Negotiable
Undetermined
Undetermined
London, England, United Kingdom
Summary: The role of Senior DevOps Engineer involves supporting the deployment and infrastructure of a high-performance compute platform, focusing on secure and efficient access to resources in an on-premise datacenter. The engineer will collaborate with teams to implement infrastructure-as-code, manage secure access, and contribute to system security and monitoring. This position offers opportunities to work on advanced projects within a motivated team. The role is based in London, England, United Kingdom.
Key Responsibilities:
- Implement and maintain infrastructure-as-code using tools like Terraform and Ansible
- Develop and manage secure access and identity controls, particularly using AWS IAM and related services
- Support deployment of internal services with HTTPS, secrets management, and authentication tooling
- Contribute to the configuration and monitoring of HPC systems and related services
- Design and support centralized log collection and syslog forwarding for the compute cluster
- Collaborate with software and infrastructure teams to ensure reliable compute access for researchers
Key Skills:
- Strong understanding of infrastructure automation tools such as Terraform and Ansible
- Experience working with AWS, including VPCs, EC2, IAM, and related services
- Familiarity with secure service deployment practices including TLS/HTTPS and secrets management (e.g. Vault)
- Experience with centralized logging (e.g. syslog, journald, log forwarders, ELK, or Loki/Promtail)
- Comfort working in Linux environments and automating common administrative tasks
- Knowledge of CI/CD tools (GitLab, GitHub Actions, etc.) and modern DevOps workflows
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
We are looking for a DevOps Engineer to support the deployment and infrastructure of our high-performance compute platform. This role focuses on the implementation of tooling and infrastructure to support secure, reliable, and efficient access to compute resources in an on-premise datacenter environment. You will work closely with engineers and researchers to implement solutions around deployment, configuration management, and system security.
Responsibilities
- Implement and maintain infrastructure-as-code using tools like Terraform and Ansible
- Develop and manage secure access and identity controls, particularly using AWS IAM and related services
- Support deployment of internal services with HTTPS, secrets management, and authentication tooling
- Contribute to the configuration and monitoring of HPC systems and related services
- Design and support centralized log collection and syslog forwarding for the compute cluster
- Collaborate with software and infrastructure teams to ensure reliable compute access for researchers
Requirements
- Strong understanding of infrastructure automation tools such as Terraform and Ansible
- Experience working with AWS, including VPCs, EC2, IAM, and related services
- Familiarity with secure service deployment practices including TLS/HTTPS and secrets management (e.g. Vault)
- Experience with centralized logging (e.g. syslog, journald, log forwarders, ELK, or Loki/Promtail)
- Comfort working in Linux environments and automating common administrative tasks
- Knowledge of CI/CD tools (GitLab, GitHub Actions, etc.) and modern DevOps workflows
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive daily rate
- Flexible schedule
- 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.