Back
Strong employer brand and metro location increase applicants, but senior specialized SRE role reduces density.
Role requires SRE, data-pipeline, and GenAI operational expertise, limiting cross-industry transferability.
Explicit 11-year requirement plus mandatory GenAI, Python, CI/CD, and AWS skills tighten filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide hands-on software engineering and system architecture leadership focusing on site reliability engineering (SRE) to enhance performance and availability of data and analytics technologies.
Develop and implement enterprise Generative AI automation solutions to reduce manual operational tasks, including building agent tools for autonomous operations.
Perform root cause analysis for production system issues, resolve defects promptly, and collaborate with business and technical stakeholders to ensure timely deliveries.
Bachelor’s degree in a related field.
5-8 years experience as a Developer with exposure to distributed systems and operational roles; total 11 years of experience mentioned but specific relevant range is 5-8 years development plus operational roles.
Hands-on experience designing, building, or operating Generative AI solutions in an enterprise environment, including use of Copilot Studio and Cursor AI tools.
Proficiency in Python (4+ years), SQL (5+ years), familiarity with SAS and shell scripting, CI/CD tools like GitHub and Jenkins, and relational databases (Oracle/DB2).
Experienced in software development lifecycle and operational excellence with a focus on integrating Generative AI to automate IT operations.
Comfortable working in an agile environment and collaborating across teams for solution delivery.
Located in Hyderabad or willing to work in a hybrid onsite model (3 days in office, 2 days work from home) overlapping US working hours as needed.