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Sr. Platform Engineer

Job in Irvine, Orange County, California, 92713, USA
Listing for: Origence
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 128600 - 160800 USD Yearly USD 128600.00 160800.00 YEAR
Job Description & How to Apply Below

Origence is always looking for diverse, talented people to join our exceptional team. Current job opportunities are posted here as they become available.

With 30 years at the forefront of fintech innovation, Origence delivers SaaS lending solutions that power credit unions across the United States. Our mission is to enable accessible, competitive lending while strengthening the financial ecosystem for credit unions, their members, and dealer partners.

We operate with a customer-first mindset and a culture of ownership, accountability, and operational excellence. We invest in our people and empower them to innovate, improve, and drive measurable business impact.

About You

You are a self-driven, accountable professional who thrives in a fast-moving environment. You operate with an ownership mindset, are comfortable with ambiguity, and focus on solving business problems through automation, data, and process improvement. You are highly collaborative, detail-oriented, and motivated by measurable impact.

The Sr. Platform Engineer will be responsible for designing, building, and maintaining internal tools and platform capabilities that accelerate software delivery across the organization. This is a software engineering role — you will write production-quality code, design APIs, build automation frameworks, and develop self-service tooling applied to platform and infrastructure problems. You will work across CI/CD pipeline engineering, observability platforms, internal developer portals, infrastructure automation, and developer productivity tooling.

What You’ll Be Doing
  • Build and maintain YAML-based CI/CD pipeline templates in Azure Dev Ops used by dozens of teams and hundreds of services.
  • Design and develop internal tools, CLIs, and REST APIs that enable self-service for product development teams (e.g., automated onboarding, pipeline generation, environment provisioning).
  • Write and maintain Terraform modules for Azure cloud infrastructure, including Container Apps, API Management, networking, and disaster recovery.
  • Extend and integrate Datadog monitoring, build custom dashboards, automate alerting, and instrument platform telemetry using Open Telemetry patterns.
  • Help build and evolve our Internal Developer Portal (IDP) to give developers a unified view of their services, deployments, health, and documentation.
  • Help legacy systems adopt modern CI/CD, Blue/Green deployments, and DR capabilities through template-driven approaches.
  • Build automated compliance gates and security checks that let teams move fast without moving dangerously.
  • Collaborate directly with product developers to understand workflows, reduce friction, and deliver platform capabilities that meet real needs.
  • Spend the majority of your time actively designing and coding. A portion of your time will be spent researching new technology and mentoring other engineers.
The Ideal Candidate

Education:

  • Bachelor's degree in Computer Science, Engineering or related industry experience.

Experience:

  • A minimum of 5 years of professional software engineering experience — you have built and shipped production applications, not just configured infrastructure.
  • Strong proficiency in at least one general-purpose language: C#/.NET, Python, or Type Script/Node.js.
  • Experience with software engineering fundamentals: design patterns, automated testing, code review, version control, and CI/CD as a practitioner.
  • Azure cloud experience — working knowledge of Azure services (Container Apps, App Services, Azure Dev Ops, API Management, or similar).
  • Hands‑on experience with Terraform (preferred) or equivalent Infrastructure-as-Code tools.
  • Experience designing and building REST APIs or automation services.
  • Recent experience utilizing Generative AI techniques including Git Hub Copilot and Prompt Engineering techniques.

Preferred Experience:

  • Experience building internal developer tools, platforms, or productivity tooling.
  • Datadog, Open Telemetry, or other observability platform experience.
  • Experience with developer portals (Backstage, Cortex, or similar).
  • Familiarity with containers and orchestration (Docker, Kubernetes, Azure Container Apps).
  • Experience working in a platform engineering, SRE, or…
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