Highlights:

Location: Remote (CET hours preferred)

Compensation: $4,400 - $5,600 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

You will join a small team responsible for the stability, performance, and security of our server infrastructure: bare metal, VMs, databases, queues, networking, and infrastructure security. Our philosophy is simple: the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility.

This role is for someone who enjoys working with real infrastructure (OS, hardware/virtualization, networks), not just cloud abstractions.

What You'll Do

• Work primarily with on‑premise infrastructure (bare metal and VMs): setup, maintenance, troubleshooting
• Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps
• Own automation projects end‑to‑end (design → rollout → maintenance)
• Improve how we operate: harden and tune systems and also improve the way the team works in terms of operational hygiene
• Keep the platform stable, fast, and secure: servers, web servers, databases, queues
• Investigate production incidents across OS / networking / infrastructure layers, apply temporary mitigations, coordinate with developers and participate in post‑mortems
• Participate in on‑call rotations
• Use AI in all aspects of day‑to‑day work: researching, troubleshooting, developing

Requirements

• 4+ years as a DevOps Engineer / SRE (or very close responsibilities)
• Real, hands-on experience with servers (VMs, bare metal) at the OS level and below: configuring, troubleshooting, digging into “why it’s broken”
• Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from Linux Crisis Tools
• Solid understanding of networking basics; ability to configure and troubleshoot iptables
• Ansible + Git
• Experience with Bash or Python scripting for automation/observability
• Production/on‑call experience: diagnosing incidents, restoring service, participating in post‑mortems
• Ownership and attention to detail. Downtime is expensive: five years ago, 10 minutes of downtime cost us $100k — today it’s even more

Nice to Have

We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below:

• ClickHouse, MongoDB: what each database is used for, monitoring, troubleshooting performance and slow queries, sharding
• Kafka: operating clusters at scale (topic moves, broker replacements, tuning)
• Redis: high‑load tuning, replication, sharding, performance monitoring
• Elasticsearch: configuration, scaling, sharding/cluster management
• HAProxy / Nginx: load balancing, SSL/TLS, caching, reverse proxying, performance monitoring
• OS tuning: kernel/network stack/filesystem parameters for high‑load systems
• Full Disk Encryption on LVM: We use Clevis + Tang in production
• Infrastructure Security: Teleport, HashiCorp Vault

Bonus points

Great if you’ve worked with any of the following:

• VictoriaMetrics and how it differs from the Prometheus stack
• Complex CI/CD pipelines. We use scripted Jenkins pipelines
• Bare‑metal Kubernetes: provisioning, networking (MetalLB or alternatives), isolation from the internet, scaling across providers (like OVH, Hetzner) and integration with existing infrastructure
• Flux and GitOps
• Terraform

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working.

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

Location: Remote (CET hours preferred)

Compensation: $4,400 - $5,100 gross + stock options

Language: Russian-speaking team, English B1+ required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes.

At the initial stage, you will be the first engineer in this direction, taking full ownership of the data domain. As the product and data needs grow, we plan to expand the team, and you will have the opportunity to contribute to its development.

This role requires a high level of autonomy and ownership, combined with close collaboration with analytics, Data Science, and engineering teams.

What You’ll Do

• Design and evolve the architecture of the data platform and storage systems.
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
• Maintain and further develop the Data Warehouse.
• Collaborate with engineering and analytics teams on system design and architectural decisions.
• Ensure data governance and maintain high standards of data quality.
• Write and optimize queries for MongoDB and ClickHouse.
• Manage and maintain workflows in Airflow.

Requirements

• Experience: 7+ years of experience as a Data Engineer.
• Programming: 5+ years of experience with Python, TypeScript, Node.js, Kafka.
• Strong understanding of data processing algorithms and principles.
• Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
• Solid understanding of Data Lake and Data Warehouse architectures.
• Experience working with large-scale data and query optimization.
• Ability to work collaboratively toward shared goals.
• Strong sense of ownership, responsibility, and proactivity.
• English level: B1+.

Nice to Have

• Experience with Apache Parquet, MLflow, MongoDB. 

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Role: Senior ML-Engineer

Location: Armenia, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.

We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.

The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.

What You’ll Do

• Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
• Select the most appropriate ML/LLM approaches or propose alternative solutions.
• Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
• Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
• Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Role: Senior ML-Engineer, Finance

Location: Armenia, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Location: Remote (CET hours preferred)

Compensation: $3,600 - $4,600 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Senior QA Engineer (Quality Enablement), you will work in a cross-team role focused on improving product quality through processes, practices, and engineering influence across the entire organization.

QAE does not write product tests for teams on a regular basis. Instead, the role focuses on:

• Helping teams build effective testing strategies
• Reviewing test scenarios, automated tests, and technical decisions
• Analyzing quality metrics and driving improvements
• Educating teams on testing and automation best practices
• Preventing production incidents and reducing technical debt
• Contributing to test frameworks (helpers, utilities)

What You'll Do

• Help product teams define and improve testing strategies (unit / integration / E2E)
• Review test scenarios, automated tests, and quality-related technical decisions
• Analyze defects, flaky tests, and testing results
• Drive improvements based on quality metrics and recurring issues
• Support teams in building reliable and scalable test automation
• Contribute to test frameworks and shared tooling (helpers, utilities)
• Collaborate with engineers, product teams, and QA engineers
• Educate and mentor teams on testing practices and automation approaches
• Ensure test automation does not negatively impact CI performance

Requirements

• 7+ years of experience in testing web client-server applications
• 3+ years of experience in test automation
• Hands-on experience writing automated tests (E2E / integration)
• Experience with JavaScript / TypeScript
• Understanding of frontend architecture (React)
• Understanding of backend architecture (Node.js / NestJS)
• Experience developing or maintaining test frameworks
• Strong understanding of testing levels (unit / integration / E2E)
• Experience writing test scenarios or defining test strategy
• Experience reviewing automated tests (code review)
• Experience with CI/CD (Jenkins or similar)
• Docker (images, networks, volumes, docker-compose)
• Ability to influence quality through processes, not only code
• Strong communication skills
• Ownership mindset and willingness to take responsibility for quality decisions

Nice to Have

• Experience introducing testing or automation processes in teams
• Experience working with quality metrics (flaky rate, coverage, CI performance)
• Experience analyzing defects and improving processes
• Experience conducting trainings, workshops, or mentoring
• Experience working across multiple product teams
• Experience building or evolving E2E frameworks
• Experience reducing flaky tests and optimizing CI
• Experience in platform or enablement teams

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working.

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

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)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

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

At JetBrains, we build developer tools that help engineers stay focused on solving hard problems instead of fighting routine work.

Within JetBrains AI, we are collaborating with Zed on the Agent Client Protocol (ACP), an open protocol that lets AI coding agents work inside editors and IDEs. ACP is already supported in JetBrains AI Assistant, and the project is jointly governed by JetBrains and Zed. We see ACP as a long-term investment in interoperability, developer choice, and durable AI-powered workflows across the JetBrains ecosystem. (The JetBrains Blog).

ACP evolves in the open. Real-time coordination happens in Zulip, actionable work is tracked in GitHub Issues, longer-form discussion happens in GitHub Discussions, and substantial protocol changes move through the RFD process. We need someone who can help JetBrains shape that work from the product side: define the right developer scenarios, align internal and external stakeholders, and turn ecosystem needs into clear priorities for JetBrains and for the protocol. (Agent Client Protocol).

This is not a generalist product management role. It is also not a pure protocol engineering role. It sits between developer-experience product work and protocol evolution.

This role is often a strong fit for someone who has spent several years as a software engineer – ideally on APIs, SDKs, web/backend systems, libraries, frameworks, or platform integrations – and then moved into product management or a hybrid product or engineering role.

This will be an exciting opportunity if you:

• Want to shape an open interoperability layer for AI-native software development.
• Enjoy turning messy cross-team technical discussions into clear product direction.
• Like working with engineers, agent developers, and external partners to make complex systems usable and durable.

In this role, you will:

• Identify and prioritize the developer scenarios JetBrains should support through ACP in JetBrains IDEs.
• Study how those scenarios are already handled in CLIs and agents, and define coherent IDE-native flows that JetBrains should support.
• Work on examples such as plan mode, sub-agent workflows, or agent-to-agent communication, and turn them into clear scenario definitions and product requirements.
• Talk to JetBrains product and engineering teams, external agent developers, and partners to collect requirements, constraints, and compatibility concerns.
• Turn those inputs into crisp problem statements, GitHub Issues, success criteria, and roadmap priorities.
• Partner closely with protocol engineers and ACP maintainers to translate validated scenarios into protocol proposals, implementation requirements, and delivery plans.
• Represent JetBrains in regular protocol conversations with Zed and the broader ACP community, helping drive alignment on what belongs in the protocol, what should remain implementation-specific, and what should wait.
• Balance immediate JetBrains product needs against long-term protocol design concerns such as extensibility, backward compatibility, clarity, and ecosystem fit.
• Define and monitor the right telemetry and product metrics for ACP-related surfaces, including agent installation success, authentication success, protocol feature adoption, task completion, reliability, and developer satisfaction.
• Help JetBrains make long-term, product-quality decisions about supporting ACP across multiple IDE experiences.
• Communicate decisions, trade-offs, and priorities clearly to highly technical stakeholders inside and outside JetBrains.

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

• Have 1-4 years of product management experience, or equivalent end-to-end ownership in a hybrid engineering/product role.
• Have a substantial software engineering background and hands-on production coding experience in real systems.
• Understand how modern web and integration primitives work in practice, including OAuth, WebSockets, HTTP, JSON-RPC, and service-to-service communication.
• Are comfortable reasoning about APIs, protocols, payload schemas, event-driven systems, authentication flows, local/remote execution, and backward compatibility.
• Can discuss technical details credibly with engineers and agent developers, even when the conversation goes deep into protocol behavior, edge cases, or extensibility.
• Can take raw technical feedback and turn it into clear user scenarios, requirements, issue tickets, and written decisions.
• Have strong product judgment and can distinguish between a JetBrains-specific UX choice and a protocol-level capability that should be standardized.
• Have a data-driven mindset and know how to combine telemetry, qualitative feedback, and ecosystem signals in product decisions.
• Have strong spoken and written English.

We’d be especially thrilled if you:

• Previously worked as a senior software engineer, staff engineer, library/framework maintainer, SDK owner, or platform/integration engineer before moving closer to product work.
• Have experience with developer tools, IDEs, AI coding agents, CLI workflows, or interoperability layers such as LSP, MCP, or ACP.
• Have contributed to open-source projects or standards-like processes.
• Are comfortable working in public GitHub workflows with Issues, Discussions, pull requests, and proposal documents.
• Have built or supported products where compatibility, extensibility, and future-proofing mattered.
• Use JetBrains IDEs regularly.

#LI-KL1 

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base.

Outcomes 

• Design, develop, and deploy backend services and APIs that solve real-world customer challenges
• Optimize application performance, scalability, and security
• Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services
• Troubleshoot and resolve production issues efficiently
• Actively participate in code reviews, knowledge sharing, and continuous learning

Requirements 

• 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C#
• 2+ years of experience in product companies (SaaS)

• Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code
• Experience with writing and maintaining Unit tests and E2E tests
• Advanced experience with MongoDB
• Upper-intermediate or higher English proficiency (written and spoken)
• Strong problem-solving skills and a growth mindset
• Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination
• Openness to constructive feedback and value the ideas and opinions of others

Our technologies

• Backend: .NET Core (C#), Python
• Frontend: Vue.js 2/3, Nuxt 3, Typescript
• Databases: MongoDB, PostgreSQL, Elasticsearch
• Messaging Queue: Kafka
• Cloud Provider: Amazon AWS
• Monitoring & Logging: ELK (EFK), Prometheus, Grafana

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, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

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

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

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

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

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

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

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

#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. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

With hundreds of thousands of users around the world, IntelliJ IDEA is the best development environment for Java and other programming languages. We have created several other IDEs and additional products for working with code, such as Qodana, based on the IntelliJ Platform.

We want to develop our platform, make it more flexible, and adapt it to various tasks and scenarios. Recently, we’ve implemented several major changes relating to our in-IDE licensing subsystem. These include new free license options and the release of AI Assistant and Junie. Now, we need to reimagine and modernize our licensing subsystem entirely.

Requirements: 

• Experience working on Java or Kotlin projects.
• The ability to solve complex technical problems in real products with a wide range of customers.
• Knowledge of algorithms and data structures.
• English language proficiency sufficient for correspondence, including with end users.

Our ideal candidate would have: 

• Experience working with profilers.
• Experience creating and designing APIs.
• Experience writing plugins for IntelliJ IDEA.
• Knowledge of how code analysis tools work.
• Knowledge and experience using other programming languages besides Java and Kotlin.

How we work:

• We store our source code in Git, with some of the code stored publicly on GitHub. (https://github.com/JetBrains/intellij-community).
• Most of our source code is written in Java and Kotlin. However, there are also small pieces that are written in Rust, C, and C++.
• To organize our team’s work, we use JetBrains tools, including Space for code reviews, TeamCity for automated testing and product builds, and YouTrack for bug tracking.

#LI-DNI

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

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

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

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 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, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

We’re looking for an experienced QA Automation Engineer to join our Dev Environments team and help ensure the quality and reliability of WSL, Docker, Kubernetes, Dev Containers, and other virtualized development environment tooling within the IntelliJ-based product family.

As a QA Automation Engineer, you're not just writing tests – you're:

• Strengthening the team's confidence in product quality: Your automation allows the team to iterate quickly while maintaining stability.
• Partnering with QA Engineers to drive a culture devoted to quality: You advocate for testability and quality throughout the development process.
• Solving challenging problems: Testing developer tools allows you to work in complex technical scenarios and flex your strong investigation skills.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated test scenarios (UI, E2E, and functional) across various operating systems (Linux, Windows, macOS) and environments like Docker and WSL.
• Expand test coverage for new and existing functionality.
• Improve existing automation based on team feedback, reduce test flakiness, and automate routine checks.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Contribute to frameworks and tools with product-specific extensions as needed.

Quality assurance

• Monitor test execution results and investigate failures.
• Participate in release quality assessments.
• Collaborate with QA Engineers and developers on testability and quality improvements:
• Participate in design discussions to reveal risks early.
• Suggest testing approaches.
• Deal with regressions before they reach users.
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed, for example by reporting bugs in YouTrack and verifying that they are fixed.
• Fill the gap between manual testing and automated execution by co-authoring test plans and aligning quality strategy within the team.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• Ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail, even while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English (written and verbal).
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• Ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

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, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

The remote development functionality in JetBrains products redirects IDE-heavy processing from a local machine to a powerful remote server, reimagining how developers work. With hardware performance no longer a limitation, developers can work from anywhere while benefiting from improved security, stability, and reliability.

We're looking for a QA Automation Engineer to join the Remote Development team and help ensure that the products software engineers around the world rely on daily are of the highest quality.

You'll work alongside QA Engineers to design and implement automated testing scenarios that catch issues before they reach our users, cover regressions with automated tests, and improve automation processes within the team.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL.
• Expand test coverage for new and existing functionality.
• Monitor automated test execution results.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Improve test automation stability and contribute to automation frameworks.

Quality assurance 

• Report bugs in YouTrack and verify that they are properly fixed and backported. 
• Participate in release quality assessments.
• Collaborate with QA and developers on testability and quality improvements. 
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• The ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English, both written and verbal.
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• The ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

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, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

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.