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Senior AWS Cloud & DevOps Engineer - Kubernetes/Terraform

svan global consultancy
8 - 12 Years
Pune

Posted on: 17/08/2026

Job Description

Senior AWS Cloud & DevOps Engineer Kubernetes | Terraform | Observability

Location : Pune (Hybrid)

Experience : 812 years

Employment type : Full-time (FTE) | Hybrid

We are looking for a Senior Cloud Specialist with deep expertise in cloud-agnostic services, DevOps practices, and infrastructure automation to build and scale cloud-native travel platform for high availability, security, and operational excellence.

Key Responsibilities :

- Design scalable, secure, cost-optimized AWS infrastructure for microservices and serverless.

- Infrastructure as Code with Terraform, Ansible, CloudFormation, YAML, and CDK.

- Build and maintain CI/CD pipelines (Azure Pipelines, GitHub Actions).

- Container orchestration with Docker, ECS, EKS (Kubernetes), and Lambda.

- Serverless with Lambda, API Gateway, Step Functions, SQS/SNS, EventBridge, Apache Pulsar, Vault, Consul.

- Observability with OpenTelemetry, Prometheus, Grafana, CloudWatch, ELK; SLIs/SLOs/SLAs.

- Security & compliance (IAM, KMS, secrets, SOC2/PCI-DSS); DR/backup with RTO/RPO.

- Lead incident response, RCA, and post-mortems.

Must-Have Skills :

- AWS core (EC2, S3, VPC, IAM, CloudFront, Route53, ALB/NLB, Lambda, API Gateway, SQS/SNS, EventBridge).

- ECS, EKS (Kubernetes), ECR; Helm, service mesh, ingress.

- Terraform (required), CloudFormation or CDK; scripting in Python, Bash, PowerShell.

- Observability stack; security scanning (SonarCloud, Trivy, AWS Inspector).

- Strong Git and Agile/Scrum.

Preferred Skills :

- AWS certifications (SA Pro, DevOps, Security); GitOps (ArgoCD/FluxCD).

- FinOps; chaos engineering; travel/e-commerce high-traffic background.

AI Skills Ready to Use :

- Use AI/Copilot to generate and review IaC (Terraform), scripts, and pipelines.

- AIOps : anomaly detection, log/alert summarization, and AI-assisted incident RCA.

- Build and operate infra for AI workloads GPU/inference nodes, vector DBs, model-serving, and LLM-app observability.

- Apply prompt basics and cost/guardrail controls for internal AI tooling.

The job is for:

May work from home
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