Highlights:

Location: Remote (CET hours preferred)

Compensation: $4,400 - $5,600 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

You will join a small team responsible for the stability, performance, and security of our server infrastructure: bare metal, VMs, databases, queues, networking, and infrastructure security. Our philosophy is simple: the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility.

This role is for someone who enjoys working with real infrastructure (OS, hardware/virtualization, networks), not just cloud abstractions.

What You'll Do

• Work primarily with on‑premise infrastructure (bare metal and VMs): setup, maintenance, troubleshooting
• Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps
• Own automation projects end‑to‑end (design → rollout → maintenance)
• Improve how we operate: harden and tune systems and also improve the way the team works in terms of operational hygiene
• Keep the platform stable, fast, and secure: servers, web servers, databases, queues
• Investigate production incidents across OS / networking / infrastructure layers, apply temporary mitigations, coordinate with developers and participate in post‑mortems
• Participate in on‑call rotations
• Use AI in all aspects of day‑to‑day work: researching, troubleshooting, developing

Requirements

• 4+ years as a DevOps Engineer / SRE (or very close responsibilities)
• Real, hands-on experience with servers (VMs, bare metal) at the OS level and below: configuring, troubleshooting, digging into “why it’s broken”
• Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from Linux Crisis Tools
• Solid understanding of networking basics; ability to configure and troubleshoot iptables
• Ansible + Git
• Experience with Bash or Python scripting for automation/observability
• Production/on‑call experience: diagnosing incidents, restoring service, participating in post‑mortems
• Ownership and attention to detail. Downtime is expensive: five years ago, 10 minutes of downtime cost us $100k — today it’s even more

Nice to Have

We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below:

• ClickHouse, MongoDB: what each database is used for, monitoring, troubleshooting performance and slow queries, sharding
• Kafka: operating clusters at scale (topic moves, broker replacements, tuning)
• Redis: high‑load tuning, replication, sharding, performance monitoring
• Elasticsearch: configuration, scaling, sharding/cluster management
• HAProxy / Nginx: load balancing, SSL/TLS, caching, reverse proxying, performance monitoring
• OS tuning: kernel/network stack/filesystem parameters for high‑load systems
• Full Disk Encryption on LVM: We use Clevis + Tang in production
• Infrastructure Security: Teleport, HashiCorp Vault

Bonus points

Great if you’ve worked with any of the following:

• VictoriaMetrics and how it differs from the Prometheus stack
• Complex CI/CD pipelines. We use scripted Jenkins pipelines
• Bare‑metal Kubernetes: provisioning, networking (MetalLB or alternatives), isolation from the internet, scaling across providers (like OVH, Hetzner) and integration with existing infrastructure
• Flux and GitOps
• Terraform

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working.

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

About the Role
You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production.
The role combines Java backend development and Python (primarily PySpark) for large-scale data processing.

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data pipelines for large-scale data processing (primarily with PySpark)
• Collaborate closely with ML engineers to prepare and transform data for ML models
• Work with large datasets to support search relevance and optimization systems
• Improve system performance, scalability, and reliability
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have):

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (required)
• Solid experience with Spark / PySpark or similar data processing frameworks
• Proven experience building data pipelines and working with large datasets
• Strong understanding of backend development, system design, and distributed systems
• Experience with APIs and microservices
• Good knowledge of data structures, algorithms, and performance optimization
• Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team)

Nice-to-have (at least one of the following):

• Experience with search and relevance optimization, including:
  Elasticsearch / Solr (lexical search)
  Semantic search, vector search, or RAG-based systems
  Search relevance tuning
• Experience supporting ML workflows, such as:
  Data preparation or feature engineering
  Recommendation systems or user behavior prediction
• Experience with Databricks (preferred) or similar environments:
  AWS EMR, Hadoop, Spark ecosystem

We offer:

• Freedom to Develop - equal opportunity to learn and grow professionally
• Clear career and professional path, strong performance management system
• Social Benefits Package
• Equipment
• English lessons
• Gym membership
• All the advantages of working in an international IT company
• Flexible vacation time
• Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need.

Learn more about Lineate at our website: www.lineate.com

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.

As part of our team, you will:

• Perform functional, exploratory, and regression testing.
• Design test cases and write specifications.
• Reproduce bugs and verify fixes.
• Communicate with the team, as well as internal and external users.
• Participate in feature discussions and planning.
• Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.

Requirements:

• Experience in testing without functional specifications.
• Knowledge of testing methodologies.
• Understanding of programming concepts sufficient for writing simple applications.
• Experience with Java or Kotlin.
• Commitment to working as a team, sharing your knowledge, and being open to other points of view.

You’ll be great for our team if you:

• Have an interest in machine learning.
• Have experience working with data and know how to make data-informed decisions.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

We’ll be happy to have you on our team if you have:

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

At JetBrains, we build developer tools that help engineers stay focused on solving hard problems instead of fighting routine work.

Within JetBrains AI, we are collaborating with Zed on the Agent Client Protocol (ACP), an open protocol that lets AI coding agents work inside editors and IDEs. ACP is already supported in JetBrains AI Assistant, and the project is jointly governed by JetBrains and Zed. We see ACP as a long-term investment in interoperability, developer choice, and durable AI-powered workflows across the JetBrains ecosystem. (The JetBrains Blog).

ACP evolves in the open. Real-time coordination happens in Zulip, actionable work is tracked in GitHub Issues, longer-form discussion happens in GitHub Discussions, and substantial protocol changes move through the RFD process. We need someone who can help JetBrains shape that work from the product side: define the right developer scenarios, align internal and external stakeholders, and turn ecosystem needs into clear priorities for JetBrains and for the protocol. (Agent Client Protocol).

This is not a generalist product management role. It is also not a pure protocol engineering role. It sits between developer-experience product work and protocol evolution.

This role is often a strong fit for someone who has spent several years as a software engineer – ideally on APIs, SDKs, web/backend systems, libraries, frameworks, or platform integrations – and then moved into product management or a hybrid product or engineering role.

This will be an exciting opportunity if you:

• Want to shape an open interoperability layer for AI-native software development.
• Enjoy turning messy cross-team technical discussions into clear product direction.
• Like working with engineers, agent developers, and external partners to make complex systems usable and durable.

In this role, you will:

• Identify and prioritize the developer scenarios JetBrains should support through ACP in JetBrains IDEs.
• Study how those scenarios are already handled in CLIs and agents, and define coherent IDE-native flows that JetBrains should support.
• Work on examples such as plan mode, sub-agent workflows, or agent-to-agent communication, and turn them into clear scenario definitions and product requirements.
• Talk to JetBrains product and engineering teams, external agent developers, and partners to collect requirements, constraints, and compatibility concerns.
• Turn those inputs into crisp problem statements, GitHub Issues, success criteria, and roadmap priorities.
• Partner closely with protocol engineers and ACP maintainers to translate validated scenarios into protocol proposals, implementation requirements, and delivery plans.
• Represent JetBrains in regular protocol conversations with Zed and the broader ACP community, helping drive alignment on what belongs in the protocol, what should remain implementation-specific, and what should wait.
• Balance immediate JetBrains product needs against long-term protocol design concerns such as extensibility, backward compatibility, clarity, and ecosystem fit.
• Define and monitor the right telemetry and product metrics for ACP-related surfaces, including agent installation success, authentication success, protocol feature adoption, task completion, reliability, and developer satisfaction.
• Help JetBrains make long-term, product-quality decisions about supporting ACP across multiple IDE experiences.
• Communicate decisions, trade-offs, and priorities clearly to highly technical stakeholders inside and outside JetBrains.

We’ll be happy to have you on our team if you:

• Have 1-4 years of product management experience, or equivalent end-to-end ownership in a hybrid engineering/product role.
• Have a substantial software engineering background and hands-on production coding experience in real systems.
• Understand how modern web and integration primitives work in practice, including OAuth, WebSockets, HTTP, JSON-RPC, and service-to-service communication.
• Are comfortable reasoning about APIs, protocols, payload schemas, event-driven systems, authentication flows, local/remote execution, and backward compatibility.
• Can discuss technical details credibly with engineers and agent developers, even when the conversation goes deep into protocol behavior, edge cases, or extensibility.
• Can take raw technical feedback and turn it into clear user scenarios, requirements, issue tickets, and written decisions.
• Have strong product judgment and can distinguish between a JetBrains-specific UX choice and a protocol-level capability that should be standardized.
• Have a data-driven mindset and know how to combine telemetry, qualitative feedback, and ecosystem signals in product decisions.
• Have strong spoken and written English.

We’d be especially thrilled if you:

• Previously worked as a senior software engineer, staff engineer, library/framework maintainer, SDK owner, or platform/integration engineer before moving closer to product work.
• Have experience with developer tools, IDEs, AI coding agents, CLI workflows, or interoperability layers such as LSP, MCP, or ACP.
• Have contributed to open-source projects or standards-like processes.
• Are comfortable working in public GitHub workflows with Issues, Discussions, pull requests, and proposal documents.
• Have built or supported products where compatibility, extensibility, and future-proofing mattered.
• Use JetBrains IDEs regularly.

#LI-KL1 

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base.

Outcomes 

• Design, develop, and deploy backend services and APIs that solve real-world customer challenges
• Optimize application performance, scalability, and security
• Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services
• Troubleshoot and resolve production issues efficiently
• Actively participate in code reviews, knowledge sharing, and continuous learning

Requirements 

• 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C#
• 2+ years of experience in product companies (SaaS)

• Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code
• Experience with writing and maintaining Unit tests and E2E tests
• Advanced experience with MongoDB
• Upper-intermediate or higher English proficiency (written and spoken)
• Strong problem-solving skills and a growth mindset
• Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination
• Openness to constructive feedback and value the ideas and opinions of others

Our technologies

• Backend: .NET Core (C#), Python
• Frontend: Vue.js 2/3, Nuxt 3, Typescript
• Databases: MongoDB, PostgreSQL, Elasticsearch
• Messaging Queue: Kafka
• Cloud Provider: Amazon AWS
• Monitoring & Logging: ELK (EFK), Prometheus, Grafana

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

With hundreds of thousands of users around the world, IntelliJ IDEA is the best development environment for Java and other programming languages. We have created several other IDEs and additional products for working with code, such as Qodana, based on the IntelliJ Platform.

We want to develop our platform, make it more flexible, and adapt it to various tasks and scenarios. Recently, we’ve implemented several major changes relating to our in-IDE licensing subsystem. These include new free license options and the release of AI Assistant and Junie. Now, we need to reimagine and modernize our licensing subsystem entirely.

Requirements: 

• Experience working on Java or Kotlin projects.
• The ability to solve complex technical problems in real products with a wide range of customers.
• Knowledge of algorithms and data structures.
• English language proficiency sufficient for correspondence, including with end users.

Our ideal candidate would have: 

• Experience working with profilers.
• Experience creating and designing APIs.
• Experience writing plugins for IntelliJ IDEA.
• Knowledge of how code analysis tools work.
• Knowledge and experience using other programming languages besides Java and Kotlin.

How we work:

• We store our source code in Git, with some of the code stored publicly on GitHub. (https://github.com/JetBrains/intellij-community).
• Most of our source code is written in Java and Kotlin. However, there are also small pieces that are written in Rust, C, and C++.
• To organize our team’s work, we use JetBrains tools, including Space for code reviews, TeamCity for automated testing and product builds, and YouTrack for bug tracking.

#LI-DNI

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will: 

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

We’ll be happy to have you on our team if you: 

• Have experience designing machine learning systems from scratch.
• Have a background in natural language processing or code modeling.
• Have a proven track record of delivering machine learning projects.
• Know how to design reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Are proficient in Python, Java, or Kotlin.
• Have hands-on experience with modern ML frameworks.

It would be nice if you: 

• Have experience applying machine learning to programming languages.
• Have hands-on experience building and improving AI agents.
• Have experience in A/B testing and general knowledge of statistics
• Have worked with large-scale data processing pipelines

#LI-KP1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

We’ll be happy to have you on our team if you have: 

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

• Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
• Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
• Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
• Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
• Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
• Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
• Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features. 

We’ll be happy to bring you on board if you have:

• Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
• Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
• Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
• At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
• Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
• Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
• AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
• Inference optimization and serving optimized models in production.

#LI-KP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.

The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.

As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.

As part of our team, you will:

Build tools for agentic error analysis

• Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
• Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.

Build evaluation pipelines

• Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
• Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
• Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.

Research methods for improving agent and model behavior on Kotlin

• Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
• Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
• Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
• Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.

Build public Kotlin benchmarks

• Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
• Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
• Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
• Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.

We'll be happy to have you on board if you have:

• Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
• Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
• Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
• The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
• A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
• Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).

Our ideal candidate would also have experience with:

• Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
• Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
• AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
• Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
• Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
• The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
• Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.

Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI