Mid-Level DevOps Engineer

Knowledge Management, Inc.•Washington, DC

1d•Remote

About The Position

Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology, logistics and management solutions to meet real mission requirements. KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research. Since 1998, our solutions and services have helped our clients improve performance, drive cost and operational effectives, and map technology needs for tomorrow's requirements. Knowledge Management, Inc. is seeking a Mid-Level DevOps Engineer to architect, build, and maintain the infrastructure and automation that powers our client's secure, mission-critical applications. This role will heavily focus on implementing best practice CI/CD principles within a GitHub Enterprise environment and eventually migrating the migration of their systems to a Kubernetes cluster-based architecture.

Requirements

Proven experience as a DevOps Engineer in a mid-level role.
Proficiency with GitHub Enterprise and building/managing CI/CD pipelines using GitHub Actions.
Experience with containerization technologies, specifically Docker.
Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Understanding of cloud infrastructure and platforms (e.g., AWS, Azure, GCP).
Experience with monitoring, observability, and alerting tools such as Grafana, Prometheus, and Datadog.
MUST HAVE IRS OR US TREASURY EXPERIENCE

Nice To Haves

Hands-on experience with Kubernetes, including cluster administration, networking, and storage.
An existing US Treasury Public Trust or equivalent Federal security clearance.

Responsibilities

Collaborate with senior engineers to implement and manage CI/CD pipelines using GitHub Enterprise, ensuring best practices for build, test, and deployment automation.
Work closely with development teams to optimize CI/CD pipelines, automate infrastructure provisioning, and enhance platform observability.
Assist in deploying and maintaining enterprise applications on cloud-agnostic microservices architecture.
Implement infrastructure-as-code (IaC) using tools like Terraform to manage cloud resources and ensure consistency and security.
Contribute to the establishment and maintenance of monitoring, observability, and alerting using tools like Grafana and Prometheus to ensure high availability and performance.
Assist in automating infrastructure deployments and manage version control and configuration management tools.
Support the development and implementation of Git branching strategies that gatekeep production deployments and ensure code quality.
Participate in the strategy and execution for migrating applications and services to Kubernetes, enhancing scalability and reliability.