Senior DevOps Engineer

About the Role

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

s.
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

s).
Preferred Sk

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