Site Reliability Engineer (SRE)

Lovelace AI•Pittsburgh, PA

About The Position

Lovelace AI is seeking a Site Reliability Engineer to help keep its AI-powered applications and infrastructure available, scalable, and fast. The role sits between software development and operations, applying engineering and automation to maintain system reliability and improve systems over time. The engineer will collaborate with software teams, support production operations, improve observability and automation, and help protect service integrity and availability.

Requirements

At least 5 years of experience in site reliability engineering, DevOps, systems administration, or a related role.
Proven experience managing complex infrastructure, troubleshooting production issues, and optimizing performance in high-scale environments.
Strong Linux/Unix administration skills and proficiency with scripting languages such as Python, Bash, or Go.
Deep knowledge of cloud platforms and services, including AWS, GCP, or Azure, such as EC2, S3, and Lambda.
Hands-on experience with containerization and orchestration using Docker and Kubernetes.
Proficiency with monitoring and observability tools such as Prometheus, Grafana, Datadog, Dynatrace, or the ELK Stack.
Solid understanding of networking fundamentals, including DNS, HTTP, and TCP/IP, as well as load balancing and CDNs.
Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI, and infrastructure automation.
Familiarity with distributed systems and microservices architecture.
Ability to define Service Level Indicators (SLIs) and align work with availability and latency objectives.

Nice To Haves

Excellent problem-solving, troubleshooting, and analytical skills.
Comfort balancing development and support responsibilities.
Strong communication and interpersonal skills, with a track record of collaborating across teams.
Experience working on projects that involve business segments.

Responsibilities

Design, build, and maintain monitoring, alerting, and observability systems to identify and resolve issues before they reach users.
Lead troubleshooting of complex production issues, deliver root cause analyses, and implement preventive fixes.
Build and maintain automation, Bazel build systems, and infrastructure as code using tools such as Terraform, Ansible, and CloudFormation.
Partner with software engineering teams early in the design of new services to ensure scalability, reliability, and resilience.
Participate in on-call rotations and respond to incidents, alerts, and escalations.
Analyze system performance and recommend improvements to scalability, reliability, and efficiency.
Establish and enforce best practices for deployment, monitoring, and incident management to reduce downtime.
Build and maintain internal tools for operations, bug tracking, CI/CD pipelines, and cross-team communication.
Run post-incident reviews and document problems and solutions in a shared knowledge base.
Support vulnerability management, system patching, and security measures that protect service integrity and availability.