Jobs at Oddball

Lead product for backend capabilities of a VA veteran health portal: own backlog, write user stories and acceptance criteria, partner with engineering/design/VA stakeholders, run Agile ceremonies, track delivery, prioritize using data and research, and communicate progress to stakeholders.

Lead cross-functional technical response efforts for VA systems: plan projects, track milestones, coordinate resources, communicate with stakeholders, drive rapid resolution of enterprise-level technical issues, and manage project tracking in Jira.

Build and maintain CI/CD pipelines and automated deployment workflows. Provision and manage AWS infrastructure using Terraform. Operate Kubernetes and containerized environments (EKS, ECS, Fargate) and tooling such as Argo Workflows. Support AI engineering platform adoption and partner with DevOps, Architecture, and Development teams to implement scalable, secure infrastructure patterns and internal developer tooling.

Lead the frontend of a large healthcare application using TypeScript and React. Guide architecture, conduct code reviews, enforce test-first practices, and embed WCAG/Section 508 accessibility. Integrate AI coding assistants, collaborate on RESTful API integration with backend teams, mentor engineers, and participate in Agile planning and release readiness for a customer-facing product serving millions.

Lead design and delivery of federal software solutions; support capture and proposal efforts; author technical volumes; ensure compliance with NIST/FedRAMP/FISMA/Section 508; build reusable solution patterns; write maintainable code and establish engineering practices.

Lead hands-on full stack development across prototypes and production systems, collaborate with architects and designers, evaluate emerging technologies (including AI/ML and Generative AI), write well-tested code, support architecture decisions, mentor junior engineers, and drive technical discovery in ambiguous problem spaces.

Design, build, and deploy production ML and GenAI solutions from prototyping through serving. Apply supervised/unsupervised/deep learning and NLP to structured and unstructured data, implement data pipelines and feature engineering, evaluate model performance/bias/drift, and collaborate with engineers and product teams to integrate models into services and APIs while contributing to architecture, scalability, and documentation.

Build and maintain data marts, materialized views, and ETL/ELT pipelines in an AWS-hosted data lake. Design and optimize data workflows, monitor infrastructure health and data quality, support PostgreSQL migrations, collaborate with cross-functional teams, and ensure compliance with federal data security (FISMA/NIST 800-53).

The Back End Engineer will develop and maintain backend services and REST APIs for Healthcare.gov tools, ensuring performance, reliability and security while collaborating with cross-functional teams.

Design and own an enterprise-scale, multi-cloud data and analytics platform for the VA. Lead migration and modernization, implement governance/security/compliance for sensitive PII/PHI, enable AI/ML capabilities, support ingestion and interoperability across VA systems, and produce architecture and compliance documentation while collaborating with engineers, analysts, and stakeholders.

Build, enhance, and maintain backend services and REST APIs in Go; develop ETL pipelines in Python; design reliable PostgreSQL-backed APIs; use AWS services (S3, Lambda, Step Functions, Glue) for data processing; write well-tested, secure code; support operations and maintenance; participate in code reviews and cross-functional Agile collaboration.

Lead content strategy and production for government proposals (RFPs, RFQs, RFIs), coordinating with capture, BD, and SMEs to produce compliant, persuasive technical and management volumes, graphics, and presentations. Drive peer reviews, ethical AI use in drafting, and improvements to the proposal process to win federal work.

Design, build, and document CI/CD pipelines with GitHub Actions; provision infrastructure with CloudFormation and Terraform; manage AWS services (ECS, S3, Lambda, RDS); support Docker containers and Linux systems; and help define data science tooling (SageMaker, DataZone, Athena) while collaborating in an Agile team.