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The Sr. Quality Automation Tester II will provide cross-team QA support, validate data integrity, and ensure software quality in a classified AWS environment, collaborating with developers and engineers.

Support secure, mission-critical federal platforms by designing and operating CI/CD pipelines, containerized workloads (Kubernetes), secure artifact management, cloud (AWS) deployments, observability, and access controls. Collaborate with developers, data scientists, and government stakeholders to enable secure experimentation, automation, and scale from IL2 to IL4+ environments.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Sr. Software Developer will build and maintain Salesforce solutions, manage integrations, and support compliance while participating in Agile team activities.

Design and implement scalable Salesforce solutions, lead development teams, manage integrations, and mentor junior developers while ensuring security and compliance standards are met.

The Sr. Software Engineer III will architect solutions for federal clients, operationalizing data pipelines and supporting AWS-based applications with a focus on security and leadership interactions.

The role involves architecting solutions for federal clients, supporting AI data pipelines, and providing technical advisory on identity management systems, with a focus on AWS cloud technologies.

This role involves operationalizing data pipelines, deploying ML tasks, and providing architectural support in AWS environments for federal government projects.

As a Full Stack Developer, you will design and maintain secure, containerized environments while implementing identity controls and secure CI/CD pipelines for AI-enabled compliance systems.

Support secure, mission-critical platforms in a federal environment: design and maintain CI/CD pipelines, deploy and operate containerized applications (Kubernetes) in AWS, enforce secure access controls, manage artifact repositories, and monitor platform health while collaborating with developers, data scientists, and government stakeholders.