AWS DevOps Engineer
At a glance
Mid-level DevOps & Release role at Fa Ewjt Saasfaprod1. Pune · full-time.
Pay not stated DevOps & Release salary
devopsroles summary, based on the employer's posting.
What you'll do
- Maintain AWS infrastructure and data platforms, then deploy Glue jobs, Step Functions, Lambda functions, MSK clusters and EKS workloads
- Automate AWS tasks with Python and Boto3, and build delivery pipelines in GitHub Actions
- Use ArgoCD for GitOps releases while managing Kubernetes workloads, Helm charts and container platforms
- Set IAM permissions and cross-account trust, then add SonarQube and Veracode checks to CI/CD
- Set up Datadog dashboards and alerts, optimize AWS spend, and investigate production failures to identify causes
What you bring
- You have experience creating and operating AWS cloud and data platform services
- You bring expertise across automation, CI/CD, Kubernetes, GitOps, security, observability and cloud cost optimization
- You can develop automation with Python and Boto3
Who this fits
This mid-level, full-time role is hybrid in Pune, India. It suits an engineer focused on AWS infrastructure, data platforms and delivery automation.
From the employer
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.
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
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.
AWS Certifications, Terraform/CloudFormation, Enterprise Multi-Account AWS environments, Kafka operations, DevSecOps experience.
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