Задачи:
— Разрабатывать и поддерживать фронтенд-приложения на Next.js 14, React 18 и TypeScript;
— Строить адаптивные и переиспользуемые UI-компоненты на Tailwind CSS;
— Проектировать и разрабатывать REST API на FastAPI и Starlette;
— Проектировать, оптимизировать и поддерживать базы данных PostgreSQL и TimescaleDB;
— Реализовывать кеширование и оптимизацию производительности на Redis;
— Сотрудничать с продакт-менеджерами, дизайнерами и инженерами для поставки качественных фич;
— Писать чистый, поддерживаемый и покрытый тестами код;
— Участвовать в код-ревью и технических обсуждениях;
— Диагностировать, дебажить и оптимизировать производительность приложения.
Требования:
— Обязателен свежий опыт (минимум 1 год) именно в iGaming;
— Уверенное владение всем указанным стеком технологий;
— Опыт проектирования REST API и работы с реляционными БД.
Будет плюсом:
— Docker и контейнеризованные деплои;
— CI/CD пайплайны;
— Облачные платформы (AWS, GCP или Azure);
— Аутентификация (JWT, OAuth);
— Опыт построения масштабируемых высоконагруженных приложений.
Location: Lisbon
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Software Engineer plays role in a team is technically responsible for particular feature delivery which consists of:
Presenting a solution to Architects
Technical drive feature delivery, make decisions, development leadership - distribute tasks across one or two regular engineers
Work with QA to review testing approaches, provide all details needed for testing, and review test plans
Be responsible for all internal feature documentation
Job Duties and Responsibilities:
Work closely with Tech leads and architects, Kanban master, QA and PM to deliver high-quality work
Complex features development
Provide good code coverage in unit and integration testing
Be ready for every day technical decisions
Professional communication with other cross-functional team representatives
Be ready for sustenance in areas under engineer's responsibility
Skills You Must Have:
2+ years of experience in enterprise application design, development
2+ Experience in backend applications development
Proven ability to deliver solutions, offer implementation support, and engage with customers.
1+ years of experience in building scalable distributed data systems using Java and Cloud Technology.
Good technical background with previous development experience for enterprise customers
Strong Java knowledge (Java 8 and above), Java Runtime basics
Provide Technical mentorship and leadership to junior team members.
Hands-on technically, comfortable reviewing and writing code.
Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
Experience in performance optimisations, code profiling, and Java application runtime analysis
Skills That Are Nice to Have:
Experience in customer support in the SaaS area
Experience in building scalable distributed data systems using Cloud Technology
Technical background with previous development experience for enterprise customers
Experience with Big Data Technologies
Experience with No-SQL databases
Experience with cloud-managed services - AWS, GBT, Azure
MS or equivalent experience
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: Portugal; Brazil; Poland; Argentina; India; Pakistan
This position is open to candidates worldwide, meaning you can apply and work from anywhere as long as you meet all the requirements.
As a Staff Software Engineer, you will be at the core of one of the most technically demanding challenges in modern web infrastructure: optimizing how web traffic is intercepted, processed, and delivered at massive scale across an edge computing platform. You will work on a system handling tens of thousands of requests per second and tens of billions of dollars of annual e-commerce volume, alongside a small, high-caliber engineering team where every engineer owns a meaningful piece of the system.
This is not a ticket-execution role. You will be a technical leader in architecture and design, collaborating directly with the CTO and lead platform engineer to define how the platform evolves. You will plan rollouts methodically, define success metrics before shipping, debug complex cross-browser and cross-device behavior, and build systems that cannot fail.
Responsibilities
Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer
Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view
Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes
Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies
Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework
Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist
Mentor engineers and serve as a point of technical escalation for complex platform challenges
Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques
Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality
Requirements
10 years of software engineering experience with a strong background in building and scaling high-traffic, multi-tenant web platforms
Expert-level proficiency in TypeScript (primary language), JavaScript (real JS, not just framework-level), and Python
Demonstrated experience designing and operating distributed, high-availability systems at meaningful scale
Cloud platform experience: AWS, GCP, or Azure (cloud agnostic environment)
Experience with CDN infrastructure and web performance optimization: tools such as Cloudflare, Lighthouse, WebPageTest, and techniques such as web workers, lazy loading, and code splitting
Infrastructure as Code experience (Pulumi or equivalent)
Strong SQL and data querying skills; ability to work with data warehouses and build data-driven engineering decisions
Experience with message queues (SQS, Kinesis, or equivalent) and CI/CD pipelines
Data storage: PostgreSQL, Redshift, or equivalent
Strong problem-solving skills and detail orientation: understands that at massive traffic scale, edge cases are not edge cases
Active AI tool usage in engineering workflow: Claude Code, GitHub Copilot, Codex, or equivalent
Strong English communication: comfortable in technical discussions and async written collaboration with a distributed team
Available to work full Eastern Standard Time hours
Be legally authorized to work as independent contractor in the country where you are located
Preferred
Cloudflare Workers or edge computing experience (highly preferred given the platform architecture)
E-commerce platform experience: Shopify, Salesforce Commerce Cloud, or similar
Snowflake or data warehouse query optimization experience
Media or high-traffic publishing platform background
Experience running or leading a multi-brand or multi-tenant web platform
Prior startup experience where you owned significant platform surface area with a small team
Agile/Scrum experience in a distributed team environment
Benefits
Salary:
$9,000 to $12,000 USD per month
PTO:
15 days
Holidays:
Local or US holidays
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a
Senior Staff Software Engineer
to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem.
This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran. Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation. Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps.
This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability.
This is a full-time position based out of our Oakland, CA office.
Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, TypeScript/React
Kubernetes, GCP Cloud SQL (PostgreSQL)
BigQuery data sources, Claude API, Agent SDK
GTM systems - Salesforce, Outreach, Gong, and Zendesk
What You’ll Do
Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to independently lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like BuildKite
Knowledge of observability tools like New Relic/Grafana is a plus
Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based platforms
#LI-HYBRID #LI-VA1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$232,338
—
$290,422 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments.
This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.
To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes
orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture.
EXAMPLE INITIATIVES
- The B200 Frontier: Architecting the infrastructure readiness and deployment strategy
for Baseten's first Blackwell GPU clusters.
Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems
to move customer workloads seamlessly across regions to optimize cost and latency.
- Precision GPU Triage: Developing automated Go-based operators to identify, cordon,
and repair unhealthy H100 nodes in under an hour.
- The Supply Chain of Intelligence: Partnering with leadership to secure and reserve
dedicated capacity for Baseten’s largest enterprise customers.
RESPONSIBILITIES
- Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200),
managing the full lifecycle of acquisition, air traffic control, and maintenance for those
assets.
- Advanced Orchestration: Execute complex workload migrations and "sticky"
deployment drains, ensuring deployment scheduling rules meet strict regional and
compliance requirements.
- Build for Scalability: Design and implement the "next version" of Baseten’s capacity
management system to handle a 10x increase in GPU volume.
Financial Modeling: Leverage your understanding of unit economics to build ROI
models for GPU spend, ensuring Baseten scales profitably.
- Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete
operational tasks off their plate and verify "last mile" follow-through on infrastructure
changes.
- Incident Response: Lead capacity-crunch response by rapidly untainting and re-
coordinating workloads during high-pressure outages.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics,
or a related field
- 5+ years of professional work experience in a high-growth environment, preferably at a
hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
- Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node
draining, and custom operators
- Demonstrated experience with Go or Python in a production-level environment
Strong financial literacy and the ability to model complex trade-offs between capacity
reliability and cost
- High tenacity and collaborative mindset
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Dublin, Ireland
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT US:
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE:
Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day.
We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role.
You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day.
WHAT YOU'LL ACHIEVE:
- Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS.
- Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS.
- Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools.
- Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift.
- Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection.
- Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse.
- Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream.
- Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC.
SKILLS YOU NEED TO BRING:
- Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company.
- Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM).
- Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments.
- Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration.
- Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors.
- Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level.
- Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC.
NICE TO HAVES:
- Experience at a fast-growing tech or AI company where the security program had to outpace headcount.
- A background in IT engineering, SRE, or production engineering that transitioned into security engineering.
- Experience building internal security tooling or workflows that improved employee or developer experience.
- Contributions to the security community through open-source tools, blog posts, or conference talks.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: NAMER and LatAm
About the Team
IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power.
About the Role
We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time.
Success
This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on:
- Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility
- A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams
- Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond)
- Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage
- Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements
YOU WILL
Build AI-Powered Solutions
- Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases
- Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management
- Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases
- Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context
Support Model Evaluation
- Help test and benchmark AI models against accuracy, latency, cost, and safety criteria
- Support model risk assessments and due diligence alongside Security and GRC
- Help implement and maintain the internal model routing solution
Support Cost Visibility
- Help build dashboards and reporting for AI/LLM spend across teams and tools
- Implement tagging, monitoring, and alerting for cost anomalies
- Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing)
Maintain Agent Infrastructure
- Help provision, credential, and de-provision AI agent access
- Support deployment, versioning, monitoring, and retirement of agents
- Maintain and patch agent infrastructure and dependencies
- Help maintain audit trails and logging for agent actions
Deliver Training and Enablement
- Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers
- Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption
- Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents
- Establish a feedback loop with users to continuously improve training content, tooling, and documentation
YOU BRING
You are not expected to have every skill below — tell us which are your strongest.
- Experience building with modern AI/ML tools and frameworks
- Experience building and consuming APIs, developing data pipelines, and architecting system integrations
- Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production
- Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality
- Comfort working with usage and billing data to build cost visibility, forecasting, or optimization
- Ability to understand both business and engineering workflows and translate them into technical solutions
- Experience working with or integrating business systems as well as engineering/developer tooling
- Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences
- Understanding of data privacy, security, and compliance considerations
- Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Bucharest
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
As a Principal Software Engineer, you will help define and evolve the technical strategy for cloud services that power critical automation capabilities across the UiPath platform. You will lead architecture and design across complex backend and distributed systems, often working through ambiguity, dependencies, and cross-team impact. You will help teams make the right technical tradeoffs across scalability, reliability, security, customer experience, operational excellence, and cloud cost, while setting engineering standards that support UiPath’s current and future growth.
WHAT YOU'LL DO AT UIPATH
- Lead the architecture and technical direction of complex backend and cloud-native services across the UiPath platform.
- Design scalable, secure, reliable, and high-performing distributed systems across cloud, on-premises, and hybrid environments.
- Partner with engineering leaders, architects, product managers, and cross-functional teams to shape technical solutions for high-impact product and platform areas.
- Drive technical planning and roadmap input for complex services, platform capabilities, or cross-team initiatives.
- Identify long-term scalability, reliability, security, performance, and cost challenges, and lead the design of sustainable solutions.
- Set high standards for system design, code quality, testing, observability, automation, incident management, and engineering excellence.
- Mentor and guide engineers through design reviews, technical discussions, architecture decisions, and hands-on technical feedback.
WHAT YOU'LL BRING TO THE TEAM
- 7+ years of software engineering experience, with strong backend and cloud development experience.
- Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go.
- Strong experience designing and building distributed systems, microservices, APIs, and cloud-native architectures.
- Proven ability to influence technical direction and drive architecture decisions across teams.
- Experience building and operating production-grade services in cloud environments such as Azure, AWS, or GCP.
- Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, observability, and production operations.
- Strong understanding of system design, data structures, algorithms, multithreading, asynchronous programming, and performance optimization.
- Experience with relational and/or NoSQL databases, messaging systems, event-driven architectures, or high-scale data processing.
- Ability to balance customer experience, reliability, security, scalability, and cloud cost when making technical decisions.
- Strong technical leadership, ownership, and communication skills, with the ability to guide teams through ambiguity.
- Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus.
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: Algiers, Algeria; Algeria (East); Algeria (West)
Workplace: hybrid
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
What we're looking for
We are seeking a highly skilled and experienced Senior CloudOps Engineer to join our Mobility team. The ideal candidate will have a strong background in cloud infrastructure and operations, with a passion for helping engineering squads ship reliable, scalable systems. You will work daily across different squads, providing hands-on infrastructure support, proposing architecture and tooling improvements, and helping define the best approach to build and maintain our infrastructure on GCP.
Responsibilities
Work daily with different engineering squads to support, troubleshoot, and evolve their infrastructure needs.
Design, propose, and implement scalable, secure, and reliable infrastructure on GCP.
Advise squads on infrastructure architecture and best practices, helping them choose the right setup for their projects.
Monitor and troubleshoot production systems, identifying and resolving issues in a timely manner.
Automate provisioning, deployment, and scaling processes to minimize downtime and manual effort.
Continuously improve infrastructure, tooling, and processes to increase efficiency and reduce costs.
Contribute to infrastructure standards and documentation shared across teams.
Qualifications
Strong experience with Linux administration and scripting languages such as Bash, Python, and TypeScript.
Proven experience operating and building infrastructure on GCP (AWS or Azure experience is a plus).
Solid knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Experience with configuration management / IaC tools such as Terraform, CDK for Terraform, or Pulumi.
Strong understanding of networking, monitoring, and infrastructure reliability practices.
Comfortable working cross-functionally with multiple engineering squads and communicating infrastructure trade-offs clearly.
Strong problem-solving and analytical skills, with a proactive, advisory mindset.
Why You Should Join Yassir :
Join one of the fastest-growing tech companies in North Africa
Have a lasting impact on our company's culture
Make a real impact on the world by helping us bring affordable financial and on-demand services to millions of Africans
Work on some really hard technical challenges from identity infrastructure for Africans, digital payment networks to complex mapping and routing systems across the continent.
We are the first Algerian startup to go through Y Combinator program and we’re backed by top investors including Unpopular Ventures, Rebel Fund and
DainTree.VC
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
We look forward to receiving your application!
Best of luck,
Your Yassir TA Team
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
About the Role
We are seeking a highly skilled Principal Software Engineer to lead the design and development of the Data Fabric platform—a next-generation distributed data infrastructure that enables seamless data integration, processing, governance and security at scale. As a key technical leader, you will architect robust, scalable, and high-performance systems while mentoring engineering teams to deliver cutting-edge data solutions.
WHAT YOU'LL DO AT UIPATH
- Architect, Design and Build: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security.
- Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying.
- Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure.
- Cross-functional Collaboration: Work closely with teams across other locations to innovate and develop best-in-class solutions.
- Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for data workloads.
- Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables.
- Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc.
- Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform.
- Leverage AI tools/Coding agents responsibly to accelerate development (e.g., code generation, testing, debugging, documentation), while maintaining a high engineering quality bar.
WHAT YOU'LL BRING TO THE TEAM
- Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience).
- 12+ years of software engineering experience, with 5+ years in distributed data systems
- Proficiency in one or more system level programming languages (C#, Java etc.) and a willingness to learn new ones
- Strong understanding of object-oriented programming, architectural design patterns, system design and data structures & algorithms.
- Good grasp of multithreading, synchronization, asynchronous, cloud programming.
- Experience working with Cloud ecosystems such as Azure, AWS, GCP.
- Familiar with modern engineering practices, including agile development, CI/CD and DevOps.
- Experience with Docker, Kubernetes or other containerization technologies.
- Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development.
- Proven track record of effectively collaborating with globally distributed teams.
- Ability to understand, communicate, provide feedback on, and drive complex technical decisions.
Nice to have
- Full-stack development experience
- Understanding of LLMs and the AI powered API automation.
- Experience with GraphQL, data mesh architectures.
- Familiarity with observability tools (Prometheus, Grafana)
#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.
Задачи:
— Работать с клиентами JFrog для проектирования, настройки и построения CI/CD пайплайнов и DevOps платформы с использованием продуктов JFrog и современных технологий, таких как Docker, Kubernetes, IaC и Cloud Native
— Сотрудничать с отделами продаж, поддержки, разработки и клиентами для успешного внедрения DevOps с использованием платформы JFrog
— Настраивать, проектировать и строить CI пайплайны с Docker, NPM, Java, Pypi и другими инструментами (Binary Repositories, Distribution to Devices, Continuous Build Tooling)
— Обучать open source сообщество и клиентов JFrog
— Влиять на функции и дорожную карту продуктов JFrog на основе потребностей клиентов
— Следить за последними тенденциями в области DevOps и CI/CD технологий
— Строить прочные отношения с клиентами и сообществом
Требования:
— Опыт работы 7+ лет с инструментами Continuous Integration: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM
— Умение строить пайплайны доставки ПО с Docker, npm, Java, Pypi и различными DevOps инструментами, включая управление бинарными репозиториями и сканирование
— Хорошее понимание инфраструктуры и операций: хранение, сеть, вычисления, безопасность, облака (публичные и on-prem)
— Опыт работы с Continuous Deployment и Delivery инструментами: Chef, Puppet, Ansible, Kubernetes
— Практический опыт работы с Linux (обязательно)
— Практический опыт работы с облачной инфраструктурой AWS, Azure или GCP (обязательно)
— Опыт работы с клиентами, хорошие межличностные и ориентированные на сервис навыки
— Опыт работы с серверным ПО как on-premise, так и в облаке
— Опыт в проектировании архитектуры ПО и разработке продуктов будет плюсом
— Непреклонное желание учиться
— Открытость к open source
Условия:
— Возможность удаленной работы для кандидатов, находящихся вне досягаемости офиса в Атланте
— Базовая зарплата от 130000 до 150000 CAD в год, зависит от навыков, квалификации, опыта и местоположения
— Возможность получения бонусов или комиссионных
— Пакет акций (RSU) и участие в программе покупки акций для сотрудников
— Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и др.
JFrog является работодателем с равными возможностями и рассматривает всех кандидатов без дискриминации по любым признакам.
УдалённоseniorКанада; Open to remote work for candidates outside a reasonable commuting distance to the Atlanta office
Задачи:
— Работать с клиентами JFrog для проектирования, настройки и построения CI/CD пайплайнов и DevOps платформы с использованием продуктов JFrog и современных технологий и практик, таких как Docker, Kubernetes, IaC и Cloud Native
— Сотрудничать с отделами продаж, поддержки клиентов, поддержки и разработки, а также напрямую с разработчиками и DevOps специалистами для обеспечения успешного внедрения DevOps с использованием платформы JFrog
— Настраивать, проектировать и строить CI пайплайны с Docker, NPM, Java, Pypi и др. (управление бинарными репозиториями, дистрибуция на устройства и инструменты непрерывной сборки)
— Обучать open source сообщество и клиентов JFrog
— Влиять на функционал и дорожную карту инструментов JFrog на основе потребностей клиентов
— Следить за последними тенденциями в области DevOps и CI/CD технологий
— Строить прочные отношения с клиентами и сообществом
Требования:
— Опыт 5-7+ лет с инструментами непрерывной интеграции: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM
— Умение строить пайплайны доставки ПО с Docker, npm, Java, Pypi и различными DevOps инструментами, такими как Git, управление бинарными репозиториями, сканирование бинарных файлов и непрерывная интеграция
— Хорошее понимание инфраструктуры и операций: хранение, сеть, вычисления, безопасность, облака (публичные и on-prem)
— Опыт с инструментами непрерывного развертывания и доставки: Chef, Puppet, Ansible, Kubernetes
— Практический опыт работы с Linux (обязательно)
— Практический опыт работы с облачной инфраструктурой AWS, Azure или GCP (обязательно)
— Опыт работы с клиентами, хорошие межличностные и ориентированные на сервис навыки
— Опыт работы с серверным ПО как on-premise, так и в облаке
— Опыт проектирования архитектуры ПО и разработки продуктов будет плюсом
— Непреклонное желание учиться
— Открытость к open source
Условия:
— Возможность удаленной работы для кандидатов, находящихся вне досягаемости офиса в Атланте
— Базовая зарплата от $135,000 до $145,000 в год, зависит от навыков, квалификации, опыта и местоположения
— Возможность получения бонусов или комиссионных
— Пакет акций (RSU) и участие в программе покупки акций для сотрудников
— Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и многое другое
JFrog является работодателем с равными возможностями и рассматривает всех кандидатов без дискриминации по любым признакам.
УдалённоseniorСША; Open to remote work for candidates outside a reasonable commuting distance to the Atlanta office
Задачи:
— Разработка и оптимизация высокопроизводительных backend-систем для data-driven приложений.
— Работа с современными технологиями потоковой обработки, распределёнными фреймворками и облачными архитектурами для создания масштабируемых, надёжных и высокодоступных решений.
Требования:
— Проживание вне России и Беларуси.
— Наличие диплома бакалавра (требуется фото диплома при подаче заявки).
— Опыт разработки на Java и создания API и сервисов.
— Опыт работы со Scala не менее 2 лет.
— Опыт работы с Akka не менее 2 лет, особенно для потоковой обработки данных или распределённых систем.
— Опыт работы с потоковыми/данными фреймворками, такими как Spark Streaming, Flink, Kafka, Kinesis или аналогичными.
— Умение создавать и использовать RESTful API.
— Опыт работы с AWS (serverless, compute, storage, data services) и знакомство с DevOps практиками (используется Azure DevOps).
— Владение английским языком на уровне B2+ (устный и письменный).
Условия:
— Удалённая работа.
— Контракт B2B.
— Минимальный срок контракта 9 месяцев.
— Полный рабочий день, 8 часов в день.
— Ежедневное пересечение рабочего времени 4 часа с 8:00 до 12:00 по Чикаго.
— Отпуск без оплаты.
— Зарплата 5400-6600 USD до вычета налогов в месяц.
Location: San Mateo
Workplace: Hybrid
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs.
Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers.
THE MISSION
Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing.
THE OPPORTUNITY
As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use.
If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role.
WHAT YOU'LL DO
- Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond
- Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments
- Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes
- Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem
- Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you
- Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap
- Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements
WHAT YOU BRING
- 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer
- Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API
- Real experience deploying software into enterprise customer infrastructure
- Strong Python proficiency (required) and AWS proficiency (required)
- A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between
- Experience building post-sales processes or playbooks from scratch
- Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus
- A technical degree (CS or equivalent)
- A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture
- Willingness to travel to customer sites as needed (roughly 15%)
- Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator
Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close.
WHY JOIN?
- Compensation: $230,000–$300,000 base plus extremely competitive equity
- Health benefits: 100% covered health benefits (medical, vision, and dental)
- 401(k): 401(k) plan with a 4% company match
- Time off: Unlimited PTO
- Wellness: Annual $2,000 wellness stipend
- Learning & development: Annual $1,000 learning and development stipend
- In-office perks: Daily lunches and snacks provided in the office
- Relocation: Relocation assistance for employees moving to the Bay Area
- Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships
- Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers
- Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean
- Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person
- Visa support: Open to visa transfers, including OPT and H-1B transfers
INTERVIEWING PROCESS
- Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics
- Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset
- Coding Screen (1 hour) — Live coding in Python with end-to-end debugging
- On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Location: Remote in EMEA
Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available.
About the job
Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit
www.testlio.com
.
We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering.
Why will you love this job?
Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API.
Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing.
Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage.
Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API.
Why will you love being a part of Testlio?
Great Culture:
Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our
inclusive, purpose-driven culture
where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network.
Remote Work:
Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a
fully remote and globally distributed team.
Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace.
Investment in You:
Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development.
Winning Business:
Testlio is growing, profitable, and cash-strong. We are leading our industry with
exceptional clients
who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio.
What would your day look like?
Shaping what's next
Stay close to the code:
Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently.
Public API strategy:
Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path.
Integration architecture:
Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core.
Roadmap ownership:
Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production.
Running it with rigor
Engineering operating rhythm:
Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability.
Technical leadership:
Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions.
Third-party dependency management
: Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages.
Production support and escalations:
Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency.
Reliability and observability:
Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check.
Team growth:
Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation.
What do you need to succeed?
Technical skills
Engineering management:
5+ years managing a team of 4+ engineers in an agile, remote environment.
Hands-on technical leadership:
Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team.
Public or partner-facing API ownership:
Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground.
Third-party integration systems:
Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control.
Technical stack:
Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns.
Nice-to-haves
Identity and access:
Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles.
Broader stack familiarity:
Kafka, GraphQL, Python, and React are a plus.
Observability and performance:
Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions.
Application security:
Knowledge of application security best practices and integrating security review into the SDLC.
Legacy modernization:
Experience modernizing legacy systems or paying down significant technical debt while keeping a product running.
SaaS experience:
Prior experience managing a SaaS product is a plus.
Human skills
Fluency in English, with excellent written and verbal communication.
Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting.
Organized and thorough, with a meticulous approach to standards and process.
Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement.
Results-oriented, with data-driven decision-making.
What is the application process?
We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks.
Application review
Recruiter interview
Hiring Manager Interview
Live Technical Exercise
2 team and stakeholder interviews
Reference checks
Offer
Diversity and inclusion
Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the
DEI section
of our website.
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