Kubernetes Software Engineer (TS/SCI with Poly Required)

GCI, embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

At GCI, we solve the hard problems. As a Kubernetes Software Engineer, a typical day will include the following duties:

 

The Senior Kubernetes/ Container/ Containerization DevOps Software Engineer will orchestrate Docker Container deployments on Kubernetes to deliver complex software products.  

This is a great opportunity to work with an elite cross functional team of other K8S Dev Ops Engineers, and Cloud Operations professionals. This position will support customer facing projects involving, but not limited to, application containerization, pipeline implementation and management, infrastructure as code development, automation development, and cloud migrations. Bring your own experience and work with our team to teach and learn while building, maintaining, and supporting our customer environments.  The ideal candidate should embody a passion for continuous improvement and innovation. 

 

KEY RESPONSIBILITIES  

Assist with cloud development pipeline designs, implementation plans, operational documentation, and continual improvement of cloud service implementations and designs. 

Evaluate and recommend potential improvements for inclusion into customer environments. 

Shepard software baselines through the stage, deploy, verify, monitor, and respond phases of a CI/CD pipeline 

Design and implement cloud-based deployment solutions for enterprise applications. 

Improve and troubleshoot existing container orchestration environments. 

Assist with implementing and improving pipeline processes including, dev/test/prod builds/releases. 

Troubleshoots complex problems and provides customer support for containerization issues.  

Provide recommendations for continuous improvement.  

Work alongside other engineers on the team to sustain and advance our organization’s capabilities. 

 

EDUCATION AND EXPERIENCE 

Bachelor's degree in Computer Science, Information Technology, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience. 

5 or more years of hands-on experience in Software Engineering. 

 

REQUIRED QUALIFICATIONS 

Experience in container technologies such as Docker. 

In-depth comprehension of container orchestration platforms, notably Kubernetes. 

Proficient in scripting languages including Python, Bash and configuration formats like JSON and YAML. 

Proficiency in utilizing Helm, Docker Compose and Terraform. 

Strong command of AWS Cloud Services. 

Sound knowledge of Linux Operating Systems.  

Understanding of PKI, TLS and X.509 Authentication. 

Must be committed to adopting and adhering to best practices.  

Strong analytical and problem-solving skills. 

Ability to collaborate and work effectively in a team environment. 

Must be able to effectively plan and prioritize tasking. 

Capability to mentoring, and training with technical initiatives. 

Must be capable of performing high quality work both independently, and with a team, in a fast-moving environment. 

 

DESIRED QUALIFICATIONS 

Familiarity with ML Hosting technologies such as SageMaker and NVIDIA Triton. 

Knowledge of monitoring and logging tools like ELK, Prometheus, Elasticsearch, Logstash and Kibana, PostgreSQL or other database engines. 

Demonstrated understanding of GitOps principles and tools like Flux and ArgoCD 

Familiarity with cloud platforms such as EKS, Rancher, AKS and expertise in AWS and/or Azure. 

Experience in managing and troubleshooting GPU-based workloads, including CUDA. 

Knowledge of dependency management tools such as Python Poetry and Conda. 

Understanding of programming and software development using Java, JavaScript, C/C++ 

Familiarity with authentication protocols such as OAuth and Keycloak. 

Experience with web frameworks such as Fast API, SpringBoot and Express. 

Demonstrated hands on experience working with Demonstrated hands-on experience working with Hadoop, Apache Spark and their related ecosystems.

 

*A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.