Senior Software Engineer, Site Reliability (Agentforce Ops)

Salesforce•Burlington, MA

1d•$148,500 - $246,000

About The Position

Salesforce is hiring a senior technical contributor for its embedded reliability team supporting the Agentforce Operations platform. The team operates with the autonomy and pace of a startup while benefiting from Salesforce’s scale. Having moved beyond initial product development, the organization is scaling its architecture for global demand, strengthening enterprise resilience, and integrating more deeply with the Agentforce ecosystem. The role focuses on production excellence, performance tuning, and infrastructure automation. The engineer will work with engineers and product owners, contribute to design reviews, and help ensure new agentic capabilities are designed to scale. The position includes responsibility for reliability planning, infrastructure strategy, automated environments, AI/ML infrastructure, observability, and performance across a data-intensive supply chain platform. The job description also refers to the role as Production Support Engineer (SMTS).

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 shifts.
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 complex interactions among microservices, databases, and AI agents.
Experience working within a senior team of Principal engineers, leading initiatives while supporting the broader technical vision.
Ability to use modern AI development tools to work faster and build reliable systems.
Ability to work autonomously and own solutions from issue identification 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, global-scale enterprise solutions.
Partner with PMTS-level engineers on infrastructure strategy, system design, capacity planning, and bottleneck identification.
Maintain and evolve automated environments, making the infrastructure-as-plugins model more robust and developer-friendly.
Support scaling AI/ML infrastructure, including GPU resources and data pipelines for real-time supply chain insights.
Lead hardening of the observability stack, building incident-prevention tooling and telemetry that helps explain incidents.
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.
Contribute senior technical perspectives in design reviews and collaborate with engineers and product owners.
Independently identify issues and own solutions through final implementation.