AWS DevOps Engineer (Remote) (Permanent)

Experience: 3.00 + years

Salary : INR 2000000-2500000 / year (based on experience)

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Winmore)

(*AI Tools, Ai/ml Understanding, Security, Kubernetes, production, AWS, CI/CD, Infrastructure as Code (IaC), Scripting, Observability

Own and improve the reliability, security, and delivery speed of cloud-native services on AWS. You'll run production systems across Kubernetes/ECS, build CI/CD, automate infrastructure, and drive incident response. Operate and scale production Kubernetes (EKS) and ECS workloads and AWS infrastructure (EC2, S3, RDS, VPC, IAM, Lambda).

Manage PostgreSQL operations: access controls, backups/restore, replication, performance tuning, and upgrades.

Build and maintain CI/CD pipelines using Jenkins or CircleCI (safe releases, rollbacks, environment promotion).

Automate infrastructure and operational workflows using Terraform / CloudFormation plus Python/Bash.

Implement monitoring/alerting using Datadog, CloudWatch, Grafana, SigNoz; Enforce security best practices across infra and delivery: least privilege IAM, secrets management, private networking, vulnerability management, compliance-aligned controls.

3–5 years relevant DevOps/SRE/Platform experience.

• Production exposure (required): hands-on operating and supporting live systems, on-call/incident response, debugging under pressure.
• Kubernetes + ECS: deploy/operate containerized apps on EKS and ECS; AWS: EC2, S3, RDS, IAM, VPC, Lambda; strong AWS CLI automation. PostgreSQL: admin fundamentals (roles/permissions, backups, replication, query optimisation).
• deployment strategies and rollback.
• Python/Bash automation. alert hygiene; Security exposure (required): IAM least privilege, secrets handling, secure networking, vulnerability management basics, working with compliance/security requirements.

Experience in startup/dynamic teams: high ownership, ambiguity, fast iteration, pragmatic trade-offs.

MLOps / LLM flows: model serving patterns, vector DB basics, prompt/guardrail concepts, CI/CD for ML artifacts.

Bachelor's degree in CS/Engineering (preferred).

HR/Offer Call

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Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today.