We are looking for an engineer with Platform Engineering and backend microservices experience. The ideal candidate should have hands-on experience developing and deploying microservices to Kubernetes and a solid understanding of distributed systems. The primary programming language is Python.
Essential functions
- Design, develop, and deploy cloud-native applications and microservices.
- Work on Platform Engineering initiatives and application deployment.
- Deploy and operate containerized applications in Kubernetes environments.
- Contribute to system design, including API architecture, scalability, performance, fault tolerance, and resilience.
- Integrate backend services with data pipelines and data processing systems.
Qualifications
- Strong programming skills in Python.
- Hands-on experience with Kubernetes and containerized application deployment.
- Experience with Platform Engineering and cloud-native environments.
- Experience designing and developing microservices is preferred.
- Strong understanding of system design, including:
- SQL and/or NoSQL databases
- REST and/or gRPC APIs
- Authentication and authorization (OAuth2, JWT, OIDC)
- Scalability and performance optimization
- Fault tolerance and resilience patterns
- Understanding of data engineering workflows and how backend services integrate with data pipelines and processing systems.
- Availability to join evening calls (till 21:00)
- English level: Upper Intermediate or higher
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
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.