Lovelace AI builds real-time data fusion infrastructure that synthesizes multisource sensor and enterprise data for AI-driven situational awareness across defense and commercial operational environments.
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 seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our growing team. As an SRE at Lovelace AI, you will play a critical role in ensuring the availability, scalability, and performance of our cutting-edge AI-powered applications and infrastructure. You will bridge the gap between software development and operations, applying sound engineering principles and automation to maintain and improve our systems. Key Responsibilities: - Design, implement, and maintain robust monitoring, alerting, and observability solutions to proactively detect and resolve issues before they impact end-users. - Lead troubleshooting efforts for complex production issues, providing detailed root cause analysis (RCA) and implementing preventative measures. - Develop and maintain automation scripts, build systems (Bazel) and infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation to eliminate manual tasks and improve system reliability and efficiency. - Collaborate closely with software engineering teams to influence the design of new services and applications, ensuring they are scalable, reliable, and resilient from the outset. - Participate in on-call rotations to respond to platform emergencies, alerts, and escalations, ensuring high service uptime. - Analyze system performance and recommend optimizations for scalability, reliability, and efficiency. - Implement and enforce best practices in deployment, monitoring, and incident management to continuously improve overall system reliability and reduce downtime. - Develop and maintain internal tools that streamline complex operations, track bugs, manage CI/CD pipelines, and facilitate cross-team communication. - Conduct post-incident reviews, documenting software problems and solutions in a shared knowledge base to prevent similar issues in the future. - Assist with vulnerability management, system patching, and implementing security measures to protect the integrity and availability of services. Qualifications: - 5+ years of experience in site reliability engineering, DevOps, systems administration, or related roles. - Proven track record of managing complex infrastructure, troubleshooting production issues, and optimizing system performance in high-scale environments. - Strong experience with Linux/Unix administration and proficiency in scripting languages (e.g., Python, Bash, Go). - Deep understanding of cloud platforms (AWS, GCP, Azure) and related services (e.g., EC2, S3, Lambda, Kubernetes). - Experience with containerization and orchestration technologies like Docker and Kubernetes. - Proficiency with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, Dynatrace, ELK Stack). - Strong understanding of networking fundamentals (DNS, HTTP, TCP/IP), load balancing, and CDNs. - Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and infrastructure automation. - Familiarity with distributed systems and microservices architecture. - Excellent problem-solving and troubleshooting skills. - Strong analytical skills with the ability to identify Service Level Indicators (SLIs) and align efforts to meet availability and latency objectives. - Ability to balance both development and support roles effectively. - Strong interpersonal skills and excellent communication skills, with the ability to collaborate effectively across various teams. - Experience in working on projects that involve business segments. - Must be a US Citizen. 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