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Salary
≈ $18k – $36k per year (Estimated)
Location
In office (Pune, Noida, Bengaluru)
Seniority
Senior · 7+ years exp

First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
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About Us Home About Know More About us wowJobs is a specialized hiring platform serving multi-national corporations operating in various industries, all across the world.

Job Summary:

We are looking for a highly skilled DevOps Engineer with experience building, deploying, and managing AWS cloud and data platform services including AWS Glue, Step Functions, Lambda, MSK, and EKS. The role requires expertise in automation, CI/CD, Kubernetes, GitOps, security, observability, and cloud cost optimization.

Tech Stack:

AWS Glue, Step Functions, Lambda, MSK, EKS, IAM, Cross-Account Setup, Python, Boto3, Apache Airflow, Gloo Gateway, Envoy Proxy, GitHub Actions, ArgoCD, Docker, Kubernetes, SonarQube, Veracode, Datadog, AWS Cost Optimization

Responsibilities:

- Build and maintain AWS cloud infrastructure and data platforms.

- Deploy and manage Glue Jobs, Step Functions, Lambda functions, MSK clusters, and EKS workloads.

- Develop automation solutions using Python and Boto3.

- Design and support CI/CD pipelines using GitHub Actions.

- Implement GitOps deployment strategies using ArgoCD.

- Manage Kubernetes deployments, Helm charts, and container platforms.

- Configure and support Gloo Gateway and Envoy-based API management.

- Implement IAM policies, roles, least-privilege access, and cross-account trust relationships.

- Integrate SonarQube and Veracode into CI/CD pipelines.

- Build monitoring, alerting, dashboards, and observability solutions using Datadog.

- Drive cloud cost optimization initiatives using AWS Cost Explorer, Savings Plans, and resource right-sizing.

- Troubleshoot production incidents and perform root cause analysis.

Preferred Qualifications :

- AWS Certifications, Terraform/CloudFormation, Enterprise Multi-Account AWS environments, Kafka operations, DevSecOps experience.

Skills

AWS, DevOps, Cloud Infrastructure, AWS Glue, CI/CD Pipeline, Github, Python, DataOps, Kubernetes, Monitoring Tools, IT Automation

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