✅ Requirements:

• 4+ years of experience in software testing.
• Mandatory experience in backend testing and a deep understanding of client-server architecture.
• Strong experience in API testing (REST, JSON) using tools like Postman, Swagger, or similar.
• Solid SQL knowledge (ability to write complex queries, joins, and work with databases directly).
• Experience in defining the scope of testing, maintaining test documentation (Test Plans, Test Cases, Checklists).
• Experience in contributing to and evolving existing test strategies, as well as implementing process improvements.
• Advanced analytical troubleshooting skills, attention to detail, and a scientific approach to problem-solving (e.g., reading logs, analyzing network traffic).
• Proficiency with JIRA and Confluence.
• Strong verbal and written communication skills to effectively collaborate with developers, architects, and product managers.
• Intermediate+ / Upper-Intermediate level of English (both verbal and written).

✅ Will be a plus:

• Experience in test automation (TypeScript) and a willingness to contribute to automated testing processes.
• Experience in Mobile testing (iOS/Android).
• Familiarity with CI/CD pipelines and tools.
• Experience with Allure TestOps as TMS.

✅ Duties and opportunities:

• Perform end-to-end manual testing of the core platform features, APIs, and integrations.
• Collaborate with the team to evolve and implement changes to the overall platform test strategy.
• Investigate and localize issues, working closely with devtools,  logs and databases.
• Manage defects in the bug-tracking system and oversee them through the entire lifecycle.
• Support release process.
• Actively collaborate with cross-functional teams (Development, DevOps, Product) to identify risks and improve product quality at early stages.
• Mentor junior/middle QA engineers and contribute to QA process improvements within the platform team.

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

Summary

This role combines strong hands-on development expertise with architectural leadership to deliver scalable, high-performing Qlik Sense reports.

As a Senior Qlik developer, you will design and develop Qlik Sense applications to support various business product lines. You will work closely with analysts and business stakeholders to translate requirements into effective analytics solutions. This part of the role is primarily hands-on development, with opportunities to mentor junior developers.

As Qlik Architect, you will be responsible for designing, developing, and governing a multi-node and distributed Qlik platform.

Responsibilities

• Advanced expertise in developing Qlik Sense reports (Data Model & Dashboard)
• Strong & proven experience with big volumes of data
• Proven experience in performance optimization, scalability design, and application tuning
• Hands-on experience with Qlik Sense extensions, JavaScript, SAP connectors, and Qlik APIs
• Good Understanding of general data warehousing and BI principles (Specifically Data modelling and SQL developments)
• Experience designing and supporting multi-node and distributed environments
• Deep knowledge of Qlik platform architecture, including server configuration, security, and user/document management
• Good Understanding of enterprise infrastructure and security concepts, including:
  • Windows Server environments
  • Active Directory
  • Proxy servers
  • Single Sign-On (SSO)
  • System monitoring and operational best practices
• Practical experience with Qalyptus is a plus
• Experience with Version Manager or WIP is a plus
• Experience in other reporting tools is a plus
• Working knowledge of AWS cloud services is a plus

Requirements

• Minimum 6+ years of previous experience working as a Qlik Sense Architect/Developer
• Passionate about IT and able to think out of the box
• Proactive mindset with strong ownership and accountability
• Strong analytical mindset with attention to detail
• Ability to troubleshoot complex data and performance issues
• Strong communication skills with the ability to interact with technical and non-technical stakeholders (English is mandatory, French or Dutch is a plus)
• Strong understanding of BI best practices and data visualization principles
• Ability to design intuitive and user-friendly dashboards
• Ability to manage multiple priorities
• Experience with an agile way of working is a plus
• Experience in telecom is a plus

We are offering

• Good compensation - Competitive € salary plus benefits package.
• Development opportunities.
• Challenging but also a friendly working environment.
• And much, much more...

About BICS

BICS is connecting the world by creating reliable and secure mobile experiences anytime, anywhere. We are a leading international communications enabler, one of the key global voice carriers and the leading provider of mobile data services worldwide.

Our solutions are essential for supporting the modern lifestyle of today’s device-hungry consumer – from global mobile connectivity, seamless roaming experiences, fraud prevention and authentication, to global messaging and the Internet of Things.

Headquarters in Brussels with a strong presence in Africa, Americas, Asia, Europe and Middle East. We have regional offices in Madrid, Dubai, and Singapore, a satellite office in Beijing and local representation in Bern, New Jersey, Miami, Montevideo, and Toronto.

Pioneering into the future of Next Generation communications. We have achieved a series of World’s Firsts successes with the launch of the first LTE Roaming relation or the first VoLTE International call between Europe and Asia, to name a few.

With a diverse and multicultural team of about 600 employees, we continuously strive to provide customers with the highest level of quality, reliability, and interoperability, enabling them to maximize their end-user value.

About Proximus Global

Proximus Global, combining the strengths of Telesign, BICS, and Route Mobile, is transforming the future of communications and digital identity. Together, our solutions fuel innovation across the world’s largest companies and emerging brands. Our unrivalled global reach empowers businesses to create engaging experiences with built-in fraud protection across the entire customer lifecycle.

Our comprehensive suite of solutions – from our super network for voice, messaging, and data, to 5G and IoT; and from verification and intelligence to CPaaS for personalised omnichannel engagement – enables businesses and communities to thrive. Reaching over 5 billion subscribers, securing more than 180 billion transactions annually, and connecting 1,000+ destinations, we honour our commitment to connect, protect and engage everyone, everywhere.