Technical Support Lead Analyst – HIH – Evernoth at Cigna Healthcare
Hyderabad, Telangana, India -
Full Time


Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AWS, PostgreSQL, SQL, Snowflake, Databricks, Splunk, Dynatrace, CloudWatch, Data Engineering, Incident Management, Healthcare Domain, Analytical Thinking, Communication, Collaboration, Production Support, Operational Runbooks

Industry

Hospitals and Health Care

Description
Technical Support Lead Analyst Position Overview We are seeking a Technical Support Lead Analyst to join our operations support and reliability engineering team. This role is critical in maintaining the health and performance of our production systems, ensuring seamless operations across cloud infrastructure, data platforms, and monitoring tools. The ideal candidate will have hands-on experience with AWS services, data engineering platforms, and observability tools, preferably within the healthcare domain. Responsibilities Lead and manage day-to-day production support activities across multiple platforms. Monitor and troubleshoot issues using tools like Splunk, Dynatrace, and CloudWatch. Perform root cause analysis and drive resolution for incidents and outages. Maintain and enhance operational runbooks and support documentation. Collaborate with engineering and data teams to ensure reliability and performance. Support AWS infrastructure including S3, Glue, EC2, EKS, Lambda, and CloudWatch. Work with databases including PostgreSQL, Snowflake, and Databricks for data validation and issue resolution. Participate in on-call rotation and provide weekend support as needed. Ensure compliance with healthcare data handling standards and best practices. Qualifications Required Skills: Cloud Platforms: Strong hands-on experience with AWS (S3, Glue, EC2, EKS, Lambda, CloudWatch). Databases & Querying: Proficiency in PostgreSQL, SQL, Snowflake, and Databricks. Monitoring & Observability: Experience with Splunk, Dynatrace, and AWS CloudWatch. Operations & Reliability: Familiarity with production support workflows, incident management, and runbook creation. Healthcare Domain: Prior experience in healthcare data environments is highly preferred. Soft Skills: Strong analytical thinking, communication, and collaboration skills. Flexibility: Willingness to work in shifts and provide weekend support on a rotational basis. Experience with application capacity and performance tools Strong written and oral communication skills. Create and produce application support documentation. Bachelor’s degree in computer science or a related discipline strongly preferred, typically eight or more years of solid, diverse work experience in IT with a minimum of five years’ experience application development or production support, or the equivalent in education and work experience Required Experience & Education: 5 - 8 years of experience Experience with vendor management in an onshore/offshore model. Proven experience with architecture, design, and development of large-scale enterprise application solutions. College degree (Bachelor) in related technical/business areas or equivalent work experience. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Responsibilities
Lead and manage day-to-day production support activities across multiple platforms while monitoring and troubleshooting issues. Collaborate with engineering and data teams to ensure reliability and performance of production systems.
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