Задачи:
— Доработка, сопровождение и внедрение системы АБС ЦФТ (версии Флагман и более ранние).
— Разработка сложных процедур, функций, пакетов и триггеров на Oracle PL/SQL.
— Оптимизация производительности запросов и работа с Explain Plan.
— Реализация банковских операций (кредиты, депозиты, РКО, ДБО) в разрезе АБС.
— Настройка плана счетов, проводок и операционных дней (Close of Business / Open of Business).
— Участие в ETL-процессах по миграции данных из сторонних систем в ЦФТ.
Требования:
— Глубокие знания Oracle PL/SQL и опыт работы с большими объемами данных.
— Опыт работы с АБС ЦФТ (понимание схемы данных: ACC, DEAL, TRAN, CUST).
— Знание банковских продуктов и жизненного цикла кредитных и депозитных операций.
— Понимание плана счетов бухгалтерского учета и принципов двойной проводки.
Хорошо, если есть:
— Опыт работы с Toad, SQL Developer или PL/SQL Developer.
— Навык отладки ошибок в логах АБС ЦФТ.
— Опыт взаимодействия с бизнес-заказчиками для сбора требований.
— Умение составлять техническую документацию по доработкам.
Условия:
— Полностью удаленный формат работы.
— Полная занятость.
— Работа по модели аутстаффинга с интеграцией в команду заказчика.
Локация: РФ
Оформление: ИП или Самозанятость
Задачи:
-проектировать решения, в том числе разрабатывать детальную внутреннюю архитектуру сервиса, включая интеграционные сценарии
-принимать участие в разработке крупнейшего в России интернет-банка для юридических лиц
-работать в Agile-команде (ежедневные стендапы, 2х-недельные спринты, демонстрация, ретроспектива)
-проводить и проходить Code Review
Технологии / фреймворки:
Java 17, Spring Framework, Spring Boot, PostgreSQL / Oracle, Hibernate, Gradle
Инструменты:
Jenkins, Jira, Bitbucket, Confluence, Podman (Docker), Kubernetes (OpenShift)
Требования:
-опыт от 4х лет разработки высоконагруженных и отказоустойчивых систем
-уверенное знание Java 8+
-уверенные знания Spring Framework, Spring Boot
-умение писать Unit-тесты, знание фреймворков JUnit, Mockito
-опыт разработки REST-сервисов
-опыт работы с реляционными БД PostgreSQL или Oracle (требования ACID)
-опыт работы с Docker
-умение работать в команде: дружелюбность и открытость к взаимодействию
-навыки работы с генеративными AI моделями
-Опыт применения современных LLM-инструментов
Задачи:
— Спроектировать целевую архитектуру новой платформы с нуля: домены, сервисы, интеграции, модель масштабирования.
— Определить границы MVP и заложить архитектурные инварианты для дальнейшего развития.
— Спроектировать контур интеграции с моделями нейросетей (изоляция вычислений, контроль SLA).
— Принимать ключевые решения по стеку и паттернам, проводить код-ревью, формировать инженерную культуру.
— Взаимодействовать с ИБ/DevSecOps, закладывая требования безопасности на этапе проектирования.
— Сформировать команду после завершения архитектурно-аналитической фазы.
Требования:
— 6+ лет коммерческой backend-разработки, из них 2+ года в роли Tech Lead / Solution Architect на HighLoad проектах.
— Отличное знание Java и уверенный опыт проектирования распределенных систем (очереди, кэши, масштабирование).
— Опыт работы с Go (или сильная экспертиза в HighLoad и готовность стать владельцем Go-контура).
— Понимание frontend-архитектуры (взаимодействие с React) и принципов встраивания AI/ML в промышленные ИС.
— Умение проектировать MVP как архитектурно правильное ядро, а не «костыль».
— Опыт работы в проектах с требованиями ИБ и аттестации будет огромным плюсом.
Условия:
— Зарплата: от 400 000 ₽ на руки (выплаты 2 раза в месяц).
— Формат: Офис в Москве (5/2, 09:00-18:00 или 10:00-19:00). После испытательного срока — 1 день удаленки.
— Оформление: строго по ТК РФ.
— Бонусы: IT-аккредитация, выдача техники, подключение к ИИ-сервисам, обучение, возможность карьерного роста.
ОфисseniorМосква
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Задачи:
• Проектировать, разрабатывать и валидировать код;
• Находить совместно с аналитиками и тестировщиками наилучшие решения;
• Совместно с devops инженерами поддерживать стенды разработки в рабочем состоянии;
• Решать интеграционные задачи;
• Писать unit-тесты и проверять собственные решения.
Условия:
• Работа в крупной, международной IT-компании;
• Оформление по ТК/ИП;
• График — 5/2;
• IT аккредитация;
• Техника для комфортной работы;
• Система аттестаций;
• Возможность принять участие в интересном проекте и последующих проектах компании.
Задачи:
- разработка распределенных систем на Java + Spring Boot
- написание Unit-тестов
- работа в scrum команде и нацеленность на результат
- участие в оценке и обсуждении требований
- code review
- поиск и исправление дефектов в своем и чужом коде.
Требования:
- знание Java Core
- знание принципов ООП
- понимание принципов микросервисной и событийной архитектуры
- знание SQL и опыт работы с JPA, Hibernate
- приветствуется опыт работы с Kafka, Maven/Gradle, Jira, Confluence
- готовность самостоятельно разобраться в сложной задаче.
Location: USA - New York
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our New York, NY 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, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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.
New York Pay Range
$196,033
—
$245,041.50 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: Denver, Colorado, 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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Denver, CO 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, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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.
Denver Pay Range
$183,711
—
$229,638.75 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: USA - Austin (dbt)
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Austin, TX 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, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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.
Pay Range
$183,711
—
$229,638.75 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: 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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid 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, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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
$196,033
—
$245,041.50 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.
Требования:
— Коммерческая разработка на Java от 5 лет
— Опыт в аналогичной должности не менее 2 лет
— Отличное владение Java Core
— Практический опыт работы с Spring Framework (с пониманием как работают модули под "катопом")
— Опыт работы с сервером приложений (Apache Tomcat, с понимание как устроен и работает)
— Понимание концепций работы реляционных БД (PostgreSQL)
— Опыт проектирования БД и отличное знание SQL (PostgreSQL)
— Практический навык оптимизации SQL запросов
— Опыт работы с Apache Kafka
— Опыт с Docker и Kubernetes
Задачи:
— Писать программный код на языке Java с использованием лучших практик
— Определять оптимальные подходы и технологии для реализации текущих задач
— Заниматься декомпозицией бизнес требований и постановкой задач участникам команды
— Контролировать сроки и качество их выполнения, кросс-ревью
— Координировать процессы разработки с командой разработчиков
— Проводить техническое ревью постановок от группы анализа и участвовать в оценке трудоемкости
Условия:
— Внутренние семинары, внутренние митапы
— ДМС со стоматологией для сотрудников и скидку на покупку ДМС для ближайших членов семьи
— Технику для комфортной работы
— Гибридный формат работы в комфортабельном офисе
Location: United States Remote; United Kingdom Remote
Workplace: Remote
ABOUT THE TEAM
The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually.
YOUR MISSION
You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences.
Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB.
WHAT YOU'LL DO
- Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure
- Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users
- Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management
- Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation
- Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value
- Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy
- Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems
- Contribute to team growth through hiring, process improvements, and fostering a culture of curiosity, collaboration, and inclusivity
WHAT YOU'LL BRING
- 7+ years of software engineering experience, with strong expertise designing, building, and operating reliable production systems, scalable services and APIs, and well-defined system architectures
- Experience designing and operating distributed systems for complex workflows, including orchestration, asynchronous processing, job execution, retries, event-driven architectures, long-running processes, and failure recovery
- Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration
- Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response
- Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally
- Experience working full stack or collaborating closely on product-facing frontend experiences
- Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems
- Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems
OUR STACK
Azure OpenAI, React, Node, MongoDB
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Americas; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
The role:
We're looking for an Engineering Manager to lead engineering for RC Capital - a zero-to-one team on the ground floor of a brand-new business line. You'll help design, build, ship, and support the infrastructure behind Early Payouts and whatever we build next: underwriting and risk monitoring, money movement and reconciliation, partner bank integrations, and fraud detection.
This role blends the technical depth of our core Engineering Manager bar with direct exposure to financial products — factoring, underwriting, risk, banking integrations — so a background in fintech, financial services, or a related regulated/risk-sensitive domain is essential.
Please note: although we're fully remote, this team is based across US and European time zones, so there's some expectation of overlap in working hours.
ABOUT YOU:
- You have 6+ years of experience as a software engineer.
- You have 3+ years of experience managing software engineering teams.
- You have experience working cross functionally to build prioritized roadmaps for your teams.
- You can balance shipping new features, managing tech debt and investing in system improvements.
- You are hands-on and perform code reviews and bug investigation when needed.
- You are comfortable writing SQL queries to analyze data and find inconsistencies.
- You work with your team to ensure that they are consistently producing value and quality software through shorter iterative development cycles.
- You work with your team to improve the quality of our products, ensuring that they meet product requirements, customer needs, and SLAs.
- You provide technical leadership to the team and can work with engineers to help guide them into important technical decisions.
- You have experience working with engineers at different levels and have coached them in their career development.
- You are customer obsessed, prioritizing their outcomes and experiences
RESPONSIBILITIES:
- Build and lead a highly engaged distributed team by hiring, supporting, coaching the team to deliver consistently and continuously seek ways to make an impact.
- Work cross functionally primarily with product, design and support teams to set direction for the team, anticipate strategic and scaling related challenges through thoughtful long term planning
- Work with your team on the iterative execution of the roadmap and build efficient & transparent processes for consistent and predictable delivery.
- Coach and mentor engineers on the team to further their professional development.
- Work with other engineering managers to continuously improve our organization & create a strong sense of ownership, belonging and inclusivity.
IN THE FIRST MONTH, YOU'LL:
- Get up to speed on our current technical projects
- Meet every contributor on your team and understand what their areas of expertise are
- Meet EMs and PMs from other teams to understand what those teams are doing.
- Work with your team and understand how we do iterative development and the team processes
- Collaborate with your design and product peers to understand current team priorities.
- Schedule 1:1’s with your team to get to know them better
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Have shipped your first big feature and learned about what worked (and what didn't)
- Collaborate with the product and design team and deliver quarterly planning
- Understand how RevenueCat is used by customers and the areas of focus for your team to help build a better customer experience.
- Work with your team to define milestones and deliverables and ensure that the team is shipping iteratively.
- Understand the short and long term goals of your team, and help them with their career planning and progression
- Work with the recruiting team and your peers to hire for the company.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Have established and refined processes to enable shipping fast and reliably
- Understand the team dynamics and be able to predict team capacity around project execution and are now planning ahead for the team
- Champion technical improvements and debt reduction alongside feature development
- Be part of technical discussions and guide the team to come to an optimal solution
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Have built domain knowledge and can easily debug, route and prioritize any incoming triage issues
- Have established clear communication guidelines within the team to enable open and honest communication
- Have helped bring in the right talent to RevenueCat through interviews, sourcing and screening for candidates who are aligned with our company values
- Have built trust with the team through relationship building, mentoring and coaching and providing them opportunities and timely feedback to help them grow
- Have a thorough understanding of how our product works and are able to communicate and guide the team in planning and prioritizing work and finding opportunities
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: APAC; Americas (EST only); EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE:
We are looking for a Senior, proactive Software Engineer to join our Devops/Devex engineering team and help building and scaling the internal development platform. You would be building the tools, services and automations that empower the rest of our engineering team to ship safely and fast.
RevenueCat invests heavily in tooling. We already have custom services for CI/CD, automated one-push-per-commit releases with automatic canaries, Feature Flags, DB query approval workflows, VPN access workflows. We are using Pulumi and python for IaC to describe k8s services and associated infrastructure in a single place. We want to provide autonomy, build a self-serve culture that allows teams to move fast but ensures safety and best practices.
The advent of IA and agentic development is going to change a lot of things, and you will help shape this future fostering adoption while ensuring our security and architectural standards remain sane.
Your job is to take all this to the next level.
ABOUT YOU:
- You are a Builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.
- You are Proactive: You see what is needed, you take action and own problems to turn them into solutions.
- You love building frameworks, abstractions and automation: You see that the best way to ensure best practices are follow is to make something so easy and joyfull to use that nobody wants to use anything else.
- You are AI-Curious: You understand how LLMs and AI coding tools are changing engineering and want to help a world-class team leverage them effectively.
- You move fast, test and iterate quickly.
PREFERRED EXPERIENCE:
- Experience with AWS cloud, k8s, docker, IaC, github.
- Solid knowledge of Python
IN THE FIRST MONTH, YOU'LL:
- Meet your team!
- Get up to speed on our unique infrastructure-as-code patterns.
- Familiarize yourself with our existing internal tools for releases, canaries, and access control.
- Ship your first project—improving an existing tool or automation.
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Be able to scope and work on tasks self-sufficiently.
- Understand most of our internals tools and feel confident making changes to them.
- Start oncall training.
- Participate in code reviews, design reviews, brainstorms.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Design and ship major initiatives and have a positive impact in the engineering team.
- Collaborate closely with other engineers, creating ties, understanding their painpoints and starting to become more involve in the roadmap and prioritization of new initiatives.
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Be the go-to expert for our internal platforms, services and infrastructure abstractions.
- Have your own initiatives for improving DevOps and DevEx
- Lead AI tool adoption across the engineering org, following well-stablished patterns for safety and simplicity.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Задачи:
— Разработка AI-агентов и RAG-решений
— Создание Python-микросервисов
— Проектирование архитектуры
— Код-ревью и участие в развитии продукта
Требования:
— Коммерческий опыт Python от 4 лет
— Опыт с LangChain/LangGraph и внедрением AI-решений
— Опыт работы с микросервисной архитектурой, FastAPI, PostgreSQL, Git, асинхронное программирование
— Опыт код-ревью и работы в Agile
Условия:
— Офис (Москва, Кутузовский проспект, 32к1), полная занятость
— Профессиональный рост: работа в сильной команде и участие в развитии современных AI-продуктов
Задачи:
— Проектировать и разрабатывать интеграционные системы на базе микросервисной архитектуры
— Внедрять новые технологии, инструменты и методы разработки
— Взаимодействовать с командой, поиск и решение проблем
— Участвовать в брейнштормах
Требования:
— Опыт разработки Backend приложений (Python 3.>) от 5 лет
— Уверенное владение базовыми архитектурными паттернами
— Понимание асинхронной парадигмы программирования
— Желание придерживаться культуры разработки и Best practices (SOLID, KISS, DRY, etc.)
— Желание следовать Coding Style Guide, PEP8 и типизации данных
— Практические навыки работы с платформами контейнеризации приложений
— Опыт построения архитектур сложных систем
— Умение оценивать сложность задачи
— Умение декомпозировать задачи
— Опыт работы с инструментами командной разработки: Git, Jira, Confluence
— Опыт работы с Linux (Bash)
— Знание и умение работать с одним из брокеров сообщений (RedHat JBOSS AMQ, ActiveMQ Artemis, IBM WebSphere MQ, Apache Kafka)
— Опыт работы с реляционными базами данных (Oracle, PostgreSQL, MySQL)
Будет плюсом:
— Навык владения любой системой оркестрации контейнеров (Kubernetes, Deckhouse)
— Понимание и опыт работы с DDD/Event driven архитектурой
— Опыт работы с потоковой обработкой данных Apache Kafka Streams
— Опыт работы с Prometheus Grafana, ELK, HashiCorp Vault, Keycloak
— Опыт разработки интеграционных решений
— Понимание асинхронной парадигмы программирования
Условия:
— Современный стек технологий, микросервисная архитектура приложений
— Работа в гибкой методологии разработки
— Возможность работать как в офисе, так и в гибридном формате, и удаленном формате
— Поездки на конференции и тренинги за счет компании, внутренние семинары, внутренние митапы
— Новая техника для комфортной работы
— Сессии профессионального развития 2 раза в год с планом индивидуального развития и обратной связью
— Корпоративная культура со своими ценностями и традициями
Задачи:
— Архитектура, разработка и поддержка надежных решений на Rust для основных продуктов и протоколов.
— Сотрудничество с кросс-функциональными командами (продукт, UX, QA) для интеграции новых функций и улучшений.
— Проведение код-ревью, внедрение лучших практик и поддержание высокого качества кода и документации.
— Оптимизация приложений для максимальной скорости, надежности и масштабируемости.
— Отслеживание новых библиотек и тенденций в индустрии, предложение и внедрение улучшений.
— Обеспечение безопасности и надежности системы, защита пользовательских данных.
Требования:
— Опыт разработки производственных приложений или систем на Rust.
— Уверенные знания системного программирования, работы с низкоуровневыми системами, конкуренции и оптимизации производительности.
— Знания в области управления базами данных, RESTful API и связанных технологий.
— Способность решать сложные задачи, разбивая их на управляемые этапы и создавая масштабируемые решения.
— Хорошие коммуникативные навыки и умение эффективно работать в полностью удаленной команде.
— Владение системами контроля версий, такими как Git.
Плюсы:
— Практические знания криптографии, протоколов и безопасной обработки данных.
— Опыт создания защищенных систем и контроля доступа.
— Знакомство с децентрализованными и peer-to-peer системами.
— Опыт работы с Bitcoin или другими блокчейн-технологиями.
— Опыт работы с децентрализованными или федеративными социальными платформами (Nostr, Mastodon, Bluesky и др.).
Условия:
— Полностью удаленная работа.
— Полная занятость.
— 28 дней отпуска в год.
О компании:
Synonym — компания, создающая первую в мире цифровую свободную рыночную общество с открытыми протоколами и продуктами, направленными на цифровую автономию и открытые технологии. Команда работает удаленно, разрабатывая продукты на основе Bitcoin и peer-to-peer технологий.
УдалённоseniorГеография найма не уточнена
USA - New York
Denver, Colorado, United States, AMER
USA - Austin (dbt)
Oakland, California, United States, AMER
УдалённоUnited States Remote; United Kingdom Remote
