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Senior DevOps Engineer

Summary

Design and manage secure, scalable AWS cloud infrastructure using IaC and CI/CD, while integrating AI tools to automate workflows and maintain observability.

The DevOps Engineer will leverage leading AI models to design, implement, and manage scalable, secure, and reliable cloud infrastructure.

Responsibilitie

  • sDesign, implement, and manage scalable, secure, and reliable cloud infrastructure using AWS services
  • .Own the technical design of infrastructure components - produce architecture decision records (ADRs) and present trade-offs to stakeholders
  • .Use AI-assisted coding tools (e.g., Kiro, Copilot, or similar) to accelerate infrastructure development, code review, and troubleshooting
  • .Collaborate with software engineers, QA engineers, and Project Managers to ensure seamless integration and deployment of applications
  • .Implement and manage CI/CD pipelines to streamline the software development lifecycle and ensure rapid, reliable releases
  • .Setup observability to monitor system performance, availability/issues, and implement solutions to address the findings
  • .Ensure security best practices are followed and implement necessary measures to protect cloud infrastructure and applications
  • .Participate in agile ceremonies and contribute to an agile mindset within the team
  • .Maintain detailed documentation of infrastructure, processes, and configurations
  • .Assist in upskilling other team members of the team
  • .Author and maintain AI agent steering files, skills, and prompts that encode team standards and automate repetitive DevOps workflows
  • .Validate AI-generated code against the same quality gates as human-written code (SAST, SCA, secret scanning, peer review) — no exceptions for AI output
  • .Contribute to the continuous improvement of AI-driven workflows, identifying opportunities where agents or automation can reduce toil

Qualificatio

  • ns7+ years of hands‑on DevOps/Platform Engineering experience, with at least 2 years focused on AWS or equivalent cloud platform
  • s.Proven experience as a Senior DevOps Engineer, preferably in the finance secto
  • r.Strong understanding of AWS services and hands‑on experience with Infrastructure as Code (IaC), particularly using AWS CD
  • K.Proficiency in Python for infrastructure automation and AWS CDK developmen
  • t.Experience with CI/CD tools and relevant programming frameworks (e.g., GitLab CI/CD, Python or equivalent
  • ).Fluent in containerisation and orchestration tools (e.g., Docker, Kubernetes
  • ).Experience with Helm Charts for managing Kubernetes clusters (EKS
  • .Experience with OpenTelemetry and the LGTM stack of observability tool
  • s.Experience working in agile environments and a strong agile mindse
  • t.Attention to detail and the ability to work under pressure without being distracted by complexit
  • y.Excellent problem‑solving skills and the ability to think critically and creativel
  • y.Strong collaboration skills and the ability to communicate effectively with team members and stakeholder
  • s.Passion for automation and a commitment to maintaining high standards of infrastructure managemen
  • t.Comfortable working with AI‑assisted development tools (e.g., AI code assistants, LLM‑based agents) and willing to learn prompt engineering techniques to improve their effectivenes
  • s.Awareness of responsible AI usage in enterprise environments — understanding that AI output requires human review, must not be trusted with secrets or PII, and must pass through standard security gate

Required Ski

  • llsStrong communication skills, both written and verb
  • al.Proficiency in AWS services and Infrastructure as Code (IaC) using AWS C
  • DK.Strong understanding of CI/CD pipelines and too
  • ls.Experience with containerisation and orchestration tools (e.g., Docker, Kubernete
  • s).Familiarity with version control systems (e.g., Git) and backlog management tools (e.g., JIR
  • A).Ability to write clear and concise documentati
  • on.Ability to work effectively as part of a team and independently when requir
  • ed.Willingness to adopt AI-assisted workflows and contribute to their refinement — including writing structured prompts, reviewing AI-generated infrastructure code, and encoding team knowledge into reusable automation (steering files, agent skills, hook

Preferred Sk

  • illsExperience with AI-assisted development to
  • ols.Knowledge of prompt engineering techniq

See also

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