Top Tech Jobs & Startup Jobs

Owns the software product backlog, prioritizes user stories and epics, defines requirements and acceptance criteria, communicates with stakeholders, and supports Agile ceremonies. Partners with engineering, architecture, UX/UI, marketing, and customer support to deliver products. The role requires technical software or systems engineering experience, cloud and Kubernetes knowledge, front-end development familiarity, DevSecOps experience, and an active TS/SCI clearance. This is a full-time, in-office position in Ypsilanti, Michigan.

Build and deploy complex software applications into operations as a senior platform engineer. Responsibilities include managing Kubernetes deployments, Helm charts, cloud infrastructure, CI/CD pipelines, scripting and automation, containerized microservices, infrastructure as code, troubleshooting, and observability. The role is onsite in Chantilly, Virginia, supports national security customers, requires an active TS/SCI clearance with a fully adjudicated full-scope polygraph, and includes up to 25% travel to Herndon.

Senior Systems Engineer responsible for translating mission and stakeholder needs into software and AI system requirements. Duties include requirements management and traceability, external tool integration, software testing and verification, formal test documentation, user feedback adjudication, and collaboration across software and AI development teams. The role supports customer meetings, government testing, milestone events, and discrepancy review boards. Active TS/SCI clearance with an adjudicated Full Scope Polygraph is required.

Leads and mentors a software engineering team while contributing approximately 75% hands-on to backend development, architecture, testing, code reviews, cloud deployment, and technical problem-solving. The role manages performance, hiring, onboarding, project priorities, and delivery while developing scalable applications using modern languages, databases, APIs, cloud services, and CI/CD practices. Requires active TS/SCI clearance and is based in Aurora, Colorado.

Lead researchers and developers in creating computer vision AI/ML solutions for remote sensing, including automatic target recognition and multimodal EO/SAR data fusion. Analyze datasets, research supervised and unsupervised approaches, train and optimize deep learning models, deploy them to cloud environments, communicate technical findings, and produce documentation. The role requires technical leadership, customer collaboration, and an active TS/SCI clearance.

Senior DevSecOps Engineer responsible for delivering software applications into operations and managing infrastructure, Kubernetes deployments, containerization, automated testing, and CI/CD pipelines. Duties include cloud platform administration, Helm and Argo CD deployments, scripting and automation, troubleshooting, infrastructure as code, and observability. The role requires an active TS/SCI clearance with a fully adjudicated CI polygraph and supports work for national security space programs.

Designs, deploys, and supports complex software applications using infrastructure, DevOps, and platform engineering practices. Responsibilities include managing Kubernetes clusters, Helm deployments, cloud platforms, CI/CD pipelines, scripting and automation, containerized microservices, infrastructure as code, and observability tools. The role requires troubleshooting, collaboration with distributed teams, and delivery of secure systems for national security customers.

Develop and implement AI/ML algorithms across computer vision, NLP, time series, reinforcement learning, and large language models. Analyze multimodal datasets, apply research findings, document systems, support AWS-based training and deployment pipelines, and mentor team members. The role requires substantial AI/ML development experience, advanced Python and machine learning library proficiency, deep learning expertise, and an active TS/SCI clearance.

Leads researchers and developers in building computer vision AI/ML solutions for remote sensing, including automatic target recognition and multimodal EO/SAR data fusion. Responsibilities include preparing datasets, researching supervised and unsupervised methods, training and optimizing deep learning models, deploying algorithms to cloud environments, communicating technical findings, and documenting systems. The role requires active TS/SCI clearance and provides technical leadership from prototype through operational deployment.

Develop and implement AI/ML algorithms for defense and commercial applications, analyzing image, text, and graph datasets to build actionable models. Use cloud services to train and deploy models, apply statistical and machine learning techniques, review research, and create technical documentation. The role involves collaboration with software developers and researchers and requires an active TS/SCI clearance with CI Poly.