Senior Software Engineer, Site Reliability (Agentforce Ops)

Salesforce•San Francisco, CA

About The Position

Salesforce is hiring a senior technical contributor for the Agentforce Operations embedded reliability team. The role focuses on scaling the platform from a startup-stage architecture into a highly available, globally scalable enterprise solution. Working with engineers and product owners, the engineer will contribute to design reviews and help ensure new agentic capabilities are designed for scale and reliability. The position emphasizes production excellence, performance tuning, and infrastructure automation. It also supports scaling AI/ML infrastructure, including GPU resources and data pipelines for real-time supply chain insights. The engineer will improve observability, prevent incidents through tooling and telemetry, and optimize SQL, API latency, and communication across services. The team uses AI development tools to automate routine operational work and accelerate infrastructure delivery.

Requirements

At least 5 years of experience in SRE, Production Engineering, or Backend Engineering, with a strong focus on operations and scale.
Experience helping take a product through a high-growth scaling phase, including addressing technical debt and architectural change.
Ability to write and review production-level 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 interactions among microservices, databases, and AI agents.
Experience collaborating within a senior team of Principal engineers, leading initiatives and supporting the broader technical vision.
Demonstrated ability to use modern AI development tools to work efficiently and build reliable systems.
Ability to work autonomously and own solutions through implementation.

Nice To Haves

M.S. in Computer Science or equivalent practical experience.
Strong experience with PostgreSQL at scale, including partitioning, indexing, and query tuning.
Advanced knowledge of microservice orchestration and durability patterns.
Hands-on experience with Temporal for workflow reliability.
Hands-on experience with Istio service meshes for secure, observable service-to-service communication in high-growth SaaS environments.

Responsibilities

Own the reliability roadmap for major product areas and help transition systems to highly available, globally scalable enterprise solutions.
Partner with senior engineers on infrastructure strategy, system design, capacity planning, and bottleneck identification.
Maintain and evolve automated environments, improving the robustness and developer-friendliness of the infrastructure-as-plugins model.
Support scaling AI/ML infrastructure, including GPU resources and data pipelines for real-time supply chain insights.
Lead improvements to the observability stack, building tools to prevent incidents and telemetry to explain them.
Investigate and improve SQL performance, API latency, and cross-service communication under heavy load.
Use AI development tools to automate operational tasks and accelerate infrastructure delivery.
Independently identify issues and own solutions through final implementation.