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!
