Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
The Powered by Affirm (PBA) team builds the APIs and solutions that power all of Affirm’s integrations with Enterprise Merchants and Partners. We create and manage the APIs and tools that drive checkout and merchant onboarding, and we collaborate with stakeholders to design and build custom end-to-end integrated solutions.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- N
Equity Grade
- 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $153,000 - $213,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
The Powered by Affirm (PBA) team builds the APIs and solutions that power all of Affirm’s integrations with Enterprise Merchants and Partners. We create and manage the APIs and tools that drive checkout and merchant onboarding, and we collaborate with stakeholders to design and build custom end-to-end integrated solutions.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- N
Equity Grade
- 9
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year:
$195,000 - $255,000
USA base pay range (all other U.S. states) per year:
$173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Задачи:
— Полный цикл разработки функций от проектирования и реализации до выпуска в продакшен и последующих улучшений.
— Создание и эксплуатация backend-сервисов с акцентом на масштабируемость, надежность и производительность в микросервисной архитектуре.
— Участие в проектировании систем и архитектуры, внесение технических решений в команду.
— Работа с асинхронными компонентами на основе сообщений с использованием Redis Streams, включая отладку, настройку и обеспечение устойчивой обработки.
— Написание качественного, поддерживаемого кода с соответствующим покрытием тестами; активное участие в код-ревью.
— Эффективное взаимодействие с командой и заинтересованными сторонами для достижения значимых результатов.
— Постоянное обучение, адаптация и поддержание актуальных знаний о лучших практиках и новых технологиях.
Требования:
— Опыт разработки ПО не менее 5 лет, из них 3+ года в backend-разработке на JavaScript/Node.js.
— Подтвержденный опыт создания и поддержки SaaS-приложений и/или backend-сервисов в продакшене.
— Опыт работы с микросервисной архитектурой (границы сервисов, API, паттерны надежности).
— Практический опыт работы с MongoDB и Redis (включая Redis Streams или аналогичные технологии pub/sub/stream).
— Знакомство с Kubernetes и контейнеризированными развертываниями.
— Хорошее понимание основ проектирования систем: API, моделирование данных, производительность, масштабируемость и надежность.
— Быстрое обучение, умение работать самостоятельно и в команде.
— Владение английским языком на уровне, достаточном для письменного и устного общения.
Будет плюсом:
— Опыт работы с Snowflake и аналитическими/данными пайплайнами.
— Опыт работы с AWS и облачными продакшен-средами.
— Опыт работы с реляционными базами данных (PostgreSQL/MySQL) и дополнительными NoSQL-технологиями.
— Опыт работы с инструментами наблюдаемости (логирование, метрики, трассировка) и реагированием на инциденты.
Условия:
— Формат работы: офис или удаленно, полная занятость, гибкий график.
— Зарплата $40-45 в час для удаленных сотрудников.
УдалённоseniorREMOTE GLOBAL (Кроме RU/BY) Проект Brightdata ищет разработчиков Experienced Backend JavaScript Developer (Network Team), возможны как работа в офисе в Израиле или на Кипре, так и удаленно (кроме России и Беларуси) Компания разрабатывает инструменты для сбора данных в открытом доступе The Opportunity We’re looking for exceptional and experienced Backend JavaScript Developers to join our DCA team, with deep expertise in Node.js and building production-grade backend services
Задачи:
— Производить архитектурные предложения и принимать решения по развитию платформы и новым функциям.
— Выполнять полный цикл разработки функций: дизайн, кодирование, тестирование и деплой.
— Сотрудничать с продуктовыми командами для анализа технической осуществимости и информирования продуктовых решений.
— Наставлять младших инженеров через код-ревью, парное программирование и обсуждения дизайна.
— Вносить вклад в операционные руководства и надежность системы через реагирование на инциденты и анализ после них.
— Обеспечивать соблюдение методологий разработки и выявлять улучшения в кодовой базе, инструментах и процессах.
Требования:
— 5-7 лет опыта в разработке ПО, из них около 2 лет на уровне senior.
— Сильное владение JVM-языками (предпочтительно Kotlin, Java или Scala).
— Экспертиза в архитектуре микросервисов, RESTful API и паттернах распределенных систем.
— Опыт работы с GCP или другими крупными облачными провайдерами (AWS, Azure) и контейнеризацией (Docker, Kubernetes).
— Практический опыт с реляционными базами данных (Postgres) и моделированием данных.
— Практический опыт использования AI-инструментов (ChatGPT, Claude, Cursor, Copilot) и prompt engineering для задач разработки.
Будет плюсом:
— Опыт работы с потоковыми данными и технологиями обмена сообщениями, такими как Kafka, Spark или Storm.
Условия:
— Совместная работа в поддерживающей команде профессионалов.
— Возможность построить и развить надежную облачную инфраструктуру с нуля.
— Акцент на техническое лидерство и наставничество.
Location: Bangalore; EU Remote
Workplace: Remote
About the role
Cyberhaven is redefining data security by tracing how sensitive data actually moves across endpoints, cloud, SaaS, and now AI tools and agents. Our AI Security team builds the backend systems that give enterprises real-time visibility and control over how their data flows into and out of LLMs, GenAI applications, and autonomous agents. We're looking for a Staff/Principal Backend Software Engineer to be one of the most senior technical voices on this team: an early contributor with substantial influence over the architecture of a new and rapidly evolving product line, solving multiple exciting technical challenges along the way.
What you'll do
- Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements.
- Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come.
- Architect and implement security features that protect customer data end-to-end.
- Solve real-world scaling problems that require thorough performance analysis and troubleshooting.
- Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd.
- Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools).
- Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.
- Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow.
Who you are
- You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features.
- You have deep, hands-on experience developing large applications in Go.
- You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus.
- You have experience profiling and optimizing distributed code that uses large databases and streaming platforms.
- Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms.
- You have hands-on production experience with microservices and Kubernetes.
- You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US.
- You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity.
- You have a customer-centric mindset and enjoy direct feedback from customers.
- You are based in India or the EU.
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Oakland, California, United States, AMER
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.
Fivetran is seeking an exceptional Principal Software Engineer to lead our AI adoption initiative across the Engineering organization. This unique leadership role combines deep technical expertise with strategic business acumen and change management capabilities. You will be the driving force behind transforming our 500+ engineers into “Bionic Engineers" while implementing Virtual Engineer capabilities to achieve 10% productivity gains in FY26 and 20% in FY27.
As the single point of contact for AI initiatives in Engineering, you will orchestrate an engineering-wide transformation that makes AI-driven productivity a core engineering competency. This role requires someone who can navigate the rapidly evolving AI landscape, drive adoption across diverse teams, and deliver measurable business impact.
This is a full-time position based out of our Oakland 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
Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI
Google Gemini, Anthropic Claude, Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot
What You’ll Do
Adoption Management & Leadership (40%)
Drive Cultural Transformation: Lead the evolution from AI-curious to AI-native engineering practices across all teams
Champion Change Management: Convert skeptics into advocates through data-driven demonstrations of value and hands-on enablement
Measure & Accelerate Adoption: Establish KPIs, track progress from the current 50% to 100% adoption, and implement interventions to accelerate uptake
Build Communities of Practice: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning
Technical Leadership (35%)
Tool Evaluation & Selection: Continuously assess emerging AI tools (Copilot, Claude Code, Codex, etc.) and make data-driven recommendations
Architecture & Integration: Design technical frameworks for integrating AI tools into existing development workflows and CI/CD pipelines
Virtual Engineer Implementation: Lead proof-of-concepts for coding agents in standardized tasks (Lite Connectors via CoIL, code refactoring, test generation)
Security & Compliance: Partner with Security and Legal teams to ensure AI tool usage protects IP and meets compliance requirements
Technical Standards: Establish best practices, guidelines, and guardrails for AI-assisted development
Performance Optimization: Analyze and optimize the technical performance and cost-efficiency of AI tool deployments
Innovation Pipeline: Maintain awareness of cutting-edge AI developments and identify opportunities for competitive advantage
Business Leadership (25%)
Strategic Planning: Develop and execute the three-phase AI adoption roadmap (Explore & Learn → Enable, Train & Adopt → Core Competency)
Budget Management: Oversee $1M+ annual tool budget, optimize spend across 500+ team members, and demonstrate ROI
Stakeholder Management: Build relationships with the CEO, Engineering Leadership, Finance, L&D, Legal, and Security teams
Business Case Development: Quantify productivity gains, cost savings, and strategic value of AI initiatives
Vendor Relations: Negotiate enterprise contracts, manage vendor relationships, and influence product roadmaps
Cross-functional Collaboration: Work with Program Managers, Engineering Managers, and other non-IC roles to extend AI benefits
Competitive Intelligence: Monitor industry trends and ensure Fivetran maintains a leadership position in AI-augmented engineering
Enable Success at Scale: Design and implement adoption playbooks that work across diverse teams with varying technical backgrounds
Remove Barriers: Identify and systematically eliminate technical, cultural, and process obstacles to AI adoption
Communicate Impact: Regularly present adoption metrics, success stories, and ROI to engineering leadership and executives
Skills We’re Looking For
Technical Expertise
10+ years of software engineering experience with proven expertise across multiple programming languages and paradigms
Deep hands-on experience with AI-powered development tools (GitHub Copilot, ChatGPT, Claude, etc.)
Strong understanding of LLMs, prompt engineering, and AI model capabilities/limitations
Experience with CI/CD, DevOps practices, and modern software development workflows
Track record of evaluating and implementing new technologies at scale
Leadership Experience
Proven ability to drive technical initiatives across large engineering organizations (500+ people)
Experience leading without authority and influencing senior technical leaders
Track record of successful change management in engineering contexts
Demonstrated ability to convert technical innovations into business value
Experience presenting to C-level executives and board members
Adoption & Enablement Skills
Experience driving tool adoption across diverse technical teams
Strong communication skills with the ability to create compelling narratives for different audiences
Track record of building training programs and enablement materials
Data-driven approach to measuring and improving adoption metrics
Patience and empathy when working with skeptics and late adopters
Bonus Skills
Experience with Fivetran's tech stack (Java, Python, C, SQL, Bazel, React)
Background in developer productivity, platform engineering, or DevEx roles
Experience with virtual agents/coding assistants in production environments
Knowledge of AI/ML fundamentals and enterprise AI governance
Previous experience in high-growth SaaS companies
#LI-HYBRID #LI-EM1
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
$225,813
—
$282,266 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.
Обязанности:
- Запускать и развивать сервисы, которые основаны на ML-моделях и LLM
- Работать над проектами от идеи до продакшена: анализировать потребности, проектировать архитектуру, разрабатывать и внедрять проекты
- Интегрировать модели в удобные для сотрудников интерфейсы
- Вместе с командой влиять на технические решения и стандарты, внедрять лучшие практики
Требования:
- Опыт работы с Python 3
- Умение работать с FastAPI и базами данных PostgreSQL, контейнерами в Docker и кластерами Kubernetes
- Умение писать тесты на Pytest
- Интерес к миру ML на уровне доменной области
- Самостоятельность и готовность нести ответственность за проект
Задачи:
— Разрабатывать и поддерживать QA пайплайны тестирования для MWS Data Lakehouse: юнит-тесты, интеграции, end2end, производительность, безопасность.
— Проектировать, писать и автоматизировать тест-кейсы.
— Выполнять ручное тестирование новых фич и сложных data-сценариев.
— Проводить нагрузочное и стресс-тестирование (1000+ QPS), работу с конкуренцией в StarRocks и S3-интеграциями.
— Тестировать GitOps-деплойменты и корректность работы Iceberg таблиц.
— Тестировать интеграции: Iceberg REST Catalog — StarRocks S3/Iceberg — Spark/Trino.
— Вести баг-трекинг, писать воспроизводимые баг-репорты с логами, метриками и трассировкой данных.
— Участвовать в планировании спринтов релизного цикла и тестировании тестовых и пре-прод стендов.
Требования:
— Гражданство и локация: РФ, РБ.
— Опыт работы в качестве QA инженера 3+ лет.
— Ключевые навыки и технологии: SQL, Python, Kubernetes (k8s), YAML, Spark, QA frameworks, Apache Iceberg, Allure, S3.
— Опыт в методологиях обеспечения качества, организация процессов предотвращения дефектов и соблюдения стандартов разработки.
— Опыт тестирования API и баз данных, знакомство с регрессионным тестированием и автоматизацией регрессии.
— Внимание к деталям, аналитический склад ума, способность находить аномалии.
Условия:
— Формат работы: удалённо.
— Зарплата: до 190 000 руб.
— Полная занятость.
О компании:
— Более 10 лет в IT, разные виды тестирования и поддержка релизов.
Требования:
— Опыт работы на позиции DevOps от 4х лет;
— Опыт работы с высоконагруженными системами и распределенными архитектурами (например, в банковской сфере, fintech, или финансовых платформах);
— Понимание принципов обеспечения высокой доступности (HA), Disaster Recovery (DR) и работы в рамках SLA/SLO;
— Опыт внедрения CI/CD-пайплайнов, автоматизации деплоя;
— Знание Linux (группы и права доступа, сервисы systemd, анализ производительности);
— Опыт работы с Docker, Kubernetes (администрирование кластеров, сетевые политики, CSI), Helm (управление релизами), Ansible и Terraform (автоматизация развертывания и управление инфраструктурой);
— Опыт работы с Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Jaeger (для трассировки);
— Опыт настройки alerting и анализа метрик;
— Опыт работы с инструментами безопасности (SonarQube, Vault);
— Знание одного из скриптовых языков (Python, Bash, Go);
— Опыт работы с системами управления версиями (Git, GitLab, GitHub, Bitbucket);
— Знание основ построения сетей передачи и хранения данных.
Обязанности:
— Взаимодействие с вендорами и разработчиками внедряемого ПО;
— Сборка тестовых стендов, сборка и ввод в эксплуатацию продуктивной среды совместно с командой проекта и подрядчиком;
— Установка релизов на тестовые стенды и продуктив, автоматизация установки релизных сборок;
— Установка обновлений ОС, устранение уязвимостей информационной безопасности;
— Анализ производительности работы ИС в зоне ответственности команды;
— Внедрение, сопровождение и развитие мониторинга ИС, алёртинга на базе корпоративных Zabbix / Prometheus / Grafana / GMonit;
— Обеспечение доступности платформы цифрового рубля в соответствии с требованиями SLA;
— Устранение сбоев в работоспособности ИС;
— Реагирование на отклонение работы системы от ожидаемого;
— Ведение и актуализация технической документации команды.
Задачи:
— Владеть архитектурой обработки звонков: SIP сигнализация на границе (Kamailio / OpenSIPS), управление медиа и звонками (FreeSWITCH, Asterisk, RTPengine), Python-сервисы, связывающие голос с AI inference pipeline, интеграции с операторами
— Масштабировать платформу до 10,000+ одновременных звонков с жесткими требованиями по задержкам и SLO
— Проектировать высокодоступные и аварийные решения: anycast SIP, активный/активный медиа, географический failover
— Устанавливать инженерные стандарты для телекоманды (тестирование, нагрузочное тестирование, code review, дежурства)
— Наставлять старших и миддл инженеров, повышать технический уровень команды
— Определять наблюдаемость качества голоса и SLO (MOS, jitter, packet loss, latency)
— Руководить стратегией работы с операторами: SIP транки, резервирование, LCR, STIR/SHAKEN
— Сотрудничать с AI и продуктовой командой для соблюдения бюджетов задержек
Требования:
— Опыт разработки 8+ лет, из них 4+ года в телеком/VoIP в продакшене
— Техническое лидерство: документация, наставничество, межкомандные решения
— Глубокий опыт работы с FreeSWITCH и Kamailio или OpenSIPS (кастомные модули, скрипты маршрутизации, масштаб)
— Знание SIP/RTP/SRTP/SDP/ICE, умение отлаживать через pcap и SIP trace
— Опыт эксплуатации голосовой платформы с 1000+ одновременных звонков (понимание отличий при 10k)
— Сильные навыки Python, готовность работать с Lua/Go/C по необходимости
— Опыт интеграции с PSTN/SIP транковыми провайдерами (Twilio, Telnyx и др.), управление DID, LCR
— Практический опыт HA и failover для систем реального времени
— Опыт работы с Kubernetes (GKE/EKS) и Terraform в продакшене
— Владение английским языком на уровне B2-C1, русским на уровне B2
— Локация: любой город, кроме России и Беларуси
Location: Serbia
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.
The Impact You’ll Make
As a DevOps Engineer at Incode, you will play an important role in supporting and improving the cloud infrastructure behind our AI-driven identity verification platform. You’ll work on scalable, cloud-native systems that power secure and seamless identity experiences globally, with a focus on AWS, Kubernetes, and Terraform.
In this role, you’ll help set up new environments, maintain and upgrade existing systems, support infrastructure automation, and help make our platforms more stable, reliable, and ready for further scaling. You’ll work closely with developers and other engineering teams to troubleshoot issues, improve deployment processes, and ensure our applications run smoothly in production.
Your work will directly contribute to the reliability, efficiency, and scalability of Incode’s infrastructure, helping us deliver trusted identity verification solutions to customers around the world.
What You’ll Own & Drive
Cloud-Native Infrastructure
- Help design, implement, and maintain Kubernetes-based environments that support scalability, resilience, and security.
Environment Setup & System Upgrades
- Support the setup of new cloud environments, assist with system upgrades, and help keep infrastructure components up to date and aligned with best practices.
Infrastructure as Code (IaC)
- Work with Terraform to manage and improve infrastructure automation, ensuring consistency and reliability across environments.
Production Reliability
- Investigate, troubleshoot, and resolve infrastructure-related issues in live environments, helping minimize downtime and maintain a smooth customer experience.
Monitoring & Logging
- Support and improve observability solutions using tools such as Prometheus, Loki, ELK, or similar stacks.
Developer Support
- Collaborate closely with development teams, helping them resolve infrastructure, deployment, and environment-related challenges.
Engineering Standards
- Contribute to internal best practices, documentation, automation improvements, and processes that help the DevOps team operate more efficiently.
Continuous Improvement
- Stay curious about AWS, Kubernetes, Terraform, and DevOps practices, bringing ideas that can improve stability, automation, and scalability.
The Qualities That Set You Apart
Cloud-Native Mindset
- You have hands-on experience working with Kubernetes and understand its core concepts, including deployments, services, pods, ingress, and basic troubleshooting.
Infrastructure as Code Enthusiast
- You have practical experience with Terraform and understand how infrastructure automation helps create consistent and repeatable environments.
CI/CD Experience
- You have worked with CI/CD pipelines using tools such as GitLab CI/CD or GitHub Actions and understand how they support reliable software delivery.
AWS Knowledge
- You are familiar with core AWS services such as EC2, VPC, S3, IAM, and related offerings, and are comfortable working in cloud environments.
Systems & Networking Understanding
- You understand networking fundamentals such as TCP/IP, DNS, and HTTP/S, and can apply this knowledge when troubleshooting or supporting infrastructure.
Problem Solver
- You are comfortable investigating issues, asking questions, and working with others to find practical solutions.
Collaborative Communicator
- You can communicate clearly with technical peers and developers, explain issues or solutions, and contribute constructively in a team environment.
Your Background
Experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer, or in a similar role.
Hands-on experience working with Kubernetes-based applications or environments.
Practical experience with Terraform and infrastructure automation.
Experience working with CI/CD pipelines, preferably GitLab CI/CD or GitHub Actions.
Familiarity with AWS services such as EC2, VPC, S3, IAM, and related cloud services.
Understanding of networking protocols and best practices, including TCP/IP, DNS, and HTTP/S.
Experience supporting developers with infrastructure, deployment, or environment-related topics.
Experience helping set up new environments, upgrade systems, or maintain cloud infrastructure.
Strong written and verbal communication skills, with the ability to explain technical topics clearly.
Why Incode?
Mission with Meaning
- Shape how billions of people prove identity - safely, simply, and ethically.
Rocket-Ship Growth
- Join at an inflection point where your strategies will compound in value for years.
Elite Team & Backing
- Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
Ownership & Autonomy
- Operate like a founder with the resources of a unicorn.
Global Impact
- Every program you launch will reverberate across industries and continents.
Ready to ignite the future of trust?
Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.
Aspects of our Culture:
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Continuous Feedback
Promotions & Development
Learn more about
Life at Incode
!
Benefits & Perks:
Flexible Working Hours & Workplace
Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like.
Role Overview
We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day.
The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering.
You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance.
KEY RESPONSIBILITIES
We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas:
Cloud & Network Security
- Evaluate, implement, and maintain cloud security tooling.
- Own infrastructure and container vulnerability management across our cloud environments, and drive remediation.
- Design and implement network segmentation to tighten internal security boundaries.
- Build centralized security monitoring across cloud infrastructure.
Corporate Access Control
- Own access governance and credential management across cloud and internal tooling.
- Partner with Engineering, DevOps, and IT to raise identity and access management standards.
Technical Leadership:
- Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with.
Requirements:
Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway.
- 7+ years in infrastructure security or security engineering, including time at a high- growth startup.
- Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform).
- Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms.
- Solid networking, operating systems, and cryptography fundamentals.
- Strong grasp of container and infrastructure security practices and vulnerability management.
- Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps.
- High agency.
Nice to have
- Experience with sandboxing, container isolation, or secure execution environments for untrusted code.
- Experience with CSPM rollouts.
- Incident response and security monitoring experience.
- Familiarity with SOC 2 or similar frameworks.
WHAT WE OFFER:
- Competitive base salary in USD
- Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth.
- On-site role in our Almaty office (we will relocate you from anywhere).
Location: Ukraine; Poland; Spain; Portugal; Germany; Romania
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a
Staff Architect (Senior Solution Architect)
to join us as part of our team.
About the project:
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.
Features of PitchBook: Advanced search / Discovery & insights /Company profiles / Workflow & efficiency / Many more.
Our Tech Stack & Focus Areas
Java, Spring, React, Typescript, Apache Beam, Flink, LangGraph, GCP/AWS, K8s
Work Environment
Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv.
As a qualified expert, You will:
Translate high-level business initiatives into concrete architectural vision and technical standards, collaborating closely with Product and Engineering to design cost-efficient, scalable solutions that maximize customer value
Devise technology and architecture solutions that propel engineering excellence across the organization, simplify otherwise complex problems, and address the “-ilities” (portability, usability, maintainability, scalability, recoverability, availability, extensibility, and security)
Author AI-ready solution specifications as a part of the design lifecycle, actively participating in AI-enabled workflows and continuously integrating modern tools into the architectural process
Drive system evolution toward well-defined target and transition (interim) states, utilizing robust system diagrams to convey clear, actionable execution paths for engineering teams
Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with senior stakeholders
Drive system innovation by leveraging AI as a core enabler, prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions
Learn constantly, including in available cloud managed services (PaaS/SaaS/IaaS), libraries, frameworks and platforms (commercial and open source)
Propose pragmatic, organized, and balanced technical decisions in areas such as build vs. buy, now vs. later, and refactor vs. rebuild
Provide and oversees high-level estimates for scoping non-trivial feature
Coach engineering teams, grow their level constantly and enable them making high-quality autonomous decision in the software design
We’re looking for you if you have
7+ years of hands-on software development experience with strong core engineering principles
3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure)
Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering - capable of articulating technical vision clearly to any audience while actively listening and synthesizing feedback to refine solutions
A strong, disciplined approach to architectural decision-making, systematically evaluating technical trade-offs, risks, and technology pros/cons to deliver resilient, cost-effective platform solutions
Proven capability to manage stakeholder expectations, build cross-organizational alignment, and articulate technical trade-offs to business and engineering leadership
Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch)
Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes
Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus
Hands-on experience driving AI enablement initiatives and architecting agentic AI systems (e.g., multi-agent frameworks, LLM orchestration) is considered a strong plus
English — Upper Intermediate or higher; Ukrainian — fluent.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview Steps:
Interview with the recruiter
Technical Interview
Manager Interview
HR BP Interview
Final сlient Interview.
Location: Palo Alto, California, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and
RL
experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks,
RL
pipelines, and production engineering.
A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and
RL
recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures.
Your responsibilities
:
Design and run model-training and post-training experiments, including
SFT
, continued pretraining, preference optimization (
DPO
/IPO/
KTO
), and
RL
methods such as
RLHF
/
RLAIF
,
PPO
, and
GRPO
.
Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows.
Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring.
Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements.
Build and maintain distributed training and
RL
infrastructure using frameworks such as Megatron-
LM
, DeepSpeed, PyTorch
FSDP
/DTensor, Ray, verl, slime, AReaL, or OpenRLHF.
Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components.
Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance.
Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk.
Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams.
Must-haves
:
Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system.
Hands-on experience across at least two of: model training, post-training/
RL
, applied modeling, data pipelines, or large-scale ML systems.
Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis.
Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges.
Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing.
Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity.
Strong communication skills and ability to collaborate with researchers, engineers, and leadership.
Nice
-
to
-
have
s
:
Experience with LLM post-training,
RL
, agents, reward modeling, synthetic data, or model evaluation.
Experience with
RL
frameworks or pipelines such as verl, slime, AReaL, OpenRLHF,
TRL
, or custom
PPO
/
GRPO
/
RLHF
systems.
Experience with Megatron-
LM
, DeepSpeed, PyTorch
FSDP
/DTensor, Ray, Slurm, or Kubernetes on large GPU clusters.
Familiarity with
NCCL
,
CUDA
, Triton, Nsight, InfiniBand/
RDMA
, and H100/H200/B200 clusters, or with model serving and inference optimization.
Publications, open-source contributions, or production impact in LLM post-training,
RL
, reasoning, coding models, synthetic data, distributed training, or evaluation.
Experience designing agent environments, tool-use tasks, or verifier-based rewards.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$195,200
—
$262,200 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location:
Austin, TX
Atlanta, GA
Denver, CO
Seattle
Washington DC
Job Title:
Senior Systems Engineer, Cloudflare Tunnel
Role Summary:
As a
Senior Systems Engineer
on the Cloudflare Tunnel team, you will drive the technical vision and architect for future scale, ensuring our product securely connects any machine to the Cloudflare network. You will be responsible for the strategic design of systems across our high-performance global edge network and microservice clusters, providing cross-functional influence to ensure long-term stability and performance. In this leadership role, you will guide capacity planning and the development of next-generation features for Cloudflare Tunnel, Mesh and Zero Trust Network.
You will join a team of bright, hard-working, and supportive engineers who are passionate about their craft, and you will be comfortable operating in a fast-paced but sane work environment.
Role Responsibilities
Lead the architecture and implementation of complex software systems that comprise Cloudflare Tunnel, including the cross-platform, open-source client and high-performance edge services.
Participate in all stages of the software development lifecycle, from designing and documenting systems to writing code, automated tests, and monitoring production deployments.
Strategically influence and collaborate with cross-functional stakeholders, including security, network engineering, SRE, and product management, to design and scale technical solutions.
Review work from your peers throughout all stages of the development lifecycle to ensure high-quality, maintainable code.
Foster a culture of technical excellence through mentorship, proactive code reviews, and establishing engineering standards across the team to ensure high-quality, maintainable code.
Debug issues in complex systems and contribute to the maintenance and improvement of operational health.
Drive the long-term technical roadmap and identify opportunities for system-wide improvements, ensuring our architecture remains resilient as we scale.
Work with a wide range of technologies and programming languages, including Go, Rust, and Typescript, as well as various databases (SQL and No-SQL), Docker, and Kubernetes.
Role Requirements
8+ years of experience in backend software development with a focus on building secure and highly available distributed systems.
Strong programming skills in Go, Rust, C++, or a similar systems-level language.
Knowledge of modern Unix/Linux development and runtime environments.
Grasp of networking protocols in Layers 3-7 of the OSI Model and experience with network programming.
Familiarity with microservices and APIs, including RESTful design.
Basic understanding of software security and encryption principles.
Ability to debug and troubleshoot issues in complex distributed systems.
Experience with monitoring and logging tools like Prometheus and Grafana.
Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
Strong interpersonal and communication skills, demonstrating empathy, teamwork and a sense of ownership.
Compensation
Compensation may be adjusted depending on work location.
For Denver based hires: Estimated annual salary of $168,000 - $231,000.
For Washington and Washington DC based hires: Estimated annual salary of $185,000 - $254,000.
Application Deadline: December 1, 2026
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United States
Workplace: Remote
About the team
The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability.
What will you do?
- Build a cutting-edge cloud-native database platform on top of the public cloud.
- Work on our in-house Kubernetes operator to support seamless infrastructure management.
- Improve the metrics pipeline and build systems to generate better statistics and recommendations.
- Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements.
- Architecting and building a robust, scalable, and highly available distributed infrastructure
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Production experience with programming languages like Go, C++ or Java
- You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2).
- Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools).
- You are passionate about solving data problems at Scale.
- Experience working with distributed systems
- You have excellent communication skills and the ability to work well within and across engineering teams.
#LI-Remote
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: Singapore; Australia
Workplace: Remote
About the team
The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability.
What will you do?
- Build a cutting-edge cloud-native database platform on top of the public cloud.
- Work on our in-house Kubernetes operator to support seamless infrastructure management.
- Improve the metrics pipeline and build systems to generate better statistics and recommendations.
- Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements.
- Architecting and building a robust, scalable, and highly available distributed infrastructure
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Production experience with programming languages like Go, C++ or Java
- You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2).
- Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools).
- You are passionate about solving data problems at Scale.
- Experience working with distributed systems
- You have excellent communication skills and the ability to work well within and across engineering teams.
#LI-Remote
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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Austin, Texas
About the role
Created in January 2025, our centralized Developer Go-to-Market (GTM) organization functions as a "speedboat" to maintain focus, control direction, and iterate quickly. Our mission is to build long-term relationships with developers by addressing their unique needs and challenges with specialized attention and resources.
Our team operates across four core pillars: Marketing, Developer Relations, Growth Programs, and Sales. These functions work in close collaboration to support customers throughout their journey, from raising awareness and inspiring new use cases to driving platform adoption, consumption, and scaling customer relationships. Each function amplifies the impact of the others through strategic partnerships and shared insights.
What you'll do
You'll own the GTM-facing software and data products our sales motion runs on, end to end. That includes the data foundation underneath it and the signals that flag which accounts a rep should act on and when. You'll also lead our hardest cross-functional projects, the ones that span many teams and systems. You'll drive them to delivery, keep partner teams on track, and do it with a lot of autonomy.
Day to day you'll improve how we visualize pipeline, build sales tools that flag the right moment to reach out to a customer, and make the developer buying journey smoother. The work is a mix of data engineering, full-stack product, and applied AI, and you'll build it on Cloudflare's own developer platform.
This role fits someone who works well in a fast-paced, ambiguous environment, likes turning messy business problems into working software, and can juggle several priorities at once.
Responsibilities
Design and implement features in a Golang, Typescript and SQL.
Build and operate production services on Cloudflare Workers and Kubernetes.
Own the data foundation including Query Engine, Workflows, MCP/APIs and other internal facing products and services.
Own projects end to end; from design docs and schema changes through implementation, testing, deployment, and production monitoring.
Participate in on call rotations, drive incident resolution, and write postmortems that improve reliability.
Use AI tools extensively to accelerate development, debugging, and operational tasks. We expect engineers to leverage AI as a core part of their workflow.
Collaborate across teams to coordinate capacity planning, API contracts, and cross cutting initiatives.
Embed with Sales, Marketing, Developer Relations (DevRel), and Growth to turn fuzzy operational pain into shipped software.
Help set the standard for GTM engineering organization wide.
Desirable Skills, Knowledge, and Experience:
At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply.
10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide data initiatives.
Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of TypeScript.
Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption—balancing pragmatic execution with long-term technical excellence.
Deep analytical SQL and data modeling experience. Proven ability to manage complexity even at thousands of tables.
Able to debug database and query performance issues using profiling tools and source code where applicable.
Please be prepared to discuss specific examples of organization-wide technical initiatives you've led, particularly distributed systems or data infrastructure and their measurable business impact.
Nice to have:
Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling GTM organizations.
Columnar/OLAP or lakehouse experience (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg, Starrocks).Familiarity with the Salesforce data model and CRM/API integrations.
Familiarity with deploying to bare metal and Kubernetes.
Experience on Cloudflare Workers / edge platforms and analytics-engineering (dbt) workflows.
Background in SaaS or product-led growth (PLG) GTM motions.
Compensation
Compensation may be adjusted depending on work location.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
УдалённоseniorRemote US
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