Software Engineer, Snorkel AI
Cloud Infrastructure Optimization
$172-240k
+ Equity (Stock options)
3 days a week in office
The AI data research lab
Job no longer available
The AI data research lab
501-1000 employees
Job no longer available
$172-240k
+ Equity (Stock options)
3 days a week in office
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 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.)
Desirable
- 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
- 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
What the job involves
- 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
- 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
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company;'s engineering, research, and go-to-market efforts.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
- Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
- PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
- One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
- Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
- Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-Founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at Snorkel AI