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 ProfileEssential 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).
Seniority level
Mid‐Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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