Senior Performance Engineer

Enboarder; Massachusetts; On-site; USD 120,000 - 190,000; Full time

Job summary

Agentforce Operations, backed by Salesforce, seeks a seasoned Backend Engineer to optimize scalability, resilience, and performance across the stack. You’ll own end-to-end improvements, model data, and drive system observability with autonomy and collaboration.

Join at a pivotal growth phase with founders and engineers who built the product, contributing to a high-velocity, startup-like environment on the path to massive scale.

Qualifications

• 5+ years in backend engineering, building and operating user-facing apps.
• Proficient in Golang, GraphQL, and PostgreSQL, with optimization experience.
• Experience with AWS and cloud-based data modeling and scaling.
• Strong knowledge of API design, concurrency, and system design.
• Proven track record of ownership and driving architectural improvements.

Responsibilities

• Diagnose and prioritize architectural problems across distributed backend systems.
• Design and implement solutions for performance optimization and data modeling.
• Raise engineering quality with guardrails, standards, and practices.
• Collaborate with product and engineering to align on customer needs and tradeoffs.
• Mentor engineers and help shape a high-performing team.

Skills

Golang

GraphQL

PostgreSQL

AWS

Data modeling

API design

Concurrency

System design

Education

B.S. in Computer Science

M.S. preferred

Tools

Jenkins

Spinnaker

Temporal

Istio

Typesense

RDS

Elasticache

S3

EKS

Job description

Join an agile team with deep startup roots. We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition. You’ll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the unique opportunity to perfect the original '0 to 1' product with the founding team, as we push towards an order-of-magnitude increase in the scale of our customer base.

Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. The economy moves fast but supply chains don’t, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise.

Agentforce Operations is reimagining the supply chain with an AI-powered platform for designing, automating, and orchestrating end-to-end business processes, with seamless collaboration through familiar channels like email and Slack. For Salesforce, this represents a major back-office growth opportunity, while also delivering innovations that enhance the existing front-office business. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase. As one user put it: I’ve been waiting for this for 20 years.

What you’ll do

You would be joining at an exciting inflection point in Agentforce Operations’ history. Our product was built with intentional startup speed that created tight coupling, limited observability, and reliability and scaling gaps that are now surfacing as customer adoption accelerates. As a performance engineer for Agentforce Operations, your mandate will be to radically optimize the scalability, resilience, and performance of our product and platform across the entire stack to help usher in this next phase of growth. The ideal candidate would be able to develop a deep technical understanding of our architecture and then deliver the end-to-end implementation of optimizations that would enable us to achieve greater scalability while simultaneously improving our reliability. Agentforce Operations manages complex, infinitely configurable states with equally complex state transitions and interfaces to teams across the organization. That means you'd be tackling a wide array of challenges that would include optimization of our existing data model, streamlining of our asynchronous operations patterns, profiling and rightsizing our infrastructure, and developing both the tools and observability to run experiments and empirically validate results.

You would be considered the subject matter expert in matters of application performance and as such you’d operate with meaningful autonomy while building alignment across engineering. This role comes with ample opportunity for advancement by raising the bar on system quality, leveling up the engineers around you, and ultimately accelerating us toward our ambitious scaling goals.

Responsibilities

• Diagnose and prioritize architectural problems across our distributed backend systems, contributing technical perspective to help the team invest in the right foundational work at the right time
• Design and implement solutions to hard system problems including application performance optimization, infrastructure management, and data model improvements.
• Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep our product healthy and performant.
• Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality
• Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team

Required Qualifications

• 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.
• Major public cloud provider experience (AWS preferred).
• Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling, with the ability to pick up new technologies quickly
• Repeated ownership of foundational system work in complex distributed systems, from diagnosing architectural problems to designing solutions to driving adoption across a team.
• Excellent writing and speaking skills and ability to lead real-time technical-design discussions
• Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration

Preferred Qualifications

• B.S. in Computer Science (M.S. preferred)
• Experience working in AWS, 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. (We will teach you otherwise!)
• Familiarity with the Salesforce platform
• Experience with workflow engines