Architect, develop, and maintain reusable frameworks, SDKs, and core platform services using Node.js and GoLang
Build scalable, cloud-native solutions leveraging Google Cloud Platform (GCP)
Design and optimize systems that efficiently handle large-scale data and high-throughput workloads
Contribute to high-performance service architectures capable of handling massive scale 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 cross-functionally with product, infrastructure, and engineering teams to deliver reliable platform capabilities
Improve developer productivity by building internal tooling, shared libraries, and scalable engineering foundations
Lead initiatives that leverage AI effectively across engineering workflows, including 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
Take ownership of 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 leveraging AI-assisted engineering workflows and building systems/processes that improve SDLC effectiveness and engineering productivity
Proven ability to lead technically, navigate ambiguity, and deliver impactful engineering outcomes
Experience operating systems at high scale with a strong focus on performance, reliability, and resiliency
Strong problem-solving skills with the ability to simplify complex technical challenges