Responsibilities:

Core responsibilities will include but not limited to the following:

• You will work with the DevOps & Site Reliability Engineering (SRE) teams building End-to-End automation solutions and dashboard to support the Enterprise IT standing teams.
• You will be working on various process automation, working with various teams across arm
• Supporting in creation and maintenance of build, release and deployment pipelines on various CI/CD tools.
• Maintaining a Centralized Automation Framework using Web test automation tools and API testing libraries.

Required Skills and Experience:

Strong IT background with a consistent track record in sophisticated software projects. Hold at least a B. Tech in computer science, information technology, or a related field, with at least 6 to 8 years of overall experience in a similar role within a large, global organization. Deep technical proficiency building secure custom software applications and cloud computing. A successful history of performing as the technical lead in large-scale IT projects from inception to completion, demonstrating strong analytical and problem-solving skills, is needed. Ability to work autonomously, with a commitment to staying abreast of the latest industry developments.

• Experience in software development, with proficiency in programming languages such as Java, C#.
• Overall Experience of 4-6 years 
• Excellence in software engineering practices, coding and proven foundation in data structures, algorithms with strong testing, debugging and analytical skills.
• Strong research skills for requirement gathering and analysis.
• Hands-on experience with source code management tools, such as Git, and good knowledge of branching and merging strategies.
• Expertise on agile and DevOps methodologies and understanding of the secure SDLC.
• Expertise in Continuous Integration/Continuous Deployment (CI/CD) practices and tools like Azure DevOps, AWS Code tools etc
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes.
• Basic understanding of cloud platforms like AWS, Azure, or GCP, and experience in deploying and handling applications in the cloud.

“Nice To Have” Skills and Experience:

• Basic understanding of any Agentic AI Tools.
• Solid understanding of any Robotic Process Automation Tools.
• Experience with Business Analytics tools like Microsoft Power BI.
• Experience in using Terraform, Ansible etc for writing infrastructure as code (IaC), enabling efficient management of cloud infrastructure.
• Experience in handling on-prem infrastructures like Windows and Linux VMs and of Linux Administration and Networking.