Senior Performance Engineer

Salesforce•Boston, MA

1d•$148,500 - $246,000

About The Position

Salesforce is hiring a Senior Performance Engineer for Agentforce Operations, an AI-powered platform for designing, automating, and orchestrating end-to-end supply-chain business processes. The team operates as a high-velocity startup-within-Salesforce, with the autonomy of a small team and the backing of Salesforce. The role joins the team as customer adoption accelerates and the product faces scaling, reliability, observability, and performance challenges. The engineer will develop a deep understanding of the product architecture and deliver end-to-end optimizations across the stack to improve scalability, resilience, reliability, and performance. Areas of focus include data-model optimization, asynchronous operations, infrastructure profiling and rightsizing, and building tools and observability to run experiments and validate outcomes. As the application-performance subject matter expert, the engineer will operate with meaningful autonomy, align work across engineering, raise system quality, mentor peers, and help the team meet ambitious scaling goals.

Requirements

At least 5 years of industry experience as a backend engineer building and operating user-facing applications and their underlying infrastructure.
Mastery of Golang, GraphQL, and Postgres, with demonstrated experience delivering high-performance optimizations.
Experience with a major public cloud provider; AWS is preferred.
Deep expertise in multiple backend engineering areas, such as data modeling, database performance tuning, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling.
Repeated ownership of foundational system work in complex distributed systems, from diagnosing architectural problems through designing solutions and driving team adoption.
Excellent writing and speaking skills, including the ability to lead real-time technical-design discussions.
Demonstrated ownership and accountability, high standards, continuous improvement, and low-ego collaboration.

Nice To Haves

B.S. in Computer Science; M.S. preferred.
AWS experience, specifically with RDS, ElastiCache, S3, and EKS.
Exposure to Temporal, Istio, or Typesense.
Experience with CI/CD systems, specifically Jenkins and Spinnaker.
Exposure to the supply-chain, logistics, or manufacturing industry.
Familiarity with the Salesforce platform.
Experience with workflow engines.

Responsibilities

Diagnose and prioritize architectural problems across distributed backend systems, helping the team invest in foundational work at the right time.
Design and implement solutions to system problems, including application-performance optimization, infrastructure management, and data-model improvements.
Establish and maintain pragmatic engineering standards, guardrails, and practices that prevent regressions and keep the product healthy and performant.
Collaborate with customer, product, and engineering peers to understand customer needs, make pragmatic tradeoffs, and align on engineering realities.
Mentor engineers as a senior peer, sharing expertise in backend architecture and system design while strengthening engineering judgment and collaboration.
Develop tools and observability to run experiments and empirically validate performance and scaling improvements.