DevOps & Test Automation Software Developer
2 weeks ago
Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
About the Position
As a Software Engineer, Tools and Infrastructure, you will play a pivotal role in shaping the infrastructure and development practices at CentML. You will be responsible for working on complex projects and collaborating with cross-functional teams to ensure our systems meet the highest standards of reliability, performance, and security. We’re looking for a Software Engineer, Tools, and Infrastructure, with a strategic focus on performance optimization and testing.
What you'll do
- Build distributed machine learning systems that deliver state-of-the-art performance, high availability, and robust fault tolerance.
- Develop tools, infrastructure, automation, and configuration management to set up and execute performance tests, to record the testing results, and to perform and visualize analyses on the results.
- Automate and optimize the functionality and performance testing workflows, improve the performance and scalability of those workflows, and identify and address bottlenecks before they impact our engineers.
- Design and set up CI/CD pipelines for continuous code testing, integration, and development.
- Participate in incident response efforts, including real-time troubleshooting, root cause analysis, and postmortem reviews.
- Develop and maintain comprehensive monitoring, alerting, and logging systems that provide deep visibility into system health and performance.
- Drive continuous improvement in system reliability, performance, and scalability through the adoption of new technologies, tools, and methodologies.
- Stay current with industry trends and innovations in DevOps, software tools, and ML infrastructure, bringing new ideas and approaches to the team.
What you’ll need to be successful
- 3+ years of experience in tool/infrastructure engineering, DevOps, or related roles with extensive experience in performance testing and managing large-scale infrastructure.
- Proven track record of building and operating highly reliable, scalable, and secure systems in a production environment.
- Advanced proficiency in scripting and automation using languages such as Python, Bash, or similar.
- Strong understanding of distributed systems, networking, and storage solutions, with the ability to architect complex systems from the ground up.
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