Principal Platform Engineer

UMATR; Al Khobar; On-site; SAR 350,000 - 700,000; Full time

Job summary

UMATR is seeking a Principal Platform Engineer to own and shape the platform architecture for a scalable, multi-tenant SaaS offering. You will drive backend design, data pipelines, and secure APIs, with hands-on leadership across distributed systems.

The role emphasizes C#/.NET and AI-enabled capabilities, requiring deep cloud, container, and CI/CD expertise. You will guide engineering standards, collaborate across teams, and influence technology choices while delivering robust, scalable systems

Qualifications

• 10+ years of software engineering experience at senior levels
• Proven experience designing scalable SaaS or distributed systems
• Hands-on backend and distributed systems expertise
• Strong API design experience (REST/GraphQL) and auth patterns
• Experience with cloud platforms (AWS/GCP) and Kubernetes/containers/CI/CD
• Experience with governed data platforms, data lineage or ontologies
• Hands-on with AI integration patterns (LLM prompting, RAG, tool use, agent architectures)

Responsibilities

• Own the technical architecture across backend services, data pipelines and platform infra
• Design scalable, multi-tenant platform capabilities across devices and workflows
• Define data pipelines with contracts, lineage, quality controls and replay
• Build secure, scalable APIs and SDKs for internal teams, partners and AI apps
• Make technology decisions across relational, time-series, streaming and search workloads
• Lead backend platform evolution with C#/.NET; contribute elsewhere as needed
• Shape AI-native capabilities including agents, MCP and model evaluation
• Improve engineering standards across testing, CI/CD, observability and release processes

Skills

Senior leadership

Distributed systems

Backend development

APIs: REST/GraphQL

Authentication: OAuth/JWT/SSO

Cloud platforms: AWS/GCP

Kubernetes & Terraform

CI/CD & observability

AI integration patterns

Tools

C#/.NET

Go

Python

Java

Node.js

Kubernetes

Terraform

AWS

GCP

Job description

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.