Senior Platform Engineer

Grid Dynamics; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Bleeding-edge projects

Motivated team

Competitive salary

Flexible schedule

Professional development

Resumo da oferta

Grid Dynamics is seeking an engineer with strong Platform Engineering and backend microservices experience. You will design, build, and deploy scalable microservices on Kubernetes, while ensuring secure API design and distributed system resilience.

The role focuses on REST/gRPC APIs, cloud-native deployments, and close collaboration with data teams to enable robust data pipelines and processing workflows.

Qualificações

• Proficient Python with production-grade backend code experience.
• Hands-on Kubernetes, Docker and cloud-native tooling for large-scale deployments.
• Strong understanding of distributed system design and data management.
• Experience designing REST and gRPC APIs with modern identity standards (OAuth2/OIDC/JWT).
• Familiar with fault tolerance, performance tuning, and data pipeline integration.

Responsabilidades

• Design, build, and maintain scalable microservices using Kubernetes and containerized workflows.
• Develop clean, secure REST and gRPC APIs with distributed backend systems integration.
• Implement robust authentication/authorization with OAuth2, OIDC, and JWT.
• Architect systems for high availability, performance, and fault tolerance.
• Collaborate with data teams to align backend services with data pipelines and processing.

Conhecimentos

Python

Kubernetes

Docker

Distributed systems

REST/gRPC APIs

OAuth2/OIDC/JWT

Ferramentas

Kubernetes

Docker

Cloud-native tooling

Descrição da oferta de emprego

We are looking for an engineer with strong Platform Engineering and backend microservices experience. The ideal candidate has hands-on experience developing and deploying microservices to Kubernetes and possesses a solid understanding of distributed system design.

Working hours: overlap of 3-4 hours with PT zone

Responsibilities

• Design, build, and maintain scalable microservices, leveraging Kubernetes and containerized workflows to automate and streamline cloud-native application deployments.
• Build clean, secure, and performant REST and gRPC APIs while managing integration across distributed backend systems and external platforms.
• Implement robust authentication and authorization frameworks using OAuth2, JWT, and OIDC to ensure secure access across all services.
• Architecturalize systems for high availability, performance, and fault tolerance by applying proven resilience patterns, efficient database strategies (SQL/NoSQL), and scalability principles.
• Collaborate with data teams to design backend services that seamlessly connect with data engineering workflows, pipelines, and distributed processing systems.

Requirements

• Strong proficiency in Python with a proven track record of writing clean, production-ready, and maintainable backend code.
• Hands-on experience with Kubernetes, Docker, and cloud-native tools for deploying and managing containerized applications at scale.
• In-depth understanding of distributed system architecture, including database design and optimization across SQL and/or NoSQL platforms.
• Practical experience designing APIs (REST/gRPC) and implementing modern identity management standards (OAuth2, OIDC, JWT).
• Demonstrated understanding of fault-tolerance patterns, performance tuning, and integrating backend platforms with data engineering/pipeline workflows.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Professional development opportunities

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.