AI Engineer Jobs in Lima.
All active AI Engineer roles based in Lima.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Senior Software Engineer (AppGlass)
Share this job
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.
About the role
We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.
In this role, you will:
- Design, build, and lead the development of product features.
- Develop tooling and automation for AI-first engineering workflows.
- Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
- Improve reliability, testing, performance, and security for production use.
We’d like to have you on the team if you:
- Have extensive experience with Java, Kotlin, and JVM systems.
- Have worked on enterprise backend software, infrastructure, or developer tooling.
- Are comfortable with Kubernetes and cloud environments.
- Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
- Enjoy using AI in development, while validating results with solid engineering discipline.
We’ll be especially thrilled if you:
- Have experience with debugging, instrumentation, or observability-related tools.
- Have experience with .NET or Python backend products.
- Care deeply about developer productivity and engineering quality.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-REMOTE
#LI-KT1
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
Lead Machine Learning Engineer
Share this job
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.
#LI-Remote
Ready to apply?
Apply to Referrals OnlyLead Data Engineer
Share this job
Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.
Job responsibilities
- You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
- You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
- You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementations of their models.
- You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.
- You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
- You will be responsible for data governance, data security and data privacy to support business and compliance requirements.
- You will define the strategy for and incorporate data quality into your day-to-day work.
Job qualifications
Technical Skills
- You have experience with databricks
- Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have a deep understanding of Gen/AI and LLMs
- You have experience in writing clean, high-quality code using the preferred programming language.
- You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
- You have experience with data visualization techniques and can communicate the insights as per the audience.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
- Advanced English is required
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 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.
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-Onsite
Ready to apply?
Apply to Referrals Only
Software Engineer, Data Infrastructure & Acquisition - Lima, Peru
Share this job
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
Senior Machine Learning Engineer
Share this job
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
Ready to apply?
Apply to Referrals Only
QA Engineer (AI Assistant Features)
Share this job
At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.
As part of our team, you will:
- Perform functional, exploratory, and regression testing.
- Design test cases and write specifications.
- Reproduce bugs and verify fixes.
- Communicate with the team, as well as internal and external users.
- Participate in feature discussions and planning.
- Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.
Requirements:
- Experience in testing without functional specifications.
- Knowledge of testing methodologies.
- Understanding of programming concepts sufficient for writing simple applications.
- Experience with Java or Kotlin.
- Commitment to working as a team, sharing your knowledge, and being open to other points of view.
You’ll be great for our team if you:
- Have an interest in machine learning.
- Have experience working with data and know how to make data-informed decisions.
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 AI Engineer (Core Engine)
Share this job
At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories.
We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.
In this role, you will:
- Translate product needs into agentic tools and services and ship them to production.
- Scale prototypes to large numbers of users.
- Improve and test our semantic search service.
- Build evaluation pipelines for code retrieval and coding task performance.
We’ll be happy to have you on our team if you have:
- At least five years of hands-on NLP experience.
- Experience in information retrieval systems.
- Strong experience in LLM prompt and tool engineering, as well as with AI agents.
- Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
- Experience building and operating production-grade software systems.
We’d be especially thrilled if you have:
- Experience developing in Kotlin or Java.
- Previously worked with code intelligence (e.g. AST, symbol graphs).
#LI-DNI
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: Híbrido
Resumen del Rol
Buscamos un Backend Software Engineer Mid (21034) con fuerte enfoque en Java y desarrollo de APIs, responsable del mantenimiento evolutivo de aplicaciones, corrección de vulnerabilidades y soporte técnico dentro de un entorno bancario exigente.
Responsabilidades y Funciones
- Desarrollar y mantener aplicaciones backend en Java y Spring.
- Diseñar, implementar y documentar APIs RESTful.
- Consumir y exponer servicios SOAP y REST.
- Corregir vulnerabilidades identificadas por equipos de seguridad.
- Brindar soporte al equipo de QA en resolución de incidencias.
- Realizar despliegues en ambientes no productivos para certificación.
- Gestionar versionamiento de código mediante Git.
- Documentar evidencias técnicas de cambios y soluciones implementadas.
- Participar en reuniones de coordinación con equipos técnicos.
Requisitos y Habilidades
- +3 años de experiencia en desarrollo backend con Java.
- Conocimiento avanzado en Java (8, 11 o superiores) y Spring Framework.
- Experiencia sólida con Oracle (procedimientos almacenados, packages, funciones).
- Experiencia en diseño y desarrollo de APIs REST.
- Conocimiento en servicios SOAP.
- Conocimiento en mecanismos de autenticación y autorización (JWT, OAuth).
- Experiencia con herramientas como Postman y Swagger.
- Manejo de control de versiones (Git).
- Conocimiento en pruebas unitarias y funcionales.
- Conocimiento en buenas prácticas de seguridad (XSS, CSRF, SQL Injection).
- Conocimiento intermedio en JavaScript (ES6+).
- Experiencia en metodologías ágiles (Scrum).
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 EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Data Engineer Mid (20959) responsable de diseñar e implementar soluciones end-to-end de datos, desde la configuración de herramientas como Jira/Xray hasta la construcción de pipelines ETL y dashboards en Power BI. Tendrás un rol clave en la automatización, explotación de datos y generación de insights para el negocio.
Responsabilidades y Funciones
- Configurar y administrar Jira y Xray (workflows, campos, esquemas, permisos).
- Implementar buenas prácticas de gobernanza y gestión de herramientas.
- Desarrollar automatizaciones en Jira (Automation for Jira).
- Diseñar y ejecutar extracción de datos desde Jira, Xray y otras fuentes vía API.
- Diseñar arquitectura de datos end-to-end (ETL → BigQuery → Power BI).
- Construir y optimizar pipelines ETL (extracción, transformación y carga).
- Gestionar datasets, tablas y consultas en BigQuery.
- Desarrollar dashboards e indicadores en Power BI.
- Asegurar calidad, consistencia y performance de los datos.
Requisitos y Habilidades
- +3 años de experiencia en ingeniería de datos o BI.
- Experiencia en configuración de Jira y herramientas como Xray.
- Conocimiento en automatización de procesos (Automation for Jira).
- Experiencia en desarrollo de pipelines ETL.
- Conocimiento en SQL y modelado de datos.
- Experiencia en BigQuery o herramientas similares.
- Experiencia en Power BI (dashboards, modelos semánticos, KPIs).
- Conocimiento en integración de APIs.
- Experiencia trabajando en entornos ágiles.
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 EncoraInformación 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 EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un DevOps Engineer Mid (20839) con experiencia en automatización, integración continua y despliegue de aplicaciones. Serás responsable de implementar y optimizar pipelines, gestionar entornos containerizados y promover prácticas de GitOps dentro de un entorno ágil.
Responsabilidades y Funciones
- Diseñar y mantener pipelines de CI/CD.
- Gestionar entornos con Docker y Kubernetes.
- Implementar prácticas de versionamiento y control de código.
- Administrar despliegues mediante herramientas como Jenkins y Argo CD.
- Promover prácticas de GitOps y automatización.
- Monitorear y optimizar procesos de integración y despliegue.
- Colaborar con equipos de desarrollo para mejorar la entrega continua.
Requisitos y Habilidades
- +3 años de experiencia en roles DevOps.
- Experiencia con Jenkins.
- Conocimiento en Docker y Kubernetes.
- Manejo de versionamiento de código (Git).
- Experiencia con Argo CD y/o Anthos.
- Conocimiento en prácticas de CI/CD y GitOps.
- Experiencia trabajando en entornos ágiles.
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 EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Frontend Software Engineer Mid (21035) con experiencia en React, enfocado en el desarrollo y mantenimiento de aplicaciones web, asegurando calidad de código, integración con servicios y cumplimiento de estándares de seguridad.
Responsabilidades y Funciones
- Desarrollar y mantener aplicaciones frontend utilizando React.
- Implementar landings y componentes web integrados con servicios backend.
- Corregir vulnerabilidades identificadas por el equipo de seguridad.
- Brindar soporte al equipo de QA en la resolución de issues.
- Generar builds para entornos de desarrollo y producción.
- Gestionar versionamiento de código mediante Git.
- Documentar soluciones y evidencias de corrección.
- Participar en reuniones de coordinación con equipos técnicos.
Requisitos y Habilidades
- +3 años de experiencia en desarrollo frontend.
- Experiencia sólida en React.
- Conocimiento en Angular (deseable).
- Conocimiento en Node.js.
- Manejo de JavaScript, CSS y SCSS.
- Experiencia en consumo e integración de APIs (REST/SOAP).
- Manejo de herramientas como Postman y Swagger.
- Conocimiento en control de versiones (Git).
- Conocimiento en buenas prácticas de seguridad web (XSS, CSRF, etc.).
- Experiencia en metodologías ágiles (Scrum).
- Conocimiento en SEO (deseable).
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 EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un QA Automation Engineer Senior (20763), responsable de asegurar la calidad del software mediante la automatización de pruebas y la implementación de estrategias de testing. Tendrás un rol clave en la mejora continua de procesos de calidad, garantizando soluciones confiables, eficientes y de alto rendimiento.
Responsabilidades y Funciones
- Diseñar, desarrollar y mantener pruebas automatizadas.
- Implementar frameworks de automatización de testing.
- Identificar, documentar y dar seguimiento a defectos.
- Colaborar con equipos de desarrollo para asegurar la calidad desde etapas tempranas.
- Ejecutar pruebas funcionales, de integración y regresión.
- Integrar pruebas dentro de pipelines CI/CD.
- Promover buenas prácticas de QA y mejora continua en procesos de testing.
- Participar en ceremonias ágiles y actividades del equipo.
Requisitos y Habilidades
- Experiencia sólida en automatización de pruebas de software.
- Conocimiento de herramientas como Selenium, Cypress u otras similares.
- Experiencia en desarrollo de scripts de automatización.
- Conocimiento del ciclo de vida de desarrollo de software (SDLC).
- Experiencia en integración de pruebas en CI/CD.
- Experiencia trabajando en entornos ágiles.
- Habilidades analíticas, atención al detalle y trabajo en equipo.
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
Founding ML Engineer (Spectrum)
Share this job
Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
Your responsibilities will include:
- Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
- Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
- Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
- Establishing MLOps practices, including orchestration, observability, and experiment tracking.
- Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
- Defining hiring criteria, growing the ML team, and shaping the ML team culture.
We expect you to have:
- A proven track record as an ML/AI Lead.
- At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
- A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with:
- Prompt engineering and LLM pipeline design, including evaluation.
- Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
- Vector databases and retrieval-augmented generation (RAG) patterns.
- Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
- Strong Python skills – Kotlin knowledge would be a plus.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would have:
- Experience with ontologies, knowledge graphs, or graph-based reasoning.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- The ability to think strategically about product-led AI, beyond just training models in isolation.
- A background in code analysis, developer tools, or software engineering research.
- Experience with multi-agent systems or complex agentic workflows.
- Actively contributed to relevant open-source projects or publications.
What we offer
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
#LI-KP1
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 AI/ML Engineer (Spectrum)
Share this job
Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.
Your responsibilities will include:
- Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
- Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
- Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
- Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.
We expect you to have:
- At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
- A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with:
- Prompt engineering and LLM pipeline design, including evaluation.
- Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
- Retrieval-augmented generation (RAG) patterns and vector databases.
- Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
- Strong Python skills – Kotlin knowledge would be a plus.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would also have:
- Experience with ontologies, knowledge graphs, or graph-based reasoning.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- A background in code analysis, developer tools, or software engineering research.
- Experience with multi-agent systems or complex agentic workflows.
- Actively contributed to relevant open-source projects or publications.
What we offer:
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
- A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
- Opportunities to publish research at top venues in collaboration with JetBrains Research.
#LI-DNI
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
Performance QA Engineer (JCP Core)
Share this job
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)
Share this job
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
Staff 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
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)
Share this job
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)
Share this job
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
Senior ML Engineer (JetBrains Research)
Share this job
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.
Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.
In this role, you will:
- Design and prototype machine learning solutions to improve the software development workflow.
- Apply existing open-source models or train custom ones as needed.
- Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
- Stay up to date with the latest advancements in applying machine learning to source code.
- Collaborate with colleagues and provide mentorship when appropriate.
We’ll be happy to have you on our team if you:
- Have experience designing machine learning systems from scratch.
- Have a background in natural language processing or code modeling.
- Have a proven track record of delivering machine learning projects.
- Know how to design reproducible ML experiments.
- Enjoy working on projects with high uncertainty.
- Are proficient in Python, Java, or Kotlin.
- Have hands-on experience with modern ML frameworks.
It would be nice if you:
- Have experience applying machine learning to programming languages.
- Have hands-on experience building and improving AI agents.
- Have experience in A/B testing and general knowledge of statistics
- Have worked with large-scale data processing pipelines
#LI-KP1
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 Research Engineer (LLM Pre-Training)
Share this job
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
Research Engineer (Agentic Models)
Share this job
At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.
We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.
You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.
As part of our team, you will:
- Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
- Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
- Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
- Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
- Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
- Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
- Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.
We’ll be happy to bring you on board if you have:
- Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
- Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
- Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
- The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
- A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
- At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.
Our ideal candidate would have experience with:
- ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
- Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
- Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
- AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
- Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
- Inference optimization and serving optimized models in production.
#LI-KP1
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 Machine Learning Engineer (IntelliJ AI)
Share this job
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.
We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.
In this role, you will:
- Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
- Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
- Experiment with contexts and lightweight models to continuously develop our ML system.
- Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
- Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
- Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
- Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
- Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.
We’d be happy to have you on our team if you:
- Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
- Have experience with LLM evaluation methods and frameworks.
- Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
- Are skilled in context-aware pipelines or conversational/agent systems.
- Have strong Python programming skills.
- Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
- Communicate clearly and effectively across teams, translating ML/AI insights into product features.
- Have prior mentorship experience with ML/evaluation engineers.
- Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.
We’d be especially thrilled if you have:
- Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
- Experience with the Kotlin programming language.
#LI-MR1
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 (Agentic Behavior – Kotlin AI Value Stream)
Share this job
At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.
The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.
As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.
As part of our team, you will:
Build tools for agentic error analysis
- Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
- Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.
Build evaluation pipelines
- Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
- Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
- Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.
Research methods for improving agent and model behavior on Kotlin
- Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
- Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
- Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
- Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.
Build public Kotlin benchmarks
- Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
- Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
- Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
- Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.
We'll be happy to have you on board if you have:
- Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
- Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
- Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
- The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
- A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
- Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).
Our ideal candidate would also have experience with:
- Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
- Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
- AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
- Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
- Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
- The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
- Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.
Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
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)
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.
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
Design/Frontend Engineer (AI Assistant for Web Testing)
Share this job
We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.
About the role:
You'll own the entire frontend and product UX, meaning you decide how the product looks, feels, and works. You'll design flows, build the UI, maintain the architecture, and set the quality bar for anything that touches the interface. Backend and AI are covered by a strong team of engineers.
Your focus in the first three months:
- Refactor backend-frontend communication and state management. The current architecture was vibecoded – you'll make it ready for feature scaling.
- Establish a clean design system from existing components.
- Ship token-by-token LLM response streaming to improve perceived performance.
- Design user onboarding from scratch.
- Build a user-friendly error system with clear resolution paths.
Why you should join us:
- Real ownership. You're not implementing someone else's Figma file. You decide how the product looks and feels.
- A small team that ships fast and skips bureaucracy. We benefit from direct feedback from users and quick iteration cycles.
- The backing of JetBrains. We are financially secure, with no reliance on external VC funding.
Who we're looking for:
A design/frontend engineer who can take a vague problem and turn it into a clear, usable, production-ready feature.
What matters most:
- Design-first thinking and UX intelligence over pixel perfection. You care more about whether something makes sense than whether it looks “pretty”.
- Strong product intuition. You notice UX friction, small paper cuts, and architectural smells – and feel responsible for fixing them.
- Prototype-and-ship mentality. You explore options quickly, consider alternatives, choose a direction, and move on.
Required experience:
Tech stack: React, TypeScript (web or desktop applications)
- Strong working knowledge of React and frontend architecture – enough to keep the codebase clean while actively using AI coding tools.
- Experience designing and implementing frontend systems end to end, not just isolated components.
- A portfolio or examples showing full ownership: projects where you designed and built the frontend yourself.
- At least one full year of experience in a startup or fast-moving team.
- Active experience with AI coding tools (Cursor, Claude Code, etc.) with a clear understanding of when they help – and when they hurt.
Nice to have:
We’d be especially excited if you have experience with any of the following (side projects count):
- Product design or product management.
- Electron or desktop app development.
- E2E testing – you’ve written tests yourself or worked closely with test automation.
- Early-stage or 0-to-1 projects where UX quality was critical.
- AI-powered products or LLM-based features.
#LI-HYBRID
#LI-KT1
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
Sales Development Representative (AI-Powered QA Automation)
Share this job
We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.
About the role:
You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.
Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.
Your focus in the first three months:
- Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
- Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
- Design qualification gates (forms and scoring) to filter leads before the founder calls.
- Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
- Document what works into a repeatable playbook.
Growth path:
This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).
Why to join:
- You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
- Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
- AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
- We’re backed by JetBrains – financially secure with no reliance on external VC funding.
Who we're looking for:
You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit.
The ideal candidate will:
- Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
- Have proven cold outbound results, instead of being dependent on warm inbound.
- Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
- Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.
Nice to have:
- A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
- Exposure to security/compliance objections – enough to pre-empt and route.
- Content skills – your LinkedIn posts get engagement, not just your DMs.
- Experience as one of the first 10 employees at a startup.
#LI-REMOTE
#LI-KT1
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