Requirements

5+ years in DevOps/SRE/Platform Engineering with production AWS experience
Expert with CloudFormation (preferred) and AWS CDK; deep Linux fundamentals and shell scripting
CI/CD implementation and troubleshooting (GitLab CI, Jenkins, GitHub Actions, or CodePipeline)
Containers and orchestration (Docker, EKS/ECS); progressive delivery strategies
Expertise in TypeScript for automation
Strong networking and security expertise (VPC design, routing, security groups, firewalls, IAM policies)
Experience architecting highly available, scalable, and secure AWS solutions, including multi-account and multi-region architectures where appropriate
Demonstrated leadership in incident response, post-incident improvement, and cross-team technical influence
Clear, concise communication with the ability to translate platform constraints into product-aligned decisions
Relevant AWS certification required (e.g., AWS DevOps Engineer, AWS Solutions Architect)

Preferred Qualifications

GitOps (Argo CD/Flux) and service mesh fundamentals; APM/RUM (Dynatrace/New Relic)
Operating Kafka and MongoDB in production; experience with microservices & distributed systems
Operating in regulated environments (financial services), with evidence practices for audits and control adoption
PagerDuty administration and on-call program improvements; cost governance/FinOps exposure
Proficiency in Python (or Bash/Go) for automation
Observability stacks (CloudWatch, Prometheus/Grafana, Splunk/ELK, Datadog) and data-driven alerting

Design, build, and operate AWS infrastructure using CloudFormation and AWS CDK
Own CI/CD for platform and apps, enabling progressive delivery and automated quality gates
Lead observability initiatives and define metrics, logs, and traces
Engineer for reliability, manage on-call rotations, and reduce MTTR with automation
Automate operational tasks and integrate policy-as-code for security and compliance
Strengthen security & resiliency with secrets management and network segmentation
Optimize cost & performance by right-sizing compute/storage and tuning autoscaling
Mentor engineers, review designs, and drive adoption of best practices