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Infrastructure Reliability Engineer
2 months ago
ABOUT BASETEN LABS, INC.
We are an innovative team of creators supported by leading investors such as IVP, Spark Capital, and Sarah Guo at Conviction. Machine Learning teams at major enterprises and pioneering AI-native organizations utilize Baseten to enhance their core production workloads with top-tier performance, security, and dependability. Having achieved product-market fit and secured Series B funding, we are poised to make significant strides in the expansive ML infrastructure market. If you are eager to tackle engaging and pertinent challenges while contributing to the development of groundbreaking solutions, we invite you to explore this opportunity.
As a Site Reliability Engineer, your role will involve conceptualizing and constructing resilient systems and processes that guarantee our infrastructure remains scalable, dependable, and efficient. This encompasses automating deployments, monitoring systems, optimizing performance, and managing incidents.
Our team collaborates closely with users, gaining insights from their previous challenges in operationalizing ML, guiding them through our platform, and transforming our experiences into actionable ideas for enhancing Baseten.
KEY RESPONSIBILITIES:
- Develop and sustain scalable infrastructure solutions.
- Possess extensive expertise in Kubernetes.
- Recognize the value of automation and implement it where appropriate, such as in managing CI/CD pipelines.
- Establish standards and best practices for reliability and performance.
- While prior ML experience is not mandatory, a willingness to learn about it is essential.
- Bonus Qualifications: Relevant open-source observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry).
ADDITIONAL QUALIFICATIONS:
- Capable of managing products and projects from inception to completion; our engineers and designers also act as project managers, so we value team members who can empathize with users, comprehend and draft project specifications, and oversee the full execution of projects.
- Comfortable navigating uncertainty and appreciating the process as much as the outcome.
- Driven by customer challenges and take pleasure in crafting simple, elegant solutions that minimize unnecessary complexity.
- Exercise sound judgment regarding trade-offs and the tools required to address problems, avoiding an overemphasis on trendy technologies unless they are the right fit.
- Exhibit pride, ownership, and accountability for your work, expecting the same from colleagues.
TECHNOLOGY STACK:
Backend — Go, Python, Postgres
Platform — Kubernetes, Go, Postgres, Redis, Kafka
Infrastructure — GitOps, Flux, Terraform, AWS/GCP
WHAT WE PROVIDE:
- Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums).
- A unique chance to be part of a rapidly expanding startup in one of the most thrilling engineering domains of our time.
- An inclusive and supportive work environment that promotes learning and growth.
- Exposure to a variety of ML startups, providing unparalleled learning and networking opportunities.
We are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
