Senior DevOps Engineer

We are looking for a seasoned
Senior IT Engineer – Dev Ops with
10–12 years of experience across both
software development and Dev Ops
. This role requires strong hands‑on expertise in Core Java, AWS services, microservices architecture, CI/CD, Kubernetes, and cloud automation—along with leadership and mentorship capabilities.

• Work as a senior professional with
  10–12 years of combined development and Dev Ops experience
  .
• Demonstrate strong expertise in Core Java (8+), including OOP principles, data structures, and algorithms.
• Apply excellent analytical, debugging, and problem‑solving skills in complex environments.
• Ensure
  coding standards
  and best practices are consistently followed across the team.
• Work hands‑on with key
  AWS services such as SQS, Lambda, SNS, API Gateway, Dynamo
  
  DB, using AWS SDKs for both
  Java and Python
  .
• Familiarity with
  AWS CDK is a plus.
• Design and develop
  microservices using
  Spring Boot
  .
• Build scalable and efficient applications using
  Spring Batch and
  Spring Integration
  .
• Develop Python code—especially for
  AWS Lambda serverless functions
  .
• Contribute to
  Low‑Level Design (LLD)and software architecture discussions.
• Mentor and guide junior team members, fostering a collaborative and growth‑driven environment.
• Conduct
  code reviews
  , ensuring code quality, organization, and automation.
• Manage the team and ensure successful on‑time project delivery.
• Design, build, and maintain scalable, reliable, and secure
  AWS cloud infrastructure using IaC tools like
  Terraform or
  Cloud Formation
  .
• Develop, test, and deploy
  CI/CD pipelines using
  Git Lab CI/CD
  , optimizing build, test, and deployment workflows.
• Manage Kubernetes clusters—including configuration, scaling, and deployment of containerized applications.
• Automate repetitive tasks using
  Bash
  ,
  Python
  , or other scripting languages.
• Collaborate with development and QA teams to integrate
  Dev Ops best practices into the SDLC.
• Monitor system performance, troubleshoot issues, and ensure system
  availability, scalability, and reliability
  .
• Develop automation scripts and internal tools to improve cloud operations and deployments.
• Implement
  security best practices
  and compliance controls across cloud infrastructure and CI/CD pipelines.