Top Tech Jobs & Startup Jobs

Develop and maintain Linux-based tools and services supporting products including GitLab, Artifactory, MinIO, Jupyter, and SPARTANDESK. Build Java applications and Bash, Python, and PHP automation scripts; implement infrastructure as code with Ansible; manage CI/CD pipelines, Docker containers, Git workflows, and system documentation. Collaborate with developers, administrators, project managers, and mission customers to deliver integrations and sustain mission applications.

Develop scalable backend Java REST APIs and services in Linux/Unix environments. Responsibilities include backend architecture, distributed systems, API design, debugging, code reviews, automated testing, CI/CD, DevOps, and technical collaboration within Agile teams. The engineer will support complex customer solutions and contribute to mission-focused software development.

Develop and maintain system management infrastructure software and services for high-performance computing systems in Linux environments. Responsibilities include software development in Python and Rust, Bash/Python automation, Ansible-based deployment orchestration, Linux administration, authentication and authorization controls, CI/CD implementation with GitLab CI, and Git-based development within Agile methodologies.

Develop and maintain Java software on a small, mission-focused team supporting national security. Responsibilities require building REST-based applications, using Git, Gradle, Guice, Docker, and Linux, with potential work involving ELK, MongoDB, Ansible, Kubernetes, Angular, and TypeScript. The role requires a current Top Secret/SCI clearance with favorable polygraph, U.S. citizenship, a bachelor's degree in a relevant engineering or computer science field, and at least 14 years of software engineering experience.

Develop and maintain software solutions using AWS managed services and technologies including Hadoop, Accumulo, Terraform, Java, and Python. The engineer will support mission-focused government programs, innovate on technical solutions, and deliver software within projects of similar scope and complexity. The role requires a Top Secret/SCI clearance with favorable Polygraph and U.S. citizenship.

Develop and maintain reliable, scalable, and observable data workflows and automation pipelines using Apache Airflow. Build DAGs, scheduling, operators, and sensors; automate processes with Bash; develop in Python and Java; process distributed big data with Apache Spark; and use containers, Linux, Git, and cloud technologies. Collaborate with data engineers, platform teams, and stakeholders to deliver secure, production-ready solutions supporting mission-critical operational and analytics use cases.

Design, develop, and maintain automated UI and API tests using Cypress. Execute test suites, analyze results, document defects, and integrate testing into GitLab CI/CD pipelines. Collaborate with Agile software developers, system engineers, DevOps, and product owners to validate features, improve coverage, and support system modernization.

Develop and test software using C++, Python, and Shell scripting. Modernize build processes, implement CI/CD and continuous testing, and support customer test infrastructure involving SDRs, servers, and related hardware. The role supports national security missions and requires extensive software engineering experience, a bachelor’s degree or equivalent experience, and an active Top Secret/SCI clearance with a favorable polygraph.

Develop, sustain, test, integrate, and troubleshoot software applications supporting national security missions. The role requires Linux, Bash, Python, MongoDB, Docker, Kubernetes, CI/CD, Helm, RabbitMQ, Ansible, and Git experience, with PostgreSQL and Atlassian tools preferred. Candidates must hold an active Top Secret/SCI clearance with a favorable polygraph and be U.S. citizens. Education and experience requirements vary by degree, with three to seven years of relevant software engineering experience.

Administer, maintain, monitor, and support Kubernetes-based PaaS infrastructure within a secure Linux environment. Responsibilities include cluster administration, workload troubleshooting, performance and reliability optimization, security compliance, automation with Ansible, Helm chart development, scripting with Bash and Python, container management, monitoring with Prometheus and Grafana, and Git-based collaboration.