Principal Software Engineer, Site Reliability (Agentforce Ops)

Salesforce•San Francisco, CA

9d•$197,300 - $313,700

About The Position

Salesforce is hiring a Principal Software Engineer for its Agentforce Operations platform. The role is part of an embedded reliability team within an agile, high-velocity team with startup roots, backed by Salesforce. The team is scaling an existing product for global demand, strengthening enterprise resilience, and integrating with the Agentforce ecosystem. As a senior technical member of staff, you will lead reliability and production excellence efforts, help guide technical direction, and collaborate closely with engineers and product owners. You will contribute to design reviews and help ensure new agentic capabilities are built to scale. The role focuses on reliability, performance, infrastructure automation, AI/ML operations, observability, and scaling systems for enterprise use.

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 managing technical debt and architectural changes.
Strong communication skills for engaging stakeholders with varying levels of technical expertise.
Expertise writing production-grade code in Golang, TypeScript, or Python.
Strong proficiency with Kubernetes, Terraform/OpenTofu, and AWS, GCP, or Azure.
Demonstrated experience instrumenting applications and platforms with SLO-based monitoring and alerting.
Deep understanding of distributed systems and debugging complex 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 improve speed and system reliability.
Ability to work autonomously, identify issues, and own solutions through implementation.

Nice To Haves

M.S. in Computer Science or equivalent practical experience.
Strong PostgreSQL experience at scale, including partitioning, indexing, and query tuning.
Advanced knowledge of microservice orchestration and durability patterns.
Hands-on experience with Temporal for workflow reliability and Istio service meshes for secure, observable service-to-service communication in high-growth SaaS environments.
Broad experience across tracing, profiling, monitoring, logging, and dashboard creation.
Experience with Prometheus, Grafana, and PagerDuty.
Experience with Elasticsearch implementations or Typesense.
Familiarity with Salesforce infrastructure, Hyperforce, or Data Cloud.

Responsibilities

Own the reliability roadmap 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.
Mentor teammates and foster technical excellence through formal and informal collaboration.
Maintain and evolve automated environments, improving the robustness and developer-friendliness of the infrastructure-as-plugins model.
Support AI/ML infrastructure scaling, including GPU resources and data pipelines for real-time supply chain insights.
Lead hardening of the observability stack, build incident-prevention tooling, and develop telemetry that explains system behavior.
Optimize SQL, API latency, and cross-service communication to maintain performance under heavy load.
Use AI development tools to automate operational tasks and accelerate infrastructure delivery.
Collaborate closely with the team and independently identify, own, and implement solutions.
Communicate product vision and implementation outcomes to stakeholders with varying levels of technical expertise.