Software Engineer

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.