Top Tech Jobs & Startup Jobs

Leads a sprint team’s technical direction, architecture implementation, code quality, reviews, and engineering practices. Mentors developers, resolves technical impediments, coordinates cross-team integrations, and partners with Scrum Masters and Product Owners on sprint delivery. Drives adoption of AI-assisted development tools and ensures solutions follow cloud-native architecture standards.

Leads complex requirements elicitation, analysis, and documentation for IT program delivery. Translates business and regulatory needs into epics, user stories, and acceptance criteria; facilitates backlog refinement and prioritization; models processes and data flows; mentors junior analysts; supports UAT planning and deliverable acceptance; and uses AI-assisted tools to improve requirements analysis and documentation.

Develops database schemas, stored procedures, queries, and data pipelines for a high-volume filing platform. Optimizes database performance, supports data modeling across AWS services, and ensures data integrity, security, and compliance. Collaborates with developers and data architects on data access patterns while using AI-assisted tools for query and pipeline development. The role requires federal-contract support, hybrid work in Reston, Virginia, U.S. citizenship, and eligibility for a government clearance.

Develop and maintain scalable enterprise web applications and cloud services using Python, React.js, Java, Spring Boot, databases, microservices, and AWS. Responsibilities include software design, testing, deployment, troubleshooting, code reviews, documentation, Agile ceremonies, estimation, stakeholder collaboration, and AI-assisted development with GitHub Copilot. The role requires delivery of secure, high-quality solutions in a hybrid, client-facing federal contracting environment.

Designs, develops, tests, deploys, and maintains scalable Python-based web applications and enterprise solutions using React.js, Java, Spring Boot, databases, microservices, and AWS. Collaborates with Agile teams and client stakeholders, participates in code reviews and ceremonies, creates technical documentation, troubleshoots issues, estimates work, and applies test-driven development, automated testing, DevSecOps, and AI-assisted tools such as GitHub Copilot.

Lead complex requirements elicitation, analysis, modeling, and documentation for IT programs. Translate business and regulatory needs into epics, user stories, and acceptance criteria; facilitate backlog refinement; support UAT planning and deliverable acceptance; mentor junior analysts; and use AI-assisted tools to improve requirements analysis and documentation.

Supports quality engineering for the EDGAR 2.0 platform by designing, executing, documenting, and maintaining functional, integration, regression, accessibility, smoke, and user acceptance tests. The role tracks defects, validates fixes, supports automation-ready test assets, participates in Agile ceremonies and release testing, validates AWS cloud-native workflows and interfaces, and uses AI-assisted tools to improve test coverage and reporting.

Lead quality engineering across enterprise AWS applications and Agile releases. Design test strategies, automated functional and API frameworks, accessibility and Section 508 validation, and performance and load testing. Integrate testing into CI/CD and DevSecOps workflows, analyze defects and performance bottlenecks, track quality metrics, and ensure release readiness. Mentor test engineers while collaborating with developers, architects, DevOps, product owners, and program leadership to improve automation, accessibility, scalability, and software quality.

Supports IT delivery teams by eliciting and documenting business and functional requirements, writing user stories and acceptance criteria, modeling processes and data flows, supporting Agile ceremonies and UAT, validating features, maintaining traceability, and using AI-assisted tools for documentation and analysis.

Serves as Scrum Master and Business Analyst for an Agile software delivery team. Facilitates sprint ceremonies, removes impediments, maintains team boards and metrics, coordinates cross-team dependencies, supports backlog refinement and release readiness, and drives continuous improvement through retrospectives. The role also uses AI-assisted delivery tools and requires collaboration with Product Owners, other Scrum Masters, and clients.