Principal Software Engineer, Site Reliability (Agentforce Ops)

Salesforce•Washington, DC

1d•$197,300 - $344,700

About The Position

Salesforce is hiring a Principal-level engineer for the Agentforce Operations platform, joining an agile team with startup roots that is scaling its product from early success to global, enterprise-grade operations. The engineer will work alongside engineers and product owners as a senior member of an embedded reliability team, contributing to design reviews and helping guide the platform’s technical direction. The role focuses on reliability, production excellence, performance engineering, and infrastructure automation. The engineer will own reliability roadmaps for major product areas, improve infrastructure-as-code environments, support AI/ML infrastructure and real-time data pipelines, harden observability, and optimize SQL, APIs, and cross-service communication. They will use AI development tools to automate operational work and accelerate infrastructure delivery, while collaborating closely with and mentoring members of the technical team. Salesforce describes the role as a high-autonomy position requiring ownership of issues through implementation and strong communication with stakeholders. The position is part of Salesforce’s Agentforce organization and supports its AI-powered operations platform.

Requirements

At least 9 years of experience in SRE, production engineering, or backend engineering with a strong focus on operations and scale.
Track record of helping scale a product through a high-growth phase, including handling technical debt and architectural changes.
Strong communication skills for working with stakeholders of varying technical expertise.
Expertise writing production-grade code in Golang, TypeScript, or Python.
Strong proficiency in Kubernetes, Terraform/OpenTofu, and at least one of AWS, GCP, or Azure.
Demonstrated experience instrumenting applications and platforms with SLO-based monitoring and alerting.
Deep understanding of distributed systems and debugging interactions among microservices, databases, and AI agents.
Experience collaborating within a senior team of Principal engineers, leading initiatives and supporting broader technical direction.
Demonstrated ability to use modern AI development tools to work efficiently and build reliable systems.
Ability to work autonomously, identify issues, and take solutions through implementation.

Nice To Haves

M.S. in Computer Science or equivalent practical experience.
Strong PostgreSQL-at-scale experience, including partitioning, indexing, and query tuning.
Advanced knowledge of microservice orchestration and durability patterns, including hands-on experience with Temporal and Istio service meshes.
Broad experience in tracing, profiling, monitoring, logging, and dashboard creation; experience with Prometheus, Grafana, and PagerDuty is desired.
Prior experience with Elasticsearch implementations or Typesense.
Familiarity with Salesforce infrastructure, Hyperforce, or Data Cloud.

Responsibilities

Own reliability roadmaps for major product areas and help transition systems to highly available, global-scale enterprise solutions.
Provide expert technical guidance and help steer the team’s technical direction.
Collaborate closely with engineers and product owners, initiate collaboration, and contribute to design reviews.
Set a high bar for technical excellence and provide formal and informal mentorship.
Maintain and evolve automated environments, improving the infrastructure-as-plugins model.
Support the scaling of AI/ML infrastructure, including GPU resources and data pipelines for real-time supply chain insights.
Harden the observability stack, build tooling to prevent incidents, and create telemetry that helps explain them.
Optimize SQL, API latency, and cross-service communication to maintain performance under heavy load.
Use AI development tools to automate routine operational tasks and accelerate infrastructure delivery.
Independently identify issues and own solutions through final implementation.
Communicate product vision and implementation outcomes to stakeholders with varying levels of technical expertise.