Site Reliability Engineer

About the role

Stack AV Site Reliability Engineers are responsible for enabling and ensuring our production systems meet their service-level objectives. Through the implementation of centralized observability and automation, the SRE team constantly ensures the health, reliability, scalability, and performance of Stack AV's infrastructure. In this SRE role, you will be ensuring the robustness and operational readiness of the compute platform that powers large-scale autonomous systems development. The team is responsible for enabling engineers and researchers to efficiently run compute and data intensive workloads on StackAV infrastructure. The Compute Platform team is responsible for designing and operating the systems that orchestrate and scale batch and distributed workloads across our environments. You will work at the intersection of infrastructure, distributed systems, and developer experience-ensuring that complex workloads are reliable, efficient, and easy to run. As a Compute Platform SRE, you help be responsible for ensuring the operational readiness and maturity of high scale batch compute systems and workflow orchestration systems that power engineers across the company.

Responsibilities

• Instrument systems scheduling and executing large-scale batch workloads across Kubernetes clusters.
• Diagnose and triage job failures for customers.
• Collaborate with teams across the company to understand workload requirements and improve platform capabilities.
• Scale the reliability and velocity of our systems and processes through increased automation.
• Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation.
• Participate in an on-call rotation to uphold the SLOs and SLAs of production services.
• Contribute to platform tooling, automation, and CI/CD workflows.

Requirements

• Fundamental understanding of Linux operating system internals, TCP/IP networking, and storage subsystems.
• Strong experience with Kubernetes and container orchestration in production grade environments.
• Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget.
• Strong experience implementing and debugging cloud native and open source tools such as Kubernetes, etcd, Prometheus, OpenTelemetry.
• Strong communication skills and the ability to work effectively in a diverse and distributed team.
• We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
• Check out our Privacy Policy.

Benefits

Additional Information

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at stackav? Share your experience