Senior DevOps Engineer

Primary Responsibilities:

• DevOps & AWS Platform Engineering (Core)
  • Design, build, and maintain CI/CD pipelines using GitHub Actions for AWS-based application deployments
  • Operate and enhance Kubernetes platforms running on AWS, supporting scalable and secure workloads
  • Design and manage AWS cloud infrastructure including compute, networking, identity, and security constructs
  • Implement and maintain Infrastructure as Code to ensure consistent and repeatable AWS environments
  • Improve deployment strategies, rollout safety, observability, and developer self-service capabilities
  • Drive automation to reduce manual effort and platform maintenance overhead
• AI Builder & Intelligent Automation (Primary Focus)
  • Design and build AI-powered DevOps and platform workflows, such as:
    • AI-assisted CI/CD pipeline troubleshooting and failure analysis
    • Intelligent release validation and deployment risk analysis
    • Automated environment health checks and remediation
    • AI-enabled developer productivity tools integrated into workflows
  • Integrate LLMs or AI services into CI/CD, operational tooling, and cloud workflows
  • Partner with data and ML teams to operationalise AI/ML workloads on AWS and Kubernetes
  • Define guardrails and best practices for secure, responsible use of AI-driven automation
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Security & Compliance Enablement
  • Solid hands-on experience with AWS in production environments 
  • Experience in DevOps or platform engineering roles
  • Experience building and maintaining CI/CD pipelines at scale
  • Experience designing or integrating AI-enabled automation into engineering or delivery processes
  • Experience with Infrastructure as Code tools (e.g., Terraform)
  • Experience deploying or supporting AI/ML inference services on AWS
  • Hands-on experience with Kubernetes and containerised workloads on AWS
  • Exposure to site reliability engineering, observability, or production operations
  • Knowledge of GitOps, continuous testing, or advanced deployment strategies
  • Familiarity with LLMs, AI platforms, or ML workflows in enterprise settings
  • Solid scripting or programming skills used to automate cloud and DevOps workflows
  • Proven ability to work across engineering, data, and security teams with clear communication
  • Proven ability to embed security scans, policy enforcement, and compliance controls into CI/CD pipelines
  • Proven ability to support AWS-aligned secrets management, certificate rotation, and secure configuration practices
  • Proven ability to ensure AI-enabled workflows meet security, privacy, and governance requirements

Preferred Qualifications:

• Reliability & Operations:
  • Proven ability to contribute to system observability, monitoring, and reliability improvements on AWS platforms
  • Proven ability to support incident resolution, root cause analysis, and operational improvements as needed
    • Proven ability to apply SRE best practices where appropriate, without owning formal SLOs or full-time on-call responsibilities