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AWS DevOps Engineer

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Summary

Pune-based (hybrid, 3 days/week in office) AWS DevOps Engineer role: design AWS infrastructure with CloudFormation, build Lambda serverless and Glue data pipelines, run Databricks workloads, and maintain CI/CD and infrastructure-as-code automation. Requires 5+ years' experience; pays up to ₹30 LPA.


AWS DevOps Engineer

Role Details

  • Experience: 5+ Years

  • Location: Pune

  • Work Mode: Hybrid (3 days/week from office)

  • Budget: Up to ₹30 LPA

  • Joining: Immediate Joiners Only


Role Overview

We are seeking an experienced AWS DevOps Engineer with strong hands-on expertise in CloudFormation, Lambda, Glue, and Databricks (all mandatory). The ideal candidate will be responsible for designing, automating, and managing cloud infrastructure while enabling scalable data engineering and DevOps workflows.

The role requires deep knowledge of AWS infrastructure, CI/CD pipelines, infrastructure-as-code, and cloud-native architectures.


Key Responsibilities

  • Design and implement scalable AWS cloud infrastructure using CloudFormation.

  • Develop and maintain serverless solutions using AWS Lambda.

  • Build and manage data integration pipelines using AWS Glue.

  • Deploy and manage Databricks workloads for data processing and analytics.

  • Develop and maintain CI/CD pipelines for infrastructure and application deployments.

  • Automate infrastructure provisioning and configuration using Infrastructure-as-Code.

  • Monitor cloud infrastructure performance and ensure system reliability.

  • Implement security best practices and access control policies in AWS environments.

  • Collaborate with engineering and data teams to support data platforms and DevOps workflows.


Mandatory Skills

✔ AWS Cloud Infrastructure

✔ AWS CloudFormation (Infrastructure as Code)

✔ AWS Lambda

✔ AWS Glue

✔ Databricks

✔ CI/CD pipeline implementation

✔ Strong scripting knowledge (Python / Shell)

✔ Experience with Git-based version control


Good to Have

  • Experience with Kubernetes / Docker

  • Knowledge of monitoring tools (CloudWatch, Prometheus, Grafana)

  • Exposure to data engineering pipelines and big data ecosystems

  • Experience with security and compliance best practices in cloud environments


Soft Skills

  • Strong troubleshooting and problem-solving abilities

  • Ownership mindset with proactive execution

  • Ability to work collaboratively with cross-functional teams

  • Good communication and documentation skills



Skills

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See also

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