Software Engineer, Snorkel AI
Cloud Infrastructure Optimization
$172-240k
+ Equity (Stock options)
3 days a week in office
Data-centric enterprise AI platform for
Be an early applicant
Data-centric enterprise AI platform for
101-200 employees
Be an early applicant
$172-240k
+ Equity (Stock options)
3 days a week in office
101-200 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. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES C
Apr 2021
$35m
SERIES B
Total funding: $135m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
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.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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