Senior Backend Performance Architect

Salesforce, Inc.

Massachusetts

On-site

USD 149,000 - 246,000

Full time

14 days+

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Benefits offered by this job

Health insurance

Job summary

Salesforce, Inc. is seeking a Performance Engineer for Agentforce Operations to optimize the scalability, resilience, and performance of our platform across the entire stack.

You will gain intimate knowledge of the architecture and implement end-to-end optimizations to improve scalability and reliability. You will collaborate with cross-functional teams to streamline data models, improve asynchronous patterns, and build observability to validate results, while maintaining high engineering

Qualifications

  • 5+ years of industry experience as a backend engineer responsible for performance and scalability.
  • Mastery of Golang, GraphQL, and Postgres with proven high-performance optimizations.
  • Public cloud experience (AWS preferred) and deep backend expertise across data modeling, API design, and scalability.

Responsibilities

  • Diagnose architectural problems across distributed backend systems and prioritize foundational work.
  • Design and implement performance optimizations, infrastructure improvements, and data model enhancements.
  • Raise engineering quality via pragmatic standards, guardrails, and practices to prevent regressions.
  • Collaborate with product, customer, and engineering teams to align on impactful tradeoffs.
  • Mentor engineers, share expertise in backend architecture, and raise the bar for team performance.

Skills

Backend engineering
Golang
GraphQL
Postgres
AWS
Data modeling
DB performance tuning
API design
Concurrency
Testing & observability

Education

Bachelor of Science in Computer Science
MS preferred

Tools

RDS
Elasticache
S3
EKS
Temporal
Istio
Typesense
Jenkins
Spinnaker

Job description

Salesforce, Inc. is seeking a Performance Engineer for Agentforce Operations to optimize the scalability, resilience, and performance of our platform across the entire stack.

You will gain intimate knowledge of the architecture and implement end-to-end optimizations to improve scalability and reliability. You will collaborate with cross-functional teams to streamline data models, improve asynchronous patterns, and build observability to validate results, while maintaining high engineering

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