The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

As a Technical Support Engineer at Celonis, you are at the forefront of the intersection between enterprise-grade software and generative AI. Celonis enables global enterprises to realize the full value of AI, and we lead by example - integrating advanced AI tooling into our internal ecosystems to redefine the support experience.

We provide technical support across the full Celonis technical stack from infrastructure, front-end services through to automation and AI products. In this role, you won’t just be diagnosing and restoring complex technical issues, you will be an AI SME responsible for architecting the future of technical support. 

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis technical stack & products,
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• AI Workflow Automation and Modeling that will assist with trouble-shooting in reduce MTTR
• AI SME & Strategy - serve as the Subject Matter Expert for AI in Support, taking ownership of training models and providing feedback loops to improve quality.
• Drive Knowledge Centred Service and Continual Service Improvement initiatives leveraging AI tooling with a strong focus on AI driven solution
• Participate in a day-time hours on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Demonstrated prompt engineering skills for optimizing AI outputs.
• Experienced in troubleshooting AI products, including hallucinations, reasoning issues, misbehavior and building AI Automations and Modeling
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

As a Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL models in our datawarehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Execute exploratory analysis to shape future projects and provide action recommendations.
• Present findings to squad team members to guide business and product decisions.
• Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, collaborate in the data models design, granularity, and how they relate to existing models.
• Help design new features alongside product managers and engineers, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• At least 2 years of working experience as an Analyst
• Experienced in writing and understanding complex SQL and working with large data sets
• Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 30.000€ - 40.000€

🏝️ Recharge days

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

As a Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL models in our datawarehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Execute exploratory analysis to shape future projects and provide action recommendations.
• Present findings to squad team members to guide business and product decisions.
• Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, collaborate in the data models design, granularity, and how they relate to existing models.
• Help design new features alongside product managers and engineers, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• At least 2 years of working experience as an Analyst
• Experienced in writing and understanding complex SQL and working with large data sets
• Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 30.000€ - 40.000€

🏝️ Recharge days

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

As a Senior Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

Lead technical data projects autonomously to enhance the company's analytics capabilities through functions such as:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL and abstract data models in our data warehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Define the squad analytics and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations.
• Define KPIs and present findings to squad members and senior management to guide business and product decisions.
• Lead discussions with the engineering team to define and design everything required to satisfy our data needs.
• Help design new features alongside product managers and engineers, giving data insights, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• +3 years of working experience as an Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 38.000€ - 53.000€

🏝️ Recharge days

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

As a Senior Data Scientist, Marketing, you'll be part of an exceptional team of over 30 SQL and data visualization specialists and be focused on a specific problem space ensuring that every decision in Marketing team is data-driven. 

In your day-to-day role, you'll work conducting data analysis aimed at helping decision makers to maximize digital traffic sources’ return, as well as sizing the impact of flows and communications to our different audiences, including CRM campaigns managed through Braze, all of this by working closely with Engineering discipline. We also follow agile methodologies and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, as well as multiple data sources related to digital networks and our customer engagement platform, Braze.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

Lead technical data projects autonomously to enhance Marketing analytics capabilities through functions such as:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL and abstract data models in our data warehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Define analytics and reports using Tableau to communicate results and monitor KPIs regularly.
• Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations.
• Define KPIs and present findings to Marketing team and senior management to guide business and product decisions.
• Lead discussions with the engineering team to define and design everything required to satisfy our data needs, including network integrations.
• Help design and define events with Engineering to be consumed by networks and platforms.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• +3 years of working experience as a Data Scientist or Data Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• Master's degree in Business Analytics, Business Intelligence, or related 
• Master’s degree or certificates on Digital Marketing are a big plus
• At least 2 years on specific digital marketing related experience
• Strong knowledge of digital marketing attribution modeling

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 38K - 53K€

🏝️ Recharge days (10 Fridays Off annually)I

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 A pet room, so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

What we do  

Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders.  

At The Trade Desk, we believe in building the back-end infrastructure of our platform with a focus on quality at scale. This means whether we are building parts of our client-facing applications, internal custom solutions for our own team members, or model pipelines for bidding optimisations, we are making sure that we have infrastructure, development, and tools to do it right and efficiently.  

Our system performs all day, every day serving global traffic. We build a distributed system in a highly collaborative environment, utilising a broad range of technologies. Our back-end developers work on finding solutions to algorithmic, optimization and scale challenges in everything we do.  

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is: 

• Design, build, deliver and own full lifecycle development software from inception to production  
• Demonstrate a firm grasp of the entire software development lifecycle  
• Drive complex changes involving multiple components  
• Deliver quality changes, including automated tests, metrics and monitoring   
• Collaborate with team members to deliver features  
• Guide and review changes to product features in line with product roadmaps   
• Implement and maintain product features  
• Validate changes to ensure high quality product releases  
• Work in a distributed system environment  
• Understand the business objectives behind the code  
• Understand system architecture fundamentals through self-directed learning  
• Lead others through example, mentorship, teaching, and/or participate in hiring activities 

We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity. 

Who you are: 

Our culture is much deeper than just having fun together (though, we do that well too...). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role: 

• You are you comfortable working on an agile, distributed team spanning multiple time zones and continents.  
• You are able to communicate effectively across both technical and non-technical audiences.  
• You have a solid understanding of computer science and engineering fundamentals.  
• You have experiences working with distributed systems.  
• You are proficient in one or more of the following programming languages: C#, Java, C, C++, Python, SQL, or Scala.  
• You have some knowledge of software development code editors: Visual Studio, Visual Studio Code, Rider) and version control systems (Git, Perforce). 
• You have 2+ years of software development, engineering experience  
• You have a Bachelor’s/Master’s level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have. 
• You have additional nice-to-have experience that is not required in the following areas: database engines (Microsoft SQL Server, Postgres, AeroSpike, Vertica, Redis), building micro-services, operating systems and cloud, Kubernetes, Kafka.  

Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.  

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

Our support engineers are highly-trained experts focused on diagnosing and resolving technical and product-related issues across the Celonis Product Suite. You will serve as the crucial interface between our global customers, partners and our internal Value Engineering & Delivery, Development, and Product Management organizations. We’re looking for someone eager to become a deep technical expert in Celonis infrastructure and software and contribute to a SaaS-based, customer value-focused environment.

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis Systems & Products. 
• Serve as a Technical Contact for Premier Customers.
• Take ownership of complex cases - accepting, qualifying, driving, and resolving them according to ITSM processes and KPI adherence.
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• Participate in Root Cause Analysis (RCA) cycles to improve the team's support Knowledge Base.
• Contribute actively to Continual Service Improvement (CSI) cycles and initiatives including Knowledge Centred Service (KCS)
• Prepare and deliver Webcasts on selected technical topics to customers and internal support staff.
• Participate in an on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Certification: ITIL v3 Foundation Certification; additional ITIL certification is a plus.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).
• Problem Solving: Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments.

The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

Our support engineers are highly-trained experts focused on diagnosing and resolving technical and product-related issues across the Celonis Product Suite. You will serve as the crucial interface between our global customers, partners and our internal Value Engineering & Delivery, Development, and Product Management organizations. We’re looking for someone eager to become a deep technical expert in Celonis infrastructure and software and contribute to a SaaS-based, customer value-focused environment.

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis Systems & Products. 
• Serve as a Technical Contact for Premier Customers.
• Take ownership of complex cases - accepting, qualifying, driving, and resolving them according to ITSM processes and KPI adherence.
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• Participate in Root Cause Analysis (RCA) cycles to improve the team's support Knowledge Base.
• Contribute actively to Continual Service Improvement (CSI) cycles and initiatives including Knowledge Centred Service (KCS)
• Prepare and deliver Webcasts on selected technical topics to customers and internal support staff.
• Participate in an on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Certification: ITIL v3 Foundation Certification; additional ITIL certification is a plus.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).
• Problem Solving: Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments.

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.

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