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Lead Machine Learning Engineer

Referrals Only · Lima, Peru

1Y_TWPER SL DATA Lima Posted May 7, 2026

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

Job responsibilities

You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation
You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation
You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization

Job qualifications

Technical Skills

You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
You can design and execute cross-functional requirements based on business priorities
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
You have experience with distributed systems and scalable architectures to handle large-scale ML applications
You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
You enjoy influencing others and always advocate for technical excellence while being open to change when needed
You are a proven leader with a track record of encouraging teammates in their professional development and relationships
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Travel

While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.

Company Policies

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

About Thoughtworks

Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.

Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.

See here our AI policy.

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Software Engineer, Data Infrastructure & Acquisition - Lima, Peru

Speechify · Lima, Peru

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Global Distributed Posted May 5, 2026

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 2025 Design Award winner for Inclusivity.

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

BS/MS/PhD in Computer Science or a related field.
5+ years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
Experience with web crawlers, large-scale data processing workflows is a plus
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.

What we offer

A fast-growing environment where you can help shape the company and product.
An entrepreneurial-minded team that supports risk, intuition, and hustle.
A hands-off management approach so you can focus and do your best work.
An opportunity to make a big impact in a transformative industry.
Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
Opportunity to work on a life-changing product that millions of people use.
Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
Work in one of the fastest-growing sectors of tech, the 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.

Ready to apply?

Apply to Speechify

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Senior Machine Learning Engineer

Referrals Only · Lima, Peru

Apply now

Americas - Data and Artificial Intelligence Lima Posted May 5, 2026

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.

As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

Job responsibilities

You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.

Job qualifications

Technical Skills

An advanced English level is required.
You must have a strong experience with LLM and AI.
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

See here our AI policy.

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EV

Data Engineer

Evoplay Games · Remote

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Worldwide Remote Business Development Remote Limassol Warsaw Posted May 5, 2026

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
Hands-on experience with ClickHouse or other columnar databases
Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
Solid understanding of Data Warehouse architecture
Strong Data QA skills (identifying and resolving data issues)
Experience with Power BI (building and maintaining reports)
Ability to quickly understand business logic and translate it into data models
High attention to detail
English — B2 or higher (working proficiency)

Nice to Have

Experience with data governance implementation
Experience in high-load systems
Experience working with product and business teams

Responsibilities

Own data quality: identify, analyze, and fix data issues
Translate business processes into reliable data structures
Build and optimize ETL pipelines
Deliver clean and structured data for analytics and BI
Handle AdHoc analytical requests under tight deadlines
Maintain and improve Power BI reporting
Automate repetitive tasks
Provide analytical support
Train users on BI tools

What we offer

Corporate psychologist;
Gifts for significant occasions;
Legal support;
Flexible working hours;
Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

Ready to apply?

Apply to Evoplay Games

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Evoplay Games

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Lead Data Engineer

Launch Potato · Lima, Peru (remote)

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Engineering United States (remote) Posted May 4, 2026

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE:

5+ years of experience in data engineering within fast-paced, cloud-native environments
Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
Experience building and managing scalable ETL pipelines and data lake infrastructure
Familiarity with distributed systems, Spark, and data quality best practices
Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Ready to apply?

Apply to Launch Potato

Launch Potato

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Senior Data Engineer

Launch Potato · Lima, Peru (remote)

Apply now

Engineering United States (remote) Posted May 4, 2026

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE:

5+ years of experience in data engineering within fast-paced, cloud-native environments
Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
Experience building and managing scalable ETL pipelines and data lake infrastructure
Familiarity with distributed systems, Spark, and data quality best practices
Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Ready to apply?

Apply to Launch Potato

Launch Potato

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PR

Trading Operations Specialist

primexbt · Remote

Apply now

Worldwide Remote Data and Risk Department Limassol Posted May 4, 2026

Key Responsibilities

Trade & Platform Operations

Monitor trading platforms to ensure uptime and execution quality
Oversee trade flow, execution, and pricing in real time
Identify and escalate execution issues, slippage anomalies, or pricing gaps
Manage trading sessions, market openings/closings, and instrument configurations

Liquidity & Pricing

Monitor liquidity feeds and ensure competitive spreads and depth
Liaise with liquidity providers to resolve pricing or execution issues
Analyze spread widening, latency, and execution quality (markouts, slippage)
Assist in optimizing routing and aggregation settings

Risk & Exposure Monitoring

Monitor client positions, exposure, and overall risk in real time
Support hedging strategies and execution of risk mitigation actions
Identify unusual trading activity or potential abuse (e.g., arbitrage, latency exploitation)

Trade Lifecycle Management

Handle trade adjustments, corrections, and dispute investigations
Ensure accuracy of trade records and reconciliation

Incident Management

Act as first responder for trading-related incidents
Investigate platform issues, outages, or abnormal market behavior
Coordinate with tech teams and external providers to resolve issues quickly

Requirements

Experience & Skills

2+ years experience in trading operations, dealing desk, or brokerage environment
Strong understanding of FX, CFDs, or crypto markets
Familiarity with trading platforms
Python scripting skills — ability to write and maintain automation scripts for monitoring, data extraction, reconciliation, and routine operational tasks.
SQL skills — writing queries (joins, aggregations, window functions) against trading and client databases for investigation, reporting, and anomaly detection.

Soft Skills

Strong attention to detail and ability to work under pressure
Problem-solving mindset with quick decision-making ability
Excellent communication skills

Working Conditions

Shift-based role (aligned with global market hours)
On-call availability for critical incidents may be required

KPIs / Success Metrics

Platform uptime and execution quality
Spread competitiveness and liquidity performance
Incident response time and resolution efficiency
Accuracy of trade handling and reporting

Ready to apply?

Apply to primexbt

PR

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Software Engineer (CLion, Embedded Debugging, and Integrations)

JetBrains · Limassol, Cyprus; Munich, Germany; Prague, Czech Republic

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Tools Cyprus Czech Republic Germany Poland Serbia Spain Posted May 1, 2026

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.

CLion is a cross-platform IDE for C and C++ that supports GCC, Clang, MSVC, GDB, and LLDB.

We are looking for a Software Engineer to join the CLion team and help improve the embedded development experience in the IDE. You’ll work on debugger support, integrations with debug probes and servers, and RTOS-aware debugging features for embedded targets.

This role combines low-level engineering and product work, from interacting with debuggers and embedded tooling to integrating new capabilities into CLion's UI and workflows.

As part of our team, you will:

Develop CLion as a product and take part in discussions about new features.
Improve debugger support for embedded development scenarios.
Build integrations with debug probes, debug servers, and related tooling.
Work on RTOS integration and RTOS-aware debugging features.
Implement features for inspecting threads and tasks, memory, registers, and target states.
Support remote and cross-platform debugging workflows.
Collaborate with QA engineers and users to investigate issues and improve the product.

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

Have 3+ years of commercial development experience in C++, Java, or Kotlin.
Understand how debuggers work and are interested in systems-level development.
Have experience with embedded software development and debugging.
Are familiar with GDB and/or LLDB.
Understand multithreading and low-level application behavior.
Are familiar with Unix, macOS, and Windows.
Understand OOP and know how to design modular, scalable APIs.
Can write automated tests.
Can work both independently and as part of a team.

We'll be especially thrilled if you:

Have experience with RTOSes, embedded targets, and firmware debugging.
Have worked with debug probes and vendor-specific embedded ecosystems.
Have experience with CMake, cross-toolchains, and the GNU Toolchain or Clang.
Have experience using Python.
Have experience with IntelliJ-based plugin development.
Have good written English skills.

How we develop CLion

CLion is based on the IntelliJ Platform, which is also the foundation for other JetBrains products such as IntelliJ IDEA, WebStorm, PhpStorm, RubyMine, and PyCharm.
The source code is stored in Git repositories, some of which are available on GitHub.
Most of the source code is written in Java and Kotlin, while some debugger-related components are in C, C++, and Python.
CLion is a distributed team, and all team members communicate with users, discuss feature requests, take part in troubleshooting, and clarify bug reports.

Benefits:

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-MP1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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Senior AI Engineer (Core Engine)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

Apply now

Embark Armenia Cyprus Czech Republic Germany Poland Serbia Spain Amsterdam Posted May 1, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

JetBrains

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Accounting & Tax Associate

Cabify · Lima

Apply now

Finance Lima Posted Apr 30, 2026

Accounting & Tax Associate

¿Quieres cambiar el mundo?

En Cabify creemos que una nueva forma de movilidad urbana es posible. Un ecosistema que permita tener menos coches privados en las calles, vehículos más sostenibles y rutas más eficientes.

Ciudades en las que sus calles estén pensadas por y para las personas, y no para los coches. Productos y servicios que, mediante alternativas de movilidad sostenibles y eficientes, generen valor económico, social y medioambiental.

Y no solo es que creamos en ello, sino que trabajamos la magia para hacerlo posible. Si compartes con nosotros el mismo propósito, sigue leyendo porque… ¡Este es tu sitio!

Sobre el equipo

Serás parte de un equipo clave que asegura información financiera confiable para la toma de decisiones. Tu rol no solo será ejecutar, sino también optimizar y elevar nuestros procesos.

¿Cómo nos ayudarás a cumplir con nuestra misión?

Registrarás compras, rendiciones y caja chica, asegurando cumplimiento tributario.
Validarás facturas en SUNAT y gestionarás detracciones.
Realizarás conciliaciones contables y bancarias, identificando desviaciones.
Apoyarás en la liquidación de impuestos mensuales.
Gestionarás comprobantes de venta y refacturaciones.
Participarás en la elaboración de reportes financieros para casa matriz.
Documentarás procesos y propondrás mejoras para hacerlos más simples y eficientes.

Buscamos que puedas cuestionar, proponer e implementar mejoras, reduciendo tareas manuales y dando más espacio al análisis.

Lo que estamos buscando:

Afinidad con nuestros principios.
Egresado/a de Contabilidad
+2 años de experiencia en roles similares
Conocimiento de normativa tributaria vigente
Excel intermedio (y Google Sheets), si manejas herramientas como Power BI, Python o SQL, ¡vas un paso adelante!
Inglés intermedio (deseable)
Perfil analítico, organizado y orientado a resultados
Capacidad para priorizar, resolver problemas y trabajar en entornos dinámicos

¿Qué ofrecemos?

Somos un equipo repleto de gente feliz y motivada. Flexibilidad, buen ambiente, crecimiento e impacto ¡asegurados! Cabify viene cargado de beneficios para que los disfrutes en tu viaje junto a nosotros:

🏥 Seguro de salud privado y oncológico cubierto al 100%

💸 Crédito mensual para usar Cabify

👩🏽‍🎓 Licencia Coursera: acceso ilimitado para impulsar tu desarrollo

🤸 Modelo híbrido de trabajo: 2 días de teletrabajo a la semana

🌍 Work from Anywhere: hasta 6 semanas al año para trabajar desde donde quieras

🔋 Recharge Days: 10 viernes libres al año para desconectar y recargar energías

🎉 Eventos y actividades para disfrutar con el equipo

¡Únete a nosotros!

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Senior ML Researcher (Spectrum)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

Apply now

Spectrum Multiple locations Posted Apr 29, 2026

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 ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
Experience applying LLMs to structured knowledge extraction tasks.
Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
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 ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
A background in code analysis, developer tools, or software engineering research.
Experience with knowledge graph embedding methods or graph neural networks.
Experience in early-stage startups – you enjoy the zero-to-one phase.
Actively contributed to relevant open-source projects.

What we offer:

A competitive salary and JetBrains benefits.
A generous runway and corporate resources with startup autonomy.
Full support for publishing ML research and attending industry conferences.
Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains?

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

*Some benefits may vary depending on location.

#LI-DNI

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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AI Lead, Python Tools

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

Python Ecosystem Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain United Kingdom Posted Apr 29, 2026

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 to grow, discover, and create.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
Prototype and ship features yourself – this is a hands-on technical leadership role.
Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
Familiarity with LLM evaluation and benchmarking.
A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
Strong communication skills and the ability to influence technical direction without formal authority.
A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
Experience with the Python AI/ML ecosystem.

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

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Founding ML Engineer (Spectrum)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

Spectrum Armenia Cyprus Czech Republic Germany Poland Serbia Spain United Kingdom Amsterdam Posted Apr 28, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

JetBrains

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Senior AI/ML Engineer (Spectrum)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Warsaw, Poland; Yerevan, Armenia

Apply now

Spectrum Armenia Cyprus Czech Republic Germany Poland Serbia Spain United Kingdom Amsterdam Posted Apr 28, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

JetBrains

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Performance QA Engineer (JCP Core)

JetBrains · Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

Apply now

JCP Core QA Belgrade Berlin Munich Prague Warsaw Limassol Paphos Yerevan Madrid Posted Apr 23, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

JetBrains

View all jobs →

Chief Product Officer

Outfit7 · Limassol, Cyprus

Apply now

TTF Product Outfit7 Limited Posted Apr 16, 2026

We’re looking for a Chief Product Officer (CPO) to lead the next era of Outfit7’s growth. You’ll connect creativity with strategy, transforming ideas into world-class products that delight players and define what’s next in mobile entertainment.

In this role you will

Define and lead the company’s products vision, strategy and goals, ensuring alignment with long-term business objectives.
Oversee all games in Talking Tom and Friends product line, and other company games and entertainment directions, and roadmaps, managing cross-functional collaboration across design, development, marketing, data and operations.
Supervise company-wide priorities, budgets and delivery processes, turning the vision into achievable plans.
Lead and mentor senior managers and key roles, supporting their growth and empowering high-performing teams.
Recognise and initiate strategic opportunities that move the company forward.
Make and stand behind the most difficult decisions, communicating the “why” with clarity and confidence.
Inspire others to share and live the company vision — keeping teams motivated, aligned, and connected.
Anticipate risks and scenarios, lead through uncertainty with calm and clarity.
Ensure that every product we deliver reflects the quality, creativity, and spirit that define Outfit7.

What we’re looking for

Excellent communication and leadership skills, with the ability to inspire at every level of the organisation.
Strong strategic and analytical thinking — you see the whole business, not just the product.
Deep understanding of product development, live operations, growth metrics and market dynamics.
A growth mindset: proactive, adaptable, and focused on long-term success.
Ability to make and own tough decisions — and to bring people with you.
Passion for games, entertainment, and creating experiences that delight millions.
Fluency in English (written & spoken).

Your experience

Proven track record in a C-level or senior product executive role (e.g., CPO, VP of Product, Head of Product) — in the gaming or digital entertainment industry.
Proven gaming industry experience: understanding of hybrid casual and casual games.
Success leading teams through critical phases, reversing negative trends, and/or driving growth or product recovery.

What we offer

Employment relationship with Outfit7 Limited for an indefinite period of time, with a six-month probationary period.
Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
Participation in attractive projects.
Development opportunities through training, seminars, and conferences.
Choice of sport, fitness, educational, and entertainment activities outside of work.
Healthy meals in the office.
Flexible working hours.
24 days of paid vacation.
Participation in a discretionary bonus plan.
Christmas bonus (subject to internal company policies).

Note: With application to selected job position I hereby confirm that I have read and understood Outfit7's Candidate Privacy Policy.

Ready to apply?

Apply to Outfit7

Outfit7

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Growth Product Manager- PlayValley Division

Outfit7 · Limassol, Cyprus; London,UK; Barcelona, Spain

Apply now

New IP Outfit7 Limited Posted Apr 16, 2026

The mission of a new IP division within Outfit7, called PlayValley, is creating new IPs through rapid prototyping and bold experimentation. We are looking for a Growth Product Manager with a passion for gaming and a deep curiosity for data. In this role, you will connect the dots between user acquisition funnels and in-game metrics, turning raw data from casual game prototypes into actionable insights. You’ll evaluate whether a game has real potential, explain why, and guide changes to UA campaigns, audiences, channels, and even in-game features to enhance growth. You will be the bridge between creative prototypes and UA execution, ensuring high-quality traffic reaches games that engage and retain players. This is a role for someone motivated, analytical, and excited to shape the growth of a casual gaming portfolio.

In this role you will

Provide the technical instructions for theUA team. You’ll be the one to spot when a campaign is wasting money on low-quality placements and propose the most viable course of action.
Handle the data side of early market validation tests. You'll set up the tracking, monitor the results, and report back on whether a casual game prototype has the prospect to scale.
Identify Funnel Leaks - in case of a gap between the games, countries, audiences, you are the one who digs into the cohorts. You’ll find out if it's a technical bug, a targeting mismatch, or a game issue.
Be the link between ads and in-game metrics. You’ll build the reporting that proves which specific ad creatives are bringing in players who actually play, which indicators show potential, and why cohorts perform differently.
Push the UA team to move beyond "cheap clicks" and vanity CPIs. You’ll guide them toward building a profitable product and find players who actually fit the casual game mechanics at hand.
Collaborate with Distribution and Product teams to identify opportunities to improve distribution.
Develop robust experimentation frameworks and perform analyses to support profit growth and distribution optimization.
Advise the Marketing team on test design and experimental setups based on data insights.
Analyze results from various experiments and tests.

What we’re looking for

Being able to make decisions based on data and measurable results rather than intuition or opinion.
Having the ability to optimize growth funnels and acquisition strategies for profitability, focusing on finding high-quality, engaged players.
Understanding advertising algorithms deeply and knowing which levers to pull to improve campaign performance and efficiency.
Demonstrating analytical objectivity and the confidence to recommend ending a project or prototype that doesn’t meet market validation benchmarks.
Possessing expertise in casual gaming and knowing performance benchmarks for casual and puzzle titles.
Being able to distinguish between high-volume hyper-casual traffic and high-retention casual audiences and act based on these insights.
Communicating complex findings clearly and effectively to various audiences, including company leadership, using actionable insights.
Structuring complex analyses into coherent frameworks and translating large datasets into practical, data-driven recommendations.

Your experience

3+ years of hands-on experience in mobile gaming analytics or growth, with advanced skills in SQL and querying BigQuery independently.
Highly proficient with analytics and visualization tools such as Firebase, Tableau, Looker Studio, and advertising dashboards like Meta and AppLovin.
Possessing deep, practical experience with MMPs, particularly Singular, and knowing how to map users to in-game milestones.
Having a proven track record in running the data side of soft launches or market validation tests for casual games and helping titles scale from prototype to global launch.
Being familiar with UA execution, including extensive experience in Meta Ads Manager and other advertising tools, and understanding the trade-offs between broad targeting, ROAS optimization, and targeted campaigns.
Having strong auction and market intelligence, including knowledge of CPM and CPI variations across regions and genres, and the ability to adjust testing budgets to determine true retention floors in competitive markets.

What we offer

Employment relationship with a legal entity within Outfit7 group for an indefinite period of time, with a six-month probationary period.
Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
Participation in attractive projects.
Development opportunities through training, seminars, and conferences
Choice of sport, fitness, educational, and entertainment activities outside of work.
Healthy meals in the office
Flexible working hours
24 days of paid vacation
Participation in a discretionary bonus plan.
Christmas bonus (subject to internal policies).
We are open to exploring remote work possibilities, subject to the specifics of the candidate's location and preferences.

Note: With application to selected job position I hereby confirm that I have read and understood Outfit7's Candidate Privacy Policy.

Ready to apply?

Apply to Outfit7

Outfit7

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Security Engineer, Identity and Access Management (IAM)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

Apply now

Security Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain Posted Apr 14, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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Senior MLOps Engineer (ML Workflows Engineering)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

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ML Workflow Engineering Spain Amsterdam Belgrade Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 7, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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QA Specialist (TeamCity QA)

JetBrains · Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

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TeamCity QA Spain Belgrade Berlin Munich Prague Warsaw Limassol Paphos Yerevan Posted Apr 6, 2026

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 to grow, discover, and create. More than 11 million users consistently choose our tools, and 88 Fortune Global Top 100 companies are our valued customers.

TeamCity is a powerful continuous integration and continuous delivery (CI/CD) tool by JetBrains, designed to automate the build, test, and release process, ensuring high-quality software delivery. TeamCity is used by development and DevOps teams.

We’re looking for a proactive and communicative QA specialist with a strong technical background who will ensure our product is of the highest quality. A successful candidate should have experience testing complex and mission-critical software, a wide area of expertise in IT, and a passion for improving TeamCity.

Responsibilities:

Optimizing TeamCity for efficient and reliable deployments.
Exploring and verifying the high availability and scalability of TeamCity.
Exploring and setting up various cloud services in testing infrastructure.
Improving product security by testing existing fixes and new security features, such as 2FA or detecting security anomalies in build processes.
Analyzing and testing fixes for production incidents.
Performing various types of manual testing, such as regression, integration, and exploratory.
Working closely with all members of the team.
Providing technical support to TeamCity customers – duties related to issue tracking based on requests from external users and support for them.
Contributing your own ideas to improve the product.
Staying updated on the latest software development trends and strategies.
Researching and learning new technologies, including setting them up, reading documentation, collaborating with developers, and reproducing existing test cases.
Providing developers with recommendations on how to make the product more user-friendly, including advocating for user interests.

Requirements:

At least three years of experience in QA for complex projects, such as web services and backends.
Strong knowledge of web technologies and HTTP.
Basic knowledge of SQL and scripting.
Ability to work without detailed functional specifications.
Strong communication skills, with the ability to explain complex concepts in simple terms.
Willingness to reproduce complex issues, even when others have given up.
Fluency in written and spoken English.
Passion for continuing a career in QA and willingness to explore and learn various technologies.
Critical thinking and problem-solving skills.
Ability to be a team player and work independently with minimal supervision.
High level of independence, the ability to seek help, and the skill to properly formulate requests.
User-first mindset when it comes to software development.
Knowledge of at least one programming language (Java, Python, C#) at a level sufficient to write simple applications.
Knowledge of one of the cloud platforms at the level of deployment.

Preferable:

Expertise in CI/CD techniques.
Experience in Docker deployment and Kubernetes.

Why join JetBrains?

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

*Some benefits may vary depending on location.

#LI-DNI

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

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Senior ML Engineer (JetBrains Research)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

Applied Research Division Serbia Spain Amsterdam Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 3, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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Staff Research Engineer (LLM Pre-Training)

JetBrains · Amsterdam, Netherlands; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

JCP Core Machine Learning Spain Amsterdam London Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 3, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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Research Engineer (Agentic Models)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

JCP Core Machine Learning Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain United Kingdom Posted Apr 3, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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Senior Machine Learning Engineer (IntelliJ AI)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic

Apply now

AI DevTools Ecosystem Spain Amsterdam Belgrade Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 3, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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Research Engineer (Agentic Behavior – Kotlin AI Value Stream)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

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Kotlin Ecosystem Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain Posted Apr 2, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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Senior Software Engineer (Live Debugger for the JVM)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

Live Debugger Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain United Kingdom Posted Apr 2, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

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QA Engineer (IntelliJ)

JetBrains · Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

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Quality Office Armenia Cyprus Czech Republic Germany Poland Serbia Spain Posted Apr 2, 2026

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

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

JetBrains

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Business Intelligence Analyst

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Limassol, Cyprus; Paphos, Cyprus; Prague, Czech Republic

Apply now

Sales Cyprus Czech Republic Germany Serbia Amsterdam Posted Apr 1, 2026

About JetBrains

At JetBrains, we create tools that developers love. Since 2000, we’ve been building intelligent software that helps professionals write better code, work more efficiently, and focus on what matters most—creating.

Our products support millions of users worldwide, from individual developers to large organizations. Behind them is a global team that values autonomy, thoughtful engineering, and continuous improvement. We believe in making decisions based on data, and we invest in building reliable, accessible analytics to support teams across the company.

About the role

We are looking for an experienced Business Intelligence Analyst to support our Sales organization with reliable data, meaningful insights, and scalable analytics solutions. In this role, you’ll work closely with Sales stakeholders and our Data Office to define metrics, build reporting layers, and ensure high data quality and governance.

Your work will help Sales teams understand performance, identify opportunities, and make informed decisions.

What you’ll do:

Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
Monitor data quality across reporting assets and work with data owners to resolve issues.
Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
Promote self-service analytics by enabling teams to access and interpret data independently.

We would be thrilled if you have:

5+ years of experience in a BI, data analysis, or similar analytical role.
Strong SQL skills and experience with Python, R, or another relevant programming language.
Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
Understanding of data warehousing concepts, relational databases, and data processing workflows.
Experience working with structured datasets and building reliable reporting solutions.
Strong analytical thinking, attention to detail, and curiosity about data.
Ability to communicate clearly with both technical and non-technical stakeholders.
Professional working proficiency in English.

Nice to have

Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
Hands-on experience building ETL pipelines and preparing datasets for analytics.
Experience working with dbt or similar data transformation tools.
Familiarity with data governance and data quality practices.

#LI-DNI

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

Apply to JetBrains

JetBrains

View all jobs →

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