CloudOps Engineer
Design, build, and automate secure AWS cloud-native infrastructure with Kubernetes and Terraform. Enable dev teams with self-service platforms, CI/CD pipelines, and SRE best practices.
About the job
Principal Responsibilities
- Design, develop, integrate, test, and monitor all AWS infrastructure following industry best practices and standards in a secure and highly regulated environment
- Utilize AI-based tools for Infrastructure as Code Development
- Engineer self-service and automated solutions to enable application development teams to constantly move faster while ensuring compliance with security standards and requirements
- Build and pilot a next generation application platform centered around Kubernetes and its ecosystem of software
- Act as a trusted partner for application development teams, advising and supporting their use of cloud technologies
- Design, develop, and maintain CI/CD pipelines
- Apply secure by design and secure by default patterns to AWS and Kubernetes infrastructure and platforms
- Champion cloud-native best practices and partner with application development teams on their implementation
- Automate repetitive tasks and processes
Minimum Qualifications
- Bachelor's Degree or equivalent working experience
- 3+ years of professional experience
- Strong programming and scripting skills with one or more languages (Python, Go, Bash)
- Experience utilizing and deploying applications to a container orchestration platform like Kubernetes in a production environment
- Experience working with Linux operating systems and containers
Preferred Qualifications
- MS or PhD in Computer Science, Math, Physics or Engineering
- Professional experience designing and managing infrastructure in AWS with Terraform or other Infrastructure as Code tools in a highly regulated environment
- Experience implementing or integrating with application metric, logging, and tracing aggregation tools such as New Relic, Prometheus, OpenTelemetry, Loki, and Grafana for troubleshooting, monitoring, and alerting
- Experience using AI agents, such as GitHub Copilot, for development
- Practical working experience with event driven architectures and message buses like Kafka
- Experience owning CI/CD pipelines and automated workflows
- Ability to design and develop event driven automations and/or workflows using AWS Lambda and/or Step Functions
- Understanding of the SRE principles and/or a background in an SRE, operations, or system administrator role
Skills
AWS, Terraform, Kubernetes, Python, Go, Bash, Linux, CI/CD, Docker, Prometheus, Grafana, OpenTelemetry, Kafka, AWS Lambda, Step Functions
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