Principal Platform Engineer

We’re partnering with a fast-growing technology company building connected-worker and operational software for large-scale construction and industrial environments. Their platform brings together data from connected devices, workers and sites to power real-time safety, compliance and productivity applications.

They’re looking for a Principal Platform Engineer to take senior technical ownership across the platform - shaping architecture, solving complex distributed-systems problems and setting engineering standards while remaining deeply hands-on.

What You’ll Do:

• Own the technical architecture across backend services, data pipelines, APIs, SDKs, streaming and platform infrastructure.
• Design and build scalable, multi-tenant platform capabilities that connect workers, devices, sites, events and customer workflows.
• Define governed data pipelines with clear contracts, lineage, quality controls and reliable replay.
• Build secure and scalable APIs and SDKs for internal teams, partners, customers and AI applications.
• Make pragmatic technology and data-store decisions across relational, time-series, streaming, search and vector workloads.
• Drive the evolution of the backend platform, working primarily with C#/.NET while contributing across other languages where appropriate.
• Shape the technical direction of AI-native capabilities, including AI agents, retrieval, tool use, MCP and model evaluation.
• Improve engineering standards across testing, CI/CD, observability, release processes and production operations.

Who We’re Looking For:

• 10+ years of software engineering experience, with sustained impact at Staff, Principal, Lead Architect or equivalent level.
• Proven experience designing and delivering scalable SaaS platforms or complex distributed systems in production.
• Strong backend and distributed-systems expertise, with deep hands-on experience in at least one of C#/.NET, Go, Python, Java or Node.js.
• Strong API design experience across REST and/or GraphQL, with knowledge of authentication and identity patterns such as OAuth, JWT and SSO.
• Experience with GCP and/or AWS, Kubernetes, Terraform, containers, CI/CD and observability.
• Experience working with governed data platforms, ontologies, data lineage or similar systems.
• Hands-on experience with modern AI integration patterns such as LLM prompting, RAG, tool/function calling, MCP or agent architectures.
• Exceptional written and spoken English.

Interested?

Apply today!