About the role
Requirements:
- Hands-on experience leveraging Generative AI to automate DevOps and SRE workflows, including CI/CD pipeline optimization, infrastructure-as-code IaC enhancements, and script/code generation.
- Experience with AIOps practices such as anomaly detection, predictive alerting, intelligent log analysis, and root cause identification.
- Familiarity with using AI for incident detection, automated remediation, and building self-healing systems.
- Experience working with or building AI agents to automate service deployments, execute operational runbooks, and integrate with monitoring and DevOps toolchains, improving efficiency and reliability while reducing operational overhead. 6.5+ years of experience in Site Reliability Engineering.
- Expert in programming and scripting languages like Python, Go, Node.js, and bash.
- Strong experience in building and managing CI/CD pipelines and deployment strategies (Blue-Green, Rolling, Canary), using tools like GitHub Actions, Jenkins, and Git, with robust versioning and release management practices.
- Deep expertise in container orchestration and platform engineering, including Kubernetes, Docker, and Istio, along with experience in Helm for packaging, deploying, and managing applications at scale.
- Hands-on experience with workflow orchestration tools like Apache Airflow, including designing and optimizing DAGs/jobs for data and infrastructure workflows, and integrating them into CI/CD and operational pipelines.
- An obsession with metrics, reliability, and uptime and well-versed in tools like Datadog.
- Deep understanding of cloud cost optimization strategies to maintain cost efficiency without sacrificing performance.
- Expert at infrastructure-as-code frameworks like Terraform and OpenTofu.
- Sound knowledge of networking and AWS infrastructure components like S3 EKS, Elasticsearch, Aurora, EFS, Elasticache, CodeDeploy, Route53 ELB, etc.
- Experience with managing relational and NoSql databases like MySQL, Postgres, and MongoDB.
- Experience with Compliance, security, DevSecOps, production incident roster management and escalation paths, and publishing RCAs.
- Strong sense of ownership and integrity demonstrated through clear communication and collaboration.
- Improving efficiency and reliability while reducing operational overhead.
Preferred Skills and Qualifications:
- Bachelor's degree (or equivalent) in computer science, information technology, or mathematics.
- Knowledge of web services, APIs, REST, and RPC.
- AWS certification as a Cloud Practitioner, SysOps Practitioner, Advanced Networking, or similar.