Top Tech Jobs & Startup Jobs

Designs, develops, and enhances complex Java applications and microservices for data-intensive, mission-critical environments. Builds scalable services with Spring Boot, integrates distributed technologies, works with MongoDB, Kafka, JMS, Docker, and Kubernetes, and supports CI/CD and automated software delivery throughout the software development lifecycle.

Develop and enhance scalable Java cloud applications for complex, data-intensive mission environments. Design Java services and Spring Boot microservices, integrate MongoDB, Kafka, and distributed architectures, and contribute throughout the software development lifecycle. Deploy and support containerized applications using AWS, Amazon ECR, and Rancher Kubernetes Engine.

Develop and deploy enterprise full-stack solutions supporting national security missions. Responsibilities span requirements definition, architecture, software development, cloud infrastructure, REST APIs, data engineering, business intelligence, visualization, and AI/ML operationalization. The role requires strong Python and Java skills, AWS experience, enterprise data platform expertise, containerization with Docker and Kubernetes, LLM and prompt engineering knowledge, and the ability to transition analytical models into production.

Deploys, integrates, tests, and evaluates prototype applications in technical lab environments. Maintains Linux systems, networks, storage, servers, infrastructure, and security configurations while supporting engineering teams and customers. Troubleshoots systems and applications, manages PKI and certificates, and builds reliable test environments. Preferred experience includes NGINX, Docker, Red Hat Satellite, cloud platforms, infrastructure as code, configuration automation, monitoring, SELinux, and FIPS-compliant systems.

Administer secure RHEL and Ubuntu environments across connected and disconnected networks, maintain Kubernetes infrastructure, develop Ansible playbooks, and implement secure configuration and monitoring practices. Diagnose infrastructure issues, support IaC and CaC, secure systems using DISA STIGs and NIST controls, manage host-level networking, and produce outage and security incident reports with root cause analysis and corrective actions.

Develop software for modernized technical signals intelligence capabilities. Automate analytical tradecraft, improve workflows, and create new methods for collecting and analyzing information. Collaborate with analysts, developers, and mission stakeholders while applying Python, C++, digital signal processing, signal analysis, communication systems, protocol structures, and application-layer technologies to solve complex signals-analysis problems.

Develop software that automates signals-intelligence analysis, improves analytical workflows, and supports modernization of TechSIGINT capabilities. Collaborate with analysts, developers, and mission stakeholders to translate complex signals-analysis problems into software solutions. Apply expertise in C, C++, Python, digital signal processing, signal analysis, communication protocols, communication systems, and application-layer technologies.

Develop end-to-end applications that help mission analysts access and interpret complex data. Collaborate with stakeholders, data scientists, and analysts to translate operational needs into enterprise solutions. Build front-end interfaces, back-end services, APIs, and integrations with data repositories. Use Python, Java, JavaScript, PySpark, Elasticsearch, and distributed data processing, with opportunities to integrate machine learning, artificial intelligence, and generative AI technologies.

Develop AI-enabled software and production applications that improve cyber operations. Partner with mission operators to identify challenges, rapidly prototype solutions, and apply Python, software engineering, AI, data analytics, cybersecurity, LLMs, Splunk, Kubernetes, Rancher, Airflow, and DevSecOps practices to mission objectives.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.