Senior Devops Engineer

About the Role

We are looking for a Senior DevOps Engineer to own and operate our entire production infrastructure on AWS.You will be responsible for end-to-end cloud infrastructure management, CI/CD, observability, security, reliability, and cost optimization.

This role also includes strong MLOps responsibilities, ensuring reliable operation of ML and data pipelines, reproducible deployments, and stable batch or near-real-time workloads.

Key Responsibilitie

s1. AWS Infrastructure Ownershi

• pManage AWS environments (prod, staging, dev) including networking (VPCs, subnets, routing), IAM, and security groups
• .Operate compute workloads (EC2/ECS), autoscaling, and service health
• .Own PostgreSQL (RDS): performance tuning, backups, disaster recovery, upgrades, and optimization
• .Manage Redis and S3 (lifecycle policies, encryption, retention)
• .Define infrastructure standards (naming, tagging, access control)

.2. CI/CD & Deploymen

• tBuild and maintain CI/CD pipelines across services
• .Implement safe deployment strategies (blue/green, canary, rollback)
• .Maintain Infrastructure-as-Code (Terraform preferred)

.3. Observability & Reliabilit

• yOwn monitoring (metrics, logs, traces), alerting, and dashboards
• .Define SLIs/SLOs and drive incident response and postmortems
• .Proactively improve system performance and reliability

.4. Security & Governanc

• eImplement secure networking, secrets management, IAM best practices, vulnerability scanning, and patching
• .Enforce secure SDLC and production access controls

.5. MLOps & Data Pipeline Operation

• sOperate workflow orchestration systems (Airflow preferred)
• .Manage batch and inference workloads efficiently and reliably
• .Support model/artifact versioning and reproducibility
• .Monitor ML/data workloads and ensure operational stability

.6. Cost Optimizatio

• nMonitor and optimize AWS costs (right-sizing, autoscaling, storage lifecycle, spot/reserved usage)
• .Establish cost visibility, budgets, and tagging strategy

.Required Qualification

• s67 years of experience in DevOps / Platform Engineering / SRE with production ownership
• .Strong hands-on experience with AWS (IAM, VPC, EC2/ECS, RDS, S3, CloudWatch, load balancers, autoscaling)
• .Experience building CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI) and deployment automation
• .Production experience with Terraform or similar IaC tools
• .Observability experience across metrics/logs/traces + incident response ownership
• .Solid Linux and networking fundamentals
• .Security best practices (least privilege, secrets management, vulnerability management)
• .Experience operating ML/data pipelines in production

.Nice to Hav

• eKubernetes/EKS experience
• .Kafka operations experience
• .Experience with large-scale batch data processing or ML platforms
• .Familiarity with agentic/LLM tool ecosystems