GCP Jobs in Lima.
All active GCP 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.
Important Information
Experience: +6 years
Job Mode: Full-time
Work Mode: Remote
ID: OPP00051-1
Responsibilities and Duties
- Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems;
- Raise and discuss trade-offs of different design approaches elaborating detailed design documents;
- Implement solution from coding to testing to production deployment support;
- Follow agile processes and participate actively in all development phases.
Essential Skills
- Experience with Golang (Go) programming language;
- Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based);
- Experience on Cloud Service Orchestration;
- Experience with Cloud Development;
- Experience with backend systems development;
- Proven proficiency with object-oriented software development;
- Proven experience on complex architectural design for cloud-based applications;
- Design Patterns;
- Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra.
Highly Desirable Skills
- Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java;
- Knowledge on testing (Unit Test, Feature Test, Integration);
- Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure;
- Experience working with Kubernetes and OpenShift;
- Exposure to and/or experience with Serverless applications;
- An understanding of software design patterns, pipeline automation and software testing principles and methodologies;
- Familiar with designing, coding, deploying and debugging microservices applications;
- Strong Scripting and automation skills;
- Passionate about solving problems in code;
- Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools;
- Comfortable with Linux Environment and shell scripting.
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraLead 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 OnlyPlease note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in Cyprus.
Who We Are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you will do at Axi!
We are looking for a Technical Business Analyst who will play a key role within the Operations, Governance, and Control team by gathering, analysing, and documenting data requirements to support the delivery of a centralised, self-service data platform across all business divisions, while assuming responsibility for existing data reporting and operational support activities. The role will have significant responsibility within the Data Strategy initiatives, including leading the end-to-end migration, reconciliation, and validation of five critical data domains to ensure business reporting requirements are successfully transitioned and aligned with business needs. In parallel, the position will contribute to foundational Data Strategy enablers, such as Master Data Management (MDM), data lineage, data cataloguing, and governance artefacts - essential to achieving sustainable, scalable, and compliant self-service analytics. The Technical Business Analyst will also produce high-quality documentation and actionable reports and dashboards to support informed, data-driven decision-making across program teams and senior leadership. This is a hybrid opportunity of working 2 days from office & 3 days from home & shift starting from 7AM.
Your EDGE Assignment/You Will
- Gather, analyse, and document data and reporting requirements across business divisions to support delivery of a centralised, self-service data platform.
- Collaborate with business stakeholders, data engineering, and tech ops teams to translate business needs into clear, traceable technical specifications, user stories, and acceptance criteria, using Jira and Azure DevOps, ensuring alignment with agile delivery cycles.
- Lead requirements, planning, and validation activities for the end-to-end migration, reconciliation, and testing of five critical data domains, ensuring reporting continuity and alignment with business needs.
- Maintain ownership of existing data reporting and operational support activities, promptly identifying and resolving reporting or data quality issues.
- Document current and future state processes, data flows, and governance standards, ensuring clear, accessible, and version-controlled documentation.
- Contribute to foundational Data Strategy initiatives, including Master Data Management (MDM), data lineage, data cataloguing, and governance artefact development.
- Ensure all data initiatives align with organisational data governance, security, privacy, and compliance requirements.
- Support testing and validation activities, including UAT preparation, issue tracking, and verification of migrated and newly developed data solutions.
- Monitor project progress, dependencies, and risks, proactively escalating issues and recommending solutions to maintain delivery timelines.
- Prepare and present high-quality reports and dashboards using Power BI (proficient in DAX and SQL) to provide actionable insights for program teams and senior leadership.
- Demonstrate flexibility to support team priorities as needed, readily pivoting to assist across tasks and initiatives.
- Take accountability and ownership for deliverables, working independently without close supervision while actively collaborating and contributing to team success.
Are you the one?
-
10+ years of experience as a Technical Business Analyst, preferably in data-driven and product-based environments.
-
Strong hands-on experience with Power BI and DAX, including building dashboards, reporting solutions, and translating business insights into actionable data.
-
Proficiency in Databricks and SQL for data analysis, querying, and supporting analytics and reporting initiatives.
- Hands-on experience using Confluence for documentation, collaboration, and knowledge management.
-
Demonstrated expertise in technical documentation, including requirement gathering, user stories, process flows, and functional specifications.
-
Experience leading UAT activities, coordinating with stakeholders, and ensuring successful delivery of business outcomes.
-
Solid knowledge of data governance and data management practices, including MDM, RBAC/ABAC, PII compliance, data lineage, and cataloging.
-
Excellent communication and stakeholder management skills, with the ability to collaborate across technical and non-technical teams.
-
Strong documentation, analytical thinking, and problem-solving abilities.
-
Proven ability to manage multiple priorities, deliver in fast-paced environments, and work independently.
Nice to Have
-
- Exposure to cloud platforms such as AWS and GCP.
- Experience working in the trading, financial services, or fintech domain.
- Understanding of trading platforms such as MetaQuotes and related ecosystems.
- Strong teamwork, collaboration, and time management skills.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- Private Health insurance for employees.
- 21 days of annual leave per year, additional study, volunteer and sick leave applies.
- Team-building experiences and corporate parties.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Technical Interview 1 (1 hour)
- Cultural Fit Interview (30 minutes)
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.
At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Ready to apply?
Apply to AxiImportant Information
Location: Brazil
Job Mode: Full-time
Work Mode: Work from home
Responsibilities and Duties
- Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems;
- Raise and discuss trade-offs of different design approaches elaborating detailed design documents;
- Implement solution from coding to testing to production deployment support;
- Follow agile processes and participate actively in all development phases.
Essential Skills
- Experience with Golang (Go) programming language;
- Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based);
- Experience on Cloud Service Orchestration;
- Experience with Cloud Development;
- Experience with backend systems development;
- Proven proficiency with object-oriented software development;
- Proven experience on complex architectural design for cloud-based applications;
- Design Patterns;
- Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra.
Highly Desirable Skills
- Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java;
- Knowledge on testing (Unit Test, Feature Test, Integration);
- Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure;
- Experience working with Kubernetes and OpenShift;
- Exposure to and/or experience with Serverless applications;
- An understanding of software design patterns, pipeline automation and software testing principles and methodologies;
- Familiar with designing, coding, deploying and debugging microservices applications;
- Strong Scripting and automation skills;
- Passionate about solving problems in code;
- Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools;
- Comfortable with Linux Environment and shell scripting.
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to Encora
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
Información Importante
Ubicación: Perú
Modalidad de trabajo: Hibrido - 1 a 2 veces por semana en Miraflores. Apto para residentes fuera de Lima con disponibilidad de acceso cuando se requiera.
Resumen del puesto
Buscamos un/a QA Engineer (21166) con experiencia en entornos bancarios para asegurar la calidad de aplicaciones digitales (web y mobile) mediante la ejecución de pruebas funcionales, automatización y validaciones de performance. La persona será responsable de garantizar la estabilidad, seguridad y correcto funcionamiento de soluciones orientadas a banca digital, trabajando de forma colaborativa con equipos de desarrollo y negocio.
Responsabilidades y Funciones
-
Ejecutar pruebas funcionales, de regresión y pruebas de aceptación de usuario (UAT).
-
Diseñar, documentar y mantener casos de prueba manuales y automatizados.
-
Participar en la automatización de pruebas y mejora continua de procesos QA.
-
Realizar pruebas de performance utilizando herramientas como JMeter.
-
Ejecutar pruebas de APIs y validar integraciones entre sistemas.
-
Identificar, registrar, hacer seguimiento y validar la corrección de defectos.
Requisitos y Habilidades
-
+4 años de experiencia profesional como QA
-
+2 años de experiencia en automatización de pruebas.
-
2 a 4 años de experiencia en pruebas funcionales, regresión y UAT.
-
2 años de experiencia en banca o proyectos relacionados (banca digital, créditos, ahorros).
-
Certificación ISTQB Foundation.
-
Experiencia en pruebas de performance con JMeter.
-
Experiencia en API Testing.Manejo de Jira y Xray.
-
Experiencia en gestión de defectos.
-
Conocimiento de métricas de calidad.
-
Nivel intermedio en bases de datos (DB2 / SQL Server).
-
Experiencia con Git.
Deseables:
- Conocimiento de BanTotal.
- Experiencia con herramientas de análisis de código y seguridad (SonarQube, Veracode).
- Conocimientos en GCP.
- Conocimiento de ESB.
Acerca de Encora
Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.
En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.
Ready to apply?
Apply to EncoraSenior 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 OnlyInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Java Developer Senior (21031) responsable de diseñar, desarrollar y liderar la implementación de soluciones backend escalables y de alto rendimiento. Tendrás un rol clave en decisiones técnicas, arquitectura y mejora continua de sistemas dentro de un entorno ágil.
Responsabilidades y Funciones
- Diseñar y desarrollar servicios backend utilizando Java y Spring Boot.
- Definir e implementar arquitecturas basadas en microservicios.
- Diseñar e integrar APIs REST seguras y eficientes.
- Optimizar consultas y gestión de bases de datos.
- Liderar decisiones técnicas y buenas prácticas de desarrollo.
- Realizar code reviews y mentoring a desarrolladores del equipo.
- Gestionar despliegues y soporte en entornos productivos.
- Identificar mejoras de performance, escalabilidad y seguridad.
Requisitos y Habilidades
- +5 años de experiencia en desarrollo backend con Java.
- Experiencia sólida con Spring Boot y ecosistema Spring.
- Experiencia en arquitecturas de microservicios.
- Dominio de APIs REST y patrones de integración.
- Experiencia con bases de datos SQL (optimización y modelado).
- Conocimiento en herramientas de versionamiento (Git).
- Experiencia con contenedores (Docker, Kubernetes es un plus).
- Experiencia en entornos cloud (AWS, Azure o GCP es un plus).
- Experiencia trabajando en metodologías 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 Líder Técnico en Ciberseguridad (20786) con experiencia en CyberSOC, SIEM y respuesta a incidentes. Tendrás un rol clave en la evaluación de la postura de seguridad, gestión de proveedores y liderazgo de iniciativas estratégicas. Este es un perfil híbrido técnico–estratégico, con alta capacidad de coordinación transversal y toma de decisiones.
Responsabilidades y Funciones
- Liderar la defensa y respuesta ante incidentes de seguridad.
- Gestionar servicios CyberSOC / SIEM (renovación, continuidad y cumplimiento).
- Evaluar la postura de seguridad bajo frameworks como NIST y SOC-CMM.
- Participar en procesos de licitación y evaluación de proveedores de seguridad.
- Integrar nuevas fuentes de monitoreo al SIEM.
- Gestionar la seguridad en entornos cloud (Azure, GCP).
- Administrar la gestión de vulnerabilidades.
- Elaborar presentaciones y comunicación ejecutiva para stakeholders.
Requisitos y Habilidades
- Experiencia en CyberSOC, SIEM, monitoreo y detección de amenazas.
- Conocimiento en seguridad perimetral (Firewalls, VPN, WAF).
- Experiencia en gestión de accesos privilegiados (PAM).
- Conocimiento en Cloud Security (Azure, GCP).
- Experiencia en integración de logs y definición de casos de uso.
- Experiencia en gestión de vulnerabilidades.
- Conocimiento de frameworks de ciberseguridad (NIST, SOC-CMM).
- Habilidades de liderazgo, comunicación y toma de decisiones.
- 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 Encora
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
Clinical Research Coordinator II
Share this job
About Care Access
Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.
With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.
To learn more about Care Access, visit www.CareAccess.com.
How This Role Makes a Difference
The Clinical Research Coordinator’s primary responsibilities are to utilize Good Clinical Practices (GCP)s in the process of screening, enrolling and closely monitoring clinical research study subjects while ensuring protocol and regulatory compliance.
How You'll Make An Impact
- Duties include but not limited to:
-
Ability to understand and follow institutional SOPs.
- Review and assess protocol (including amendments) for clarity, logistical feasibility
- Ensure that all training and study requirements are met prior to trial conduct.
- Discuss study medication, required procedures, eligibility criteria and impact on office flow with Investigator and site staff.
- Assist with planning and creation of appropriate recruitment materials
- Assist in development of recruitment plan and obtain listing of potential candidates to contact from subject database.
- Actively work with recruitment team in calling and recruiting subjects
- Attend Investigator meetings as required.
- Coordinate and attend pre-study site visits, site initiation visits, and monitor visits with clinical staff and Sponsor/CRO representatives.
- Assist in the creation and review of source documents.
- Ensure adequate supplies have arrived on site for protocol initiation (lab kits, study medication, specialized equipment, IVRS/EDC access and passwords)
-
- Study Management
- Prioritize activities with specific regard to protocol timelines
- Maintain adherence to FDA regulations and ICH guidelines in all aspects of conducting clinical trials
- Maintain effective relationships with study participants and other care Access Research personnel.
- Interact in a positive, professional manner with patients, sponsor representatives, investigators and Care Access Research personnel and management.
- Communicate clearly verbally and in writing.
- Patient Coordination
- Prescreen study candidates
- Obtain informed consent per Care Access Research SOP
- Complete visit procedures in accordance with protocol.
- Train others and complete basic clinical procedures, such as blood draws, vital signs, ECGs, etc.
- Review laboratory results, ECGs, and other test results (e.g., MRIs) for completeness and alert values, ensuring investigator review in a timely fashion.
- Identify adverse events (AEs) and Serious Adverse Events (SAEs) and promptly notify Principal Investigator and Sponsor (where appropriate)
- Documentation
- Record data legibly and enter in real time on paper or e-source documents
- Accurately record study medication inventory, medication dispensation, and patient compliance.
- Resolve data management queries and correct source data within sponsor provided timelines
- Assist regulatory personnel with completion and filing of regulatory documents.
- Perform other duties as assigned. The duties and responsibilities listed above are representative of the nature and level of work assigned and are not necessarily all-inclusive.
The Expertise Required
- Excellent working knowledge of medical and research terminology
- Excellent working knowledge of federal regulations, good clinical practices (GCP)
- Ability to communicate and work effectively with a diverse team of professionals.
- Strong organizational, prioritization and leadership skills and capabilities with a strong attention to detail
- Strong computer skills with demonstrated abilities using clinical trials database, IVR systems, electronic data capture, MS word and excel.
- Critical thinker and problem solver
- Friendly, outgoing personality; maintain a positive attitude under pressure.
- High level of self-motivation and energy
- Excellent professional writing and communication skills
- Ability to work independently in a fast-paced environment with minimal supervision.
- Bachelor’s Degree preferred, or equivalent combination of education, training and experience.
- A minimum of 3 years prior Clinical Research Coordinator experience required
- Prefer 1 year of experience as a Care Access Research Clinical Research Coordinator
- Recent phlebotomy experience required
- Bilingual in Spanish-preferred
How We Work Together
- Location: This is an on-site position with regional commute requirements. Position requires onsite work 5 days per week at the Santa Clarita, CA clinic.
- Travel: Regularly planned travel within the region will be required as part of the role.
- Physical demands associated with this position Include: The ability to use keyboards and other computer equipment.
The expected salary range for this role is $60,000 - $90,000 USD per year for full time team members.
Benefits & Perks (US Full Time Employees)
- Paid Time Off (PTO) and Company Paid Holidays
- 100% Employer paid medical, dental, and vision insurance plan options
- Health Savings Account and Flexible Spending Accounts
- Bi-weekly HSA employer contribution
- Company paid Short-Term Disability and Long-Term Disability
- 401(k) Retirement Plan, with Company Match
Diversity & Inclusion
We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, 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.
Care Access is unable to sponsor work visas at this time.
If you need an accommodation to apply for a role with Care Access, please reach out to: TalentAcquisition@careaccess.com
Mandatory Employer Disclosures:
Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction.
Notice to Connecticut applicants: Care Access may require applicants to submit to a urinalysis drug test in connection with an application for employment.
Notice to Arizona, Georgia, Indiana, and North Dakota applicants: Care Access complies with applicable laws prohibiting smoking in and around places of employment.
Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Notice to Rhode Island applicants: Care Access complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. Care Access is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws.
Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.
Ready to apply?
Apply to Care Access
Security Engineer, Identity and Access Management (IAM)
Share this job
At JetBrains, code is our passion. Since 2000, we’ve focused on helping developers work faster by automating routine checks and fixes. Our tools are used by over 12.5 million people worldwide, including eighty-eight Fortune Global 100 companies.
We are seeking a detail-oriented IAM Security Specialist to lead the integration, support, and governance of our identity ecosystem. You will be the bridge between technical implementation and security compliance, ensuring that every identity, whether human or machine, has exactly the permissions it needs and nothing more. Your focus will be on building scalable RBAC models and maintaining a rigorous access review cycle.
Key responsibilities
System integration and support:
- Lead the technical integration of new applications and services into our centralized IAM platform.
- Provide expert support for complex authentication/authorization issues and serve as a technical escalation point.
- Maintain and optimize IAM infrastructure, including SSO (SAML, OAuth 2.0, OIDC), MFA, and PAM solutions.
Access governance and permission reviews:
- Execute and oversee periodic access re-certifications, ensuring compliance across periodic audit cycles (SOC 2).
- Conduct detailed permission reviews for individuals and system integrations to enforce the Principle of Least Privilege (PoLP).
RBAC and ABAC modeling:
- Design, document, and implement Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks across a wide range of systems.
- Partner with cross-functional teams (IT, Product, HR) to define business roles and translate them into technical entitlements.
Required skills and experience
- 3+ years of professional experience focused on Identity and Access Management (IAM) engineering or architecture.
- Proven experience administering enterprise IAM solutions and integrating them with diverse systems (e.g., Okta, Auth0, Ping Identity, Microsoft Entra ID).
- Scripting and automation skills using a scripting language such as Python, Go, Bash, or PowerShell.
- Familiarity with cloud IAM solutions (e.g., AWS IAM, GCP IAM).
- Solid understanding of networking, security protocols, and SSO technologies and standards, including SAML, OAuth 2.0, and OIDC.
Preferred qualifications
- Experience in the software development industry, particularly with managing access to source code repositories (Git/GitHub/GitLab) and CI/CD tools (TeamCity, GitLab CI).
- Hands-on experience with Privileged Access Management (PAM) concepts and tools.
- Knowledge of Zero Trust Architecture (ZTA) principles and how to apply them to developer workflows.
- Security certifications (e.g., CISSP, CISA, relevant vendor certifications).
- Familiarity with compliance frameworks relevant to software vendors (SOC 2).
Why join JetBrains?
JetBrains provides a highly technical and intellectually stimulating environment. You'll work on identity and access management systems used by millions of developers, with the opportunity to work with cutting-edge technologies every day. Help us keep our tools and systems secure.
We offer:
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family.
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
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
Research Engineer (LLM Training and Performance)
Share this job
At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We’re looking for a Research Engineer who will own the training stack and model architecture for our Mellum LLM family. Your job is easier said than done: make training faster, cheaper, and more stable at a large scale. You’ll profile, design, and implement changes to the training pipeline – from architecture to custom GPU kernels, as needed.
As part of our team, you will:
- Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
- Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
- Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
- Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream when possible.
- Push memory/perf levers: FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, NCCL tuning.
- Harden large runs by building elastic and fault-tolerant training setups, ensuring robust checkpointing, strengthening reproducibility, and improving resilience to preemption.
- Keep the data path fast using streaming and sharded data loaders and tokenizer pipelines, as well as improve overall throughput and cache efficiency.
- Define the right metrics, build dashboards, and deliver steady improvements.
- Run both pre-training and post-training (including SFT, RLHF, and GRPO-style methods) efficiently across sizable clusters.
We’ll be happy to bring you on board if you have:
- Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
- Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
- Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
- GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
- A solid understanding of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and how they show up in traces.
Our ideal candidate would have experience with:
- FlashAttention-2 and 3, CUTLASS and CuTe, TransformerEngine and FP8, Inductor, AOTAutograd, and torch.compile.
- MoE at scale (expert parallel, router losses, capacity management) and long-context tricks (ALiBi/YaRN/NTK scaling).
- Kubernetes or SLURM at scale, placement and affinity tuning, as well as AWS, GCP, and Azure GPU fleets.
- Web-scale data plumbing (streaming datasets, Parquet and TFRecord, tokenizer perf), eval harnesses, and benchmarking.
- Safety and post-training methods, such as DPO, ORPO, GRPO, and reward models.
- Inference ecosystems such as vLLM and paged KV.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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