Location: Islamabad, Pakistan
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Cairo, Egypt
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Switzerland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams.
A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team.
What You'll Be Doing
Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
Delivering product and technical presentations to potential and existing customers
Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
Driving product conversations based on need and problems with customers
Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material
What Makes you a Great Fit:
5+ years of technical pre-sales experience
Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically.
Must be located in Switzerland
Bonus Points For:
Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage
Experience with sales methodologies like MEDD(P)ICC is a plus
Compensation & Rewards
In Switzerland, the OTE (On-Target Earnings) compensation range for this role is CHF 206,000 - CHF 246,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
• Участи в проектировании и реализации технической архитектуры для задачи повышения уровня доступности системы (HA конфигурации для всех компонентов, паттерны отказоустойчивости, мониторинг и алертинг); • Работа с инцидентами и обращениями пользователей в качестве 3 линии поддержки, дежурства (on-call) 24/7 1 раз в месяц;
УдалённоРоссия; Компания Centicore находится в поисках SRE-инженер
Осуществление мониторинга доступности и производительности информационных ресурсов; Оперативное реагирование на сообщения систем мониторинга и своевременная эскалация, если это необходимо;
Организация процессов тестирования для обеспечения качества и работоспособности функционального объема выпускаемых релизов. Управление командой QA (ручные, автоматизированные и нагрузочные тестировщики), включая распределение ресурсов, онбординг, развитие и аттестацию сотрудников.
Location: Novi Sad, South Bačka, Serbia, EMEA
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
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
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: Novi Sad, South Bačka, Serbia, EMEA
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
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
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.
Проект: Финтех
На данную позицию рассматриваются кандидаты с официальным опытом в качестве тестировщика (по ТК).
Требования:
— Опыт работы от 2-х лет в тестировании.
— Тест-дизайн и документация: разработка тест-кейсов, чек-листов и инструкций; работа в Jira, Confluence, Zephyr.
— Типы тестирования: функциональное, интеграционное, E2E, регрессионное, API (REST), Kafka, тестирование AI/LLM-систем (проверка качества ответов, RAG-пайплайнов, мультиагентных систем, выявление галлюцинаций).
— Автоматизация (Python – основной стек): PyTest, Requests/Httpx, async/await.
— API & брокеры: Postman, Insomnia, SoapUI; опыт тестирования интеграций через Apache Kafka.
— Базы данных: PostgreSQL, MySQL – продвинутые SQL-запросы (JOIN, подзапросы, агрегации).
— CI/CD & DevOps: Jenkins, GitLab CI/CD, Git/GitLab; настройка пайплайнов для запуска тестов.
— AI/ML специфика: понимание принципов работы LLM, RAG, промпт-инжиниринга, эмбеддингов; опыт оценки качества AI (метрики, LLM-as-a-judge).
— Инструменты: Grafana, чтение логов (Kibana/ELK).
— Процессы: анализ требований, баг-репортинг, взаимодействие с разработкой и бизнесом, демонстрации функциональности, локализация багов через чтение кода (Python/Java) и логи.
— Понимание основ математической статистики и метрик машинного обучения.
Условия:
— Официальное трудоустройство; оплата больничного, отпуск 28 календарных дней.
— Возможность карьерного роста.
— Возможность участия в интересном проекте.
— Опыт работы в команде профессионалов.
Location: Москва
Workplace: Гибридный
О компании
CVM B2B - inhouse-инструмент кампейнинга, адаптированный под бизнес-процессы Телеком B2B, для развития процессов маркетинга, продаж и поддержки.
И сейчас мы приглашаем к себе Ведущего (Senior) разработчика Java!
Обязанности
Разрабатывать backend сервисы;
Писать Unit тесты;
Проводить анализ результатов нагрузочного тестирования;
Создавать дашборды для мониторинга разрабатываемых систем;
Участвовать в техническом развитии и масштабировании продукта;
Искать утечки приложения;
Оптимизировать код приложения;
Проводить code-review.
Требования
Умение работать со стеком: Java REST, Kafka, gRPC, GraphQL Spring / SpringBoot Grafana, Kibana, Elastic Search;
Опыт работы с реляционными СУБД: Oracle, PostgreSQL, SQLServer Docker, Kubernetes;
Умение работать с Jenkins, Ansible Git / BitBucket, Nexus, Jira, Confluence;
Владение инструментами тестирования: JUnit, Mockito Jmeter;
Будет плюсом: опыт разработки на Kotlin.
Условия
Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше;
Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации;
Участие во внешних IT-мероприятиях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров;
Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах;
Полезные курсы и вебинары в корпоративном университете и электронную библиотеку;
ДМС с первого месяца работы, включая стоматологию;
Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях;
Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день);
Прием врачей общей практики и массаж в офисе;
Мобильная связь за счет компании и льготные тарифы для близких;
Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.
Location: GE; PL
Workplace: remote
Overview:
SOFTSWISS continues to expand its team and is looking for a Senior Ruby on Rails Developer. We need a skilled, proactive and accomplished professional who shares our culture and values and is ready to contribute to the development of cutting-edge gaming solutions.
About Product:
SOFTSWISS Casino Platform
Full-service modular software platform to manage online casino operations
Learn More
Purpose of the role:
We’re looking for an engineer who treats AI as a force multiplier rather than a shortcut: someone who ships fast with modern tooling, but still owns the architecture, the edge cases and the production behaviour of everything they deliver. If you share our culture and values and want to build high-load gaming solutions used by millions of players, we’d love to talk.
Key responsibilities:
You’ll do design, build and evolve Ruby on Rails services that power our iGaming platform: high-throughput APIs, payment and wallet flows, real-time game integrations and back-office tooling.
Work in an AI-augmented workflow: use coding assistants and agents (Cursor, Claude Code, GitHub Copilot or similar) for scaffolding, refactoring, test generation and code review and take full responsibility for the quality of what gets merged.
Integrate LLM-based features into the product where they create real value: [fraud and risk signals, player-support automation, content generation, internal analytics copilots].
Own performance and reliability: profile hot paths, tune PostgreSQL queries, design caching and background-processing strategies, and drive incidents to root cause.
Review code (human- and AI-written alike), mentor mid-level engineers and help set the team’s standards for how we use AI responsibly and effectively.
Take part in architecture discussions, technical planning and cross-team initiatives.
Required Experience:
4+ years of commercial Ruby on Rails experience; deep understanding of Ruby internals, Rails conventions and where to break them.
Strong SQL and PostgreSQL skills: indexing, query planning, migrations on large tables without downtime.
Solid grasp of distributed-system fundamentals: message queues, idempotency, eventual consistency, background jobs (Sidekiq or similar), caching (Redis).
Hands-on experience with AI coding tools in day-to-day work, and a clear opinion on when they help and when they hurt.
You can spot a plausible-looking hallucinated API in review.
Ability to evaluate and verify AI-generated code: you write and read tests critically, understand what the code actually does, and never merge what you can’t explain.
Experience designing and consuming REST and/or gRPC APIs; familiarity with OpenAPI.
Confident with Git, CI/CD pipelines, Docker; comfortable reading Kubernetes manifests and logs.
Experience with observability tooling (Prometheus/Grafana, Sentry, OpenTelemetry or similar).
Upper-Intermediate or higher English and Russian level.
Nice to have:
Experience integrating LLM APIs (OpenAI, Anthropic, open-weight models) into production Ruby applications – prompt design, structured outputs, evaluation, cost and latency control.
Familiarity with RAG pipelines, vector databases (pgvector, Qdrant) or agent frameworks.
Understanding of security and data-privacy implications of AI features (PII handling, prompt injection, model output validation).
Experience in fintech, payments or iGaming; knowledge of regulatory and responsible-gaming requirements.
Contributions to open-source Ruby projects, talks or technical writing.
Working knowledge of Go, Elixir or TypeScript for cross-service work.
Our stack:
Ruby 3.x, Rails 7/8, PostgreSQL, Redis, Sidekiq, Kafka [/RabbitMQ], Docker, Kubernetes, GitLab CI, Grafana, Sentry.
AI tooling: [Cursor / Claude Code / Copilot] with team-wide guidelines on usage, review and security.
LLM integrations via [provider APIs and self-hosted models]
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: Москва
Компания Сбер Страхование находится в поисках опытного Java-разработчика в команду, которая отвечает за постпродажное обслуживание клиентов в рамках приложения "Сбол".
Нам требуется сильный специалист уровня Senior, готовый к сложным вызовам и амбициозным задачам, за которыми стоит успех всей нашей компании.
Обязанности
* Проектирование и разработка новых модулей и компонентов для наших продуктов;
* Оптимизация производительности существующих сервисов и устранение узких мест;
* Участие в анализе требований, написании технической документации и проведении code review;
* Поддержка и улучшение архитектуры приложения, обеспечение надежности и масштабируемости системы;
* Участие в анализе и разборе дефектов;
* Интеграция с различными сервисами и системами через REST API и event-driven подходы;
* Разработка тестов (unit/integration tests);
* Мониторинг работоспособности приложений и своевременное реагирование на инциденты;
Требования
* Опыт коммерческой разработки на Java от 3-х лет;
* Глубокое понимание принципов ООП, SOLID и паттернов проектирования;
* Отличные знания фреймворков Spring Boot, Spring MVC, Spring Data, Spring Security;
* Уверенное владение ORM-фреймворком Hibernate/JPA;
* Практическое использование баз данных PostgreSQL (опыт написания сложных SQL-запросов);
* Опыт работы с очередью сообщений (Apache Kafka или аналогичными решениями);
* Понимание DevOps-процессов и инструментов CI/CD (GitLab CI/CD);
* Навык деплоймента и управления контейнерами Docker/Kubernetes;
* Опыт работы с системой контроля версий Git;
* Владение инструментами профилирования и мониторинга (Prometheus, Grafana, и др.);
* Понимание облачных технологий;
* Знание контейнеризации и оркестрации микросервисов;
* Работа с NoSQL-решениями (например, Redis, MongoDB);
* Инструментальное владение AI для анализа, генерации и автоматизации.
Условия
* Гибридный формат работы (современный офис в Москве, м. Проспект Мира);
* Льготные ипотечные условия кредитования;
* Подписка Прайм с возможностью совместного использования на трёх близких;
* ДМС с первого дня и скидки на страхование для близких;
* Корпоративная пенсионная программа;
* Детский отдых и подарки за счет Компании;
* Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.
seniorМосква; Компания Сбер Страхование находится в поисках опытного Java-разработчика в команду, которая отвечает за постпродажное обслуживание клиентов в рамках приложения "Сбол"
Задачи:
— Создание программного комплекса для резервного копирования с использованием стека Python и Django;
— Участие в планировании работ и подготовка оценок трудоемкости реализации поставленных задач;
— Разработка и предложение архитектурных и технических решений;
— Проведение ревизии исходного кода;
— Ведение и актуализация технической документации.
Требования:
— Опыт коммерческой разработки на Python от пяти лет (грейд Senior);
— Опыт работы на одном сложном проекте 2-3 года;
— Опыт непосредственного построения архитектуры, понимание подходов к построению архитектуры и практика ее создания;
— Практическое владение асинхронным программированием (asyncio), понимание принципов алгоритмов и объектно-ориентированного подхода;
— Способность писать чистый код, соответствующий стандартам PEP 8, с комплексом тестов (pytest) и документацией;
— Опыт работы с технологиями Python, Django, PostgreSQL, Redis, Celery, Docker, Grafana и Loki;
— Опыт работы с высоконагруженными системами;
— Знание контейнеризации (Docker, Kubernetes) и администрирования ОС Linux.
Дополнительные требования:
— Опыт работы в кросс-функциональной продуктовой команде;
— Знание административной панели Jazzmin;
— Навык оптимизации сложных SQL-запросов.
Условия:
— Полная занятость (fulltime);
— Оформление по ИП;
— Гражданство РФ.
Задачи:
— Разрабатывать и поддерживать CI/CD-конвейеры на Jenkins и GitLab CI.
— Администрировать инфраструктуру на Kubernetes (Helm, Operators, Ingress).
— Управлять конфигурациями и инфраструктурой как кодом с помощью Ansible и Terraform.
— Настраивать мониторинг с использованием Prometheus, Grafana, ELK/Loki, Alertmanager.
— Работать с Docker, Docker Compose, Registry и инструментами сканирования уязвимостей.
— Настраивать и поддерживать Service Mesh Istio.
— Эксплуатировать Keycloak: деплой, масштабирование и HA-кластеризацию.
— Администрировать Linux-серверы и сети.
— Участвовать в разборе инцидентов и оптимизации производительности.
Требования:
— Опыт в DevOps/SRE от 1 года для Middle или от 3 лет для Senior.
— Уверенное знание Linux (systemd, cgroups, namespaces) и сетей.
— Навыки скриптинга на Bash и Python.
— Опыт работы с Docker и Kubernetes.
— Знание Jenkins и принципов CI/CD.
— Английский язык на уровне B2 (Upper-Intermediate) или выше.
УдалённоmiddleГеография найма не уточнена
ГибридseniorAlmaty, Kazakhstan
ГибридseniorCairo, Egypt
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Автоотклики