Platform Engineer Jobs in Lima.
All active Platform Engineer roles based in Lima.
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Lead Machine Learning Engineer
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Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.
Job responsibilities
- You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
- You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation
- You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
- You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
- You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
- You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
- You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation
- You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
- You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization
Job qualifications
Technical Skills
- You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
- You can design and execute cross-functional requirements based on business priorities
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
- You have experience with distributed systems and scalable architectures to handle large-scale ML applications
- You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Travel
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
Company Policies
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
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Apply to Referrals OnlySenior Machine Learning Engineer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.
Job qualifications
Technical Skills
- An advanced English level is required.
- You must have a strong experience with LLM and AI.
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
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Apply to Referrals Only
Senior Software Engineer, Core Experiences - Lima, Peru
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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.
Ready to apply?
Apply to Speechify
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
We are looking for a skilled Frontend Engineer to join one of our dynamic technical teams, such as Wheely for Business (B2B) or Pricing.
Responsibilities
- Design and develop visually stunning, high-performance user interfaces for Wheely's luxury customer-facing services, implementing scalable and reusable front-end components.
- Contribute to the front-end platform through technical frameworks, improving security, privacy, and development processes.
- Collaborate closely with Product Designers, Product Managers, and other Software Engineers to bring concepts to life and ensure the technical feasibility of UI/UX designs.
- Contribute to continuous improvement of development workflows, including CI/CD pipelines, testing frameworks, and technical documentation
- Manage individual project priorities, deadlines, and deliverables.
We are looking for individuals who have:
- A strong attention to detail, with a passion for delivering exceptional user experiences through advanced UI/UX design.
- An agile mindset and the ability to work independently while thriving in a team environment.
- Strong communication skills, with the ability to articulate technical concepts clearly and collaborate effectively with cross-functional teams.
- A proactive approach, with a willingness to take ownership of tasks and contribute beyond your immediate responsibilities to support the team's success.
If you are a frontend engineer passionate about creating luxurious digital experiences and are excited to work on a high-impact team, we would love to hear from you.
Requirements
- At least 4 years of experience in a Software Engineer, Frontend / Frontend Engineer / Frontend Developer role.
- Proficiency in HTML, CSS, JavaScript, and Browser APIs.
- At least 3 years of experience with TypeScript, React, Redux or alternative state management libraries (e.g. MobX).
- Experience with performance optimization, maintainability, and rich UI design.
- Experience with SaaS, PostCSS, and modern build tools such as Webpack or their alternatives.
- Experience with automated testing, such as end-to-end tests (Playwright, Selenium), UI/Component tests (e.g. using Jest), or snapshot tests.
- STEM (technical) degree.
What we Offer
- Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
- Competitive salary
- Employee stock options plan
- Private medical and dental insurance
- Daily Lunch allowance
- Latest-generation MacBook Pro and 4k display
- Professional development stipend
- Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
Ready to apply?
Apply to Wheely
Software Engineer, Data Infrastructure & Acquisition - Lima, Peru
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Información Importante
Ubicación: Perú
Modalidad de trabajo: Hibrido - 1 a 2 veces por semana en Miraflores. Apto para residentes fuera de Lima con disponibilidad de acceso cuando se requiera.
Resumen del puesto
Buscamos un/a QA Engineer (21166) con experiencia en entornos bancarios para asegurar la calidad de aplicaciones digitales (web y mobile) mediante la ejecución de pruebas funcionales, automatización y validaciones de performance. La persona será responsable de garantizar la estabilidad, seguridad y correcto funcionamiento de soluciones orientadas a banca digital, trabajando de forma colaborativa con equipos de desarrollo y negocio.
Responsabilidades y Funciones
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Ejecutar pruebas funcionales, de regresión y pruebas de aceptación de usuario (UAT).
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Diseñar, documentar y mantener casos de prueba manuales y automatizados.
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Participar en la automatización de pruebas y mejora continua de procesos QA.
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Realizar pruebas de performance utilizando herramientas como JMeter.
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Ejecutar pruebas de APIs y validar integraciones entre sistemas.
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Identificar, registrar, hacer seguimiento y validar la corrección de defectos.
Requisitos y Habilidades
-
+4 años de experiencia profesional como QA
-
+2 años de experiencia en automatización de pruebas.
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2 a 4 años de experiencia en pruebas funcionales, regresión y UAT.
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2 años de experiencia en banca o proyectos relacionados (banca digital, créditos, ahorros).
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Certificación ISTQB Foundation.
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Experiencia en pruebas de performance con JMeter.
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Experiencia en API Testing.Manejo de Jira y Xray.
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Experiencia en gestión de defectos.
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Conocimiento de métricas de calidad.
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Nivel intermedio en bases de datos (DB2 / SQL Server).
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Experiencia con Git.
Deseables:
- Conocimiento de BanTotal.
- Experiencia con herramientas de análisis de código y seguridad (SonarQube, Veracode).
- Conocimientos en GCP.
- Conocimiento de ESB.
Acerca de Encora
Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.
En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.
Ready to apply?
Apply to Encora
Software Engineer (CLion, Embedded Debugging, and Integrations)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
CLion is a cross-platform IDE for C and C++ that supports GCC, Clang, MSVC, GDB, and LLDB.
We are looking for a Software Engineer to join the CLion team and help improve the embedded development experience in the IDE. You’ll work on debugger support, integrations with debug probes and servers, and RTOS-aware debugging features for embedded targets.
This role combines low-level engineering and product work, from interacting with debuggers and embedded tooling to integrating new capabilities into CLion's UI and workflows.
As part of our team, you will:
- Develop CLion as a product and take part in discussions about new features.
- Improve debugger support for embedded development scenarios.
- Build integrations with debug probes, debug servers, and related tooling.
- Work on RTOS integration and RTOS-aware debugging features.
- Implement features for inspecting threads and tasks, memory, registers, and target states.
- Support remote and cross-platform debugging workflows.
- Collaborate with QA engineers and users to investigate issues and improve the product.
We’ll be happy to have you on our team if you:
- Have 3+ years of commercial development experience in C++, Java, or Kotlin.
- Understand how debuggers work and are interested in systems-level development.
- Have experience with embedded software development and debugging.
- Are familiar with GDB and/or LLDB.
- Understand multithreading and low-level application behavior.
- Are familiar with Unix, macOS, and Windows.
- Understand OOP and know how to design modular, scalable APIs.
- Can write automated tests.
- Can work both independently and as part of a team.
We'll be especially thrilled if you:
- Have experience with RTOSes, embedded targets, and firmware debugging.
- Have worked with debug probes and vendor-specific embedded ecosystems.
- Have experience with CMake, cross-toolchains, and the GNU Toolchain or Clang.
- Have experience using Python.
- Have experience with IntelliJ-based plugin development.
- Have good written English skills.
How we develop CLion
- CLion is based on the IntelliJ Platform, which is also the foundation for other JetBrains products such as IntelliJ IDEA, WebStorm, PhpStorm, RubyMine, and PyCharm.
- The source code is stored in Git repositories, some of which are available on GitHub.
- Most of the source code is written in Java and Kotlin, while some debugger-related components are in C, C++, and Python.
- CLion is a distributed team, and all team members communicate with users, discuss feature requests, take part in troubleshooting, and clarify bug reports.
Benefits:
- 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-MP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Información Importante
Ubicación: Perú
Modalidad de trabajo: Trabajo remoto pero se debe tener disposición para ir a oficina a demanda del cliente en Lima, Perú
Resumen del Rol
Buscamos un DevOps Engineer (20725) con experiencia en automatización, integración y despliegue continuo, responsable de optimizar procesos de desarrollo y operación. Serás clave en la implementación de buenas prácticas DevOps, asegurando la eficiencia, escalabilidad y confiabilidad de las plataformas tecnológicas.
Responsabilidades y Funciones
- Diseñar, implementar y mantener pipelines de CI/CD.
- Automatizar procesos de despliegue y gestión de infraestructura.
- Administrar entornos cloud y asegurar su disponibilidad y rendimiento.
- Colaborar con equipos de desarrollo para mejorar procesos de integración y entrega continua.
- Monitorear sistemas, identificar incidentes y proponer mejoras.
- Implementar buenas prácticas de seguridad en el ciclo de desarrollo (DevSecOps).
- Gestionar herramientas de versionamiento, integración y despliegue.
Requisitos y Habilidades
- Experiencia de 5 años en adelante como Devops
- Experiencia comprobada con Jenkins, Docker, Kubernetes, Versioning (Code), Argo CD & Anthos y Code & GitOps
- Experiencia en plataformas cloud (AWS, Azure o GCP).
- Conocimiento en contenedores y orquestadores (Docker, Kubernetes).
- Deseable: Experiencia con SonarQube, Blackduck, Checkmarx, WebInspect, lenguajes de programación Net 8, NetFramework y .ASP
- Experiencia trabajando en entornos ágiles.
- Habilidades de comunicación, trabajo en equipo y enfoque en mejora continua.
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to Encora
Performance QA Engineer (JCP Core)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.
The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.
We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.
As part of our team, you will:
- Design, develop, and maintain automated performance test suites for complex distributed systems.
- Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
- Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
- Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
- Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
- Integrate performance testing into CI/CD pipelines.
We’ll be happy to have you on our team if you have:
- 5+ years of experience in performance testing or engineering.
- Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
- Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
- A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
- The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
- Experience testing high-traffic or mission-critical applications.
- Strong analytical skills and the ability to communicate technical findings clearly.
- Proficiency in English, both written and spoken.
We’ll be especially thrilled if you have:
- Experience with observability platforms (Prometheus/Grafana and Elastic).
- Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
- Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
- Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Product Manager – Agent Interoperability (ACP)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Security Engineer, Identity and Access Management (IAM)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Staff Engineer (Product Architecture, JetBrains Cloud Platform)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Staff Engineer (Platform Architecture , JetBrains Cloud Platform)
Share this job
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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Principal Engineer (Product Architecture, JetBrains Cloud Platform)
Share this job
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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Principal Engineer (Platform Architecture , JetBrains Cloud Platform)
Share this job
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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Software Engineer (IntelliJ Platform Licensing)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior MLOps Engineer (ML Workflows Engineering)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Research Engineer (LLM Training and Performance)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We’re looking for a Research Engineer who will own the training stack and model architecture for our Mellum LLM family. Your job is easier said than done: make training faster, cheaper, and more stable at a large scale. You’ll profile, design, and implement changes to the training pipeline – from architecture to custom GPU kernels, as needed.
As part of our team, you will:
- Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
- Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
- Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
- Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream when possible.
- Push memory/perf levers: FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, NCCL tuning.
- Harden large runs by building elastic and fault-tolerant training setups, ensuring robust checkpointing, strengthening reproducibility, and improving resilience to preemption.
- Keep the data path fast using streaming and sharded data loaders and tokenizer pipelines, as well as improve overall throughput and cache efficiency.
- Define the right metrics, build dashboards, and deliver steady improvements.
- Run both pre-training and post-training (including SFT, RLHF, and GRPO-style methods) efficiently across sizable clusters.
We’ll be happy to bring you on board if you have:
- Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
- Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
- Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
- GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
- A solid understanding of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and how they show up in traces.
Our ideal candidate would have experience with:
- FlashAttention-2 and 3, CUTLASS and CuTe, TransformerEngine and FP8, Inductor, AOTAutograd, and torch.compile.
- MoE at scale (expert parallel, router losses, capacity management) and long-context tricks (ALiBi/YaRN/NTK scaling).
- Kubernetes or SLURM at scale, placement and affinity tuning, as well as AWS, GCP, and Azure GPU fleets.
- Web-scale data plumbing (streaming datasets, Parquet and TFRecord, tokenizer perf), eval harnesses, and benchmarking.
- Safety and post-training methods, such as DPO, ORPO, GRPO, and reward models.
- Inference ecosystems such as vLLM and paged KV.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Apply to JetBrains
Staff Research Engineer (LLM Pre-Training)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
QA Automation Engineer (IJ Platform/ Dev Environments)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
QA Automation Engineer (IJ Platform / Remote Development)
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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
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior Full-stack QA Engineer (AI Platform)
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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 are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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