Site Reliability Engineer (SRE)

The role

You will design and build an abstraction layer to deploy a platform consistently across GCP, AWS, Azure, and customer-hosted environments. You will own deployments using Kubernetes, Terraform, Helm, and Argo CD and build tooling for a multi-tenant SaaS.

What you will do

• Design and build the abstraction layer for consistent deployment across multiple clouds and customer environments
• Own deployment with Kubernetes, Terraform, Helm and Argo CD
• Solve challenges of running in uncontrolled environments including privileged access and service accounts
• Build and maintain tooling for the multi-tenant SaaS and customer tenant project portal
• Troubleshoot and fix platform issues in new environments
• Build proofs of concept for new clouds and bespoke deployment targets
• Help customers meet compliance requirements such as SOC 2 and Sarbanes-Oxley
• Turn informal incident management into a repeatable practice
• Partner with software engineers on architecture for deployability and resilience
• Choose and change tooling

Required qualifications

• 5+ years in software engineering, SRE, DevOps or infrastructure at a senior level
• Strong coding skills in Python, Go or similar
• Hands-on deployment experience with evidence of things built in production
• Working familiarity with Kubernetes, Terraform, Helm and Argo CD
• Solid grasp of core Kubernetes concepts
• Experience with at least one major cloud (GCP, AWS or Azure)
• Solid grasp of networking, identity and access management, and storage in cloud environments
• Comfort with ambiguity

Nice to have

• 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

Benefits

• Competitive compensation packages
• Comprehensive benefits
• Supportive and inclusive work environment

About the company

Lovelace is a provider of enterprise-scale context engines that create knowledge graphs for autonomous agents. The company was founded in 2023 by Andrew Moore.