DevOps Cloud Engineer - EviCore - Remote

Cigna Healthcare•Massachusetts Work at Home, MA

2d•$123,500 - $205,800•Remote

About The Position

EviCore is seeking a collaborative DevOps Cloud Engineer to improve engineering productivity, platform reliability, and customer experience. The role helps shape DevOps and SecOps practices and accelerates automation, cloud technology adoption, security, operational excellence, and AI adoption. The team focuses on automation, simplicity, security, scalability, and developer enablement. The engineer works with Engineering, QA, Infrastructure, Security, Product Owners, Client Service, and Operations to support efficient product development, release, and deployment. The role includes improving processes and automation, strengthening security and reliability, and helping teams adopt modern engineering practices. It also involves maintaining Azure cloud resources and Kubernetes environments, building CI/CD and Infrastructure as Code solutions, improving observability, and ensuring solutions meet enterprise security, governance, compliance, and operational standards. The position is remote. Employees working from home must have cable broadband or fiber internet with speeds of at least 10 Mbps download and 5 Mbps upload. The anticipated annual salary range is $123,500–$205,800, depending on relevant factors such as experience and geographic location. The position is also anticipated to be eligible for an annual bonus plan.

Requirements

At least 5 years of experience in DevOps, Platform Engineering, Site Reliability Engineering, Infrastructure Engineering, or DevSecOps roles.
At least 3 years of experience with Microsoft Azure cloud services.
At least 3 years of experience with Infrastructure as Code; Terraform is preferred.
At least 3 years of experience with Kubernetes in production environments.
At least 3 years of experience designing, implementing, and maintaining CI/CD pipelines and automation.
At least 3 years of experience implementing security controls, vulnerability remediation, and secure software delivery practices.
At least 3 years of experience with Bash, PowerShell, Python, or similar scripting languages.
At least 3 years of experience with SQL and relational databases such as PostgreSQL.
At least 3 years of experience with monitoring, observability, and alerting tools such as Grafana, Prometheus, Dynatrace, Azure Monitor, and Application Insights.
At least 3 years of experience with deployment methodologies such as Blue/Green, Canary, Rolling Deployments, and Deployment Slots.
At least 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.

Nice To Haves

At least 3 years of experience with GitLab and Microsoft Azure DevOps.
At least 3 years of Linux system administration and networking experience.
At least 2 years of experience with container technologies such as 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 using Generative AI and AI-assisted engineering tools such as Microsoft Copilot, Cursor, or similar technologies to improve software delivery, automation, and operational efficiency.
Familiarity with AI governance, security, and responsible AI practices in enterprise environments.
Working knowledge of YAML and JSON.
Experience with Nexus or other artifact repository platforms.
Experience with ingress controllers and Kubernetes networking concepts.
Familiarity with tools such as 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.

Responsibilities

Drive day-to-day DevOps activities, including intake management, prioritization, planning, and delivery.
Work with 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 tools such as 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 Infrastructure as Code solutions using Terraform.
Design and enhance Continuous Integration and Continuous Delivery frameworks.
Collaborate with cloud architects and engineering teams to develop highly available, scalable, and disaster-recovery-capable solutions.
Improve observability through monitoring, alerting, logging, and performance tuning.
Research technologies, tools, and processes for potential adoption to improve DevOps, SecOps, and platform engineering capabilities.
Enhance CI/CD standards, templates, and onboarding processes to accelerate project delivery.
Evaluate and implement AI-assisted engineering solutions to improve developer productivity, automation, operational efficiency, and incident response.
Ensure solutions align with enterprise security, governance, compliance, and operational standards.