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 

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

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

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 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 

At JetBrains, code is our passion. Since 2000, we’ve focused on helping developers work faster by automating routine checks and fixes.  Our tools are used by over 12.5 million people worldwide, including eighty-eight Fortune Global 100 companies.

We are seeking a detail-oriented IAM Security Specialist to lead the integration, support, and governance of our identity ecosystem. You will be the bridge between technical implementation and security compliance, ensuring that every identity, whether human or machine, has exactly the permissions it needs and nothing more. Your focus will be on building scalable RBAC models and maintaining a rigorous access review cycle.

Key responsibilities

System integration and support:

• Lead the technical integration of new applications and services into our centralized IAM platform.
• Provide expert support for complex authentication/authorization issues and serve as a technical escalation point.
• Maintain and optimize IAM infrastructure, including SSO (SAML, OAuth 2.0, OIDC), MFA, and PAM solutions.

Access governance and permission reviews:

• Execute and oversee periodic access re-certifications, ensuring compliance across periodic audit cycles (SOC 2).
• Conduct detailed permission reviews for individuals and system integrations to enforce the Principle of Least Privilege (PoLP).

RBAC and ABAC modeling:

• Design, document, and implement Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks across a wide range of systems.
• Partner with cross-functional teams (IT, Product, HR) to define business roles and translate them into technical entitlements.

Required skills and experience

• 3+ years of professional experience focused on Identity and Access Management (IAM) engineering or architecture.
• Proven experience administering enterprise IAM solutions and integrating them with diverse systems (e.g., Okta, Auth0, Ping Identity, Microsoft Entra ID).
• Scripting and automation skills using a scripting language such as Python, Go, Bash, or PowerShell.
• Familiarity with cloud IAM solutions (e.g., AWS IAM, GCP IAM).
• Solid understanding of networking, security protocols, and SSO technologies and standards, including SAML, OAuth 2.0, and OIDC.

Preferred qualifications

• Experience in the software development industry, particularly with managing access to source code repositories (Git/GitHub/GitLab) and CI/CD tools (TeamCity, GitLab CI).
• Hands-on experience with Privileged Access Management (PAM) concepts and tools.
• Knowledge of Zero Trust Architecture (ZTA) principles and how to apply them to developer workflows.
• Security certifications (e.g., CISSP, CISA, relevant vendor certifications).
• Familiarity with compliance frameworks relevant to software vendors (SOC 2).
  
  

Why join JetBrains?

JetBrains provides a highly technical and intellectually stimulating environment. You'll work on identity and access management systems used by millions of developers, with the opportunity to work with cutting-edge technologies every day. Help us keep our tools and systems secure. 
We offer:

• 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.

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

We’re expanding the IntelliJ Ultimate team — the group responsible for delivering world-class development experiences for enterprise Java and Kotlin projects. Our work powers the seamless integration of frameworks and libraries like Spring, Quarkus, and Hibernate, and enables millions of developers to build, debug, run, and deploy complex enterprise applications with confidence and productivity.

We’re now looking for a Senior Software Engineer to take ownership of core functional areas within IntelliJ IDEA Ultimate. The successful candidate will join a team of highly skilled engineers dedicated to evolving the IDE’s capabilities for professional Java and Kotlin development.

In this role, you will:

• Take end-to-end ownership of IntelliJ IDEA Ultimate features and subsystems related to enterprise frameworks, build tools, runtime configurations, and application servers.
• Design and implement advanced tooling for Java, Kotlin, Spring, and related ecosystems.
• Collaborate closely with other senior engineers and tech leads to ensure architectural consistency and technical excellence in all areas of IntelliJ IDEA.
• Drive innovation and usability improvements in large-scale, production-grade developer tools.
• Contribute to maintaining IntelliJ IDEA’s reputation for quality, reliability, performance, and developer delight.

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

• Strong expertise in Java and Kotlin, with a deep understanding of the JVM.
• Solid experience with the Spring ecosystem and/or other popular enterprise frameworks and libraries, including their configuration, deployment, and runtime models.
• A proven track record of working on complex systems, large-scale codebases, or developer tooling.
• The ability to design, maintain, and evolve clean, extensible, and well-architected software.
• A genuine interest in IDE internals, language tooling, and improving the developer experience.
• Excellent communication and collaboration skills — you’ll work with top engineers and multiple IntelliJ IDEA subsystems.

If you join us, you’ll get to:

• Shape the future of enterprise development tooling in one of the world’s most advanced IDEs.
• Work on technologies that directly impact millions of professional developers.
• Collaborate with some of the best engineers in the developer tools industry.
• Enjoy broad technical ownership and opportunities for architectural influence.
• Receive top-tier compensation and benefit from a flexible work environment.

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.

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.

YouTrack is JetBrains’ project management and team collaboration tool available in the cloud or as an on-premises solution. Thousands of teams worldwide rely on YouTrack to collaborate on projects of various sizes. Using YouTrack as both an internal project management tool and a public issue tracker, JetBrains teams set up their processes with the product’s customization features, such as workflows and apps. 

We are seeking an Internal Automation Engineer to design and maintain automations for internal teams, write and develop YouTrack workflows, integrate third-party services, own existing internal code, and help teams set up effective processes. You’ll be the go-to partner for internal stakeholders, translating their goals into robust, scalable solutions in YouTrack. 

For a general understanding of the currently available app-related and workflow APIs, refer to our Development Portal.

In this role, you will:

• Process and triage internal requests from JetBrains teams, from simple configuration requests to complex integrations with third-party tools.
• Design, develop, test, and maintain YouTrack workflows and apps.
• Help teams adopt best practices in YouTrack, setting up projects, fields, workflows, and automations.
• Own and maintain the codebase of existing automation and workflow modules, improving quality, observability, and performance.
• Gather requirements from teams, map their needs into YouTrack’s capabilities, propose architecture, and estimate trade-offs. 
• Regularly collaborate and communicate with the development team.
• Contribute to internal documentation, templates, best practices, and training on how to use YouTrack.

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

• Have solid knowledge of JavaScript and/or TypeScript.
• Have a strong understanding of REST APIs, webhooks, and integration patterns and their usages.
• Have experience with version control systems like Git.
• Possess a high proficiency in spoken and written English.
• Have excellent communication skills, with the ability to explain complex technical topics to non-technical stakeholders.
• Are able to work independently.
• Can switch contexts efficiently and handle multiple requests throughout the day.
• Can prioritize tasks effectively.
• Are curious with a willingness to learn. If your background is in another technical area, or if you’re just starting your career, we can support you in growing into the role.

We’d be especially thrilled if you:

• Have experience with HTML and CSS.
• Have experience with React.
• Have experience with C#, Java, Kotlin, or any other high-level language.
• Are familiar with project management tools.

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

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 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 Business Applications Development team is a vital integrational hub within JetBrains. We are focused on supporting businesses by automating sales flow and license management, as well as by developing other internal and external services. We ensure the completeness, continuity, and high quality of JetBrains’ sales and licensing processes. Our solutions are a family of web applications written mostly in Kotlin.

We are currently looking for a Senior QA Engineer to join the team and support our efforts.

As part of our team, you will: 

• Design, improve, and execute test scenarios for new and existing functionalities.
• Use an exploratory testing approach on a daily basis.
• Investigate, identify, and reproduce complex issues reported by users.
• Participate in discussions about new projects and review feature requirements.
• Communicate closely with your teammates and other teams to find optimal solutions.

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

• Have at least 3 years (preferred) of experience in web applications or SaaS testing (white box).
• Have good knowledge of browser tools such as DevTools, Postman, and various code sniffers.
• Can read and write code in Java/Kotlin.
• Are comfortable writing complex SQL queries to get the data you need.
• Strive to clearly understand the architecture of the applications you test.
• Understand web application security mechanisms.
• Are capable of working with different processes and in varied environments.
• Are open to other points of view and can reasonably defend your own.
• Adhere to the principle that decisions should be based on facts.

We’ll be especially thrilled if you: 

• Have a basic understanding of containerization principles.
• Can easily use *nix command tools like man, grep, find, sed, netstat, and awk

#LI-DNI

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 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 features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

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

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

#LI-MR1

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, 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 Live Debugger, 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 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.
• 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-REMOTE 
#LI-KT1

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

We’re looking for an experienced QA Automation Engineer to join our Dev Environments team and help ensure the quality and reliability of WSL, Docker, Kubernetes, Dev Containers, and other virtualized development environment tooling within the IntelliJ-based product family.

As a QA Automation Engineer, you're not just writing tests – you're:

• Strengthening the team's confidence in product quality: Your automation allows the team to iterate quickly while maintaining stability.
• Partnering with QA Engineers to drive a culture devoted to quality: You advocate for testability and quality throughout the development process.
• Solving challenging problems: Testing developer tools allows you to work in complex technical scenarios and flex your strong investigation skills.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated test scenarios (UI, E2E, and functional) across various operating systems (Linux, Windows, macOS) and environments like Docker and WSL.
• Expand test coverage for new and existing functionality.
• Improve existing automation based on team feedback, reduce test flakiness, and automate routine checks.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Contribute to frameworks and tools with product-specific extensions as needed.

Quality assurance

• Monitor test execution results and investigate failures.
• Participate in release quality assessments.
• Collaborate with QA Engineers and developers on testability and quality improvements:
• Participate in design discussions to reveal risks early.
• Suggest testing approaches.
• Deal with regressions before they reach users.
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed, for example by reporting bugs in YouTrack and verifying that they are fixed.
• Fill the gap between manual testing and automated execution by co-authoring test plans and aligning quality strategy within the team.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• Ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail, even while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English (written and verbal).
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• Ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual 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 

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

The remote development functionality in JetBrains products redirects IDE-heavy processing from a local machine to a powerful remote server, reimagining how developers work. With hardware performance no longer a limitation, developers can work from anywhere while benefiting from improved security, stability, and reliability.

We're looking for a QA Automation Engineer to join the Remote Development team and help ensure that the products software engineers around the world rely on daily are of the highest quality.

You'll work alongside QA Engineers to design and implement automated testing scenarios that catch issues before they reach our users, cover regressions with automated tests, and improve automation processes within the team.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL.
• Expand test coverage for new and existing functionality.
• Monitor automated test execution results.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Improve test automation stability and contribute to automation frameworks.

Quality assurance 

• Report bugs in YouTrack and verify that they are properly fixed and backported. 
• Participate in release quality assessments.
• Collaborate with QA and developers on testability and quality improvements. 
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• The ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English, both written and verbal.
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• The ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual 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 

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 

At JetBrains, code is our passion. Ever since we started, back in 2000, we have 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 and businesses to grow, discover, and create.

IntelliJ IDEA revolutionized the Java development tool market back in 2001, becoming the first IDE to offer automated code refactoring. It continues to drive innovation in software development, making thousands of programmers more productive every day. In addition to Java, IntelliJ IDEA includes various development tools for other prominent languages such as Ruby, Groovy, Scala, Python, JavaScript, Objective-C, PHP, and Kotlin.

We’re currently seeking a full-stack QA Engineer to join a new, challenging project within the IntelliJ IDEA team – the IntelliJ LSP initiative. This role requires adaptability, multitasking, and a hands-on approach to maintain a high quality while supporting rapid product iteration.

As part of our team, you will: 

• Manage project quality: monitor progress, identify risks, and ensure results meet quality standards.
• Collaborate with development and product teams on development tasks.
• Test new and existing functionality.
• Search for and localize bugs.
• Create test documentation.
• Define our testing strategy. 
• Create and maintain automated tests. 
• Set up test infrastructure.
• Accept product releases.

We will be happy to have you on our team if you: 

• Have experience with at least one OOP programming language, preferably Java or Kotlin.
• Have practical experience with at least one build system (such as Gradle or Maven). 
• Have experience in writing automated tests.
• Are familiar with some CI/CD tools.
• Have experience in exploratory testing.
• Have sufficient project management skills.
• Work independently, learn quickly, take initiative, and manage tasks well.
• Have excellent communication skills.
• Are proficient in spoken and written English.

We'd be especially thrilled if you: 

• Have experience working with VSCode.
• Are familiar with IntelliJ IDEA.
• Have experience building automated testing infrastructure and processes.

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 

The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, New York, Singapore, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role

We are seeking a Software Engineer for our office in Yerevan, Armenia, who can help to automate the work done by our Quantitative Researchers. Having robust, scalable code which underpins the performance and reliability of the components is vital to the success of the firm’s research. You will partner closely with Quantitative Researchers to develop a wide range of software. 

Within your time with us you might:
 
•    Automate workflows for researchers; streamlining, productionising, and testing new models implemented by the Quantitative Researchers (mostly Python). 
•    Organise and support production code, checking dependencies, handling missing data, raising timely alerts, and ensuring informative logging etc (mostly Python). 
•    Develop ETL processes to handle a vast range of data.
•    Write unit and integration tests (googletest, pytest, unittest.mock).
•    Contribute to research libraries (mostly C++).
•    Code review (C++ and Python).

We operate with great agility, and the impact of your work will be both visible and large. Please note, however, that the role does not involve implementation of quant algorithms.

Essential Attributes

• At least 3 years of experience as a Software Engineer in a leading firm with Python as a main language.
• A history of high academic achievement, with at least an undergraduate degree (upper second class or better, or international equivalent) from a well-regarded educational establishment in Computer Science or a related technical field.
• Competency in C++.
• Ability to write Python libraries that would be used by quants.
• Understanding of the operational, maintenance, monitoring and support aspects of a business-critical system.
• Ability to proactively identify problems, bottlenecks, ways to improve workflow and software.
• Implementing software workflows / testing and deployment methodologies in an extremely agile environment.
• At least intermediate level of both English and Russian.
  
  
  

Desirable Experience

• Workflow automation systems (airflow, prefect, dagster).
• ETL, ELT processes (pandas, dask, spark, parquet).
• Time-Series DataBases (TimescaleDB, VictoriaMetrics, Prometheus, InfluxDB)
• Systems monitoring tools (Dash, Grafana, Sentry, ELK).
• Scientific python instruments (numpy, pandas, scipy, cython).
• Computational Mathematics.
• Data describing libraries (dataclasses, pydantic)
• Static code analysis tools (ruff, pylint, mypy, pyright, flake8).
• Cloud services (AWS, GCS)
• Performance (CPU, Memory, Filesystem) profiling and optimization.
• CI/CD technologies (Github Actions, Gitlab CI, Jenkins).

Benefits

• Working in a collaborative and friendly culture in a diverse team of outstanding talented people from across all industry backgrounds.
• Wellness allowance.
• Extensive medical benefits for employees and their dependents.
• Personal accident and critical illness insurance.
• Catered meals in the office.
• Weekly corporate massage sessions in the office.
• Relocation support for candidates residing outside of Yerevan, Armenia.
• 25 days holiday per year + statutory holiday and paid sick days.
• We work 4 days per week in the office, 1 (at one's discretion) from home unless stated otherwise.
  
  

Hiring Process

• 4 interviews (phone/video/onsite).
• Coding exercise.
• Professional references check.
• Background check.