Cloud Engineering Senior Analyst

Job Title: Infrastructure & DevOps Engineer – Agentic AI & Cloud Automation

Position Overview

We are seeking a highly capable and forward-thinking Infrastructure & DevOps Engineer with deep experience in cloud-native platforms, automation, and a passion for leveraging Agentic AI to optimize infrastructure operations. This role is ideal for someone who thrives in a dynamic environment and is eager to shape the future of DevOps through intelligent automation, observability, and scalable architecture.

Responsibilities

• Design, implement, and manage cloud infrastructure on AWS, including EKS, EC2, S3, IAM, RDS (PostgreSQL), DynamoDB, and CloudWatch.
• Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Develop and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, and AWS CodePipeline.
• Automate infrastructure provisioning, monitoring, and scaling using scripting languages such as Python, Bash, or Go.
• Support and optimize Kubernetes workloads on AWS EKS, including autoscaling, logging, and observability.
• Integrate and deploy decision models built in IBM ADS, ensuring secure and scalable runtime environments.
• Leverage Agentic AI frameworks to automate DevOps tasks such as anomaly detection, self-healing infrastructure, and intelligent alerting.
• Implement and manage observability and monitoring using Dynatrace, including custom dashboards, alerting, and performance tuning.
• Collaborate with engineering and data teams to ensure seamless deployment and monitoring of APIs, data pipelines, and decision services.
• Implement best practices for cloud security, networking, and cost optimization.

Qualifications

Required Qualifications:

• Bachelor's or Master's degree in computer science, Information Technology, or a related field.
• Overall experience of 4 to 6 years.
• 4–6 years of experience in cloud infrastructure or DevOps engineering roles.
• Strong expertise with AWS services including EKS, EC2, S3, IAM, RDS (PostgreSQL), DynamoDB, and CloudWatch.
• Proficiency in Kubernetes and container orchestration, including monitoring and scaling workloads on EKS.
• Hands-on experience with Terraform, CloudFormation, and CI/CD tools.
• Strong scripting skills in Python, Bash, or Go for automation.
• Experience with Dynatrace for observability and performance monitoring.
• Understanding of networking, cloud security, and cost optimization strategies.
• Experience integrating infrastructure with decision models (e.g., IBM ADS).

Preferred Qualifications:

• Experience with Agentic AI systems or AI Ops platforms for infrastructure automation.
• Familiarity with event-driven architecture and Kafka.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK) in addition to Dynatrace.
• Passion for innovation and continuous improvement in DevOps practices.

Why Join Us?

• Be at the forefront of AI-driven infrastructure automation.
• Work with a global team on mission-critical systems.
• Shape the future of DevOps with Agentic AI and intelligent orchestration.

Location & Hours of Work

• Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
• Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

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.