Principal Software Engineer, Site Reliability (Agentforce Ops)

Momentum; Virginia; Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Leadout Capital seeks a seasoned Production Support Engineer to join the embedded reliability team in Virginia. You will help scale our Agentforce Operations platform, lead reliability initiatives, and partner with product and engineering to ensure enterprise-grade resilience.

You will own the 1-to-100 scaling efforts, optimize SQL/APIs, and drive AI-ops initiatives, while mentoring junior staff and contributing to architecture reviews.

Formación

• 9+ years of experience in SRE, Production Engineering or Backend with a focus on scale.
• Proven scaling experience in high-growth SaaS environments.
• Excellent communication with diverse stakeholders.
• Proficiency in Golang, TypeScript or Python and automation practices.

Responsabilidades

• Own the reliability roadmap for major product areas and scale architectures.
• Provide technical leadership and guide the team’s direction.
• Mentor LMTS/SMTS and foster collaboration across the group.
• Develop infrastructure as code and improve observability tooling.
• Support AI/ML infrastructure and ensure robust data pipelines.

Conocimientos

SRE/Production Eng

Scaling

Effective communication

Golang/TypeScript/Python

Kubernetes

Terraform/OpenTofu

AWS/GCP/Azure

Observability

Distributed systems

Ownership

Herramientas

Temporal

Istio

Prometheus

Grafana

PagerDuty

Descripción del empleo

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 (PMTS), 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.

We want people who have a proven track record of delivering real, measurable outcomes and get excited about the prospect of getting to own and steer the direction of our technical architecture.

• 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.
• Technical Leadership: As a Principal-level member of technical staff, the team will be expecting you to provide the expert insights to help guide and steer the technical direction of our team.
• Mentorship: The LMTS and SMTS members of our team will be looking to provide both formal mentorship via direct engagement as well as informal mentorship via setting a high bar of technical excellence. This is not a role where you will work in a silo - close collaboration amongst the team is required and expected and it will be your job to initiate that.
• 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...

• 9+ 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.
• Effective Communicator: This is an integral role within our organization as you’ll be responsible for implementing the product vision and then communicating that reality back to a variety of stakeholders with varying degrees of technical expertise. As such, strong communication abilities are a must.
• Coding Mastery: You are an expert in writing production-grade code in either 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.
• Monitoring and Observability: Tracing, profiling, monitoring, logging, dashboard creation - we’re looking for someone who has demonstrated prior results across a wide breadth of the monitoring and observability stack. Specific experience in Prometheus, Grafana, and Pagerduty is desired.
• Search Indexing: Prior experience with Elastisearch implementations or Typesense.
• Salesforce Knowledge: Familiarity with Salesforce infrastructure, Hyperforce, or Data Cloud is a plus.