# Staff Engineer - Platform Engineering

**Company:** [GoHighLevel](https://hotfix.jobs/companies/gohighlevel)
**Location:** Remote
**Role:** Backend Engineering
**Experience:** 9+ years
**Skills:** Node.js, Go, GCP, Distributed Systems, Microservices, APIs, CI/CD, Observability, Kubernetes, Service Mesh, Infrastructure Automation, Event-Driven Architecture, Streaming Systems, Ai-Assisted Development, Sdlc Automation
**Posted:** 2026-05-13

> Staff-level platform engineer responsible for designing scalable frameworks, SDKs, and core backend services in Node.js and Go on Google Cloud. The role requires 9+ years of experience with distributed systems, high-scale operations, technical leadership, and AI-enabled engineering productivity.

## Job Description

## Responsibilities
- Architect, develop, and maintain reusable frameworks, SDKs, and core platform services using Node.js and Go.
- Build scalable, cloud-native solutions leveraging Google Cloud Platform (GCP).
- Design and optimize systems for large-scale data and high-throughput workloads.
- Contribute to high-performance service architectures with strong reliability and observability standards.
- Lead technical design reviews, establish engineering best practices, and mentor senior engineers across teams.
- Drive architectural decisions for scalability, performance, security, and maintainability.
- Partner with product, infrastructure, and engineering teams to deliver reliable platform capabilities.
- Improve developer productivity through internal tooling, shared libraries, and scalable engineering foundations.
- Lead initiatives using AI across code generation, testing, developer tooling, incident analysis, and SDLC automation.
- Build and evolve systems, platforms, and engineering processes that improve SDLC efficiency, release velocity, reliability, and developer experience.
- Own critical platform initiatives from architecture through production operations.

## Requirements
- 9+ years of software engineering experience, with demonstrated success building distributed systems or large-scale backend services.
- Hands-on experience designing, optimizing, and scaling large-scale backend systems and data-intensive applications.
- Strong understanding of distributed systems, microservices, APIs, CI/CD pipelines, and observability frameworks.
- Experience with AI-assisted engineering workflows and systems or processes that improve SDLC effectiveness and engineering productivity.
- Proven ability to provide technical leadership, navigate ambiguity, and deliver impactful engineering outcomes.
- Experience operating systems at high scale with a focus on performance, reliability, and resiliency.
- Strong problem-solving skills and the ability to simplify complex technical challenges.

## Nice to Have
- Experience building internal platforms, frameworks, or developer tooling used across multiple teams.
- Strong expertise in Node.js, Go, and cloud infrastructure, preferably GCP.
- Familiarity with Kubernetes, service mesh technologies, and infrastructure automation.
- Experience in high-traffic SaaS environments focused on scalability and resilience.
- Exposure to event-driven architectures, streaming systems, or large-scale data platforms.
- Experience evaluating or implementing AI-enabled developer platforms, coding assistants, or SDLC automation systems.

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