Infrastructure Engineering Lead Analyst - HIH - Evernorth

Cigna; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Job summary

Evernorth in Hyderabad, India is seeking an Infrastructure Engineering Lead Analyst to design, build, and optimize scalable cloud infrastructure for AI-driven services. The role involves managing CI/CD pipelines, deploying on AWS/OpenShift, and ensuring performance and security across databases and services.

You will collaborate with onsite and offshore teams in an Agile setting, drive automation, and contribute to architectural decisions that impact reliability and scalability.

Qualifications

• Minimum 6 years IT experience.
• 5+ years cloud delivery (IaaS, PaaS, SaaS) with AWS/Azure/GCP.
• 4+ years containerization (Docker) with OpenShift or Kubernetes.
• 3+ years API integrations, cloud services setup, authentication, monitoring.

Responsibilities

• Design, implement, and optimize scalable infrastructure for AI/ML workloads.
• Manage CI/CD pipelines and automation across AWS/OpenShift.
• Deploy code via Jenkins, GitHub Actions, GitLab after feature completion.
• Tune performance and secure databases (RDS, DynamoDB, DocumentDB).
• Plan capacity and scale resources with monitoring and alerts.
• Collaborate with developers and admins; document technical specs.

Skills

Git & CI/CD

Kubernetes

OpenShift

Terraform

Python scripting

AWS

API integration

Agile/Scrum

Tools

Jenkins

GitHub Actions

GitLab CI

OpenShift

Terraform

Job description

Infrastructure Engineering Lead Analyst - HIH - Evernorth

ABOUT EVERNORTH:

Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don't, won't or can't.Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.We are always looking upward. And that starts with finding the right talent to help us get there.

Position Overview

Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. Our people make all the difference in our success. We are looking for engineer to develop, optimize and fine-tune AI models for performance, scalability, and accuracy. In this role you will support the full software lifecycle of design, development, testing, and support for technical delivery. This role requires working with both onsite and offshore team members in properly defining scenarios based on requirements/acceptance criteria.

Responsibilities

• Comprehensive understanding of cloud computing principles (such as elasticity, trust, resource pooling, rapid elasticity, measured service) and architectures (microservice and serverless) from major cloud providers (e.g., AWS, Azure, Google Cloud, OpenShift).
• Hands on experience with any Scripting & Automation.
• Responsible for plan, Design, implementing application infrastructure for scalable, distributed system including CI/CD pipelines & automation.
• Deploy the code into AWS and OpenShift platforms through Continuous Integration and Continuous Deployment using Jenkins, Github Actions, Gitlab after each successful implementation of new feature.
• Performance Tuning: Troubleshoot performance issues and ensure efficient database operations.
• Security: Implement and maintain database security measures, including access controls, encryption, and auditing, in accordance with best practices and compliance requirements.
• Backup and Recovery: Develop and execute database backup and recovery strategies to ensure data integrity and availability.
• Patch Management: Keep SQL, NoSQL, and AWS RDS instances up to date with the latest patches and updates.
• Scaling and Capacity Planning: Scale database resources as needed to accommodate growth and changing workloads. Perform capacity planning to ensure resources are allocated appropriately.
• Monitoring and Alerting: Set up monitoring and alerting systems to proactively identify and address database issues. Use AWS CloudWatch and other tools for monitoring.
• Automation: Implement automation scripts and workflows for routine database tasks and maintenance.
• Collaboration: Collaborate with application developers, system administrators, and other teams to ensure seamless integration of databases into applications and infrastructure.
• Documentation: Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate concepts to both technical and non-technical stakeholders.
• Participating in software/hardware configuration, releases, and installation tasks.
• Working in an AGILE environment with bi-weekly sprints and provided work updates in daily SCRUM calls, maintaining industry level best practices for Infrastructure Engineering using wide varieties of latest technologies and frameworks.

Qualifications

Desired Skills

• DevOps culture and Strong knowledge on Git and CICD process.
• Containerization Services Kubernetes or OpenShift and Docker.
• Hands-on with Terraform to build / automate Cloud Infrastructure.
• Automation with Python or any other scripting experience.
• Experience on Cloud services like Postgres AWS RDS(SQL), DynamoDB (NoSQL) or Document DB and Elastic Cache.
• Familiarity with agile Scrum or Kanban.

Required Experience & Education

• Minimum of 6 years' experience in IT
• 5+ years of experience in cloud computing delivery models (IaaS, PaaS, and SaaS), microservices and deployment models related to Public, Private and Hybrid Cloud service of any provider (AWS or Azure or GCP).
• 5+ years of experience in SCM tools like Gitlab or Github and CICD pipelines (Jenkins, etc)
• 3+ years of engineering expertise with building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging.
• 4+ years of relevant work experience in solutions design and engineering experience on containerization (Docker) and OpenShift or Kubernetes.
• 3+ Hands-on with Amazon RDS, DynamoDB, and its features, including automated backups, automated softwa