Search by job, company or skills

recruitday

Senior AWS Full-Stack Engineer (DevOps Focus)

Save
  • Posted 12 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

  • AI Governance & Agentic Workflow: Lead the practical implementation of AI tools within the development lifecycle. This includes using an Agentic Approach to share specs with coding agents, inviting criticism, and refining AI-generated source code and documentation
  • Infrastructure & Automation: Work with the existing AWS infrastructure defined in CDK (TypeScript), developing a deep understanding of it and implementing amendments as needs evolve. Contribute to CI/CD pipelines, deployment strategy (blue/green, canary), and environment promotion. Support the health of OpenSearch clusters and PostgreSQL (RDS) migrations
  • Observability: Define and configure the observability stack (CloudWatch metrics, logs, traces, alarms, AI-powered anomaly detection) so problems are detected before they are reported. Lead DLQ recovery and automated incident documentation
  • Site Reliability Engineering: Drive SRE practice — error budgets, runbooks, post-incident reviews — and ensure production systems are reliable, scalable, and efficient through automation and AI monitoring
  • CI/CD & Release Engineering: Understand and continuously improve the build, test, and deployment pipelines. Automate the path from commit to production, including release gates, rollback strategies, and pipeline observability
  • Security & Networking: Oversee least-privilege IAM, Cognito, and Secrets Manager configurations alongside VPC, subnet, and Route 53 design.

Qualifications:

  • AWS Mastery: Deep knowledge of Lambda, DynamoDB, EventBridge, SQS, and AppSync, plus the networking primitives (VPC, subnets, IAM, Route 53) that hold them together
  • IaC: Extensive experience with Infrastructure-as-Code (AWS CDK), including module design, environment parameterisation, and drift detection
  • CI/CD & Containers: Hands-on experience designing CI/CD pipelines (GitHub Actions, CodePipeline, or similar) and working with containerised workloads (Docker, ECS/EKS, or Lambda container images)
  • Observability & SRE: Practical experience with CloudWatch metrics/logs/traces, alerting, on-call practices, and runbook authoring
  • AI Proficiency: Experience with AI-native development and automated PR review phases for compliance and code quality
  • Bonus: Experience in TV/Media (MediaConvert, MediaLive).

About Company

Job ID: 150705099