Senior DevOps Engineer (Only Local Candidate for F2F Interview)

Hybrid in Linthicum Heights, MD, US • Posted 12 hours ago • Updated 12 hours ago
Contract Independent
Contract W2
Hybrid
$55 - $60/hr
Fitment

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Job Details

Skills

  • DevOps
  • Amazon EKS
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Communication
  • IaaS
  • Continuous Integration and Development
  • Continuous Integration
  • Continuous Delivery
  • IT Management
  • Jenkins
  • Kubernetes
  • Terraform

Summary

Role: Senior DevOps Engineer
Location: Linthicum Heights, MD (Hybrid)

Position Description:

The DevOps Engineer drives the reliability, scalability, and security of the Maryland Benefits platform infrastructure. This role focuses on architecting production-grade container orchestration using Amazon EKS and implementing robust Infrastructure as Code (IaC) frameworks using Terraform. This expert will design complex networking and service discovery layers using HashiCorp Consul and AWS App Mesh to ensure seamless communication between microservices. Furthermore, this role is responsible for modernizing deployment strategies by managing advanced Jenkins CI/CD pipelines, ensuring that legacy systems and new AI-driven applications are deployed rapidly, securely, and consistently across all environments.

  1. Leading the architecture, deployment, and lifecycle management of highly available Kubernetes clusters using Amazon EKS (Elastic Kubernetes Service).
  2. Developing and executing strategies for immutable infrastructure provisioning using Terraform, ensuring modular and reusable code for all AWS resources.
  3. Spearheading the implementation of AWS App Mesh to standardize traffic control, visibility, and security across the microservices architecture.
  4. Designing and managing HashiCorp Consul for dynamic service discovery and distributed configuration management across hybrid cloud environments.
  5. Orchestrating complex Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins to automate testing, security scanning, and deployment.
  6. Managing the transition to GitOps workflows for application deployment and cluster configuration management.
  7. Driving the security posture of the infrastructure by implementing fine-grained IAM roles for Service Accounts (IRSA) and network policies within the mesh.
  8. Collaborating with AI and App Dev teams to ensure underlying infrastructure supports high-compute requirements for LLM and AI agent workloads.
  9. Architecting auto-scaling strategies (Karpenter/Cluster Autoscaler) to optimize cost and performance for the Maryland Benefits product suite.

Education: This position requires a Bachelor s degree from an accredited college or university in computer science, engineering, technology, or a related technical discipline; a Master s degree in a related field is preferred.

General Experience: The candidate must have at least eight (8) years of progressive experience in software engineering, systems administration, or DevOps, with a demonstrated track record of supporting high-traffic enterprise platforms.

Specialized Experience:

  • Must have at least five (5) years of experience in a technical lead or senior DevOps role focusing on AWS cloud infrastructure and containerization.
  • Proven experience architecting and managing production Kubernetes clusters using Amazon EKS, including upgrades, node group management, and security hardening.
  • Deep expertise in Terraform for Infrastructure as Code (IaC), with a strong portfolio of writing custom modules and managing remote state.
  • Hands-on experience implementing Service Mesh architectures (specifically AWS App Mesh) and Service Discovery tools (Consul) in a complex microservices environment.
  • Demonstrable experience building and maintaining complex Jenkins pipelines (Groovy scripting) for automated CI/CD.
  • Expertise in AWS networking (VPC, Transit Gateway) and security (Security Groups, NACLs, IAM).
  • Experience with Helm charts for package management and deployment on Kubernetes.
  • Proven ability to troubleshoot complex distributed systems and implement self-healing infrastructure strategies.
  • Excellent leadership, communication, and problem-solving skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172362
  • Position Id: 8922790
  • Posted 12 hours ago
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