Senior Site Reliability Engineer – Real-Time AI Infra

Lovelace AI, Inc.; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation package

Inclusive benefits

Job summary

Lovelace AI, Inc. is seeking a Site Reliability Engineer to keep our AI-powered applications and infrastructure highly available, scalable, and fast.

You’ll bridge software development and operations, using engineering and automation to improve reliability and performance. Join a mission-driven team in Pittsburgh, collaborating with engineering to design scalable services, implement monitoring, and lead incident response.

Qualifications

• 5+ years in site reliability engineering, DevOps, systems administration, or a related role.
• Proven track record managing complex infrastructure, troubleshooting production issues, and optimizing performance in high-scale environments.
• Strong Linux/Unix administration skills and proficiency in scripting languages such as Python, Bash, or Go.
• Deep knowledge of cloud platforms (AWS, GCP, Azure) and their services, 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 grasp of networking fundamentals (DNS, HTTP, TCP/IP), load balancing, and CDNs.
• Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and infrastructure automation.
• Familiarity with distributed systems and microservices architecture.
• Ability to define Service Level Indicators (SLIs) and align work to availability and latency objectives.

Responsibilities

• Design, build, and maintain monitoring, alerting, and observability so issues are caught and resolved before they reach users
• Lead troubleshooting of complex production issues, deliver root cause analyses (RCAs), and put preventive fixes in place
• Build and maintain automation, build systems (Bazel), and infrastructure as code (Terraform, Ansible, CloudFormation) to remove manual work and improve reliability
• Partner with software engineering teams early in the design of new services so they are scalable, reliable, and resilient from the start
• Participate in on-call rotations to respond to incidents, alerts, and escalations
• Analyze system performance and recommend improvements for 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

Skills

SRE/DevOps experience

Linux/Unix administration

Cloud platforms (AWS/GCP/Azure)

Docker & Kubernetes

Monitoring & observability

CI/CD tooling

Networking fundamentals

Scripting (Python/Bash/Go)

Tools

Terraform

Ansible

CloudFormation

Bazel

Docker

Kubernetes

Job description

Lovelace AI, Inc. is seeking a Site Reliability Engineer to keep our AI-powered applications and infrastructure highly available, scalable, and fast.

You’ll bridge software development and operations, using engineering and automation to improve reliability and performance. Join a mission-driven team in Pittsburgh, collaborating with engineering to design scalable services, implement monitoring, and lead incident response.