DevOps Cloud Engineer
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Job Description
Senior DevOps Engineer improving Azure cloud reliability, security, and automation for Evernorth Health Services. Building CI/CD, Kubernetes, Terraform, and AI-assisted engineering capabilities.
Responsibilities:
- Drive day-to-day DevOps activities, including intake management, prioritization, planning, and delivery
- Work across Development, Infrastructure, Security, Cloud Governance, and Operations teams on ongoing initiatives and new product development
- Review and enhance security practices for source control, access management, CI/CD pipelines, and deployments
- Manage and administer GitLab, Azure DevOps, Nexus, Grafana, LENS, and Dynatrace
- Create, manage, and maintain automated build and deployment pipelines
- Troubleshoot and resolve Kubernetes deployment, configuration, performance, and operational issues
- Monitor and maintain the health, performance, availability, and security of Azure cloud resources
- Design, implement, and maintain Terraform Infrastructure as Code solutions
- Design and enhance Continuous Integration and Continuous Delivery frameworks
- Collaborate with cloud architects and engineering teams on highly available, scalable, and disaster-recovery-capable solutions
- Improve observability through monitoring, alerting, logging, and performance tuning
- Research technologies, tools, and processes for DevOps, SecOps, and platform engineering adoption
- Enhance CI/CD standards, templates, and onboarding processes
- Evaluate and implement AI-assisted engineering solutions for developer productivity, automation, operational efficiency, and incident response
- Ensure solutions align with enterprise security, governance, compliance, and operational standards
- Interact with Engineering, QA, Infrastructure, Security, Product Owners, Client Service, and Operations to ensure products are built, released, and deployed efficiently
- Identify opportunities to improve processes, increase automation, enhance security, improve reliability, and accelerate delivery
Requirements:
- 5+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, or DevSecOps roles
- 3+ years of experience with Microsoft Azure cloud services
- 3+ years of experience with Infrastructure as Code (Terraform preferred)
- 3+ years of experience with Kubernetes in production environments
- 3+ years of experience designing, implementing, and maintaining CI/CD pipelines and automation
- 3+ years of experience implementing security controls, vulnerability remediation, and secure software delivery practices
- 3+ years of experience with Bash, PowerShell, Python, or similar scripting languages
- 3+ years of experience with SQL and relational databases such as PostgreSQL
- 3+ years of experience with monitoring, observability, and alerting tools such as Grafana, Prometheus, Dynatrace, Azure Monitor, and Application Insights
- 3+ years of experience with Blue/Green, Canary, Rolling Deployments, and Deployment Slots
- 3+ years of experience with Atlassian Jira and Confluence
- Strong understanding of cloud networking, security, identity management, and access controls
- Experience troubleshooting complex distributed applications and cloud infrastructure
- Demonstrated experience leading technical initiatives, driving engineering best practices, and influencing technical decisions across teams
- Strong communication, collaboration, and problem-solving skills
- Preferred: 3+ years of experience with GitLab and Microsoft Azure DevOps
- Preferred: 3+ years of Linux system administration and networking experience
- Preferred: 2+ years of experience with Docker, Kubernetes, and Helm
- Experience implementing GitOps practices and workflows
- Experience supporting platform engineering and developer self-service initiatives
- Experience with container security, software supply chain security, and vulnerability management
- Experience with Generative AI and AI-assisted engineering tools such as Microsoft Copilot, Cursor, or similar technologies
- Familiarity with AI governance, security, and responsible AI practices
- Working knowledge of YAML and JSON
- Experience with Nexus or other artifact repository platforms
- Experience with ingress controllers and Kubernetes networking concepts
- Familiarity with Checkmarx and Jmeter
- Experience supporting highly regulated environments such as healthcare, finance, or government
- Exposure to Azure AI, Azure Machine Learning, MLOps, or AI-enabled platform operations
- Home internet through cable broadband or fiber optic service with at least 10Mbps download/5Mbps upload
Benefits:
- Annual bonus plan eligibility
- Medical benefits
- Vision benefits
- Dental benefits
- Well-being and behavioral health programs
- 401(k)
- Company-paid life insurance
- Tuition reimbursement
- Minimum of 18 days of paid time off per year
- Paid holidays
- Leaves of absence
- Cable broadband or fiber optic internet service requirement with at least 10Mbps download/5Mbps upload for home working
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