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Mid-level DevOps in metro with common title, broad skills attracts many qualified applicants.
Core cloud and DevOps skills are transferable, but pharmaceutical regulatory experience increases domain sensitivity.
6+ years plus mandatory AWS, Terraform, serverless, Kubernetes and monitoring increases filter strictness.
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Design, deploy, and operate scalable AWS cloud infrastructure using infrastructure as code tools like Terraform and CloudFormation.
Build AI-driven automation, internal tooling, and agentic workflows utilizing AI assistants such as Claude to accelerate engineering and operations.
Monitor, troubleshoot, and optimize performance of cloud-based applications using tools like New Relic, Grafana, and Prometheus; ensure reliability, scalability, security, and compliance of systems.
Bachelor's or Master's degree in Computer Science or a related field.
6+ years of experience in a DevOps or platform engineering role focused on AWS services and infrastructure as code at scale.
Strong hands-on experience with Terraform or CloudFormation, serverless architectures (AWS Lambda, API Gateway, DynamoDB), monitoring tools (Grafana, Prometheus, New Relic), and CI/CD tools (Azure DevOps, Jenkins, GitLab, or CircleCI).
Experience using AI coding assistants (such as Claude) to write, review, and ship code; proficient in Linux administration and scripting (Bash, Python, JavaScript).
Proven ability to operate high performance, scalable, fault-tolerant multi-tenant SaaS-based cloud applications leveraging microservices and serverless architectures.
Demonstrated track record of developing AI-driven automation tools and integrating AI assistants into engineering workflows to increase efficiency.
Experienced in troubleshooting and optimizing complex distributed systems with clear collaboration across development teams to meet evolving business and technology needs.