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Principal Software Engineer

Skills

aiawsazurebackboneci cdcloudcloud nativecsharpdevopsfintechgcpgithubgithub copilotjavapythonsaasPythonJavaC#

Description

With this innovative and distruptive technology company, we aren't just making parts; we are solving the most physical bottleneck in the AI revolution: Heat. While traditional data center cooling is reaching its physical limits, we’ve developed ultra-performant Smartfins technology using proprietary generative algorithms. We are a lean, fast-moving startup bridging the gap between high-level software intelligence and massive-scale hardware manufacturing. If you believe that a design isn't real until it has been stressed, measured, and validated in the lab, you belong here.

As a Principal Software Engineer, you will lead the design and development of our digital backbone from the ground up. This is a high-autonomy, high-impact role where you define both the “how” and the “why” of our technical architecture.

You are a methodical problem-solver who thrives in a design-driven, rapid-iteration environment. Your mission is to transform complex thermal challenges into a secure, scalable, and maintainable SaaS platform capable of handling high-speed, data-intensive workloads aligned with GPU-level performance cycles.

Key Responsibilities

  • Shape Technical ArchitectureOwn the system blueprint. Define, communicate, and guide architectural decisions to ensure the platform is resilient, fault-tolerant, and future-proof.
  • Ship with VelocityDeliver high-quality, secure, and well-tested code quickly. Navigate roadblocks effectively and iterate fast without compromising standards.
  • Elevate Engineering StandardsChampion clean code, strong testing practices, and engineering excellence. Set the benchmark for the entire engineering culture.
  • Own the DFM LoopCollaborate closely with mechanical engineers to integrate “Smartfins” logic into a seamless cloud-based experience, bridging software and physical systems.
  • Automate & ScaleImplement DevOps best practices, including CI/CD pipelines and orchestration tools, to ensure efficient and reliable deployments.
  • Leverage Next-Gen ToolsUtilize AI-assisted tools (e.g., Gemini, Claude, GitHub Copilot) to accelerate development, debugging, and testing processes.

The Essentials

  • Educational BackgroundMaster’s degree in Computer Science or a related technical field — or equivalent hands-on experience.
  • 7+ Years of Engineering ExcellenceProven experience building large-scale, customer-facing SaaS applications in fast-paced environments (e.g., DeepTech, FinTech, high-growth startups).
  • Full-Stack ExpertiseStrong proficiency in modern programming languages such as Python, Go, C#, or Java, with a structured approach to complex data systems.
  • Cloud-Native ExperienceHands-on experience designing, securing, and scaling applications on Azure, AWS, or GCP.
  • Founder's MindsetAdaptable, resilient, and comfortable with ambiguity. Able to navigate shifting priorities and deliver impact without unnecessary bureaucracy.

Nice to Have

  • Background in semiconductor, data center, or AI infrastructure industries
  • Interest in mentoring and growing a high-performing engineering team

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