Top Tech Jobs & Startup Jobs

Build and maintain enterprise data pipelines and infrastructure supporting natural-language querying, semantic search, knowledge graphs, and GraphRAG for the SEC. Responsibilities include onboarding data sources, processing XBRL and financial filing data, managing metadata and lineage, validating data quality, monitoring pipeline health, resolving integration issues, and using AWS data services. The role also requires compliance with federal security standards and collaboration with the Data Architect.

Build and maintain pricing models for federal contract proposals, analyze solicitations and cost inputs, perform cost realism and price-to-win analysis, and support subcontractor pricing. Prepare financial presentations, maintain historical pricing data, and ensure compliance with FAR/DFARS requirements. Collaborate with finance, growth, operations, and leadership throughout the capture-to-submission and negotiation lifecycle.

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.

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 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.

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.