The Role
About Us
We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
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 Senior Site Reliability Engineer, you will play a pivotal role in shaping the infrastructure and reliability practices at CentML. You will be responsible for leading complex projects, mentoring other SREs, and collaborating with cross-functional teams to ensure our systems meet the highest standards of reliability, performance, and security. This is a senior-level position, ideal for individuals with deep technical expertise and leadership experience in SRE.
What you’ll do:
Leadership & Strategy:
- Design, implementation, and operation of highly reliable, scalable, and secure ML infrastructure.
- Develop and drive SRE best practices across the organization, setting the standards for operational excellence.
Technical Excellence:
- Architect and build large-scale, distributed systems that support complex ML workloads, ensuring high availability and fault tolerance.
- Lead efforts in automation, configuration management, and infrastructure-as-code, minimizing manual operations and ensuring consistency.
- Optimize the performance and scalability of our systems, identifying and addressing bottlenecks before they impact users.
Incident Management & Response:
- Lead 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.
Continuous Improvement & Innovation:
- 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 SRE and ML infrastructure, bringing new ideas and approaches to the team.
What you’ll need to be successful
- 5+ years of experience in Site Reliability Engineering, DevOps, or related roles, with significant experience in leading and managing large-scale infrastructure projects.
- Proven track record of building and operating highly reliable, scalable, and secure systems in a production environment.
- Deep expertise in cloud platforms (e.g., AWS, GCP, Azure), containerization (e.g., Docker, Kubernetes), and infrastructure-as-code (e.g., Terraform)
- 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.
- Demonstrated experience in leading technical teams and projects, with the ability to mentor and develop other engineers.
- Excellent problem-solving skills, with a proactive approach to identifying and resolving issues before they impact the business.
- Strong communication and collaboration skills, with the ability to work effectively across different teams and stakeholders.
- Ability to operate effectively in a fast-paced, dynamic startup environment, with a focus on delivering results.
Benefits & Perks
- An open and inclusive work environment
- Employee stock options
- Best-in-class medical and dental benefits
- Parental Leave top-up
- Professional development budget
- Flexible vacation time to promote a healthy work-life blend
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
CentML strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.
Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.
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The Company
What We Do
We pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.
We believe honesty builds integrity, honing craftsmanship delivers excellence, and collaboration fosters community.
Why Work With Us
Our journey began in the esteemed Efficient Computing Systems lab at the University of Toronto, under the leadership of our CEO, Gennady Pekhimenko. Today, the EcoSystems lab stands proudly as one of the world’s foremost authorities in Machine Learning Systems.
Our founding team is made up of experts in AI, ML compilers and ML hardware and has led
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