, and scalability.
What you need for this
7+ years of experience working as a DevOps
Technical expertise: in-depth knowledge and expertise in software development, automation, cloud computing, infrastructure management, and DevOps tools and technologies such as Docker, Kubernetes, Jenkins, Git, Ansible, Terraform, etc.
Cloud computing: expertise in designing, deploying, and managing cloud-based infrastructure using Azure. Other cloud platforms and services will be a plus.
Automation: experience in automating manual processes across the software development lifecycle to improve efficiency, consistency, and reliability.
Software development: strong understanding of software development methodologies, coding practices, and programming languages to enable effective collaboration with development teams.
Infrastructure management: expertise in managing and optimizing infrastructure, such as servers, databases, networks, storage, and security.
Continuous integration and delivery (CI/CD): experience in designing and implementing efficient and reliable CI/CD pipelines to accelerate software delivery and improve quality.
Security and compliance: knowledge of security best practices and compliance requirements to ensure that the DevOps processes and infrastructure meet security and compliance standards.
Leadership and communication: strong leadership skills to manage and motivate a team of DevOps Engineers, as well as excellent communication skills to facilitate collaboration and alignment with other teams and stakeholders.
Strategic thinking: able to think strategically and align the DevOps function with business goals and objectives.
English level B2/C1
Leadership: strong leadership skills to lead and motivate a team of DevOps Engineers, as well as to influence and guide other teams and stakeholders towards DevOps adoption.
Adaptability: able to adapt to changes in technology, processes, and business requirements and be open to new ideas and approaches.
Curiosity: A desire to learn and explore new technologies, methodologies, and best practices is essential to stay current in the fast-paced DevOps field.
Communication: Clear and effective communication skills are essential to collaborate with other teams, stakeholders, and management.
Teamwork: able to work well in cross-functional teams, share knowledge, and collaborate on projects to achieve common goals.
Problem-solving: strong problem-solving skills to identify and troubleshoot complex system issues.
Attention to detail: detail-oriented and ensure that their work meets high standards of quality and accuracy.
Time management: be able to prioritize tasks effectively and manage their time efficiently to meet project deadlines.
Continuous learning: continuous learning and keeping up with the latest technologies, trends, and best practices in DevOps.
Customer focus: customer-focused and work towards improving the end-user experience through efficient and reliable software delivery.
Will be a plus:
An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Location: Bangalore - Engineering
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your mission
We see boundless potential in the way we live. It drives the way we work. Our culture is our most valuable asset. It acts like a compass for us. We are fast, immersed, humble and bold. And thatʼs not just words on the walls.
Eliminating time-consuming tasks means people get to do more of what they love. Itʼs an inspiring, high stakes challenge that motivates us, and this common passion bonds UiPath employees globally. We all strive every day to be better and to accelerate human achievement. We make software robots, so people donʼt have to be robots. Would you like to be part of this journey?
At UiPath's Site Reliability team, we build the platforms and systems the entire company depends on to deliver on our compliance and SLA promises to customers. These span services and tools that enforce cloud access policies, cost governance, observability, operational excellence, and reliability across UiPath. We are scaling each of these pillars, and building the next generation of capabilities on each, powered by AI.
This is a software engineering role. You will not be the person who identifies a reliability gap and files a ticket for another team to fix. You are the engineer who identifies the gaps across teams, designs the system that closes it, builds it, ships it, and drives its adoption — often by doing the integration work yourself rather than asking other teams to come to you. You build platforms that other engineers depend on in their critical path, and you hold yourself accountable to outcomes, not outputs.
You treat every system you ship as a product: you put it in front of users early, seek feedback aggressively, and iterate until it delivers real results. If adoption is slow, you donʼt blame the docs — you sit with the team, understand the friction, and remove it.
What you will be doing at UiPath
As a Principal Software Engineer, you will
- Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating them as products that other engineering teams depend on in their critical path.
- Participate in livesite monitoring rotations, handle escalations, and drive effective mitigations — aggressively reducing customer impact through broad, detailed, and effective postmortems.
- Drive availability, scalability, and performance improvements based on livesite learnings. Generate (or codify existing) best practices and ensure they are followed widely across UiPath — not by publishing guidance, but by embedding them into the systems you build.
- Ensure technical deliverables meet or exceed expectations on reliability, scalability, quality, and performance. Identify and drive architectural changes that significantly move the needle on these dimensions.
- Onboard other teams onto your platforms by driving outcomes yourself — writing the integrations, pairing with their engineers, removing friction — rather than handing off documentation and waiting.
- Ship early, seek feedback relentlessly, and iterate fast. Treat every user complaint as a design input, not a support ticket.
- Drive task planning, estimation, scheduling, and staffing.
- Mentor Software Engineers to develop their skills and knowledge through hands-on coaching, advice, and training opportunities.
- Participate in and influence process improvements and best practices across the engineering organization.
What youʼll bring to UiPath
- Proven track record (10+ years) of architecting and engineering world-class, large-scale, distributed commercial applications and services, and ensuring customer success.
- Experience building large-scale, complex internal platforms adopted by 10+ teams in their critical path at a large company — systems that have stood the test of time, not prototypes that were handed off or abandoned.
- Demonstrated ability to drive adoption of your systems by doing the hard work yourself: writing integrations, removing friction for other teams, and measuring success by outcomes delivered — not features shipped.
- Experience building and maintaining complex AI-powered applications in production.
- Proficiency in one or more object-oriented languages (such as C#, C++, Go, or Python), backed by solid computer science fundamentals.
- Deep understanding of data structures, algorithms, multithreading, synchronization, asynchronous patterns, and cloud programming.
- Experience with service-oriented and microservice-based architectures, HTTP applications, and web services development.
- Familiarity with modern engineering practices including agile development, CI/CD, and DevOps. Ability to work with globally distributed teams.
- Experience working with or managing production Kubernetes infrastructure is a plus.
- Experience with any of the cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a must.
- Experience with database backends (e.g., Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.)
#LI-VR1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Intellias
Meet your recruiter
Viktoriia Tochylova
viktoriia.tochylova@intellias.com
https://www.linkedin.com...
Vacancy details
AI/ML Engineering
Machine Learning Engineer
Senior
Bulgaria, Croatia, Poland, Portugal, Spain
Remote
APPLY NOW
REFER A FRIEND
Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
What project we have for you
Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.
What you will do
Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment.
Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges.
Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions.
Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring.
Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints.
Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring.
Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies.
Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks.
Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization.
Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning.
Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements.
What you need for this
Required skills:
5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions.
Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field.
Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation.
Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI.
Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems.
Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring.
Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn.
Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent.
Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments.
Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring.
Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations.
Proficiency with version control (Git) and software engineering best practices for collaborative ML development.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Will be a plus:
Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment.
Experience with model serving and inference optimization tools such as vLLM.
Experience working with feature stores, real-time data pipelines, or streaming AI systems.
Experience with distributed training or large-scale model training frameworks.
Experience with multimodal AI systems (vision-language models, audio-text, document AI).
Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.).
Experience contributing to open-source ML projects or publications in peer-reviewed venues.
An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Location: cairo, Egypt
Role summary
Reports to:
Director of Programs and Customer Success
Location:
Cairo, Egypt (hybrid), with regular travel across the GCC
Works closely with:
Commercial team, Program Managers, Costing and Pricing, Strategic Partnerships
The role.
The Solutions Lead is the bridge between what partners need and what Manara can deliver. You will research ecosystems and prospective partners, build a deep working knowledge of our delivery capabilities, and turn that into proposals and concept notes that win. You will pitch alongside the commercial team as the owner of the solution, then hand over cleanly to Programs for delivery.
What you will do
Ecosystem and partner research
Map target ecosystems across MENA (governments, foundations, tech companies, development organizations), with priority on KSA, UAE, Qatar, and Egypt.
Build partner briefs covering strategic priorities, funding cycles, workforce agendas, and decision makers.
Track national strategies, labor market data, and policy shifts, and turn them into the evidence base for each proposal.
Delivery capability mastery
Learn Manara's program models, curricula, delivery partners, certification pathways, outcomes data, and operational constraints in detail.
Own a living capability library: case studies, program archetypes, impact metrics, and reusable proposal modules.
Work with Program Managers to keep the library accurate and grounded in what we can actually deliver.
Proposal and concept note design
Lead concept notes, proposals, and pitch decks from first brief to final submission.
Design program architecture: target cohorts, learning journeys, delivery model, timelines, KPIs, and MEL frameworks.
Build realistic delivery budgets with Costing, and align on pricing and terms with the commercial team.
Run feasibility checks before we commit, and flag delivery risks early.
Pitching and stakeholder engagement
Co-present with the commercial team, owning the solution narrative and answering technical and design questions.
Lead discovery conversations to sharpen requirements and tailor the offer.
Manage revisions and follow-ups through to contracting.
Handover and continuous improvement
Produce structured handover packs so Programs can launch without re-scoping.
Run win/loss reviews and feed lessons into templates, positioning, and the capability library.
What success looks like in the first 6 months
Owns end-to-end pre-sales on at least 5 active opportunities with minimal Director involvement.
Capability library and proposal template set are live and used by the commercial team.
Average proposal turnaround is shorter, and every submission passes a feasibility and costing check.
No major re-scoping after handover on newly won programs.
What we are looking for
Must have
5+ years in pre-sales, solution design, proposal development, or program design, ideally in education, workforce development, consulting, or tech.
A track record of winning proposals or concept notes for government, foundation, or corporate funders.
Strong research and synthesis: you can turn a national strategy and a labor market report into a sharp program rationale.
Excellent written and spoken English and Arabic.
Confidence presenting to senior stakeholders and defending design choices.
Commercial awareness: you understand margins, cost drivers, and how scope shapes price.
Nice to have
Experience with GCC government entities or development organizations.
Familiarity with cloud, AI, or digital skills ecosystems (AWS, Google, Microsoft, Adobe).
Background in MEL or outcomes-based program design.
Strong deck-building and visual storytelling skills.
What this role is not
This is not a sales quota role and not a delivery role. You will not own long-term partner relationships or run programs. You will own the quality, feasibility, and persuasiveness of everything we propose.
United States
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