• Design end-to-end technical solutions across applications, integrations, cloud infrastructure, and enterprise platforms • Translate business, product, and mission requirements into scalable architecture strategies • Partner with engineering, DevSecOps, infrastructure, and product teams to drive solution design and delivery • Lead architecture discussions, technical design reviews, and solution decision-making • Define architecture standards, reusable design patterns, and engineering best practices • Guide API architecture across REST and GraphQL services • Design scalable application integration patterns, interoperability strategies, and data flows • Support modernization, cloud transformation, and enterprise platform initiatives • Evaluate technical risks, architecture tradeoffs, dependencies, and implementation approaches • Ensure solutions align with security, compliance, performance, and scalability requirements • Mentor engineering teams and provide architectural leadership across programs

• Lead the technical approach, implementation, and overall workstream execution • Design secure enterprise architecture focused on IAM, Zero Trust, and federal compliance • Develop and customize software solutions to meet user and mission needs • Analyze application and database requirements to optimize performance and efficiency • Partner across engineering, security, and DevSecOps to deliver secure end-to-end solutions • Drive identity modernization, secure integrations, API security, and cloud modernization • Assess technical risks, architecture tradeoffs, and system dependencies • Mentor and oversee software developers while promoting engineering best practices

• Own and drive backend architecture for scalable, secure, and high-performing systems. • Design and build complex transactional workflows such as payments, billing, user management, analytics, and integrations. • Lead backend development using Java, Go, Python, or similar backend technologies. • Mentor engineers and provide technical direction across the team. • Collaborate with product, QA, DevOps, and senior stakeholders to deliver high-impact features. • Ensure code quality through reviews, documentation, best practices, and tooling. • Support infrastructure and DevOps needs, including CI/CD, Docker, Kubernetes, cloud, and monitoring.

- Develop and maintain hands-on, customer-facing full-stack applications using Python / FastAPI / REST APIs and modern front-end frameworks. - Operate as an agentic software engineer—decomposing problems into tasks that AI coding agents can execute, then reviewing, testing, and validating all agent-generated output. - Collaborate with management, stakeholders, and the team to evaluate, plan, and deliver projects involving advertising software systems, components, and features. - Contribute to a culture of transparency by maintaining clear documentation, structured processes, and effective communication—including the prompts, context (AGENTS.md), and MCP configuration that make AI agents productive. - Write production-ready front-end and back-end code integrated with a continuous delivery and deployment pipeline on AWS. - Participate in and improve team Agile practices—supporting learning, growth, and technical maturity. - Create and maintain various ingestion and data pipelines for the GroundTruth platform. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. - Contribute ideas to improve the platform and the team’s use of AI-assisted development.