We are looking for a DevOps Engineer to join a team responsible for building and maintaining platforms that collect and process logs and metrics from edge devices, mobile applications, and cloud services.

In this role, you will help ensure system reliability and observability across large-scale distributed systems while contributing to the migration of existing infrastructure to modern cloud-native platforms.

You will work closely with engineering teams to improve monitoring, automate infrastructure processes, and enhance the reliability of internal platforms used across the organisation.

What You’ll Do

• Maintain and improve platforms used to collect and monitor logs and metrics from distributed systems
• Support migration of infrastructure and services to modern cloud platforms
• Build and maintain automation and infrastructure-as-code solutions
• Improve system reliability, monitoring, and operational processes
• Support internal users of monitoring and visibility platforms
• Participate in the on-call rotation
• Create and maintain technical documentation, runbooks, and SLOs
• Collect feedback from internal teams to continuously improve platform capabilities

Tech Stack

• Cloud: GCP / AWS / Azure
• Languages & scripting: Python, Go, Bash
• Containers: Docker
• Orchestration: Kubernetes
• Infrastructure as Code: Terraform
• CI/CD: Jenkins, Google Cloud Build
• Platforms & services: Apache Aurora, Apache Mesos, Apache Zookeeper, HashiCorp Vault
• Networking: Cloud networking, BGP, VPC
• Monitoring & observability: ELK stack, Prometheus

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 1.5+ years of experience in DevOps, SRE, or a similar role
• Strong experience with Linux and open-source environments
• Working knowledge of Python and/or Go
• Experience with containerization technologies (Docker, Kubernetes)
• Experience building or maintaining CI/CD pipelines
• Experience with monitoring tools (ELK, Prometheus)
• Strong organisational and communication skills
• Experience automating operational processes

Nice to Have

• Experience writing technical documentation or runbooks
• Experience with Terraform or other infrastructure-as-code tools
• Experience building observability or monitoring platforms
• Familiarity with large-scale distributed systems

Why Join This Project

• Work on large-scale infrastructure and observability platforms
• Participate in a complex migration to modern cloud-native infrastructure
• Opportunity to improve and influence infrastructure processes
• Collaborate with experienced engineers in a high engineering culture

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.