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

CATHEXIS•Tysons, VA

24d•$120,000 - $190,000

About The Position

Team CATHEXIS is seeking a Site Reliability Engineer (SRE) with an active Top Secret/SCI Poly clearance or higher. The SRE will manage, monitor, and optimize Kubernetes clusters and help build and deploy data-driven, scalable AI solutions for clients. The role focuses on ensuring the reliability and scalability of Kubernetes clusters and cloud infrastructure, drawing on Kubernetes, cloud infrastructure, and Infrastructure as Code (IaC) practices. The position works across development, services, and operations teams to integrate application development, deployment, and infrastructure. The company describes its culture as collaborative, autonomous, empowering, and focused on integrity, ownership, growth, and purposeful work. The annual salary range is $120,000–$190,000. CATHEXIS states that its final offer may take into account location, qualifications, experience, and skills.

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 programming 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, as well as 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.
Strong verbal and written communication skills for cross-functional collaboration and improving scalability.
Ability to work in an autonomous environment and contribute to team-oriented solutions for complex engineering problems.

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, with strong self-motivation and minimal supervision.
Team-oriented, energetic, 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; maintain Helm charts and services; and manage resource allocation for cluster performance.
Design and maintain Docker-based microservices architecture for consistent, reproducible deployments across staging, QA, and production.
Set up, configure, and manage cloud infrastructure on AWS, Azure, and/or GCP using Infrastructure as Code tools such as Terraform or CloudFormation.
Set up monitoring solutions, define alerts, and manage incident response for issues related to Jenkins or Kubernetes clusters.
Build automation tools for scaling, monitoring, and maintaining infrastructure using tools such as Terraform, Ansible, and Linux.
Collaborate with development, services, and operations teams to integrate application development, deployment, and infrastructure.
Apply security and compliance best practices, including role-based access, encryption, and automated vulnerability scanning.