Software Engineering Lead Analyst - HIH - Evernorth

Responsibilities:

• Design and Implement Cloud Infrastructure: Utilize AWS services to design and implement robust cloud infrastructure.
• Infrastructure as Code (IaC): Develop and maintain IaC using Terraform to ensure consistent and repeatable deployments.
• CI/CD Tools and Source Control: Work with CI/CD tools and source control systems such as Ansible, Jenkins, and GitHub to streamline development and deployment processes.
• Containerization and Orchestration: Implement and maintain containerization and orchestration solutions, including Docker and Kubernetes, to enhance application scalability and reliability.
• Optimize Cloud Resources: Optimize cloud resource utilization and cost management while ensuring system reliability, scalability, and security.
• Agile Framework: Operate within an Agile framework, participating in Scrum/Kanban ceremonies such as Daily Stand-ups, Sprint Planning, Sprint Reviews, PI Planning, and Retrospectives.
• Collaboration: Collaborate with team members to streamline deployment processes and improve overall efficiency.

Qualifications

Required Experience & Skills:

• 5 to 8 years of overall Engineering experience.
• Proficiency in Infrastructure as Code tools, particularly Terraform.
• Hands-on programming experience using relevant languages like Python, Bash.
• Experience with CI/CD tools, especially GitHub, Jenkins, Ansible.
• 3-5 years of experience with AWS services (e.g., EKS, RDS, SQS, SNS, Lambda, EC2, API Gateway, CloudFront)
• Experience with monitoring and logging tools (e.g. Splunk, Grafana, Dynatrace)
• Strong knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Solid understanding of networking concepts and security best practices.

Preferred Experience & Skills:

• AWS certifications (e.g. DevOps Engineer, Solutions Architect)
• Experience with monitoring and logging tools (e.g., Splunk, Grafana, ELK stack)
• Knowledge of database administration and optimization.
• Familiarity with AI/ML deployment workflows.
• Experience with databases like postgress.