Hypergiant

Solutions Engineer

• Rapid prototyping and demonstration of technical software and hardware solutions in collaboration with developers, designers, product owners, and partner organizations
• Coordinate solution design and architecture with existing product teams
• Analyze technical alternatives and document key decisions
• Address buy / lease / build decisions to support program cost and schedule analysis
• Document architecture and product roadmap in coordination with developers, designers, and product owners
• Support development, test, build, and deployment of software applications to unclassified and classified production environments

Principal Solutions Architect

Product Designer

• Design and prototype command and control systems, complex dashboards, and data visualization tools.
• Work closely with engineers and stakeholders to ensure usability, performance, and precision.
• Conduct user research and usability testing, integrating feedback into iterative design cycles.
• Collaborate in the creation and evolution of design systems and component libraries.
• Translate technical requirements into elegant, intuitive user experiences.

Senior UX/UI Designer

Full-stack Engineer

• Lead end-to-end technical architecture for multiple products or services, defining standards and ensuring scalability, performance, and maintainability.
• Design system interfaces and integration patterns that enable reuse and interoperability across Hypergiant’s C2 portfolio.
• Evaluate emerging technologies, conduct build-vs-buy analysis, and document key architectural decisions and trade-offs.
• Partner with cloud and infrastructure teams to ensure solutions align with IL4/IL5 and FedRAMP security frameworks.
• Provide expert guidance across front-end, back-end, and data layers — enabling high-scale, real-time systems.
• Oversee design and implementation reviews to ensure code quality, security, and system reliability.
• Drive modernization initiatives (e.g., containerization, observability, CI/CD optimization) across delivery teams.
• Collaborate with product owners and technical leads to shape roadmaps and technical milestones that align with program objectives.
• Identify and champion reusable frameworks, libraries, and shared components across teams and programs.
• Act as the connective tissue between architecture councils, delivery teams, and client stakeholders.
• Provide leadership on incident response and system performance issues, leading root cause analysis and long-term resolution.
• Mentor and coach engineers across the organization, fostering technical depth and independent problem solving.
• Contribute to internal engineering standards, code quality guidelines, and best practices documentation.
• Lead by example through hands-on contribution to complex or high-risk projects.

Senior Staff Software Engineer

Data Engineer

• Work alongside balanced agile delivery teams on highly complex DoD projects
• Develop a data service for command and control (C2) software

Senior Data Engineer

Data Scientist

• Design, build, and continuously improve machine learning, deep learning, and optimization models to support predictive and prescriptive analytics.
• Explore, clean, and transform large and complex datasets to extract actionable insights and support modeling pipelines.
• Create and optimize SQL queries and data pipelines leveraging BigQuery for data preparation, feature engineering, and performance optimization.
• Develop, train, and evaluate models using Vertex AI, ensuring scalability, robustness, and maintainability in cloud-based deployments.
• Apply statistical, mathematical, and optimization techniques to solve complex business problems and improve model accuracy and efficiency.
• Contribute to reusable modeling components, shared libraries, and collaborative codebases for standardizing experimentation and deployment practices.
• Participate in the full model development lifecycle—including requirement gathering, model design, training, validation, deployment, and monitoring—within an agile, iterative framework.
• Collaborate with product owners, analysts, and engineers to define measurable objectives and align model outcomes with business needs.
• Communicate analytical findings and model results clearly through visualizations, dashboards, and presentations for both technical and non-technical stakeholders.
• Ensure model reliability, explainability, and ethical AI compliance through effective validation, peer review, and documentation.
• Stay current with emerging trends in machine learning, deep learning, generative AI, and MLOps to drive continuous innovation and technical excellence.

Data Scientist II

Product Manager

• Own the QA vision: Collectively define and refine the reliability & QA automation strategy and roadmap with all stakeholders; translate product risks into a prioritized plan with measurable outcomes.
• Implement the QA solution: work with engineering leadership to select tools, design the test pyramid, and stand-up automation frameworks for orchestration of complex software components, associated datasets, and APIs.
• Integrate into CI/CD: working with cloud / DevOps staff, implement gated pipelines, test artifact retention, release candidate process / versioning, and release criteria (coverage, pass rate, performance thresholds, process exceptions).
• Non-functional quality: introduce automated performance / load / fault tolerance, accessibility, visual regression, and security / compliance checks into pipelines.
• Release safety: Working with the software principals across product development and delivery, implement automation to support enhanced software release and deployment (e.g., feature flags, automated smoke checks, and software version rollback solutions).
• Metrics & reporting: Work with engineering leadership to define and publish software quality metrics and performance indicators (e.g., DORA)
• Backlog leadership: maintain a groomed backlog of reliability improvements and automation work; make technical and resource tradeoffs that protect velocity without sacrificing stability.
• Team enablement: coach “shift-left” practices, create playbooks, host lunch-and-learns, and contribute reference tests/components to shared libraries for software developers to easily reuse.
• Hands-on delivery: author test and QA specifications, write sample tests/utilities, review PRs, and drive cross-functional execution to demonstrable outcomes.
• Operational excellence: run post-incident reviews, drive corrective actions into roadmap, and continuously reduce toil with tooling and automation.
• AI augmentation: evaluate and introduce agentic AI-driven test automation to accelerate test creation, self-healing, failure analysis, and predictive quality insights.

Lead Product Manager

DevOps Engineer

• Assist in solving technical challenges and adapt to new technologies with guidance from senior engineers.
• Conduct technical analysis of operating systems, applications, databases, networks, and storage systems.
• Establish and configure infrastructure using infrastructure as code and automated configuration tools.
• Support and maintain a robust DevSecOps platform supporting agile software development.
• Create and manage CI/CD pipelines using GitHub and Gitlab following organizational best practices.
• Deploy and manage applications using Docker and Kubernetes.
• Configure and operate monitoring and alerting solutions for cloud infrastructure.
• Apply security controls compliant with NIST 800-171, DoD Cloud Computing SRG, CMMC, and FedRAMP under senior engineer direction.
• Develop scripts and automation to support engineering teams.
• Introduce DevSecOps practices and tools to engineering teams.
• Contribute to DevOps best practices in areas such as code health, testing, deployment, monitoring, and alerting.
• Support cost optimization efforts by monitoring service usage and assisting with auto-scaling configurations.

Intermediate DevOps Engineer

• Create and maintain data pipeline architectures.
• Assemble large, complex data sets for project teams and data scientists.
• Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, NoSQL, and ‘big data’ technologies.
• Design and implement automated solutions for common data transfer or transformation tasks.
• Build analytics tools that utilize the data pipeline to provide actionable insights.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across multiple data centers and cloud services.
• Create data tools for data scientists that assist them in building and optimizing their models.
• Document and version schema changes across all database stacks.

Frontend Engineer

• This position requires active U.S. national security clearance and the ability to obtain one. To learn more about the security clearance process please access this link. Additionally, travel may be required to customer and subcontractor sites as well as other office locations.
• Hypergiant, an Accelint company, empowers forward-thinking organizations with AI-driven solutions to stay ahead. Our geographic presence spans the U.S. and allied partners, with facilities in key Defense Technology hubs from Southern California to Washington, D.C. We provide large enterprises – across industries like the Defense Department, energy, healthcare and aviation – with bespoke technology solutions, cutting-edge advice, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. At our core, we are military experts, researchers and technologists who want to accelerate intelligence to deliver strategic insights that turn future challenges into today’s opportunities.
• We are looking for a Senior Front End Developer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically the development of command and control (C2) software. Hypergiant with its partners is building an innovative cloud-based command and control system that seamlessly integrates existing capabilities and provides automation that improves efficiency and effectiveness of mission planning and execution. A perfect candidate is able to write high-quality code, integrate with partner capability providers, and ensure code and product quality. This position will work alongside our development team and other capability providers on highly complex DoD projects.
• Duties and Responsibilities:
• Build and maintain React-based web applications
• Contribute to the development and maintenance of reusable component libraries and shared codebase
• Write high-quality code, applying best practices, coding standards, and design patterns
• Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
• Participate in code reviews and ensure code quality through effective testing strategies
• Collaborate with developers, designers, testers, project managers, product managers, and project sponsors
• Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
• Team with other developers, fostering a culture of continuous learning and professional growth

Senior Frontend Developer

• Hypergiant, an Accelint company, empowers forward-thinking organizations with AI-driven solutions to stay ahead. Our geographic presence spans the U.S. and allied partners, with facilities in key Defense Technology hubs from Southern California to Washington, D.C. We provide large enterprises – across industries like the Defense Department, energy, healthcare, and aviation – with bespoke technology solutions, cutting-edge advice, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning.
• We are looking for a Senior Fullstack Developer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically the development of command and control (C2) software. Hypergiant with its partners is building an innovative cloud-based command and control system that seamlessly integrates existing capabilities and provides automation that improves efficiency and effectiveness of mission planning and execution. A perfect candidate is able to write high-quality code, integrate with partner capability providers, and ensure code and product quality. This position will work alongside our development team and other capability providers to integrate AI / ML capabilities to a high performance UI.
• Role & Responsibilities
• Develop an "AI abstraction layer" consisting of backend and frontend software components that will enable the integration of any AI algorithm to a React-based application
• Develop server-side / back-end application logic and database schema that integrate the work of front-end developers
• Contribute to the development and maintenance of reusable component libraries and shared codebase
• Write high-quality code, applying best practices, coding standards, and design patterns
• Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
• Participate in code reviews and ensure code quality through effective testing strategies
• Collaborate with developers, designers, testers, project managers, product managers, and project sponsors
• Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
• Ensure seamless integration with backend systems, including databases, data pipelines for ML, and messaging systems
• Team with other developers, fostering a culture of continuous learning and professional growth

Senior Fullstack Developer

• Act as a product owner/manager for the Hypergiant DOD product. You’ll be intimately involved with the Next Generation Command and Control (NGC2)NGC2 and Project Convergence product owners/manager, DoD stakeholders, including senior military leaders, program managers, and subject matter experts.
• Develop and maintain a deep understanding of the DoD's mission, priorities, and key initiatives, and translate that knowledge into product requirements and roadmaps.
• Work closely with ABMS and Overmatch team of teams, including engineering, design, and data science, to define product features, prioritize development, and ensure successful delivery of the required training documents.
• Collaborate with sales and business development teams to identify new opportunities and develop go-to-market strategies that align with DoD requirements.
• Ensure that products meet or exceed DoD security, compliance, and performance standards, and work closely with internal teams and external auditors to maintain compliance.
• Represent the company at industry events, conferences, and trade shows, and maintain a deep understanding of market trends and competitive offerings.

Lead Product Manager 

• Hypergiant, an Accelint company, empowers forward-thinking organizations with AI-driven solutions to stay ahead. Our geographic presence spans the U.S. and allied partners, with facilities in key Defense Technology hubs from Southern California to Washington, D.C. We provide large enterprises across industries like the Defense Department, energy, healthcare and aviation – with bespoke technology solutions, cutting-edge advice, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. At our core, we are military experts, researchers and technologists who want to accelerate intelligence to deliver strategic insights that turn future challenges into today’s opportunities.

• We are looking for a Senior Data Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically the development of a data service for command and control (C2) software.