Software Design Engineer

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

 

In This Role

In this role, you will join a highly technical engineering team responsible for designing, building, securing, and operating large‑scale data and platform services. You will work closely with experienced engineers and an engineering manager to deliver features end‑to‑end—including design, development, validation, deployment, and production support. The work is primarily execution‑focused, emphasizing secure, reliable, and compliant systems, with a strong emphasis on engineering best practices and operational excellence.

Responsibilities

• Design, develop, test, and maintain software components that support platform reliability, monitoring, diagnostics, and operational health.
• Implement security‑focused improvements, including fixing code vulnerabilities, securing service endpoints, and rotating/updating identities and secrets.
• Execute governance and compliance initiatives such as data partitioning, access controls, and physical or logical security restrictions.
• Build, enhance, and maintain CI/CD pipelines and follow established engineering and deployment practices.
• Develop and support data and processing pipelines across distributed and big data platforms, including large‑scale storage and compute systems.
• Diagnose, troubleshoot, and debug complex issues in development, pre‑production, and production environments.
• Investigate production incidents, perform root‑cause analysis, and implement durable, long‑term fixes.
• Collaborate closely with full‑time engineers to accelerate ramp‑up and knowledge transfer.
• Work primarily in a heads‑down execution model, completing high‑priority deliverables efficiently and with high quality.
• Follow approved access and operational processes when working in secured environments.

Qualifications (Required)

• Professional software development experience in Rust, Java, C, or C++.
• Strong problem‑solving and debugging skills, with a demonstrated focus on engineering quality and reliability.
• Experience developing cross‑platform software for both Windows and Linux environments.
• Hands‑on experience with modern engineering practices and tools, such as:
  • Version control systems
  • CI/CD pipelines
  • Automated testing frameworks
• Ability to design, build, and operate secure, performant, and highly available systems.

Preferred Qualifications

• Experience building or maintaining Linux‑based components used for monitoring, diagnostics, or fleet/service health.
• Familiarity with big data and distributed systems, such as large‑scale storage, data processing frameworks, or cloud‑based data platforms.
• Knowledge of observability practices, in