We are looking for an engineer for our Infrastructure team to help us improve and manage the efficiency, usage, and cost of our cloud and overall infrastructure.
Primary Responsibilities
- Establish Snorkel’s FinOps engineering practice to drive centralized cost management and optimization strategies.
- Provide visibility into metrics, performance, usage, and cost across infrastructure and related SaaS tools used at Snorkel (e.g., Datadog, LaunchDarkly).
- Stay up-to-date on evolving cloud pricing models, available discounts, industry trends, and best practices across AWS, Azure, GCP, and beyond.
- Advise enterprise customers on understanding Snorkel’s product from an efficiency perspective and suggest optimization strategies.
- Contribute to the design and improvement of observability and alerting systems for Snorkel’s SaaS and PaaS platforms.
- Collaborate closely with infrastructure teams to continuously evolve our Kubernetes and broader cloud strategies.
- Partner with engineering teams to provide design suggestions that improve resource efficiency and reduce operational cost.
- Build dashboards, tools, and reports to highlight high-cost areas and forecast future expenses for leadership visibility.
- Contribute to Snorkel’s engineering culture through mentorship, open communication, user empathy, and advocacy of strong engineering practices.
Work a hybrid schedule, with three days per week in our Redwood City HQ or San Francisco office.
Minimum Qualifications
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Strong development and debugging skills in Python.
- 3+ years of experience in software development (academic experience included).
- Deep understanding of at least one major cloud provider (AWS, Azure, or GCP) and the Kubernetes ecosystem.
- Experience with optimization and desire to take ownership of our cloud workloads to identify inefficiencies and recommend cost-saving opportunities (e.g., optimizing EKS node utilization, recommending appropriate EC2 instance types, etc.).
Preferred Qualifications
Successful candidates will likely have most of the following. These are guidelines, not strict requirements:
- Strong experience in designing, building, and managing cloud infrastructure for enterprise platforms on AWS, GCP, or Azure (e.g., EC2, EKS, VPC).
- Experience working at high-growth technology startups, and able to balance agility and clarity with rigor and long-term sustainability.
- Proficient with infrastructure-as-code tools such as Terraform, CloudFormation, or Helm.
- Hands-on experience with CI/CD systems and test infrastructure for large, complex codebases.
- Familiarity with cloud cost monitoring and reporting tools such as Kubecost, AWS Cost Explorer, Datadog Cloud Cost Management, Cast AI, or similar
[Nice to have]:
- Hands-on experience working with LLMs and API providers such as OpenAI, Anthropic, and Amazon Bedrock.
- Experience creating and maintaining observability dashboards using platforms like New Relic, Datadog, or Grafana.
- Experience building and maintaining cost visibility dashboards for various cloud services.
The salary range for this position based in the San Francisco Bay Area is $172,000.00 - $240,000.00. All offers include equity compensation in the form of employee stock options.
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