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# Site Reliability Engineer (SRE)

- **Company:** Lovelace Ai
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software Applications, Microsoft Azure, Bash Shell, Bug Tracking Systems, Continuous Integration, DevOps, Distributed Systems, Domain Name System (DNS), Monitoring of Systems, Hypertext Transfer Protocols (HTTP), Python (Programming Language), Networking Basics, Reliability Engineering, Ansible, Prometheus, Software Engineering, TCP/IP, Software Vulnerability Management, Datadog, Circleci, Scripting, Google Cloud, Load Balancing, Grafana, Cloudformation, Containerization, Gitlab-ci, Infrastructure Automation Frameworks, Build Tools, Functional Programming, Terraform, Dynatrace, Docker, Elk Stack, Jenkins, Microservices
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2c4b13e21e7d81b6

## About the Role

* 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

Preferred Skills:

 * Excellent problem-solving, troubleshooting, and analytical skills
 * Comfortable 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

## Description

* Lovelace AI is looking for a Site Reliability Engineer to keep our AI-powered applications and infrastructure available, scalable, and fast. You'll sit between software development and operations, using engineering and automation to keep our systems reliable and to improve them over time., * 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