Search by job, company or skills

evernorth health services

DevOps Engineer

Save
new job description bg glownew job description bg glow
  • Posted 4 days ago
  • Be among the first 20 applicants
Early Applicant

Job Description

Software Engineering Lead Analyst - DevOps

Position Overview

As a Software Engineering Lead Analyst - DevOps, you will be part of a team responsible for designing, implementing, and managing CI/CD pipelines, cloud infrastructure, and container orchestration platforms. You will drive automation, reliability, and operational excellence across Evernorth's technology ecosystem, ensuring seamless delivery of healthcare solutions at scale.

Responsibilities

  • Design and implement CI/CD pipelines using Jenkins, GitLab CI, or Azure DevOps for automated build, test, and deployment.
  • Manage container orchestration platforms including Kubernetes, Docker, and OpenShift.
  • Develop and maintain infrastructure as code using Terraform, Ansible, and CloudFormation.
  • Architect and manage cloud infrastructure on AWS (EC2, S3, ECS, EKS, Lambda, RDS).
  • Automate build, release, and deployment processes to improve delivery velocity.
  • Implement monitoring, alerting, and observability solutions using Splunk, Datadog, CloudWatch, and Grafana.
  • Enforce security best practices in DevOps workflows (secrets management, IAM, vulnerability scanning).
  • Collaborate with development teams to ensure seamless integration and deployment of applications.
  • Manage source control strategies and branching models using Git.
  • Perform performance tuning, capacity planning, and cost optimization for cloud resources.
  • Troubleshoot production infrastructure issues and lead incident response.
  • Mentor junior engineers and drive adoption of DevOps culture and practices.

Qualifications:

  • 5 - 8 years of experience in DevOps, SRE, or infrastructure engineering.
  • College degree (Bachelor) in Computer Science, Information Technology, or related field.
  • Strong experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps).
  • Expert knowledge of container technologies (Docker, Kubernetes, OpenShift).
  • Proficiency with cloud platforms, primarily AWS (EC2, S3, ECS, EKS, Lambda, RDS).
  • Infrastructure as code experience (Terraform, Ansible, CloudFormation).
  • Scripting proficiency in Python, Bash, and/or PowerShell.
  • Experience with monitoring tools (Splunk, Datadog, CloudWatch, Grafana).
  • Strong understanding of Linux/Unix administration and networking concepts.
  • Strong analytical and problem-solving skills.

Preferred Qualifications:

  • AWS Certified DevOps Engineer or Solutions Architect certification.
  • Experience with GitOps workflows and tools (ArgoCD, Flux).
  • Exposure to healthcare domain applications.

Industry / Domain Experience Needed:

  • Demonstrated experience in enterprise-scale DevOps and cloud infrastructure management.
  • Ability to navigate a geographically diverse team and communicate effectively.
  • Familiarity with healthcare compliance requirements and security standards.
  • Passion for automation and continuous improvement in a fast-paced environment.

More Info

Job Type:
Industry:
Function:
Employment Type:

Job ID: 147524903

Similar Jobs

Hyderabad, India

Skills:

JavaTerraformLinuxCloudformationMonitoring ToolsDynatraceSpring BootRest ApisKubernetesAWSCI CD pipelines

Hyderabad, India

Skills:

GithubBash ScriptingPowerShellJenkinsGitShellDockerTerraformTypescriptAWS CloudFormationDynatraceSplunkPythonAzure DevOpsAmazon ECSWizCDKTF

Hyderabad, India

Skills:

Continuous IntegrationContinuous DeploymentAWS CloudFormationAutomation ScriptingInfrastructure as CodeContainer OrchestrationPython Programming LanguageAWS ArchitectureSecurityDevOps Architecture

Remote, India

Skills:

GithubBashWindowsJenkinsDevopsCloud OrchestrationLinuxTerraformKubernetesPythonSREAKSTooling EngineeringArgo CD

Hyderabad, India

Skills:

CassandraGrafanaDockerTerraformPythonAWSJavaRustScalaApache SparkGcpGitlabSplunkKubernetesAirflowData dogPinotGoFlinkTrinoMLFlowATLASLuigiVector databaseIcebergJupyter NotebooksSpinnakerData Catalogs