---
title: 'Site Reliability Engineer (SRE) at Lovelace AI'
canonical: 'https://feeny.ai/job/site-reliability-engineer-sre-lovelace-ai-lovelace-hq-ydc67nqd93de'
type: 'job'
last_seen: '2026-11-07'
---

# Site Reliability Engineer (SRE) at Lovelace AI

- **Company:** Lovelace AI
- **Location:** Lovelace HQ
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-11-07
- **Apply:** https://jobs.ashbyhq.com/lovelace/b1810508-8a84-4f4a-86fa-bfb127d44f5c

## Job description

About Us: Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis. Lovelace’s context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments, delivering 1000X the investigative power for complex queries. With its proprietary ground-breaking YottaGraph, Lovelace provides enterprises with real-time, real-world context, enabling agents to understand the impact of global intelligence on enterprise data for unmatched insights with millisecond precision. Founded in 2023 by Andrew Moore, former head of Google Cloud AI, dean of Carnegie Mellon’s School of Computer Science, and first AI advisor for U.S. CENTCOM, Lovelace currently works with some of the largest public and private enterprises in the world. Job Summary:

- Lovelace AI is hiring a Site Reliability Engineer to help us deploy and run our platform wherever our customers need it. Customers use our agentic SaaS platform to generate data sets, build context graphs, and give that context to AI agents. A user portal spins up each customer's tenant project automatically, with no manual work. We run primarily on GCP, are building out AWS and Azure, and package for cloud marketplaces. Customers can also host the platform in their own environments, and that list keeps growing. This is a 0-to-1 role. You'll be one of our first dedicated reliability engineers, with real authority over how we architect, deploy and operate across clouds. Much of today's work is still manual or ad hoc. Your job is to turn it into a clear, repeatable system and help us adapt to the next three cloud environments we need to go into.

Key Responsibilities:

- Design and build the abstraction layer that lets us deploy one platform consistently across GCP, AWS, Azure and customer-hosted environments, so each new environment varies as little as possible (for example, one approach to persistent storage whether it's azurefile or filestore)
- Own deployment with Kubernetes, Terraform, Helm and Argo CD for both our hosted SaaS and customer deployments, including cloud marketplace packaging
- Solve the hard parts of running in environments we don't control: privileged access, service accounts, persistent connections between systems, and safely shipping updates to deployments we can't touch directly
- Build and maintain the tooling behind our multi-tenant SaaS, including the portal that spins up customer tenant projects programmatically
- Troubleshoot and fix what breaks when the platform lands in a new environment, then fold those lessons back into reusable tooling
- Build proofs of concept for new clouds and bespoke deployment targets, working toward fully disconnected (air-gapped) environments
- Help customers meet compliance requirements such as SOC 2 and Sarbanes-Oxley (SOX) when they host Lovelace in their own environment
- Turn today's informal incident management and weekly reporting into a lightweight, repeatable practice
- Partner with software engineers on architecture so new services are deployable, observable and resilient from the start
- Choose and change tooling when it makes sense; there's room to build your own path

Qualifications:

- 5+ years in software engineering, SRE, DevOps or infrastructure, at a senior level with demonstrated impact
- A software engineer at heart: strong coding skills in Python, Go or similar, and you'd rather build tooling than run process
- Hands-on deployment experience with evidence of things you built that worked in production
- Working familiarity with declarative deployment tools: Kubernetes, Terraform, Helm and Argo CD
- A solid grasp of core Kubernetes concepts and how they map to the underlying cloud resources, so we stay independent of any one platform
- Experience with at least one major cloud (GCP, AWS or Azure) and the ability to pick up others quickly; we don't expect expertise in all of them, but you shouldn't be tied to just one
- Solid grasp of networking, identity and access management, and storage in cloud environments
- Comfort with ambiguity: you can walk into an unfamiliar environment, work out what's different, and fix it
- Intellectual curiosity and a low ego: you back up conclusions with evidence, stay open to being wrong, and adapt rather than insist on how things were done elsewhere

Preferred Skills:

- A software engineer who moved into SRE or infrastructure, or an SRE who wants to build systems rather than only maintain them
- Experience deploying software into customer-managed, on-prem, multi-tenant or air-gapped environments
- Experience packaging software for cloud marketplaces (especially GCP Marketplace)
- Familiarity with compliance frameworks such as SOC 2 or SOX
- Experience with observability tools such as Prometheus, Grafana or Datadog
- A home lab or personal Kubernetes cluster you've built and run
- Interest in using agentic tooling to automate deployment and operations

Why this role:

- Wide scope and real ownership: cross-cutting architecture that spans many clouds and customer environments
- Build, not babysit: most of the work is 0-to-1 design and writing systems, not maintaining a large stable one
- A tour across environments: few roles let you work hands-on across AWS, Azure, GCP and customer deployments at once
- A small team where your decisions shape how the company ships

Benefits: LovelaceAI offers competitive compensation packages, comprehensive benefits. We provide a supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities. Lovelace’s founding team includes: Andrew Moore, who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world’s foremost cloud companies, and actively participating in machine learning and AI research over the past two decades. Toby Smith, well known in the Pittsburgh Tech community for his engineering leadership and design skills, and who has led many of the most ambitious and complex system infrastructure projects in Google Pittsburgh and NetApp. Here is a note from Andrew Moore to people who are reading these Job Postings: “Hi folks, I’m so glad you are potentially interested in Lovelace AI. This area means a lot to me because while I am an AI optimist, I also think that we technologists owe it to a rightly skeptical world to show that modern intelligent systems can actually be useful. Usefulness comes in many guises: from life sciences to education and from transportation to entertainment and many others. For many of us, security and public safety is also very high on that list. That reasoning leads to this conclusion: I’m determined to make sure that the people building Lovelace AI gain a lot from the experience, including the chance to solve fascinating problems in computer science, AI, business development, customer success and product management. I also hope that we all learn from each other in a highly enriching work environment. But my main hope is that we have a shared sense of accomplishment as we see an increasing number of national security and public safety domains made safer through sensible and robust use of advanced computer science."

## About Lovelace AI

## Company Overview
- **One-liner**: Lovelace AI builds enterprise AI infrastructure and context engines to make autonomous agents reliable for mission-critical analysis, primarily serving national security, financial services, and supply chain sectors.
- **Entity Type**: Private (Seed VC stage)
- **Headquarters**: Pittsburgh, Pennsylvania, USA
- **Founded**: 2023
- **Founders**: Andrew Moore, PhD (Co-Founder & CEO); Toby Smith (Co-Founder & Head of Engineering); Jonathan Macoskey (Co-Founder)

## Core Business
- Primary industry/industries: Artificial Intelligence, National Security, Enterprise AI Infrastructure, Financial Services
- Target customers: B2B, Enterprise, Government/Defense agencies, Intelligence community, Financial institutions, Supply chain operators
- Mission or purpose statement: Making autonomous agents work for mission-critical analysis, bringing rigor and accuracy to enterprise AI deployments in industries where bad decisions ruin lives [lovelace.ai](https://lovelace.ai/).

## Products & Services
- **[Elemental — The Context Engine for Enterprise Agents]**: A platform that ingests global data streams in real time and transforms fragmented information into enterprise-specific context engines. It integrates agentic data ops, entity resolution, and graph building into a single end-to-end pipeline at global data scale. Key features include: context built at ingest (not query), full traceability, and defensible outputs for high-stakes decision-making.
- **[Lovelace YottaGraph]**: A continuously maintained world reference graph built from public and commercially available regulatory filings, corporate registries, sanctions lists, news, global movements, and market data. It compresses massive global data into trillions of structured facts with millisecond retrieval, providing global context for agents.
- **Solutions by use case**: National Security Operations Planning, Threat Identification (fusing SIGINT, OSINT, HUMINT), Supply Chain Disruption Monitoring, Enhanced Due Diligence, Cross-border Trade Monitoring, Portfolio Risk Monitoring, Private Wealth Opportunity Monitoring.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding — $16.2M (Seed VC round, raised ~1 year ago as of 2025) [cbinsights.com](https://www.cbinsights.com/company/lovelace-ai)
- **Notable Investors/Partners**: RRE Ventures, Magarac Venture Partners, Qudit, NSIN Propel Hawaii Accelerator, xTech Accelerator [cbinsights.com](https://www.cbinsights.com/company/lovelace-ai)
- **Growth Signals**: 
  - The company claims their platform matches Google Gemini Deep Research at less than 1% of the cost [lovelace.ai](https://lovelace.ai/)
  - 19 total employees as of latest data [builtin.com](https://builtin.com/company/lovelace-ai)
  - 3 patents filed, including one on Geospatial moving entity analysis with missing value imputation [cbinsights.com](https://www.cbinsights.com/company/lovelace-ai)
  - CEO holds a high-level advisory role to U.S. CENTCOM for AI, robotics, and autonomous systems

## Competitive Advantages
- **Founder pedigree**: Andrew Moore, PhD, is a globally recognized AI authority — former Dean of Computer Science at Carnegie Mellon University, former Head of Google Cloud AI, and former CENTCOM AI adviser. This gives the company unparalleled credibility and access in the defense and enterprise AI space.
- **Operational-experience convergence**: The team uniquely combines world-class AI engineering with operational leadership drawn from the intelligence community, veterans, the White House Situation Room, NSA, and the Office of the Secretary of Defense [lovelace.ai](https://lovelace.ai/about)
- **Technical moat (YottaGraph)**: The proprietary world reference graph (trillions of structured facts) is a hard-to-replicate data asset that provides global context for agents, with claims of being 100x cheaper than comparable models like Gemini Deep Research.
- **Context-at-ingest architecture**: Unlike standard RAG architectures that build context at query time, Elemental builds context at ingest, enabling deep-research insights with speed and cost efficiency.

## Strategic Focus
- **Current priorities**: Scaling the Elemental platform for enterprise and government clients; deepening capabilities in national security ops, threat identification, and due diligence; reducing the cost of enterprise AI agents while improving accuracy
- **Direction for growth**: Expanding from seed stage into Series A; growing the engineering and forward-deployed teams; targeting more commercial enterprise clients (financial services, supply chain) alongside government contracts

## Why Work Here
- **Culture highlights**: Described as a "serious AI company" with a high bar for hiring — the mission is focused on human safety, conflict zones, disaster response, and deterrence. The team is intentionally small (19 employees) and selective, combining engineers with operational veterans from defense and intelligence.
- **Remote/hybrid/office policy**: **In-Office** — all employees work from the physical Pittsburgh office at 6425 Penn Avenue. Typical time on-site is full-time (on-site workspace) [builtin.com](https://builtin.com/company/lovelace-ai).
- **Notable perks or engineering culture**: 
  - "Our front line is fueled by an entire team of experts who never miss" — emphasizes high ownership and reliability
  - Engineers work on problems at the intersection of AI, financial services, and national security — the work is described as "complex" and requires "the best minds in the world"
  - The team has built foundational infrastructure for Google's core systems, autonomous vehicles, and commercial AI cloud products
  - Patents and published research are encouraged (3 patents filed)

## Sources
1. [lovelace.ai](https://lovelace.ai/) — Official website with product details, team, and mission
2. [lovelace.ai/about](https://lovelace.ai/about) — Company about page with founder bio, team, and investors
3. [jobs.ashbyhq.com/lovelace](https://jobs.ashbyhq.com/lovelace) — Official careers page
4. [cbinsights.com](https://www.cbinsights.com/company/lovelace-ai) — Funding, investors, patents, and headquarters
5. [builtin.com](https://builtin.com/company/lovelace-ai) — Employee count, office policy, culture details

## Other roles at Lovelace AI

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- [AI Research Engineer](https://feeny.ai/job/ai-research-engineer-lovelace-ai-lovelace-hq-an7c80f9gpm3) — Lovelace HQ
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