Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

At BrainRocket, we manage a high-growth ecosystem of 6,000+ employees across 5+ countries and we are seeking a strategic HR Data Analyst to lead our infrastructure migration to HiBob, standardize our global people metrics, and transform raw data into a strategic asset for leadership and Total Rewards.

Key Missions

• Lead the technical transition from BambooHR to HiBob. You will own the data mapping, historical data migration, and the establishment of a "Single Source of Truth" to ensure 100% data integrity.
• Partner with leadership to execute high-accuracy headcount modeling and payroll budget forecasting. Shift the department from reactive reporting to predictive analytics (e.g., turnover predictors and hiring ROI).
• Eliminate manual reporting bottlenecks. Utilize Python and SQL to automate recurring data pulls, complex calculations, and stakeholder dashboards.
• Design and maintain intuitive, self-service BI dashboards (Tableau/Power BI) to empower stakeholders with real-time, actionable insights.

Your Toolkit

• 3+ years in data analytics, handling large-scale datasets. 
• Deep understanding of HR-specific KPIs (Turnover, eNPS, C&B, Retention).
• Advanced SQL, Python (Pandas, NumPy), and Excel for complex financial modeling, payroll simulations, and automation; expert at architecting data models and dashboards in Tableau or Power BI.
• Ability to translate technical datasets into strategic advice for the Head of Total Rewards and stakeholders.

Our Offer

• Impact a global tech environment during a critical digital transformation phase.
• Full support including flight tickets, visa processing, and 2 weeks of accommodation.
• Competitive salary with annual reviews
• Medical insurance.
• 23 days of annual leave + 6 paid sick days.
• Continuous learning opportunities and a data-driven environment where your insights directly drive change.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone. During this internship, you will bridge the gap between academic theory and industry practice  

This role is on-site, full time, based in Belgrade, Serbia.

Who You Are

• You are in your final year of undergraduate study, a recent graduate, or currently pursuing a master's degree in Computer Science or Electronics Engineering. 
• You enjoy tackling complex technical problems and naturally approach them with structured, analytical thinking. 
• You have written hardware in Verilog or VHDL and understand how HDL translates to physical logic. 
• You are genuinely curious about how processors and computer architectures work, not just in theory but at the implementation level. 
• You are comfortable working in C/C++ and can get things done with scripting languages such as Python, Perl, or Tcl. 
• Nice to have: experience in advanced digital hardware and system architecture (e.g., high‑frequency logic, processors/GPUs, SoCs and memory systems, real‑time hardware/firmware) and modern machine learning, including deep learning frameworks and models.

What We Need

• Architecture exploration and modeling.
• Implementation of Tenstorrent IP and SOC RTL logic in Verilog.
• Verification of Tenstorrent's IP and SOC logic using advanced verification methodologies.
• Low-level software development for hardware testing.

What You Will Learn

• Exposure to the complete RTL-to-GDSII flow. 
• Front-End Design & Logic Synthesis: Mastering Verilog/SystemVerilog to translate architectural specs into optimized hardware descriptions.
• Verification Methodologies: Developing robust testbenches and utilizing UVM (Universal Verification Methodology) and/or CocoTb to ensure "bug-free" silicon.
• Performance benchmark and optimizations
• Timing & Power Analysis: Performing Static Timing Analysis (STA) and power optimization to meet aggressive performance targets.
• Sign-off & Tape-out Readiness: Understanding the rigorous checks required to prepare a design for fabrication.

Hiring Timelines

This internship opportunity is available throughout our 2 terms with the following corresponding recruitment cycles:

• Summer/Fall Term: Aug-Jan work term, Apr–May recruit.
• Winter/Spring Term: Jan–June work term, Nov–Dec recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

• Final-year BSc or MSc student in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
• Strong programming fundamentals in Python, with familiarity in C++ considered a plus
• Interested in backend systems, API design, and how ML models are deployed in production environments
• Curious about performance optimization techniques such as batching, caching, and model parallelism
• Motivated to learn and contribute in a collaborative engineering environment

• Contribute to backend features and APIs that support AI inference workloads
• Assist in deploying, testing, and benchmarking models running on Tenstorrent hardware
• Analyze inference performance and help identify optimization opportunities
• Write clean, maintainable code with guidance from senior engineers
• Collaborate with the team to improve reliability, usability, and performance of the inference server stack

• How end-to-end ML inference is optimized on custom AI hardware
• How scalable backend systems are designed to serve real-world AI applications
• How APIs and infrastructure shape the developer experience for AI workloads
• Practical performance analysis techniques in production-like environments
• How modern AI software stacks integrate models, runtimes, and hardware

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As an Intern on our AI Performance & Debugging Tools and Low Level Kernels teams, you will help build the software that reveals how our AI processors behave and how modern neural networks execute on our systems. You will work on runtimes, kernels, and tooling that ship with Tenstorrent hardware so customers can deploy real AI workloads with confidence. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

This role is onsite, based in our Belgrade, Serbia office.

Who You Are

• Currently pursuing a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
• Proficiency in C++ or experience with system-level programming.
• Familiarity with Linux-based environments, including shell scripting and debugging tools.
• Basic understanding of computer hardware architecture and system-level programming.
• Interest in performance profiling, debugging, and AI-related workloads.

What We Need

• Build and optimize neural network execution and data movement in C, C++, and Python on our AI/ML chips, focusing on speed, efficiency, and low power.
• Develop and extend our SDK and tools in C++ and Python to provide clear APIs and simple views into performance, hardware use, placement, routing, and power.
• Build and improve developer tools for debugging, performance monitoring, and understanding system behavior, using feedback from engineers and developers.
• Work with hardware and compiler teams to tune system performance while learning low-level programming, and support testing, documentation, and other parts of the software lifecycle.

What You Will Learn

• How state-of-the-art neural networks are mapped, scheduled, and optimized on custom AI accelerators.
• How to design and tune low-level kernels and runtime firmware that directly drive AI-specialized engines and RISC-V cores.
• How to build and extend performance, profiling, and debugging tools used by AI and compiler engineers.
• How to work in Linux-based, system-level environments using C++, Python, shell scripting, and hardware debug tools.
• How to incorporate user and developer feedback into next iterations of performance and debugging tooling.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Sep work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As an intern at Tenstorrent, you will experience working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team. This role focuses on model training pipelines on the Tenstorrent compiler stack and how neural networks are brought up and optimized on our hardware. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months. 

This role is on-site based in Belgrade, Serbia.

Who You Are

• Possessing or currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of neural network fundamentals.
• Proficiency in Python; experience with C++ is a plus.
• Ability to learn and work effectively within a team environment.

What We Need

• Participate in the implementation and validation of model training pipelines on Tenstorrent compiler stack, specifically using PyTorch and JAX.
• Support benchmarking, analysis, and performance optimization of various model architectures.
• Contribute to efforts in scaling out distributed model training under guidance and participate in discussions related to the co-design of Tenstorrent's hardware and software stack.
• Assist in the integration of Tenstorrent software with widely used tools in the machine learning community.

What You Will Learn

• The process of getting neural network models to train correctly and efficiently on our hardware.
• Techniques for benchmarking, analysis, and performance optimization of various model architectures.
• How to scale out distributed model training and participate in hardware–software co-design discussions.
• How Tenstorrent software integrates with widely used tools in the machine learning community and how a cross‑functional engineering team collaborates on real projects.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone. 

In this role, you will implement state of art ML models on Tenstorrent hardware using Python and C++, focusing on pushing both accuracy and inference speed. You will work hands-on with Tenstorrent’s open-source software stack (tt-metalium, tt-nn, tt-llk), taking models from framework to silicon and iterating on performance. You will own a well-defined engineering project under the guidance of a dedicated mentor, with direct impact on how real workloads run on our chips. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months. 

This role is onsite, based in our Belgrade office.

Who You Are

• Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.
• Solid coding skills in Python and C++, with a basic understanding of machine learning concepts and frameworks.
• You have a passion for programming, are eager to learn, and enjoy solving complex performance and optimization problems.
• You are collaborative, open to feedback, and excited to work closely with experienced engineers and a dedicated mentor.

What We Need

• Implement functional ML models on Tenstorrent hardware using Python and popular ML frameworks like PyTorch.
• Benchmark, analyze, and optimize the performance of the implemented model's inference using existing tools and coding in C++ and Python.
• Collaborate with experienced engineers to validate the accuracy of implemented models and iterate on improvements.
• Contribute to performance optimization efforts where success is measured by achieving both high accuracy and fast execution (inference) of ML models on Tenstorrent hardware.

What You Will Learn

• How to implement state-of-the-art ML models on Tenstorrent hardware using Python, C++, and popular ML frameworks like PyTorch.
• Techniques for benchmarking, analyzing, and optimizing the performance of ML model inference using existing tools and code in C++ and Python.
• How to use (and potentially debug and fix) Tenstorrent’s open-source software libraries, such as tt-metalium, tt-nn, and tt-llk.
• How to collaborate with experienced engineers, apply various problem-solving techniques, and drive a well-defined engineering project under the guidance of a dedicated mentor.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Join our Models Infra team, where we build the systems that enable reliable development, testing, and release of AI models on Tenstorrent hardware. This team focuses on automation, CI/CD pipelines, infrastructure, and tooling that power large-scale model validation, benchmarking, and release workflows. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months. 

This role is hybrid based in Belgrade, Serbia.

You will work on real-world infrastructure problems under the guidance of experienced engineers and a dedicated mentor.

Who You Are

• Final-year BSc or MSc student in Computer Science, Software Engineering, Electrical Engineering, or a related field
• Comfortable with Python and scripting; familiarity with Bash is a plus
• Interested in infrastructure, automation, CI/CD systems, and developer tooling
• Basic understanding of Docker and containerized environments
• Curious about how large-scale systems are built, tested, and deployed
• Motivated to learn, take ownership, and contribute in a collaborative environment

What We Need

• Contribute to CI/CD pipelines used for building, testing, and releasing AI software and models
• Help automate workflows around model validation, benchmarking, and reporting
• Work with Docker and containerized environments to improve reproducibility and efficiency
• Assist in maintaining and improving infrastructure used by engineers (e.g. runners, build systems, test environments)
• Write clean, maintainable scripts and tools with guidance from senior engineers

What You Will Learn

• How CI/CD systems are designed and scaled for complex AI workloads
• How infrastructure enables reliable model development and release processes
• Best practices for automation, observability, and system reliability
• How containerization and orchestration are used in production environments

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

During your internship, you will partner with highly skilled engineers, experience many approaches to problem‑solving, and work on a carefully defined engineering project in relation to convolutions and their optimizations for Tenstorrent hardware, guided by a dedicated mentor. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

This role is onsite, based in our Belgrade office.

Who You Are

• Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.
• Comfortable with one or more programming languages, including C++ and Python.
• You bring a solid foundation in algorithms and data structures and basic familiarity with machine learning frameworks and concepts.
• You are curious about kernel development, low‑level and tensor optimizations, and performance profiling, and want to deepen your skills in these areas.

What We Need

• Contribute to the design, development, and maintenance of Tenstorrent software components connected to our hardware platform, and implement and optimize kernels for convolution‑based operations.
• Analyze and optimize low‑level code to improve performance and efficiency with a strong emphasis on tensor optimization, and run performance profiling to identify and address bottlenecks.
• Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low‑level routines into machine learning frameworks and pipelines.
• Write unit tests, debug kernel‑level code for stability and reliability, and present your project approach, accomplishments, and findings to the team at the end of your internship.

What You Will Learn

• How to take a well‑scoped engineering project related to convolutions and their optimizations on Tenstorrent hardware from idea to implementation with guidance from a dedicated mentor.
• Hands‑on experience building, optimizing, and profiling kernels for convolution‑based operations and tuning low‑level code for performance.
• Practical skills integrating optimized kernels and low‑level routines into machine learning frameworks and pipelines, and hardening them through testing and debugging.
• How to communicate technical work clearly by sharing your observations, approach, and results with the broader team.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As an intern, you will experience how we do engineering for 3-6 months, working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team.

This role is on-site, based in our Belgrade office.

• You are a final-year BSc student or higher in Computer Science, Engineering, Math, or a related technical field.
• You have a strong passion for programming and a solid grasp of algorithms and data structures.
• You are proficient in programming languages, particularly Python and C++.
• You are passionate about neural networks and related deep-learning architectures.

• Design and implement Python/C++ APIs in our SDK for AI/ML developers.
• Extend the model-import pipeline to support new operators, tensor shapes, and graph patterns.
• Develop compiler passes (e.g., rewriting, tiling, optimization) using an MLIR-based infrastructure.
• Design logic for scheduling and executing compiled neural networks efficiently on our custom AI hardware.

• Gain practical experience in ML compiler development and MLIR infrastructure.
• Master high-performance programming in C++ and professional API design in Python.
• Understand hardware-software co-design principles for low-latency AI execution.
• Develop tools for performance analysis and visualization (e.g., hardware utilization, power consumption).

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join our Inference Server Technologies team, where we develop software that powers state-of-the-art AI inferencing on Tenstorrent’s cutting-edge hardware. Our team builds the layer that works on top of the Tenstorrent ML libraries - designing APIs, deploying workloads, and benchmarking end-to-end inference speed. You’ll help us shape how developers consume and scale model execution on Tenstorrent’s stack.

This role is hybrid based in Belgrade, Serbia.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• An engineer who enjoys designing modern APIs and improving how ML models are deployed in production.
• Curious about performance gains through techniques like batching, caching, and model parallelism.
• Passionate about clean software architecture and effective abstraction layers.
• Motivated to deliver backend systems that developers trust and rely on.

What We Need

• Backend engineers who enjoy solving performance bottlenecks and scaling infrastructure.
• Experience with web technologies, protocols, and system design.
• Familiarity with Python, Docker, and Linux-based environments.
• Strong coding practices and a clear ability to break down complex problems into high-quality, maintainable code.

What You Will Learn

• How to optimize end-to-end ML inference on custom silicon.
• Strategies for building scalable, reliable software interfaces for real-world AI applications.
• How to shape the experience developers have when using Tenstorrent’s hardware for AI workloads.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.

This role is hybrid based in Belgrade, Serbia.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are:

• A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
• Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
• Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
• A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.
  
  
  

What We Need:

• A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
• Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
• Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.
  
  
  

What You Will Learn:

• How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
• Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
• New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
• How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Job Overview

We are seeking a marketing analytics professional with a focus on data quality and AI-driven automation to improve marketing measurement, reporting, and decision-making. This role combines marketing analysis, data operations, and applied AI to ensure trusted, consistent data across multiple sources and to automate dashboards, attribution insights, and scalable analytical workflows.

Reports to

• Team Lead of Data & Marketing Technology

What will you do?

• Analyze marketing channels performance and deliver actionable recommendations
• Build and automate KPI reporting
• Support and automate experiment measurement (A/B, incrementality, creative testing)
• Design AI-powered automations for reporting, insight generation, anomaly detection, and campaign recommendations
• Own marketing/attribution data quality across sources (AppsFlyer + ad platforms), including validation and tracking troubleshooting
• Develop and maintain predictive models
• Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation.
• Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented

What are we looking for?

• STEM education
• Strong foundation in marketing analytics: attribution, funnels, cohort/retention, LTV, ROAS/CAC, experimentation
• Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
• Familiarity with mobile attribution/measurement platforms (e.g., AppsFlyer) and multi-source marketing data integration
• Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)

What additional skills will help you stand out?

• Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
• Experience with SKAdNetwork and privacy-safe attribution
• Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
• Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation

Work mode

• Hybrid (2-3 days of work from the office) 
• This role is eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
• Sick Leave Compensation, Maternity Leave Benefits  
• Premium Private Health Insurance
• Career development and education opportunities within the company
• English clubs and platform for learning languages
• Mental well-being program (iFeel)
• Commuting allowance
• Company events
• FitPass membership
• Discounts for employees
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• On-site canteen with subsidized prices for food and drinks
• Seniority Awards
• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.

Required skills:

• Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
• Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.                                   
• Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
• Ability to understand complex customer application ecosystems and integrate our product offerings.
• Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.

Qualifications:

• BS or MS in Electrical or Computer Engineering or related field
• 5+ years of Industrial experience in firmware development
• Strong C/C++ and Python programming skills
• Strong knowledge of digital signal processing (DSP) and algorithm development experience
• Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
• Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
• Hands on experience with integrating, building, and testing of multi-threaded applications.
• Experience with embedded real-time operating systems
• Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
• Strong analytical and problem-solving abilities
• Experience with defect tracking tools (Jira, Bugzilla, etc.)
• Strong working knowledge of a software development process (e.g., Agile, Waterfall)
• Application of Object-Oriented concepts and methodologies
• Strong system level knowledge in audio, video and TWS domains

What we offer: 

• Dynamic and supporting international teams.
• Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance. 
• Remote, hybrid or office work.
• 20-25 vacation days per year.
• Equipment for work, laptop and all necessary additions.
• Access to training and courses.
• Private health insurance.
• FIT Pass card for many sports facilities. 

We’re looking for an Application Support Specialist to ensure the stability, performance, and availability of business applications and systems used by internal teams. You will troubleshoot incidents, handle service requests, provide licences, make payments, collaborate with engineering/product teams, and drive root-cause analysis to prevent recurring issues. This role requires strong technical troubleshooting, clear communication, and a structured approach to incident management.

✅ Responsibilities:

✔️Provide L2 application support for business systems and software (web apps, software APIs, Corporate IT and backoffice tools, SaaS platforms).

✔️Provide software licenses to the employees.

✔️Triage, troubleshoot, and resolve incidents and requests within agreed SLAs.

✔️Investigate issues using logs, monitoring tools and API testing.

✔️Perform root-cause analysis (RCA) and document findings, fixes, and preventive actions.

✔️Support systems: Maintain records of over 400 software units, grant/revoke access, verify access rights according to RBAC, write documentation

✔️Identify recurring problems and drive automation or process improvements to reduce ticket volume.

✔️Communicate updates to stakeholders during incidents (status, workaround, ETA, resolution).

✔️Participate in on-call/shift rotation if required.

✔️Incident/problem management: Working with Atlassian (Jira Service Desk, Software, Confluence)

✔️Full software management cycle within the company (implementation, support, procurement/payment, renewal, user management, system deactivation, access rights verification, automation)

✔️Technical Knowledge: Atlassian (Jira, Confluence), Microsoft 365, Trelica, Grafana, Okta, SAP/Dynamics, N8N, scripting, Postman.

✅ Requirements:

✔️3+ years in application support / technical support / service operations (L2).

✔️Strong troubleshooting skills for web applications (HTTP, REST, auth basics, dev tools, SaaS Management tool).

✔️Experience working with ticketing systems (Jira Service Management, Software, Confluence.)

✔️Ability to read and interpret logs; familiarity with monitoring/alerting (Grafana, Kibana, Datadog).

✔️Scripting for automation (Python/Bash/PowerShell).

✔️Understanding of incident/problem management (ITIL concepts are a plus).

✔️Comfortable communicating with both technical and non-technical stakeholders.

✔️Strong documentation habits and attention to detail.

✔️Proactive and goal oriented mindset.

💡 Would be a plus:

✔️Experience with Linux basics, containers, or cloud platforms (AWS/Azure/GCP).

✔️Basic understanding of networking (DNS, latency, firewalls) and SSO concepts.

✔️Strong experience with API tools (Postman/Insomnia) and message queues (Kafka/RabbitMQ).

✔️Experience working with a huge amount of systems.

✔️The desire and ability to organise and manage a large number of systems from scratch.

ZAM Network is a multi-faceted company based in the United States. We specialize in building engaged gaming communities through its three core pillars of marketing, creative services and user research. ZAM operates one of the largest gaming networks in the world including the #1 community for World of Warcraft, Wowhead. 

Wowhead was created with one sole intent: providing World of Warcraft players with tools and information to make their gameplay more enjoyable. All staff members are passionate fans of World of Warcraft, which helps us keep abreast of the most important features other players are interested in! We pride ourselves on our comprehensive database with helpful user comments, popular tools like the Dressing Room and Flying Tracker, lightning-fast datamining to uncover the latest test realm updates, and detailed guides written by professional players on all popular WoW topics including classes, collections, secrets, and raids. We’ve branched out to cover the Diablo franchise and are planning our next stage of growth.

We are currently seeking a Reverse Engineer with extensive data mining experience to join our team as an independent contractor. This is not an entry level role and you will be working to extract both static and runtime game data for World of Warcraft to help Wowhead to expand our current tools to aid our community of gamers. This position is a full-time remote as you will collaborate with the entire Wowhead team as we work together to deliver world-class products to our fans.

Key Responsibilities

• Manage development of the Wowhead Studio application, to facilitate datamined assets of creatures, characters, and other in-game objects
• Extract game data and game assets required to build tools to support our products and services.
• Maintain Wowhead’s model tools using the site’s WebGL model viewers. TypeScript-based standard viewer used in most of Wowhead website.
• Use C++ web assembly-based viewer that is faster with accurate lighting, for various World of Warcraft Player Housing pages.
• Use JavaScript-based Three.js model viewer.
• Maintain comprehensive technical documentation on game data (contents, formats, change history), data mining tools and processes employed, and anything else related to the role.
• Communicate consistently, clearly, and efficiently all assigned task progress, blockers, or any other role-related issues in a prompt and professional manner on a regular basis.

Experience and Technical Requirements

• Previous hands-on experience doing data mining work on World of Warcraft and/or Diablo IV. This is not a “learn as you go” type of role; we operate in a fast paced, highly competitive, and challenging environment.
• Comprehensive understanding using various programming languages (such as C++, Python, C#, TypeScript and JS) in order to choose the best tool for the job.
• Understanding of various debugging, reverse engineering, and custom made tools to accomplish assigned tasks.
• Ability to read and comprehend x86/x64 assembly language, such as via IDA as this role is not solely a “file format” data mining role.
• Strong communication skills in English, both written and verbal, with the ability to convey information clearly and effectively.
• A collaborative mindset; ability to collaborate remotely and coordinate with stakeholders across different time zones.
• Professionalism, reliability, and a commitment to delivering high quality work utilizing your analytical and problem-solving skills.
• Being experienced in Blizzard games will make it easier to understand project requirements and the consumer side.

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.

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

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

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

In this role, you will:

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

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

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

We’d be especially thrilled if you have:

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

#LI-DNI

Responsibilities

We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:

• Building new products inside the company.

• Develop new code with Rust, and deal with existing Go/Ruby code

• Create PoC in the new areas and drive them to production or drop them away.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
  
  
• Knowledge of basic data structures and algorithms, multiprocessing, memory management.
  
  
• Experience developing high-performance asynchronous applications with Rust (preferably tokio).
  
  
• Good understanding of network protocols and stacks.
  
  
• Good understanding of DB technologies: classic databases and modern no-SQL.
  
  
• Basic knowledge of DevOps practices and tools
  
  
• Understanding of Linux environment
  
  
• Golang/Ruby knowledge is a plus
  
  
• Experience working with WASM is a plus
  
  
• Open Source contributions is a plus

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
  
  
• Spoken English (at the level enough to pass the technical interview and later work with colleagues)
  
  
• Being a result-oriented problem solver.
  
  
• Prefers coming up with proposals in problematic areas, rather than being passive.
  
  
• Being open to new technologies and switching between projects.
  
  
• Readiness to travel for business

(REQ ID: 2682)

Summary/Purpose of the role

We are looking for a Senior Software Development Engineer, Developer Tools to join our team.

Automation of key engineering processes - such as builds, testing, deployments, and more - is a critical focus at Network Optix. These efforts help our engineers work more efficiently and deliver high-quality software faster.

The CI team plays a leading role in designing, building, and maintaining this automation ecosystem, driving best practices in CI/CD (Continuous Integration and Continuous Delivery) across the company.

Current State of CI/CD and Automation

A significant portion of our engineering and infrastructure processes is already automated and continuously evolving. The CI team builds and maintains a range of internal services and tools, including:

• Automation tools – Custom bots and services that streamline routine tasks within merge requests and Jira workflows, built on top of the GitLab and Jira APIs.
• Crash analysis service – A service that processes core and minidumps from client environments and automatically creates Jira issues for developers.
• Sign server – A service that securely signs distributable binaries using certificates and keys provided by customers.
• Build tooling – Tools and integrations to build our cross-platform products using CMake, Ninja, and Conan.
• Product CI pipelines – GitLab-based pipelines that run builds and automated tests across our product line.
• Internal CI/CD solutions – Pipelines and web services for internal CI team projects, including Jenkins jobs.

What the CI Team Has Today

• A real engineering culture – Code reviews, pre-commit checks, and a strong focus on writing high-quality, maintainable code.
• A small, hands-on team – 5 engineers and a team lead who actively contributes to the codebase.
• Solid infrastructure – Bare-metal servers running Kubernetes clusters in our own data center.
• Knowledge sharing – A collaborative environment where engineers actively help each other and grow together.
• Room to grow – Opportunities to take ownership of meaningful projects and develop professionally.
  
  

What you will be doing

There is a substantial amount of work ahead as we continue to expand and improve our CI/CD ecosystem:

• New automation services – Design and implement new services, and continue evolving the existing ones.
• Developer productivity tools – Build internal tools and services that save engineers time and streamline daily workflows.
• Build tooling improvements – Make our build infrastructure faster, more reliable, and easier to maintain.
• Pipeline performance – Improve the efficiency, stability, and execution time of our GitLab pipelines.
• Automation backlog – Work through a growing backlog of automation requests from engineering teams across the company.
• Support and maintenance – Troubleshoot issues, fix bugs, and keep existing solutions reliable.

What you bring

Software engineering – Solid hands-on experience building and maintaining production services, with good coding practices and attention to code quality.

• Python – Strong Python skills; this is the team's primary language for service development.
• Service integration – Familiarity with automating workflows through integration with internal services such as GitLab, Jira, and Artifactory, using direct API access, SDKs, CLI tooling, or other programmatic approaches.
• Scripting experience -  Bash, PowerShell
• Git – Solid knowledge of Git and collaborative development workflows.
• Systems fundamentals – Working knowledge of networking, operating systems, and how software interacts with hardware.

Soft skills

• Engineering mindset - Approaches problems pragmatically, gravitates toward clean and maintainable solutions; but also knows when to “use duct tape” instead of “building a spaceship”.
• Ownership mentality - Takes responsibility for the quality and longevity of their work, not just getting it "done."

Kindness - Approachable personality, able to communicate clearly and with empathy 

Nice to Have (Optional)

• Familiarity with CMake, Conan, Ninja, or similar build tools
• Experience with GitLab CI/CD pipelines
• Jenkins experience (groovy)

What we offer

• Competitive compensation  
• Paid time off 
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote

The position is ideally a hybrid role and the office is located in Hague, Netherlands. 

Summary/Purpose of the role

We are looking for a Senior Software Development Engineer, Developer Tools to join our team.

Automation of key engineering processes - such as builds, testing, deployments, and more - is a critical focus at Network Optix. These efforts help our engineers work more efficiently and deliver high-quality software faster.

The CI team plays a leading role in designing, building, and maintaining this automation ecosystem, driving best practices in CI/CD (Continuous Integration and Continuous Delivery) across the company.

Current State of CI/CD and Automation

A significant portion of our engineering and infrastructure processes is already automated and continuously evolving. The CI team builds and maintains a range of internal services and tools, including:

• Automation tools – Custom bots and services that streamline routine tasks within merge requests and Jira workflows, built on top of the GitLab and Jira APIs.
• Crash analysis service – A service that processes core and minidumps from client environments and automatically creates Jira issues for developers.
• Sign server – A service that securely signs distributable binaries using certificates and keys provided by customers.
• Build tooling – Tools and integrations to build our cross-platform products using CMake, Ninja, and Conan.
• Product CI pipelines – GitLab-based pipelines that run builds and automated tests across our product line.
• Internal CI/CD solutions – Pipelines and web services for internal CI team projects, including Jenkins jobs.

What the CI Team Has Today

• A real engineering culture – Code reviews, pre-commit checks, and a strong focus on writing high-quality, maintainable code.
• A small, hands-on team – 5 engineers and a team lead who actively contributes to the codebase.
• Solid infrastructure – Bare-metal servers running Kubernetes clusters in our own data center.
• Knowledge sharing – A collaborative environment where engineers actively help each other and grow together.
• Room to grow – Opportunities to take ownership of meaningful projects and develop professionally.
  
  

What you will be doing

There is a substantial amount of work ahead as we continue to expand and improve our CI/CD ecosystem:

• New automation services – Design and implement new services, and continue evolving the existing ones.
• Developer productivity tools – Build internal tools and services that save engineers time and streamline daily workflows.
• Build tooling improvements – Make our build infrastructure faster, more reliable, and easier to maintain.
• Pipeline performance – Improve the efficiency, stability, and execution time of our GitLab pipelines.
• Automation backlog – Work through a growing backlog of automation requests from engineering teams across the company.
• Support and maintenance – Troubleshoot issues, fix bugs, and keep existing solutions reliable.

What you bring

Software engineering – Solid hands-on experience building and maintaining production services, with good coding practices and attention to code quality.

• Python – Strong Python skills; this is the team's primary language for service development.
• Service integration – Familiarity with automating workflows through integration with internal services such as GitLab, Jira, and Artifactory, using direct API access, SDKs, CLI tooling, or other programmatic approaches.
• Scripting experience -  Bash, PowerShell
• Git – Solid knowledge of Git and collaborative development workflows.
• Systems fundamentals – Working knowledge of networking, operating systems, and how software interacts with hardware.

Soft skills

• Engineering mindset - Approaches problems pragmatically, gravitates toward clean and maintainable solutions; but also knows when to “use duct tape” instead of “building a spaceship”.
• Ownership mentality - Takes responsibility for the quality and longevity of their work, not just getting it "done."

Kindness - Approachable personality, able to communicate clearly and with empathy 

Nice to Have (Optional)

• Familiarity with CMake, Conan, Ninja, or similar build tools
• Experience with GitLab CI/CD pipelines
• Jenkins experience (groovy)

What we offer

• Competitive compensation  
• Paid time off 
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote

The position is ideally a hybrid role and the office is located in Belgrade, Serbia. 

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

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 

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

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

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

Your responsibilities will include:

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

We expect you to have:

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

Our ideal candidate would have:

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

What we offer

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

#LI-KP1

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

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

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

Your responsibilities will include:

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

We expect you to have:

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

Our ideal candidate would also have:

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

What we offer:

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

#LI-DNI

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Hybrid (2-3 days of work from the office) 

• This role is eligible for relocation & immigration support

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:

• 21 days annual leave (additional days based on years of service: up to 25 days) 

• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) 

• Sick Leave (10 days top-up to statutory allowance per year)

• Maternity Leave (18 weeks top-up to statutory allowance per case)

• Career development and education opportunities within the company

• English Language courses fully covered by the company upon Manager’s approval

• Premium Private Health Care

• Mental well-being program (iFeel)

• Onsite gym and spa

• Free parking close to the Nicosia offices, based on availability

• Free drinks-equipped kitchen in every floor building

• Eurobank benefits (if applicable)

• Employee discounts (e.g. restaurants, bars, etc.)

• Personal Gaming Account 

• Onsite canteen with subsidized prices for food and drinks

• Company events, Social Clubs

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward 

Please submit your CV in English to ensure smooth processing and review.

About the Role

Join the Blockchain Backend Infrastructure team and take a position in building and maintaining Fireblocks's blockchain management platform. You'll be responsible for building cutting-edge blockchain infrastructure while implementing high-throughput, real-time scalable software solutions.

As a Blockchain Engineer, you will be instrumental in the research and integration of blockchain technologies into the Fireblocks platform. Your responsibilities will include collaborating closely with foundations and developers to gain a deep understanding of blockchain protocols and on-chain projects, then applying that knowledge to implement new features within the platform.

You will focus equally on external protocol integration patterns and internal wallet infrastructure. This role serves as a technical bridge between raw on-chain capabilities and the wallet features delivered to our customers.

What You'll Do

• Implement modern backend applications and infrastructure in a microservices architecture, using the latest technologies and development practices.
• Deep dive into the latest blockchain technology and become an expert in the fundamentals, protocols, and features of the chains we support.
• Collaborate effectively with developers, engineers, and other roles while demonstrating strong independent problem-solving abilities.
• Contribute to production reliability through on-call participation, incident response, and post-incident follow-ups.

What You'll Bring

• 5+ years of backend development experience in modern languages (Go, Python, JavaScript/TypeScript)
• 3+ years of hands-on blockchain development experience
• Experience working on high-scale distributed systems
• Understanding of microservices architecture and API design
• Knowledge of consensus mechanisms, cryptographic primitives, and distributed systems
• Strong problem-solving skills and attention to detail
• Strong verbal and written communication skills and a collaborative mindset

Preferred

• Experience building blockchain solutions for enterprise or institutional use cases
• Understanding of security best practices for smart contracts and blockchain systems
• Demonstrated ability to apply AI tools in day-to-day development
• Understanding of MPC, multi-signature wallets, or other advanced cryptographic techniques
• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience with Docker, Kubernetes, and Helm

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 looking for a DevOps Engineer to lead the automation of our hybrid infrastructure in our offices in Warsaw/Poland or Belgrade/Serbia. You will be responsible for managing a diverse environment that includes both AWS cloud services and on-premise bare-metal servers. A significant part of this role involves evolving our database operations—moving away from manual tasks toward a fully automated, scalable, and observable data platform.

Key Responsibilities:

• Hybrid Infrastructure Management: Design and maintain IaC for both AWS (RDS, EC2) and physical bare-metal servers using Terraform/Terragrunt and Ansible.
• Advanced Automation & Scripting: Develop custom tools and scripts (using Python or Go) to automate complex workflows that off-the-shelf tools can't handle.
• Database Lifecycle Automation: Automate provisioning, configuration tuning, and schema migrations. Work closely with DBAs to eliminate manual toil through code.
• Observability: Build and maintain high-fidelity monitoring for databases and system health using the Prometheus stack.
• Security & Compliance: Centralize secret management and access control using HashiCorp Vault.
• Knowledge Sharing: Act as a subject matter expert, documentation enthusiast, and mentor for the team as we evolve our infrastructure practices.

Technical Requirements:

• Experience: 3+ years in DevOps/SRE with a focus on infrastructure automation.
• Hybrid Ops: Proven experience managing both Cloud (AWS) and On-prem (Linux bare-metal) environments.
• Tooling: Expert-level knowledge of Ansible and Terraform/Terragrunt.
• Development Skills: Strong proficiency in Python or Go for infrastructure scripting and internal tooling.
• Linux Internals: Deep understanding of Linux systems, disk I/O optimization, and networking.

Nice to Have (The "Extra Mile"):

• Kubernetes (K8s) Expert: Hands-on experience with K8s (EKS or self-managed).
• Databases in K8s: Experience (or a strong desire to lead the transition) of running stateful workloads (Databases) inside Kubernetes using Operators or Helm.
• Mentorship: A passion for teaching and sharing K8s/Automation best practices with colleagues to level up the entire team.

What We Offer:

• The chance to work on complex, high-load systems where "manual" is a forbidden word.
• A collaborative environment where your architectural decisions directly impact the stability of the product.
• Modern stack and the freedom to introduce new tools that solve real problems.

Project Overview:

As part of our team, you’ll collaborate with people of all styles, skill sets and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

As a Senior C developer at Core Platform Engineering team your role will be to enhance the industry’s most innovative embedded networking solution for streaming audio and to develop the firmware for new product introductions. You will work with some of the brightest minds in the business across multiple disciplines of software, hardware, acoustics and WiFi technologies. You will have fun and innovate every day in our fast paced and creative environment.

What You’ll Do

• Use your knowledge of C, Linux kernel mode development, to integrate components into the platform simulator, to bring up new prototypes and future client products on the latest, highest performing wireless networking hardware.
• Leverage your curiosity in solving intricate, hard-to-replroduce defects in Linux kernel.
• Work closely with the Hardware and Platform Software teams to optimize clients platform performance, maintaining our market position as the most advanced audio hardware system in the world.

Activities

• Writing clean, maintainable code
• System architecture & technical designs
• Debugging
• Optimization
• Documentation
• Working in a team setting
• Code reviews, providing feedback
• Time estimation

Required Skills & Expertise

• 5+ yrs of experience in C
• Strong expertise in Linux kernel development and debugging
• Proficiency in Python
• Exposure to working with a software team that utilizes agile methodologies
• CI/CD systems

Preferred Qualifications

• Solid Python experience
• C++

What we offer:
•     Dynamic and supporting international teams.
•     Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performances.
•     Hybrid or office work.
•     20-25 vacation days per year.
•     4 days of sick leave (100% paid)
•     Equipment for work, laptop and all necessary additions.
•     Access to trainings and courses.
•     Private health insurance.
•     FIT Pass card for many sports’ facilities

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

We are looking for a talented Full Stack Engineer to join our team and help build an innovative agentic-driven product. In this role, you’ll work across the entire stack – frontend, backend, and cloud infrastructure – designing, developing, and maintaining high-quality features. You’ll collaborate closely with product managers, designers, fellow engineers and AI-agents to deliver scalable, reliable, and user-friendly solutions.

Our tech stack:

• Primary: TypeScript, Node.JS, Nest.JS, React, Vitest (no legacy tech)
• Secondary: Kotlin/Java (for some backend services)

In this role, you will: 

• Design, develop, and maintain end-to-end features across the frontend and backend.
• Collaborate with product and design teams to translate user needs into technical solutions.
• Write clean, efficient, and well-documented code.
• Integrate our product with internal and external APIs and services.
• Contribute to architecture decisions, scalability, and performance improvements.
• Participate in code reviews to ensure quality and best practices.
• Debug, troubleshoot, and resolve issues quickly.
• Optimize applications for speed, usability, and scalability.
• Stay up to date with emerging technologies, tools, and industry trends.
• Continuously improve development processes and practices.

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

• 6+ years of proven experience as a Full Stack Engineer or in a similar role.
• Solid engineering and architecture skills and ability to build reliable solutions.
• Focus on customer-oriented delivery and understanding of user needs and requirements.
• Deep understanding of backend & frontend development.
• Proficiency in multiple programming languages (e.g. TypeScript, Kotlin, Java, Python).
• Experience with relational and/or NoSQL databases (e.g. PostgreSQL, MongoDB, and MySQL).
• Understanding of cloud platforms (e.g. AWS, GCP, or Azure) and containerization (Docker or Kubernetes).
• Proficiency with version control systems (e.g. Git).
• Experience with testing frameworks (e.g. Jest, Vitest, and Playwright).
• Familiarity with authentication, authorization, and security best practices.
• Experience with AI agent development
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• A bachelor’s degree in computer science or engineering (or equivalent practical experience).

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-IM1

Job Overview

Wargaming is looking for an Automation QA Engineer to work on World of Warships: Legends project in our Belgrade office. The QA Automation Team is responsible for writing new tests and maintaining existing ones to ensure the highest quality in game development. We automate game testing across multiple platforms, including consoles and mobile devices. The main role of the team is not only to automate routine tasks for other departments but also to develop high-load, reliable, and reusable test scenarios.

Reports to

Automation QA Team Lead

What will you do?

• Develop and maintain automated tests for functional, performance, stability testing on Python

• Work with multiple development console (Xbox, PlayStation) and mobile platforms (iOS, Android)

• Create and maintain issues in tracking-system Jira

• Support documentation according to existing autotests and tools

• Collaborate with other department teams and provide support according to tests results

• Be involved in developing & maintaining CI/CD software

What are we looking for?

• Experience and strong knowledge in Python 3.10+

• Knowledge of Pytest

• Experience working with VCS (GIT/SVN)

• Experience working with CI/CD tools

• Knowledges into software testing methodologies

• Intermediate English (B2) or higher

What additional skills will help you stand out?

• Experience in Java, Groovy or JavaScript

• Experience working with Docker and linux-based systems

• Experience working with SQL, MongoDB, Elasticsearch

• Strong debugging and troubleshooting skills

Work mode

• During the probation period: onsite

• After the probation period: onsite or hybrid (3 days per week in the office)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum

• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)

• Sick Leave Compensation, Maternity Leave Benefits  

• Premium Private Health Insurance

• Career development and education opportunities within the company

• English clubs and platform for learning languages

• Mental well-being program (iFeel)

• Commuting allowance

• Company events

• FitPass membership

• Discounts for employees

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• On-site canteen with subsidized prices for food and drinks

• Seniority Awards

• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

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 

P-1341

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. You will join a cohort of engineers who will build their careers through collaborative projects and learning opportunities. With a dedicated mentor and supportive team, you'll onboard quickly and start contributing to impactful projects soon after starting here at Databricks!

The impact you will have:

• Work with a team to build features and improve architecture for the Databricks platform
• Develop and extend the Databricks product
• Own full software development lifecycle: design, development, testing, and operating in production
• Build solutions with a high level of reliability, scalability, and security

What we look for:

• You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject
• You have implementation skills with a general purpose program language, such as Python, Java, or C++
• You have knowledge of algorithms, data structures, and OOP principles
• You have experience managing end-to-end projects

We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. 

The Corporate IT department is seeking a Senior DevOps Engineer to lead infrastructure automation, reliability, and scalability initiatives across our multi‑cloud, multi‑region environments. This position requires deep hands‑on experience with AWS, Kubernetes, containerization, and DevOps automation practices.

You’ll work in a dynamic and fast‑moving environment where priorities can shift quickly — flexibility, ownership, and problem‑solving under changing conditions are key to success.

✅ Responsibilities:

✔️Cloud Infrastructure & Automation: 

• Architect, deploy, and manage scalable environments in AWS and Azure within multi‑tenant, multi‑account structures.
• Implement Infrastructure as Code (IaC) using Terraform, Ansible, and GitOps frameworks such as Flux.

✔️Kubernetes & Container Platform Operations: 

• Operate and optimize Kubernetes clusters for security, scalability, and reliability.
• Manage components like Istio (service mesh), Kyverno (policy enforcement), Calico (networking and security), and Spegel (image distribution).

✔️CI/CD and Deployment Pipelines:

• Build and improve CI/CD pipelines to ensure consistent, automated delivery across development and production.
• Integrate container image lifecycle management and GitOps deployment workflows.

✔️Traffic Management & Load Balancing:

• Design and maintain traffic routing and service mesh configurations to achieve high availability and low latency. 
• Support load balancing strategies for distributed and multi‑region applications.

✔️Security & Secret Management:

• Own secret management and identity integration using HashiCorp Vault and AWS Secrets Manager.
• Establish secure practices for secret distribution, access control, and auditing.

✔️Monitoring, Observability & Backups:

• Extend observability coverage with Prometheus, Grafana, and VictoriaMetrics.
• Ensure reliable backup, restore, and disaster recovery mechanisms for critical systems.

✔️Collaboration, Adaptability & Mentoring:

• Cooperate with other DevOps and system engineers to align workflows and support cross‑functional goals.
• Stay adaptable — priorities may shift rapidly as new critical initiatives arise.
• Share best practices, create technical documentation, and mentor teammates in DevOps culture and tools.

✅ Requirements:

✔️5+ years in DevOps, Site Reliability, or Infrastructure Engineering roles.

✔️Advanced knowledge of Kubernetes (operations, networking, policy, and automation).

✔️Expertise in Docker, Terraform, Ansible, and scripting (Bash, Python, or Go).

✔️Proven experience managing multi‑account or multi‑region AWS environments.

✔️Deep understanding of traffic routing, ingress, and service mesh (Istio, Envoy).

✔️Strong expertise with HashiCorp Vault and AWS Secrets Manager.

✔️Familiarity with GitOps principles (Flux, ArgoCD).

✔️Excellent troubleshooting, communication, and cross‑team collaboration skills.

✔️Comfortable working in a fast‑paced, ever‑changing environment with shifting priorities.

✅ Nice to Have:

✔️Exposure to FinOps and cost optimization in cloud environments.

✔️Experience with compliance frameworks (SOC2, ISO 27001, PCI DSS).

✔️Familiarity with Azure DevOps or Bicep/ARM templates.

We are looking for a skilled Senior DevOps Engineer in our office in Serbia, Belgrade.

✅ Responsibilities:

• Multi-CDN & Edge Management: Manage and optimize Edge Services across multiple providers, including Cloudflare, Fastly, and Gcore. This includes configuring DNS, CDN, Edge Computing (Snippets/Workers), Access Control, and WAF policies.
• Provider-Agnostic Resilience: Design and implement cloud-agnostic failover strategies and high-availability solutions to ensure service continuity, preventing vendor lock-in and dependency on a single provider.
• Traffic & Performance Engineering: Monitor and fine-tune HTTP traffic handling, global load balancing (GSLB), and caching strategies to minimize latency and optimize content delivery at a global scale.
• Mass Domain & SSL Management: Orchestrate configurations for a large-scale domain portfolio, including automated SSL/TLS provisioning and unified security policy enforcement across different platforms.
• Advanced Infrastructure as Code (IaC): Maintain reusable and scalable configurations using Terraform or OpenTofu to manage diverse provider environments, ensuring infrastructure is auditable and consistent.
• Security & Web Protection: Collaborate with security teams to implement robust Rate Limiting, DDoS mitigation, and Bot Management across the network and application layers.
• Observability & Incident Response: Participate in on-call rotations, perform root cause analysis (RCA), and tune performance for both edge and application layers using centralized monitoring tools.
• CI/CD & Automation: Integrate edge configuration changes into CI/CD pipelines, automating deployments and ensuring rigorous testing of infrastructure changes.

✅ Must Have:

• 2+ years in DevOps, Site Reliability, or related roles with a focus on Cloudflare services.
• Solid understanding of HTTP protocol, caching principles, and CDN concepts.
• Experience managing Cloudflare DNS, Firewall Rules, Page Rules, Workers, and related services.
• Strong knowledge of Nginx (or similar: Envoy, HAProxy) for reverse proxy and load balancing.
• Proficiency with Infrastructure as Code concepts and practical experience with Terraform.
• Understanding of networking fundamentals including TCP/IP, routing, and security best practices.
• Experience working with Linux environments and scripting (Bash, Python, or similar).
  
  

✅ Nice to Have:

• Experience with Cloudflare Enterprise features (Argo, advanced caching, Cloudflare Workers KV).
• Experience with performance testing and analysis tools for CDN and edge optimization.
• Familiarity with container orchestration systems (Kubernetes).
• Experience with CI/CD systems (GitLab CI, Jenkins).
• Basic security knowledge (SSL management, security headers).

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

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

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

As part of our team, you will:

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

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

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

Our ideal candidate would have experience with:

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

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

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

#LI-HYBRID
#LI-MR1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the 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.

#LI-DNI

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

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

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

In this role, you will: 

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

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

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

It would be nice if you: 

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

#LI-KP1

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

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

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

As part of our team, you will:

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

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

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

Our ideal candidate would have experience with:

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

#LI-KP1

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

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

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

In this role, you will:

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

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

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

We’d be especially thrilled if you have: 

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

#LI-MR1

Summary 

We are looking to hire a Customer Support Engineer as a part of Telesign Technical Support who will be working with our customers as well as with internal teams on troubleshooting issues, resolving them, or escalating problems. Technical Support Team is working in conjunction with other Telesign teams, employs a customer-centric oriented approach to improve the quality of the service that Telesign provides.

General Responsibilities:

• Identify, clarify, and resolve general and specific customer impacting problems.
• Provide professional, useful, and complete advice, training, and responses.
• Learn, apply, and articulate Telesign’s products, services, and operational technology to recommend potential uses and best practice for customers; to stay up to date with application changes.
• Drive increased customer satisfaction by exceeding expectations.
• Provide responsive support in line with company service levels and proper handling.
• Maintain accurate account information and settings in proprietary systems.
• Alerting and Communication – Internal and External.
• Provide additional monitoring after alert by responsible Telesign department.
• Evaluation and feedback on operational procedures/processes to ensure efficiency and security.
• Maintain and expand technical knowledge across Telesign products and services, tools, and processes.
• Contribute to and maintain technical documentation, responses, FAQs, knowledge bases and processes to help work efficiently across Support organization.
• Update relevant stakeholders with the most frequent customer questions or where customers experience confusion or issues.

Essential Requirements:

• 2-3 years’ experience in a mid or high-level customer facing role.
• Fluent English, excellent verbal and written.
• Fast Learner.
• High level of responsibility.
• Team orientated.
• Strong problem-solving skills and analytical skills; logical and critical thinking.
• Strong Customer care and focus.
• Positive attitude and results-driven motivation.
• Ability to translate technical knowledge and concepts to non-technical people.
• Strong ability to prioritize and multi-task in a fast-paced environment.
• Attention to detail.
• MS Office package - relevant knowledge.
• Ability to work in shifts (24/7 shift schedule).
• Working understanding of any of basic technical concepts of REST API, Java, PHP, Ruby, C#, Python …
• Familiarity with Salesforce ticketing systems (” Service cloud”), Atlassian tools (JIRA, Status Page), ”Kibana”, ”Grafana”, “Confluence”- will be treated as advantage.
• Telecom and Messaging experience (CPaaS, SMS, Voice, telecom data, Carrier ecosystem).

We are offering

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

About Telesign

Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.

Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.

Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.

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.

Job Overview

Wargaming is looking for a proactive, excited, and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player's behavior and the events in the ‘WoT universe’: from economic, financial, and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry, and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for the decision-making process, with the Data Warehouse team responsible for data storage, reports system, and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for a non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in, and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Full-time employment

• Hybrid (2-3 days of work from the office) or remote (from anywhere within Poland).

• Candidates must be legally authorized to work in Poland at the time of application

Type of Contract and Salary

• Employment Contract (umowa o prace)

• The salary range for this role is 15 000 - 25 000 PLN gross monthly

 The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview.

 Please note that this salary range applies to Poland; for other locations, it might be different.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include:

• Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum

• Sick Leave 100% Compensation (10 days per calendar year)

• Career development and education opportunities within the company

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Multisport card

• Personal Gaming Account 

• Company events

• Seniority Awards  

• Referral program - you can recommend the best talents to the Company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision-making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

The salary range for this position is 4000-6500 € (gross) per month.

Note that this salary range is valid for Lithuania, for other locations it might be different.

Work Mode

• Hybrid (2-3 days of work from the office)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:

• Additional paid time off 

• Sick Leave Compensation

• Pregnancy and Childbirth Leave Benefit  

• Career development and education opportunities within the company

• Meal Allowance

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Perks discounts platform (over 450 exclusive discounts)

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• Company events 

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Hybrid (2-3 days of work from the office) 

• This role is eligible for relocation & immigration support

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum

• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)

• Sick Leave Compensation, Maternity Leave Benefits  

• Premium Private Health Insurance

• Career development and education opportunities within the company

• English clubs and platform for learning languages

• Mental well-being program (iFeel)

• Commuting allowance

• Company events

• FitPass membership

• Discounts for employees

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• On-site canteen with subsidized prices for food and drinks

• Seniority Awards

• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making.

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities.

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release);

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts;

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams.

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists.

• Presenting the research results and filling the product analytics knowledge base to share with other teams.

What are we looking for?

• 5+ years experience on a similar position.

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results.

• Advanced SQL knowledge.

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc).

• Experience with Python/R and popular libraries for data processing and analysis.

• Great communication skills, both written and spoken, especially for non-technical audience.

• Written and spoken English (B1 and higher).

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time.

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake.

• Knowledge and practical application of machine learning algorithms.

• Rich gaming experience in different games and over 1000 World of Tanks battles.

Work mode

• Hybrid (2-3 days of work from the office) 

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:

• 5 weeks of Annual Leave per calendar year

• Additional paid time off 

• Sick Leave Compensation, Maternity & Paternity Leave Benefits  

• Career development and education opportunities within the company

• Meal card contribution

• Public transportation allowance

• Premium private healthcare

• Mental well-being program (iFeel)

• Multisport Employee discounts

• Personal Gaming Account 

• Coffee, fruits, and snacks in the office

• Company events

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

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

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

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

As part of our team, you will:

Build tools for agentic error analysis

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

Build evaluation pipelines

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

Research methods for improving agent and model behavior on Kotlin

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

Build public Kotlin benchmarks

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

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

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

Our ideal candidate would also have experience with:

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

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

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

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

About the role

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

In this role, you will:

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

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

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

We’ll be especially thrilled if you:

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

At JetBrains, 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 

• 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.

• 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.

• 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