• architect, build, and evolve the developer experience for Meraki's Cloud Engineering teams. • work within a team distributed across the US and UK and collaborate with other teams across SRE and Cloud Engineering. • shape the day to day operations of Meraki's cloud, and enable engineers to easily, safely, and confidently experiment on and build great products! • Lead the design and evolution of critical infrastructure for building, testing, and deploying cloud applications. • Take the lead on complex problem resolution and debugging of internal and vendor-supplied tools. • Influence and drive operational excellence within the organization. • Learn and understand the priorities and practices of other engineering teams to design systems that work for them. • Partner with engineering leadership to define roadmaps, reporting on productivity gains and platform health to the SVP level. • Lead complex troubleshooting, perform blameless postmortems, and champion sustainable on-call practices across the organization.

• Develop and execute boiler outage inspection plans, ensuring adequate resources and thorough evaluations during planned and unplanned outages • Perform and coordinate condition assessments of boiler pressure parts, refractory, high-energy piping, and flue gas systems • Review inspection results and provide clear recommendations to facility leadership during and after outages • Prepare condition assessment reports and executive summaries, including risk prioritization and maintenance recommendations • Support development of long-term maintenance planning and lifecycle strategies for boiler components • Review pressure part replacement scopes and coordinate with vendors to ensure quality, specifications, and delivery requirements are met • Oversee and participate in QA/QC inspections, including shop inspections and field verification • Coordinate inspections of related systems including scrubbers, baghouses, and flue gas ductwork • Partner with engineering and corporate teams on material evaluations, standards, and improvement initiatives • Maintain and analyze historical equipment data to support reliability improvements and failure reduction strategies

• Design, build, and operate cloud infrastructure and platform services for our clients, primarily on AWS (Azure or Google Cloud also welcome), with a strong focus on scalability, security, and cost efficiency. • Implement and manage Infrastructure as Code using Terraform and Ansible, applying reusable and modular patterns across client engagements. • Design, deploy, and maintain containerized workloads using Docker/Podman, Kubernetes, following cloud-native best practices. • Build and secure CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI, and drive GitOps delivery models leveraging ArgoCD. • Implement IAM, RBAC, and secrets management to embed security and compliance across the delivery lifecycle. • Set up auditing, observability, and monitoring solutions using AWS CloudTrail, Grafana, and Prometheus, ensuring reliability and traceability of platforms. • Work directly with clients as a trusted advisor - from workshops and technical discovery to design and hands-on delivery. • Contribute to a culture of continuous improvement by mentoring team members, participating in code reviews, and sharing knowledge across engagements. • Leverage AI-assisted engineering tools (e.g., GitHub Copilot, Amazon Q Developer, or equivalent) to accelerate IaC development, pipeline automation, and code quality, while applying a responsible AI mindset aligned with governance and compliance standards.

Role Description The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions. This team is responsible for: - Defining and enforcing reliability standards across engineering - Designing incident response processes and improving recovery times - Building observability systems and reliability tooling - Driving SLO adoption and production readiness reviews - Reducing operational toil through automation As a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen. This role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure. This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod. Your Impact - Increase platform uptime and reduce incident frequency and duration - Establish and operationalize SLIs/SLOs across services - Improve MTTR through better tooling, automation, and runbooks - Strengthen production readiness standards - Drive long-term systemic reliability improvements You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company. Responsibilities - Reliability Engineering - Define and implement SLIs/SLOs for critical services - Lead incident response and coordinate cross-team mitigation efforts - Conduct blameless postmortems and ensure corrective actions are completed - Perform production readiness reviews for new services and features - Identify systemic risks and drive preventative improvements - Observability & Monitoring - Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.) - Improve signal-to-noise ratio in alerts and reduce alert fatigue - Build internal tooling for reliability tracking and reporting - Improve visibility into GPU performance and distributed systems health - Automation & Toil Reduction - Automate recurring operational workflows - Build tools and scripts (Python, Go, Bash) to eliminate manual processes - Improve deployment safety through automation and guardrails - Strengthen CI/CD reliability and release processes - Cross-Functional Reliability Advocacy - Partner with engineering teams to improve system resilience - Provide guidance on fault tolerance, scalability, and failure handling - Contribute to architectural discussions with a reliability-first mindset Qualifications - 5+ years of experience in SRE, Reliability Engineering, or Production Engineering - Strong Linux systems and Networking expertise - Experience managing containerized production systems - Strong understanding of distributed systems and failure modes - Experience defining and managing SLIs/SLOs - Proven incident response and postmortem leadership experience - Strong scripting or programming skills - Experience with monitoring and alerting systems - Excellent written communication skills - Successful completion of a background check Preferred - Experience with GPU infrastructure or AI/ML platforms - Experience improving reliability in high-growth or large scale environments - Familiarity with GPU observability tooling - Experience with Infrastructure as Code - Experience working in startup environments - Experience building internal reliability platforms or frameworks Benefits - The competitive base pay for this position ranges from $150,000- $200,000 USD. - Meaningful equity in a fast-growing company - everyone on the team receives stock options. - Generous medical, dental & vision plans. - Flexible PTO - take the time you need to recharge. - Most roles are remote work first with an inclusive, collaborative teams utilizing Slack as the main form of internal communication. - Join a passionate team on the cutting edge of AI infrastructure.