Staff Software Engineer, Service Communications

Intro : The Service Communications team manages the foundational high-layer networking systems ensuring reliable, secure, and performant service-to-service interactions at Pinterest. Our Envoy-based mesh and multi-language frameworks provide critical primitives for hundreds of internal services, and we are looking for a Staff Engineer to lead technical strategy across identity, traffic optimization, and platform scaling.

• Architect and deploy advanced service mesh features, focusing on service discovery, traffic shaping, and deep observability using Envoy proxy.

• Lead the organization-wide adoption of service identity and mTLS to satisfy critical AAA security requirements for service-to-service paths.

• Design traffic optimization primitives like locality-aware routing to materially reduce data transfer costs for high-volume service traffic.

• Maintain and modernize service framework libraries in Java, Python, and C++, enhancing the developer experience and operational reliability.

• Collaborate with service owners across the company to drive adoption and refine infrastructure requirements for emerging feature needs.

• Partner with infrastructure peers on multi-region and multi-cloud strategies that rely on robust service communication primitives.

• Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.

• Join the team oncall rotation to manage incident response, perform post-mortems, and drive long-term reliability improvements.

• 6+ years of infrastructure or platform engineering experience, specifically within distributed systems or RPC framework development.

• Deep technical expertise in service mesh technologies such as Envoy or Istio, including hands-on experience with L7 proxying.

• Proficiency across multiple languages (Java, Python, C++) and a track record of building internal libraries or developer tools.

• Strong understanding of service security, including mTLS adoption and identity management via SPIFFE/SPIRE.

• Proven ability to design highly available and efficient distributed systems at massive scale.

• Demonstrated experience driving the adoption of complex platform capabilities across diverse cross-functional engineering teams.

• Demonstrated experience using AI to accelerate engineering workflows, with a clear approach to validating accuracy and quality.

• Bachelor’s/Master’s degree in Computer Science, a related field, or equivalent experience.

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.