DevOps Engineer

Responsibilities

• Lead DevOps tasks and initiatives end-to-end, from design through delivery, without requiring step-by-step oversight.
• Optimize, deploy, and manage containerized workloads using Kubernetes (AWS EKS).
• Implement and maintain Infrastructure as Code using Terraform and CloudFormation.
• Enhance and support existing and new CI/CD pipelines with Git, driving automation for builds, tests, deployments, and rollbacks.
• Collaborate with security teams to proactively identify and remediate vulnerabilities, enforce best practices, and support compliance requirements.
• Troubleshoot, diagnose, and resolve complex infrastructure and application issues across distributed systems.
• Establish and evolve monitoring, alerting, and logging solutions for 24x7x365 visibility into system health and performance.
• Partner with business and technology leadership to improvise and innovate solutions, shaping the long-term infrastructure roadmap.
• Mentor junior team members in AWS, promote a culture of ownership, and ensure best practices are followed.
• Serve as a key escalation point for outages, performance concerns, and critical system events.

Qualifications

• 5-7+ years of DevOps, Infrastructure, or SRE experience in cloud-native environments.
• Deep expertise with all-things AWS (EC2, ElasticSearch, S3, IAM, Bedrock, EKS, etc).
• Strong hands-on experience with Kubernetes and Git-based CI/CD workflows.
• Proficiency in Terraform for Infrastructure as Code.
• Strong programming/scripting skills (Python, Bash, or equivalent) for automation and troubleshooting.
• Solid knowledge of high-availability architectures, load balancing, failover, and security best practices.
• Able to own initiatives, take charge of delivery, and drive outcomes with minimal supervision.
• Strong collaboration skills with cross-functional teams, especially security and development.
• Excellent communication skills and the ability to present technical solutions clearly to both technical and non-technical stakeholders.

Nice to Haves

• Experience with the following technologies:
• Data logging and alerting (SIEM)
• Data ETL and Scheduling tools, such as Airflow, Glue, etc
• Understanding data lineage and processing procedures
• Experience and Understanding of Compliance and Legal concepts, such as CCPA/CPRA
• Understanding around modern AI Concepts, such as LLM and ML processes and tools