Staff Engineer - Platform Engineering

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.