Site Reliability Engineer - TS/SCI Poly (req-320)

CATHEXIS•Tysons, VA

23d

About The Position

CATHEXIS is seeking a Site Reliability Engineer (SRE) with an active Top Secret/SCI Poly clearance to help build and deploy data-driven, scalable AI solutions. The SRE will manage, monitor, and optimize Kubernetes clusters and cloud infrastructure, ensuring reliability and scalability. The role calls for expertise in Kubernetes, cloud infrastructure, and Infrastructure as Code practices, and involves working across development, services, and operations teams.

Requirements

Active Top Secret/SCI Poly clearance or higher.
Bachelor’s degree in Computer Science or a related field.
At least two years of experience working with on-premise and off-premise cloud environments.
Experience with AWS and/or Azure.
Hands-on experience with open-source technologies such as Linux, Docker, Kubernetes, Terraform, Helm, and PostgreSQL, or similar technologies.
Ability to program using structured and object-oriented approaches in one or more high-level languages, such as Python, Java, C/C++, Ruby, or JavaScript.
Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, and dynamic resource management frameworks such as Apache Mesos, Kubernetes, or Yarn.
Proactive approach to identifying problems, performance bottlenecks, and areas for improvement.
Ability to lead and work independently in an Agile/Scrum environment.
Interest in developing team-oriented solutions to complex engineering problems.
Ability to thrive in an autonomous, empowering, and exciting environment.
Strong verbal and written communication skills for cross-functional collaboration and improving scalability.
Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.

Nice To Haves

Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers such as AWS, Microsoft Azure, or Google Cloud Services.
Experience with deep learning, natural language processing, computer vision, or reinforcement learning.
Ability to communicate highly technical concepts in writing to technical and non-technical audiences.
Ability to work on multiple concurrent projects.
Strong self-motivation and ability to work with minimal supervision.
Team-oriented, energetic, and results- and delivery-oriented approach, with a focus on quality and meeting deadlines.

Responsibilities

Monitor and manage Kubernetes clusters to ensure stability, health, and scalability, and deploy applications and services.
Deploy, monitor, and scale applications on Kubernetes clusters; maintain Helm charts and services; and manage resource allocation for optimal performance.
Design and maintain Docker-based microservices architecture for consistent deployments across staging, QA, and production environments.
Configure and manage cloud infrastructure on AWS, Azure, and/or GCP using Infrastructure as Code tools such as Terraform and CloudFormation.
Set up monitoring solutions, define alerts, and manage incident response for issues related to Jenkins or Kubernetes clusters.
Build automation tools to scale, monitor, and maintain infrastructure using tools such as Terraform, Ansible, and Linux or equivalent technologies.
Collaborate with development, services, and operations teams to integrate application development, deployment, and infrastructure.
Ensure systems follow security and compliance best practices, including role-based access, encryption, and automated vulnerability scanning.