Cybermedia Technologies (CTEC) Logo

Cybermedia Technologies (CTEC)

Senior Software Engineer

Reposted 11 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead the design and implementation of APIs, develop data pipelines, and mentor teams on AI integration and Agile methodologies.
The summary above was generated by AI

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers’ bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.


We are seeking to hire a Senior Software Engineer  to our team!

Client:
CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management’s (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO).

Duties and Responsibilities:

  • Cross-Platform Integration: Design and implement robust APIs and middleware that connect AI agents to a mixed-tech stack (Node.js, .NET, Python, etc.), ensuring seamless data flow and interoperability.
  • Technical Mentorship: Guide teams on best practices for integrating non-deterministic AI components into strictly typed mission-critical enterprise applications.
  • Hybrid Workflow Engineering: Develop the orchestration logic that determines when a task is handled by a traditional rule-based system versus an autonomous AI agent
  • Deterministic Guardrail Design: Build "Validation Services" that sit between AI outputs and core systems to enforce rigid business rules,
  • Data-Intensive Development: Use Python and PySpark to build robust data pipelines that feed high-context information into AI models while maintaining traditional SQL-based transactional integrity.
  • System Integration: Proven experience building and consuming RESTful APIs and managing service-to-service communication in a cloud environment (Azure preferred).
  • Modern DevOps: Deep knowledge of Git, Azure DevOps, and containerization (Docker/Kubernetes).
  • CI/CD for Systems: Establish deployment pipelines that include specialized testing for AI and interconnected components, such as prompt versioning, regression testing for model updates, and assisting with chaos-testing of logic flows.
  • Agile Delivery: Lead and participate in Agile development ceremonies, manage work through DevOps tools, and maintain source control using Git-based workflows.

Skills & Work Experience:

  • Professional Experience: At least seven (7–10+) years of experience in software development or application engineering roles, including technical leadership responsibilities.
  • Strong proficiency in SQL for complex data queries, database development, and data-driven application design.
  • Strong proficiency in Python, with experience using PySpark for large-scale data processing.
  • Experience designing and developing applications in cloud environments, preferably Microsoft Azure.
  • Working knowledge of relational and non-relational databases.
  • Experience developing RESTful APIs and integrating web services.
  • Experience with source control systems such as Git and CI/CD pipelines.
  • Strong understanding of SDLC methodologies including Agile and Waterfall.
  • Proven ability to design scalable, high-performance software systems.
  • Excellent problem-solving, debugging, and analytical skills.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

Preferred:

  • Experience with Azure DevOps, Azure Functions, or other Azure application services.
  • Experience with event-driven or messaging architectures.
  • Experience supporting federal IT systems or large enterprise modernization programs.
  • Experience mentoring or leading development teams.

Education:

Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related discipline. Equivalent professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain a Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays


 

Similar Jobs

4 Hours Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Mid level
186K-219K Annually
Mid level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build software at Coinbase while responsibly using and integrating generative AI copilots (e.g., LibreChat, Gemini, Glean). Continuously learn evolving tools, apply human-in-the-loop practices, and deliver business-ready outputs that improve efficiency, cost, and quality. Participate in quarterly in-person working sessions as part of a remote-first culture.
Top Skills: GeminiGleanLibrechat
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data • Cloud • Software • Database
Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.
Top Skills: C/C++ContainerizationDashboardsKubernetesRustTime Series Metrics
Yesterday
Easy Apply
Remote
United States
Easy Apply
167K-231K Annually
Senior level
167K-231K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Build and scale customer-facing and backend systems for Upstart's Auto Secured Personal Loan product. Design eligibility, decisioning, funnel and workflow automation, collaborate with product, risk, and operations, deliver reliable production software in a regulated environment, and drive technical direction and observability for long-term platform expansion.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account