About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

About the Role
You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production.
The role combines Java backend development and Python (primarily PySpark) for large-scale data processing.

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data pipelines for large-scale data processing (primarily with PySpark)
• Collaborate closely with ML engineers to prepare and transform data for ML models
• Work with large datasets to support search relevance and optimization systems
• Improve system performance, scalability, and reliability
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have):

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (required)
• Solid experience with Spark / PySpark or similar data processing frameworks
• Proven experience building data pipelines and working with large datasets
• Strong understanding of backend development, system design, and distributed systems
• Experience with APIs and microservices
• Good knowledge of data structures, algorithms, and performance optimization
• Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team)

Nice-to-have (at least one of the following):

• Experience with search and relevance optimization, including:
  Elasticsearch / Solr (lexical search)
  Semantic search, vector search, or RAG-based systems
  Search relevance tuning
• Experience supporting ML workflows, such as:
  Data preparation or feature engineering
  Recommendation systems or user behavior prediction
• Experience with Databricks (preferred) or similar environments:
  AWS EMR, Hadoop, Spark ecosystem

We offer:

• Freedom to Develop - equal opportunity to learn and grow professionally
• Clear career and professional path, strong performance management system
• Social Benefits Package
• Equipment
• English lessons
• Gym membership
• All the advantages of working in an international IT company
• Flexible vacation time
• Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need.

Learn more about Lineate at our website: www.lineate.com

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.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• Collaborate with cross-functional distributed teams.
• Gather, analyze and spec out requirements, and manage product deliverables.
• Design and build scalable AI-driven products addressing real-world problems.
• Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

• Strong programming skills, preferably in Python.
• Exceptional analytical skills and a passion for solving complex problems.
• Thorough understanding of how AI works and familiarity with language models.
• Understanding of vector databases and other relevant data structures.
• Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.)
• Excellent communication skills in English.
• Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture.
• A strong delivery mind-set, drive to get things done.
• Experience in finance is not required.

What we offer:

• Dynamic work without routine in a leading international company;
• Competitive compensation package, which may include annual bonuses and salary increases;
• Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc.);
• Possibility for business trips to the US and other countries;
• Regular team building, competitions and corporate events;
• Monthly team lunches;
• Medical insurance;
• Life insurance;
• Support program for employees and their relatives on psychological, legal, and financial issues;
• Parental leave program for secondary care givers;
• Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;

#LI-MH1

The Role: This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals.

• Develop a structured and methodical research agenda combining fundamental knowledge, data exploration and quantitative analysis.
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research.
• Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas; enrich a wide range of structured and unstructured data into datasets to enable your quantitative research.
• Take a process orientated approach to understand the value drivers of your Alphas

What You’ll Bring:

• At least 2 years of relevant financial research experience
• Proven experience of extracting insights from large and complex datasets using SQL and Python. Experience with alternative datasets a plus.
• Demonstrable financial knowledge - passed at least Level I of the CFA program, or similar financial qualification (i.e., MBA or accountancy background). Thorough understanding about various valuation approaches and methods.
• Expertise in time series analysis and models.
• Proficient in coding in C/C++ and Python.
• Excellent communications skills (both written and oral English).
• Strong analytical and conceptual skills encompassing finance and related areas of financial investment.
• Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred.

What We Offer:

• Dynamic work without routine in a leading international company;
• Competitive compensation package, which may include annual bonuses and salary increases;
• Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc);
• Possibility for business trips to the US and other countries;
• Regular team building, competitions and corporate events;
• Monthly team lunches;
• Medical insurance;
• Life insurance;
• Support program for employees and their relatives on psychological, legal, and financial issues;
• Parental leave program for secondary care givers;
• Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;
• Modern office in the city center with coffee, fruits & snacks!
• Relocation package in certain cases

Position based in Yerevan, Armenia.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. 
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Proven track record of mentoring junior engineers and fostering a collaborative team environment. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Job Responsibilities (including, but not limited to, the following):

• Building algorithmic, computer-driven models;
• Conducting research on academic quantitative finance literature;
• Exploring new data;
• Applying a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics;
• Staying updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications.

What You’ll Bring:

• Degree from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar;
• Research mind-set: being a deep thinker, creative, persevering, inquisitive, a self-starter, attentive to detail, etc.;
• Critical thinking and ability to come up with non-standard approaches;
• Solid programming skills (C++ and/or Python);
• Willingness to learn about worldwide financial markets;
• Good knowledge of English (both oral and written);
• Strong work ethic.

Additional Preferred Qualifications:

• International or regional Mathematical/Programming/Physics Olympiad medals;
• Strong record of academic achievement (PhD or equivalent experience, scientific publications, conference presentations, grants or awards);
• Relevant experience in Research or Software engineering;
• Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.;
• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs.

What We Offer:

• Dynamic work without routine in a leading international company;
• Competitive compensation package, which may include annual bonuses and salary increases;
• Healthy work-life balance support (flexible start time, parental leave, sabbatical and 5 extra vacation days after 5 years of service etc.);
• Possibility for business trips to the US and other countries;
• Regular team building, competitions and corporate events;
• Monthly team lunches;
• Medical insurance and critical illness insurance;
• Support program for employees and their relatives on psychological, legal, and financial issues;
• Parental leave program for secondary care givers;
• Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;
• Modern office in the city center with coffee, fruits & snacks!
• Relocation package in certain cases.

Position based in Yerevan, Armenia.

#LI-VM2

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Research Intern. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Job Responsibilities include, but are not limited to, the following: 

• Building quantitative models of financial markets
• Performing analysis of financial datasets
• Exploring academic literature on mathematical finance
• Staying updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

What You'll Bring: 

• 3rd year of studies or higher (including MSc and PhD students) from a top university in a highly analytical/quantitative field, such as: Mathematics, Computer Science, Physics, Economics, Finance or similar
• Research mind-set: being a deep thinker, creative, persevering, smart, a self-starter, attentive to detail, etc.
• Demonstrated ability to program in C++ and/or Python
• Willingness to learn about worldwide financial markets
• Knowledge of English (B2 level or above)
• Strong work ethic

As a plus:

• Participant of International or regional Mathematics/Programming/Economics/Physics Olympiads
• Strong record of academic achievement (such as scientific publications, conference presentations, grants or awards)

Unique Opportunity:

• To understand the connections between advanced mathematical, computational and machine learning methods, and the modern financial industry
• Potential to be considered for a permanent position after graduation, based upon internship performance (among other factors)
• To work with world-leading researchers in a friendly and collegial environment
• To learn from who sits next to you!

What We Offer:

• Dynamic work without routine in a leading international company
• Competitive compensation package
• Healthy work-life balance support (flexible start of working day)
• Regular team building, competitions and corporate events
• Monthly team lunches
• Culture of continuous learning: online courses, trainings, invited speakers
• Coffee, fruits & snacks in the office!

Position based in Yerevan, Armenia.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. 
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

• Building algorithmic, computer-driven models;
• Conducting research on academic quantitative finance literature;
• Exploring new data;
• Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

What You’ll Bring:

• Proven 3 years experience in quantitative equity research (buy side or sell side);
• Background in working with large data sets;
• Degree from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar;
• Research mind-set: be a problem solver, creative, steadfast, smart, a self-starter, etc.;
• Ability to work independently with minimal direction;
• Critical thinking and ability to come up with non-standard approaches;
• Solid programming skills (C++ and Python);
• Good knowledge of English (both oral and written);
• Strong work ethic.

• Experience working with corporate actions data;
• Familiarity with equity index basics;
• International or regional Mathematical/Programming/Physics Olympiad medals;
• Strong record of academic achievement (PhD, scientific publications, conference presentations, grants or awards);
• Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.

What we offer:

• Dynamic work without routine in a leading international company;
• Competitive compensation package, which may include annual bonuses and salary increases;
• Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc.);
• Possibility for business trips to the US and other countries;
• Regular team building, competitions and corporate events;
• Monthly team lunches;
• Medical insurance;
• Life insurance;
• Support program for employees and their relatives on psychological, legal, and financial issues;
• Parental leave program for secondary care givers;
• Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;
• Fruits & snacks in the office;
• Relocation package in certain cases

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

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

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

In this role, you will:

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

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

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

We’d be especially thrilled if you have:

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

#LI-DNI

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

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).

✔️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.

✔️Provide software licenses to the employees.

✔️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.

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

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

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

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

Key responsibilities

System integration and support:

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

Access governance and permission reviews:

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

RBAC and ABAC modeling:

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

Required skills and experience

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

Preferred qualifications

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

Why join JetBrains?

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

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

*Some benefits may vary depending on location.
#LI-DNI 

At JetBrains, 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 have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

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

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

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

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

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

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

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

As part of our team, you will:

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

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

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

Our ideal candidate would have experience with:

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

#LI-KP1

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

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

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

In this role, you will:

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

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

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

We’d be especially thrilled if you have: 

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

#LI-MR1

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

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

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

As part of our team, you will:

Build tools for agentic error analysis

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

Build evaluation pipelines

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

Research methods for improving agent and model behavior on Kotlin

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

Build public Kotlin benchmarks

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

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

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

Our ideal candidate would also have experience with:

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

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

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

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

About the role

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

In this role, you will:

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

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

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

We’ll be especially thrilled if you:

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

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

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

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

As part of our team, you will: 

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

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

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

We'd be especially thrilled if you: 

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

Why join JetBrains?

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

*Some benefits may vary depending on location.

#LI-DNI 

We invite a Security Engineer. This is a full-time, office-based role (no remote/hybrid) in one of our hubs:

• Belgrade, Serbia
• Lisbon, Portugal
• Sofia, Bulgaria
• Warsaw, Poland

The final location will depend on business needs and the feasibility of relocation from your current spot.

✅ Requirements: 
Must-Have:
✔️ 5 years of experience in IT infrastructure administration or information security roles. 
✔️ Advanced administration of macOS, Windows, and Linux operating systems, including secure configuration, system hardening, access control management, and troubleshooting at the OS level. 
✔️ Understanding of networking fundamentals, including IP networking, routing, switching, and network protocol behaviour relevant to security analysis. 
✔️ Basic knowledge of regulatory requirements and standards such as ISO27001, ISO27701, PCI DSS, GDPR, and others. 
✔️ Administration and configuration of EDR/XDR platforms, including policy management, detection rule tuning, incident investigation, and endpoint threat response. 
✔️ Configuration and administration of enterprise VPN solutions, including secure remote access management, authentication policies, and network access control. 
✔️ Administration and tuning of DLP systems, including policy development, data classification integration, and monitoring of data exfiltration risks. 

Nice-to-Have:
✔️ Proficiency in working with any kind of simple scripts: bash, PowerShell or Python, etc.. 
✔️ Understanding of the basic principles of virtualisation platform functionality. 
✔️ Experience in complex implementation or support projects of enterprise information security solutions (any solution classes from the list): MDM, SIEM, DLP, PAM, NGFW, Endpoint Security. Etc..
✔️ Experience with deployment and administration of IDS/IPS solutions, including rule tuning and network threat detection. 
✔️ Experience with PaloAlto, Digital Guardian, OpenVPN security solutions. 

✅ Responsibilities:
System Administration:
✔️ Manage security systems: DLP, XDR, Network VPN gateway.
✔️ Implement and maintain security control policies to enhance security.
✔️ Keep security system infrastructure updated and patched. 
✔️ Integrate security systems with new IT solutions and assets.
✔️ Debug issues related to the security systems software - cooperate closely with vendor support. 

Monitoring and Analysis:
✔️ Continuously monitor network activity, systems load. 
✔️ Monitor and review vendor notifications about Saas security system maintenance, critical vulnerabilities, new releases and features. 
✔️ Identify and analyze potential threats and vulnerabilities in the security systems.

Incident Response: 
✔️ Respond to security incidents and provide 2-3 levels of support for the SOC team, coordinating incident response efforts. 
✔️ Escalate incidents to other teams as necessary. 

Reporting, Documentation, and Continuous Improvement: 
✔️ Prepare tech documentation after implementation of new security controls, system configurations. 
✔️ Create basic instructions for security software for end users. 
✔️ Suggest improvements to security system configuration and incident mitigation. 
✔️ Participate in post-incident reviews and propose enhancements. 

We invite a Security Engineer. This is a full-time, office-based role (no remote/hybrid) in one of our hubs:

• Belgrade, Serbia
• Lisbon, Portugal
• Sofia, Bulgaria
• Warsaw, Poland

The final location will depend on business needs and the feasibility of relocation from your current spot.

✅ Requirements: 
Must-Have:
✔️ 5 years of experience in IT infrastructure administration or information security roles. 
✔️ Advanced administration of macOS, Windows, and Linux operating systems, including secure configuration, system hardening, access control management, and troubleshooting at the OS level. 
✔️ Understanding of networking fundamentals, including IP networking, routing, switching, and network protocol behaviour relevant to security analysis. 
✔️ Basic knowledge of regulatory requirements and standards such as ISO27001, ISO27701, PCI DSS, GDPR, and others. 
✔️ Administration and configuration of EDR/XDR platforms, including policy management, detection rule tuning, incident investigation, and endpoint threat response. 
✔️ Configuration and administration of enterprise VPN solutions, including secure remote access management, authentication policies, and network access control. 
✔️ Administration and tuning of DLP systems, including policy development, data classification integration, and monitoring of data exfiltration risks. 

Nice-to-Have:
✔️ Proficiency in working with any kind of simple scripts: bash, PowerShell or Python, etc.. 
✔️ Understanding of the basic principles of virtualisation platform functionality. 
✔️ Experience in complex implementation or support projects of enterprise information security solutions (any solution classes from the list): MDM, SIEM, DLP, PAM, NGFW, Endpoint Security. Etc..
✔️ Experience with deployment and administration of IDS/IPS solutions, including rule tuning and network threat detection. 
✔️ Experience with PaloAlto, Digital Guardian, OpenVPN security solutions. 

✅ Responsibilities:
System Administration:
✔️ Manage security systems: DLP, XDR, Network VPN gateway.
✔️ Implement and maintain security control policies to enhance security.
✔️ Keep security system infrastructure updated and patched. 
✔️ Integrate security systems with new IT solutions and assets.
✔️ Debug issues related to the security systems software - cooperate closely with vendor support. 

Monitoring and Analysis:
✔️ Continuously monitor network activity, systems load. 
✔️ Monitor and review vendor notifications about Saas security system maintenance, critical vulnerabilities, new releases and features. 
✔️ Identify and analyze potential threats and vulnerabilities in the security systems.

Incident Response: 
✔️ Respond to security incidents and provide 2-3 levels of support for the SOC team, coordinating incident response efforts. 
✔️ Escalate incidents to other teams as necessary. 

Reporting, Documentation, and Continuous Improvement: 
✔️ Prepare tech documentation after implementation of new security controls, system configurations. 
✔️ Create basic instructions for security software for end users. 
✔️ Suggest improvements to security system configuration and incident mitigation. 
✔️ Participate in post-incident reviews and propose enhancements. 

We invite a Security Engineer. This is a full-time, office-based role (no remote/hybrid) in one of our hubs:

• Belgrade, Serbia
• Lisbon, Portugal
• Sofia, Bulgaria
• Warsaw, Poland

The final location will depend on business needs and the feasibility of relocation from your current spot.

✅ Requirements: 
Must-Have:
✔️ 5 years of experience in IT infrastructure administration or information security roles. 
✔️ Advanced administration of macOS, Windows, and Linux operating systems, including secure configuration, system hardening, access control management, and troubleshooting at the OS level. 
✔️ Understanding of networking fundamentals, including IP networking, routing, switching, and network protocol behaviour relevant to security analysis. 
✔️ Basic knowledge of regulatory requirements and standards such as ISO27001, ISO27701, PCI DSS, GDPR, and others. 
✔️ Administration and configuration of EDR/XDR platforms, including policy management, detection rule tuning, incident investigation, and endpoint threat response. 
✔️ Configuration and administration of enterprise VPN solutions, including secure remote access management, authentication policies, and network access control. 
✔️ Administration and tuning of DLP systems, including policy development, data classification integration, and monitoring of data exfiltration risks. 

Nice-to-Have:
✔️ Proficiency in working with any kind of simple scripts: bash, PowerShell or Python, etc.. 
✔️ Understanding of the basic principles of virtualisation platform functionality. 
✔️ Experience in complex implementation or support projects of enterprise information security solutions (any solution classes from the list): MDM, SIEM, DLP, PAM, NGFW, Endpoint Security. Etc..
✔️ Experience with deployment and administration of IDS/IPS solutions, including rule tuning and network threat detection. 
✔️ Experience with PaloAlto, Digital Guardian, OpenVPN security solutions. 

✅ Responsibilities:
System Administration:
✔️ Manage security systems: DLP, XDR, Network VPN gateway.
✔️ Implement and maintain security control policies to enhance security.
✔️ Keep security system infrastructure updated and patched. 
✔️ Integrate security systems with new IT solutions and assets.
✔️ Debug issues related to the security systems software - cooperate closely with vendor support. 

Monitoring and Analysis:
✔️ Continuously monitor network activity, systems load. 
✔️ Monitor and review vendor notifications about Saas security system maintenance, critical vulnerabilities, new releases and features. 
✔️ Identify and analyze potential threats and vulnerabilities in the security systems.

Incident Response: 
✔️ Respond to security incidents and provide 2-3 levels of support for the SOC team, coordinating incident response efforts. 
✔️ Escalate incidents to other teams as necessary. 

Reporting, Documentation, and Continuous Improvement: 
✔️ Prepare tech documentation after implementation of new security controls, system configurations. 
✔️ Create basic instructions for security software for end users. 
✔️ Suggest improvements to security system configuration and incident mitigation. 
✔️ Participate in post-incident reviews and propose enhancements. 

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
🚀 Career growth opportunities in an international and dynamic environment; 
📚 Opportunity to develop language skills with partial compensation for language courses; 
🎁 Special gifts for birthdays, weddings, and newborns; 
🏝️ 20 working days of paid annual vacation, plus 6 paid sick leaves; 
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance; 
📍 Comfortable office with great facilities in a prime location; 
 🎉 Exciting corporate events, team-building activities, and international company parties.

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
🏝 24 vacation days annually 
🤒 6 sick days without a medical certificate 
🏥 Premium Health Insurance (coverage up to 5,000 EUR annually) 
🎉 Special occasion gifts: birthday, wedding, newborn 
📚 Learning & Development budget (for conferences, courses and certifications) 
🌍 Corporate events: international parties, team buildings, activities 
📈 Career growth opportunities in a fast-growing company 
✈️ Relocation package for international candidates 
🏋️ Sports package (FitPass membership) 
🗣️ Language classes: Serbian & English (company-covered)

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
💻 Learning and development opportunities and interesting, challenging tasks.
✈️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members).
📚 Opportunity to develop language skills, with partial compensation for the cost of English and Portuguese language classes (for localization purposes). 
🎾 Partial compensation for tennis and padel lessons. 
🏀 Urban Sport membership benefit (the most diverse sports and wellness offering in Europe, with more than 50+ activities). 
🏥 Private medical coverage, including inpatient, outpatient, dental care, annual check-ups, and maternity support. 
🏝 Time for proper rest, with 24 non-business days per year and an additional 6 paid sick days. 
🚌 Transport compensation - 200 euros net per month. 
📈 Competitive remuneration level with annual review. 
🤝 Teambuilding activities. 

We invite a Senior Application Security Engineer to join our team.

🌎 Global Remote Mobility: Available for Senior roles in selected jurisdictions.

✅ Responsibilities:
✔️ Demonstrated ability to collaborate with other teams to achieve complex objectives.
✔️ Responsible for security architecture design from cloud infrastructure to application through the implementation of "secure by design" principles.
✔️ Collaborate with product managers, architects, and developers on the implementation of the security controls platform ecosystem and products.
✔️ Proof security implementations within infrastructure and application deployment manifests and the CI/CD pipelines.
✔️ Define required policies, controls, and capabilities for the protection of products and environments.
✔️ Build and validate declarative threat models automation.
✔️ Participate in engineering teams’ product planning cycles and committees.
✔️ Oversee the product security aspects for migration of products and services from Data Center to public cloud, e.g., AWS.
✔️ Serve as a trusted cyber security advisor to product and application teams.

✅ Minimum Requirements:
✔️ Experience integrating security scanning/tooling into the development pipeline.
✔️ Experience in analysing and securing microservices and applications developed using JavaScript and Typescript.
✔️ Experience with CI/CD pipelines (such as Gitlab, Jenkins) and infrastructure-as-a-code models (such as Terraform, Helm, or CloudFormation).
✔️ Hands-on development experience in Python/shell scripting.
✔️ Strong understanding of supply chain security, software integrity, and secure software delivery.
✔️ Experience with Docker and mesh technologies (such as ISTIO).
✔️ Experience with architecture and security reviews, threat modelling, and application risk is highly desired.
✔️ Experience working with Agile methodologies.
✔️ Knowledge of privacy laws and regulations, such as GDPR desired.
✔️ Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc.

✅ PREFERRED QUALIFICATIONS:
✔️ In-depth experience with architecting secure services on Kubernetes.
✔️ Extensive experience with architecting secure services on AWS or on-prem data centers.
✔️ Security-related professional certifications e.g., CISSP, CISM, CCSK, CCSP, CEH, are highly desirable.

✅ We offer excellent benefits, including but not limited to:
🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, 6 paid sick leaves;
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
 🎉 Exciting corporate events, team-building activities, and international company parties.

About the Team

Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.

About the Role

As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.

What you’ll do

• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
• Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability
• Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
• Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
• Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
• Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
• Write clean, well-tested, maintainable code, participating in code reviews and® technical discussions across the stream
• Troubleshoot and resolve production issues, ensuring high availability and performance

What you’ll need

• 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
• Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
• Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
• Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
• Ability to develop high-quality, production-ready code within complex codebases
• Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
• Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
• Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
• AI-First Proficiency. We’re building for an AI-first future, and we’re looking for graduates who aren’t just using AI—they’re mastering it. We’re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it’s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
• Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
• Nice-to-have: Real-time technologies experience (WebSocket)
• Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
• Nice-to-have: Multi-modal AI or long-context handling
• Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-JR1

At BrainRocket, we believe that data-driven insights are the backbone of effective people management. We are looking for a strategic HR Data Analyst to own our people metrics, streamline our reporting ecosystem, and provide the analytical firepower needed to optimize recruitment, budgeting, and resource planning.

If you’re a master of data storytelling who can turn complex datasets into actionable leadership strategies, we want you on the team.

What You’ll Do

• End-to-End People Analytics: Lead deep-dive analysis across the entire employee lifecycle—from sourcing and onboarding efficiency to time-off trends and turnover predictors.

• Budget & Strategic Planning: Act as a key partner in HR budget execution. You will support leadership with high-accuracy resource forecasting and headcount modeling to ensure we scale intelligently.

• Reporting & Self-Service: Design, build, and maintain automated, intuitive dashboards. Your goal is to democratize data, empowering stakeholders with real-time insights at their fingertips.

• Data Stewardship: Maintain the "single source of truth." You’ll ensure total data integrity and consistency across all internal HR systems and integrations.

What You Bring

• Experience: 3+ years of professional experience in data analytics, ideally within an HR or People Ops environment.

• Excel Mastery: Expert-level skills in data manipulation, complex modeling, and advanced formulas (you know your way around more than just a VLOOKUP).

• Technical Proficiency: Strong Python skills for data processing, automation, and scripting to handle repetitive tasks and large datasets.

• Data Visualization: Proven ability to build sleek, insightful dashboards in BI tools like Tableau or Power BI.

• Strategic Mindset: You don’t just report numbers; you translate raw data into business stories and strategic advice that drives change.

Perks & Benefits

At BrainRocket, we offer a comprehensive benefits package designed to support your professional growth and personal well-being:

• Modern Workspace: Work from our state-of-the-art office located in the heart of New Belgrade.

• Generous Paid Time Off: Enjoy 24 days of annual vacation plus 6 paid sick days provided without the need for a medical certificate.

• Premium Health Coverage: Private health insurance with comprehensive coverage of up to 5,000 EUR annually.

• Life Milestones: We celebrate your personal wins with special company gifts for birthdays, weddings, and newborns.

• Professional Development: A dedicated Learning & Development budget to fund your attendance at international conferences, specialized courses, and professional certifications.

• Vibrant Culture: Frequent corporate events, including international parties, structured team-building activities, and social outings.

• Career Advancement: Clear pathways for growth and promotion within a fast-scaling global company.

• Relocation Support: A full relocation package is available for international candidates to ensure a smooth transition.

• Wellness & Fitness: Stay active with a company-sponsored Sports Package (FitPass membership).

• Language Learning: Company-covered Serbian and English classes to help you integrate and communicate effectively.

The Firm

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

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

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

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

The Role

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

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

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

Essential Attributes

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

Desirable Experience

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

Benefits

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

Hiring Process

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