Staff Engineer Platform Engineering

HighLevel is an AI-powered business operating system supporting SMBs across 150+ countries, enabling growth through automation, communication, and intelligence. The company values innovation, speed, and remote work, with a significant global impact in messaging, leads, and conversations.

Location: India

Responsibilities

• 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