Senior Site Reliability Engineer, CentML
+ Stock Options
Machine learning training platform
Be an early applicant
Machine learning training platform
21-100 employees
Be an early applicant
+ Stock Options
21-100 employees
Company mission
To pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.
Role
Who you are
- This is a senior-level position, ideal for individuals with deep technical expertise and leadership experience in SRE
- 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, Ansible)
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
Our take
In an increasingly AI and ML-driven world, the demand for these technologies is skyrocketing, alongside their costs, leaving numerous companies without access to tools that could enhance their operations. CentML emerges as a solution, aiming to democratize AI and ML by making them more accessible and cost-effective for all.
Backed by a team with extensive expertise in AI, ML compilers, and ML hardware, CentML possesses a deep understanding of the inefficiencies prevalent in the industry. Among the challenges it addresses is the scarcity of AI chips. By meticulously analyzing clients' AI/ML requirements, CentML advises on suitable hardware options to optimize performance and minimize costs.
With its inception in 2022, CentML has swiftly garnered attention and funding, underscoring the market's appetite for its offerings. Recent funding will enable the company to further refine its product and conduct pivotal research in the field, solidifying its position as a pioneering force in democratizing AI and ML technologies.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2023
$26.7m
SEED
Jun 2022
$3.5m
SEED
Total funding: $30.2m
Company benefits
- An open and inclusive culture and work environment
- Fully stocked kitchen at the office
- Full health and dental benefits
- Parental Leave top-up for 6 months
- Continuous education budget
- Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask
Company HQ
Yonge-Bay Corridor, Toronto, ON
Leadership
Gennady Pekhimenko
(Co-Founder & CEO)Also an Associate Professor at the University of Toronto, a Faculty Member at Vector Institute, and a Research Co-Chair at MLCommons.
Shang Wang
(Co-Founder & CTO)Graduate Student Researcher at Vector Institute. Previously a Senior Software Engineer at Nvidia.
Akbar Nurlybayev
(Co-Founder & COO)Prior work includes Director of Engineering (Data Platform) at KAR Global and Software Development Manager at TradeRev.
Anand Jayarajan
(Co-Founder)Previously a Research Fellow at the Indian Institute of Technology, and a Software Development Engineer at Flipkart.
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