DevOps Architect

Role/Job title: DevOps Lead/Architect

Work Location: London

Role type: Contract InsideIR35

Mode of working: Hybrid (3 days per week)

Duration of assignment: 6 months

Your responsibilities:

• Architect, implement, and maintain observability platforms using Datadog and Geneos to ensure comprehensive monitoring and alerting.
• Design and manage scalable infrastructure using Terraform and Infrastructure as Code (IaC) principles.
• Champion GitOps methodologies using GitLab for CI/CD, configuration management, and deployment automation.
• Collaborate with engineering teams to embed reliability, scalability, and performance into the software development lifecycle.
• Collaborate with software developers across multiple geographies and cross-functional teams to understand project objectives, gather requirements, and deliver systems and software within agreed upon timelines.
• Optimize alerting strategies to reduce noise and improve actionable insights.
• Mentor junior engineers and contribute to the evolution of SRE best practices.
• Oversee and continuously optimize cloud cost management strategies for our Observability infrastructure in line with Cloud FinOps principles.
• Collaborate with executive leadership and cross-functional stakeholders to align infrastructure strategy with long-term business objectives.
• Lead incident response, perform root cause analysis, and drive continuous improvement through blameless post-mortems.
• Ensure code is up-to-date, maintainable, scalable, and secure.
• Stay updated on industry best practices and emerging technologies in Observability, DevOps and Cloud.

Your Profile

Essential skills/knowledge/experience:

• Strong hands-on experience with AWS cloud services: EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, EKS, ECS
• Strong hands-on expertise in Infrastructure as Code (IaC) using Terraform.
• Deep knowledge and hands-on experience with CI/CD tools (e.g., GitLab CI, Jenkins, etc.) for Java and Python based Microservices-style architectures.
• Deep expertise in Datadog for metrics, logs, traces, and dashboards.
• Proficiency with Geneos for real-time monitoring and alerting.
• Solid understanding of GitLab and GitOps workflows.
• Strong scripting and automation skills (e.g., Python, Bash).
• Solid understanding of Linux systems, networking, and distributed systems.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Excellent problem-solving skills and ability to work collaboratively.

Desirable skills/knowledge/experience: (As applicable)

• AWS Certifications such as AWS Certified Solutions Architect, Certified DevOps Engineer or equivalent.
• Familiarity with SLOs, SLIs, and error budgets.
• Experience with multi-cloud or hybrid cloud environments.
• Knowledge of ITIL or SRE frameworks and methodologies.
• Experience working in a regulated or high-availability environment (e.g., fintech, financial services or capital markets).