Senior Software Engineer, Site Reliability (Agentforce Ops)

Momentum; Massachusetts; On-site; USD 150,000 - 230,000; Full time

Job summary

Leadout Capital is seeking a Production Support Engineer (SMTS) to join our embedded reliability team. You will help scale the Agentforce Operations platform and work with engineers and product owners to ensure enterprise-grade reliability from day one.

You will own reliability roadmaps, drive performance tuning, automate infrastructure, scale AI/ML infrastructure, improve observability, and optimize SQL/API performance while embracing an AI-first workflow.

Qualifications

• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and scale.
• Proven Scaling Experience: helped take a product through a high-growth phase (the '1 to 100' journey).
• Coding Mastery: ability to write and review production-level code in Golang, TypeScript, or Python.
• Technical Breadth: Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
• Observability Expert: demonstrated experience with SLO-based monitoring and alerting.
• Systems Expert: deep understanding of distributed systems and debugging microservices, databases, and AI agents.
• Low-Ego Collaboration: experience working within a senior team and supporting the broader technical vision.
• AI Fluency: ability to use modern AI development tools to move faster and build more reliable systems.
• Ownership Mentality: autonomy to identify issues and own the solution through implementation.

Responsibilities

• Scaling & Reliability: Own the reliability roadmap for major product areas, transitioning to highly-available, global-scale enterprise solutions.
• Collaborative Leadership: Partner with PMTS-level engineers to refine infrastructure strategy and system design.
• Infrastructure as Code: Maintain and evolve automated environments for robust, developer-friendly tooling.
• AI Operations (AIOps): Scale AI/ML infrastructure with proper GPU resources and data pipelines for real-time insights.
• Production Excellence: Lead the 1 to 100 hardening of observability and telemetry to prevent incidents.
• Performance Engineering: Optimize SQL, API latency, and cross-service communication for data-intensive platforms.
• AI-First Workflow: Use AI tools to automate operational tasks and accelerate delivery.

Skills

Golang

TypeScript

Python

Kubernetes

Terraform/OpenTofu

AWS/GCP/Azure

Observability

Distributed Systems

AI Fluency

Ownership

Tools

PostgreSQL

Job description

The Experience

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.

We have successfully moved past the \"0 to 1\" phase. We have a product that works, customers who love it, and the backing of Salesforce. Now, we are entering the \"1 to 100\" phase: scaling our architecture to handle global demand, hardening our systems for enterprise-grade resilience, and integrating deeply with the Agentforce ecosystem. This is your chance to help lead that transition.

What You'll Actually Be Doing

As a Production Support Engineer (SMTS), you will be a senior technical member of staff within our embedded reliability team. You aren’t building the foundation alone—you’ll work alongside a group of engineers and product owners to ensure the Agentforce Operations platform is the most reliable AI-powered engine in the industry.

This is a role for an engineer who loves the \"scaling\" problem. You will focus on production excellence, performance tuning, and infrastructure automation. Because you are embedded in the product organization, you’ll have a seat at the table during design reviews, ensuring that as we add new agentic capabilities, they are built to scale from day one.

• Scaling & Reliability: Own the reliability roadmap for major product areas, working to transition our systems from startup-speed architectures to highly-available, global-scale enterprise solutions.


• Collaborative Leadership: Partner with PMTS-level engineers to refine our infrastructure strategy, contributing senior-level perspectives on system design, capacity planning, and bottleneck identification.


• Infrastructure as Code: Maintain and evolve our automated environments, focusing on making our \"infrastructure-as-plugins\" model more robust and developer-friendly.


• AI Operations (AIOps): Support the scaling of our AI/ML infrastructure, ensuring our models have the GPU resources and data pipelines required to deliver real-time supply chain insights.


• Production Excellence: Lead the \"1 to 100\" hardening of our observability stack. You won’t just respond to incidents; you’ll build the tooling that prevents them and the telemetry that explains them.


• Performance Engineering: Deep-dive into SQL optimization, API latency, and cross-service communication to ensure our data-intensive supply chain platform remains performant under heavy load.


• AI-First Workflow: Lean into the future of engineering by using AI tools (Claude Code, Codex, etc.) to automate routine operational tasks and accelerate infrastructure delivery.

You're Our Person If...

• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and scale.


• Proven Scaling Experience: You have previously helped take a product through a high-growth phase (the \"1 to 100\" journey), dealing with the technical debt and architectural shifts that come with it.


• Coding Mastery: Ability to write and review production-level code in Golang, TypeScript, or Python—you view automation as a software engineering problem.


• Technical Breadth: Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.


• Observability Expert: Demonstrated experience with properly instrumenting applications and platforms with SLO-based monitoring and alerting.


• Systems Expert: Deep understanding of distributed systems, including how to debug complex interactions between microservices, databases, and AI agents.


• Low-Ego Collaboration: Experience working within a senior team of Principal engineers, capable of both leading specific initiatives and supporting the broader group’s technical vision.


• AI Fluency: A demonstrated ability to use modern AI development tools to move faster and build more reliable systems.


• Ownership Mentality. We are a senior team who operate with a high degree of autonomy. As a result, we’re looking for someone who can independently identify issues and own the solution all the way through final implementation.

Even Better If...

• M.S. in Computer Science or equivalent practical experience.


• Database Specialist: Strong experience with PostgreSQL at scale (partitioning, indexing, query tuning).


• Distributed Systems: Advanced knowledge of microservice orchestration and durability patterns, including hands-on experience with Temporal for workflow reliability and Istio service meshes for secure, observable service-to-service communication in high-growth SaaS environments.