Staff Software Engineer

Job Summary

Build Distributed Systems at Global Scale - Join Harness Feature Management & Experimentation (FME)

Last year, the Harness FME platform evaluated 4 trillion feature flags. For most people, that's just an impressive number. For a scale-minded builder and engineering leader, it represents one of the most demanding challenges in distributed systems.

To power this scale, we've built:

• Massive global concurrency supporting millions of real-time decisions.
• Millisecond-level latency through a globally distributed feature flag delivery network.
• Tier-one enterprise reliability trusted by the world's most sophisticated companies.

About the Role

• Design and develop scalable backend services using Java/Golang
• Architect and maintain distributed microservices-based systems.
• Build reliable APIs and internal platform services using REST(gorilla.mux, alice.chains) and gRPC.
• Optimize system performance across compute, memory, storage, and networking layers.
• Work with PostgreSQL, Redis, S3, and AWS cloud infrastructure.
• Deploy and manage cloud-native applications using Docker and Kubernetes.
• Troubleshoot complex production and infrastructure-level issues.
• Drive engineering best practices, code quality, and system reliability.
• Mentor engineers and contribute to technical leadership across teams.
• Collaborate cross-functionally to deliver scalable and resilient solutions.

About you

• 8-11 years of software engineering experience with strong proficiency in Go, C++ and Java.
• Deep understanding of computer science fundamentals, including data structures, algorithms, concurrency, memory management, CPU/process architecture, containers, cgroups, and filesystems.
• Strong experience designing and building scalable distributed systems and microservices architectures.
• Hands-on expertise with PostgreSQL (including pgx driver), Redis, and object storage systems such as S3.
• Solid experience working within AWS environments and familiarity with core cloud infrastructure concepts including VPCs, load balancers, auto scaling, and compute instances. Exposure to Azure or GCP is a plus.
• Experience building and operating cloud-native applications using Docker, Docker Compose, Kubernetes, and related orchestration tooling.
• Strong understanding of API design and backend communication patterns, including REST APIs, gRPC, and middleware frameworks such as gorilla/mux and alice.
• Proficient with Git-based development workflows and modern software delivery practices.
• Excellent debugging and problem-solving skills, including the ability to diagnose infrastructure, networking, and system-level issues beyond application code.
• Strong communication and collaboration skills with the ability to operate independently in fast-paced engineering environments.
• Proven experience mentoring engineers, driving technical discussions, and leading initiatives across teams

Nice-to-have

• Prior experience writing security policies for API gateways or load balancers.
• Contributions to open-source projects.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.