Top Tech Jobs & Startup Jobs

Modernize a legacy operational system using microservices and AWS technologies. Design, develop, test, validate, document, and maintain complex software systems using Java, Spring Boot, Python, REST, CI/CD, Kubernetes, and Docker. Apply computer science, mathematics, probability, and statistics to software solutions. Collaborate with team members and stakeholders, provide training, and deliver briefings and demonstrations.

Designs, develops, integrates, tests, and sustains secure, scalable AWS cloud platforms for federal government customers. Responsibilities include cloud architecture, infrastructure as code, CI/CD automation, monitoring, remediation, cost-benefit analysis, platform operations, performance enhancement, and technical planning. The role requires extensive software development experience, Linux expertise, AWS capabilities, and an active TS/SCI clearance with agency-appropriate polygraph.

Develops, tests, maintains, and enhances complex software systems for federal government customers. Responsibilities include requirements analysis, software design, algorithm development, database interaction, debugging, system integration, technical documentation, quality control, and collaboration with systems and hardware engineering teams. The role also supports Agile/Scrum delivery, process improvement, and small-team leadership while requiring an active TS/SCI clearance with an agency-appropriate polygraph.

Administer and monitor large-scale cloud repositories supporting federal intelligence missions. Responsibilities include Linux systems administration, Hadoop and Accumulo cluster support, troubleshooting, scripting, patching, configuration management, storage and access-control administration, security compliance, cross-team issue resolution, and on-call support.

The Cloud Test Engineer leads manual and automated testing for applications and infrastructure deployed in AWS. Responsibilities include developing test plans and cases, validating functionality, configuration, performance, integrations, and DevOps deployments, troubleshooting automation issues, creating bug tickets, analyzing test results, and supporting Terraform, Kubernetes, and Docker-based cloud environments. The role collaborates with technical teams and solution providers to prepare systems for production and mission-critical federal environments.

Develop and sustain cloud-native software for federal government customers. Responsibilities include building Java or Python microservices, REST APIs, containerized applications, Kubernetes workloads, data pipelines, dashboards, IaC, CI/CD, testing, monitoring, and cloud architectures. The role collaborates with data architects, DevOps teams, and product managers while documenting technical and operational processes.

Design, develop, deploy, and maintain scalable web applications built from containerized services on Kubernetes. Build RESTful APIs and microservices using Python or Java, create data pipelines and interactive dashboards, implement automated testing and CI/CD, and monitor production systems. Collaborate with data scientists, engineers, and product managers while communicating technical designs to diverse stakeholders. The role requires extensive software engineering experience and an active TS/SCI clearance with an agency-appropriate polygraph.

Administer and improve cloud-hybrid infrastructure using AWS, Terraform, and Ansible. Apply SRE principles to automate operations, build resilient systems, and implement monitoring and logging. Perform Linux administration, virtualization, container, and Kubernetes-related tasks while supporting mission-critical federal systems. The role requires strong cloud, systems administration, security, and infrastructure-as-code experience, along with an active TS/SCI clearance and applicable cloud and DoD certifications.

Design, develop, test, integrate, and maintain cloud-based software supporting national security missions. Responsibilities include full software lifecycle activities, CI/CD automation, distributed-system troubleshooting, performance improvements, and operational sustainment. The role uses Java, JavaScript, AWS, Kubernetes, Docker, REST APIs, databases, and modern DevOps practices in an Agile onsite environment.

Develop and lead software solutions for web-based applications supporting intelligence-community data management. Responsibilities include data ingestion and characterization, metadata and schema analysis, analytic development, machine learning, database queries, software process selection, technical leadership, requirements analysis, and quality control. The role requires collaboration with customers, systems engineers, development teams, stakeholders, and leadership while supporting structured and unstructured data processing.