Top Tech Jobs & Startup Jobs

Build and maintain secure cloud infrastructure and CI/CD pipelines using AWS or Azure, Terraform, Docker, Kubernetes, and automation tools. Integrate security controls into development workflows, create Infrastructure as Code and Pipeline as Code solutions, automate deployments, troubleshoot infrastructure and security issues, and support NIST 800-53 compliance. The role also requires cloud architecture assessment, Python scripting, container security, collaboration, and use of AI-assisted development tools.

Build and maintain secure, resilient cloud infrastructure and CI/CD pipelines. Develop Infrastructure as Code and Pipeline as Code solutions, automate security and deployment workflows, manage AWS or Azure environments, Docker containers, Kubernetes clusters, and cloud resources, and troubleshoot infrastructure, network, security, and deployment issues. Integrate NIST-compliant security controls into development processes and use tools such as Terraform, Ansible, Jenkins, Spinnaker, and GitHub Copilot.

Supports secure cloud infrastructure, CI/CD pipelines, infrastructure-as-code, and DevSecOps automation. Assists with AWS or Azure environments, Docker, Kubernetes, Terraform, Ansible, Jenkins, Spinnaker, security controls, vulnerability remediation, and troubleshooting infrastructure and deployment issues. Develops scripts using Python or other scripting languages and uses AI-assisted tools such as GitHub Copilot. The role supports NIST 800-53 compliance and secure software delivery across the development lifecycle.

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

Supports secure cloud infrastructure, CI/CD pipelines, Infrastructure as Code, security automation, and cloud-native platform maintenance. Assists with AWS or Azure environments, Docker containers, Kubernetes, Terraform, Ansible, Jenkins, Spinnaker, and GitHub repositories. Troubleshoots infrastructure and deployment issues, integrates security and compliance controls, and uses Python, Bash, and AI-assisted tools such as GitHub Copilot. The role requires collaboration, continuous learning, U.S. citizenship, hybrid work in Reston, Virginia, and eligibility to obtain a government clearance.

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.

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.