Snorkel AI Logo

Snorkel AI

Senior / Staff Software Engineer — Platform

Posted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
220K-300K Annually
Senior level
In-Office
San Francisco, CA, USA
220K-300K Annually
Senior level
Build and operate platform infrastructure, backend services, agent infrastructure, event-driven data pipelines, governance systems, CI/CD frameworks, and observability tooling. The role includes designing distributed systems on AWS, enforcing RBAC and compliance controls, optimizing infrastructure costs, defining reliability standards, participating in on-call, and leading complex engineering initiatives across teams.
The summary above was generated by AI

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Team

Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them.

About the Role

We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers.

We are looking to grow our team of Platform Engineers, and are hiring at multiple levels.

What You'll Do

  • Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams
  • Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably and failures are visible and recoverable
  • Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing), including PII handling, retention policy enforcement, and audit infrastructure for enterprise and regulatory compliance
  • Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines, and drive the transition toward robust, automated continuous deployment
  • Instrument services with OpenTelemetry, define and monitor SLOs (query latency, pipeline success rates, service reliability), and build alerting that catches issues before they become incidents — you will be on-call for the systems you build
  • Contribute to infrastructure cost visibility and optimization — query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern
  • Collaborate with engineers, product managers, and designers to bring consistency and high standards to codebases, infrastructure, and processes

What You'll Bring

  • 5+ years building platform infrastructure, backend services, or data systems in production — you have built and operated pipelines, data access layers, distributed services, or ETL/ELT systems at scale
  • Strong proficiency in Python, and experience designing REST APIs for internal services and developers
  • Strong background in distributed systems and cloud platforms (AWS preferred) — hands-on experience with services like S3, RDS, EKS, EventBridge, and IAM, and comfort working in a Terraform-managed environment
  • Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)
  • Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage
  • Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
  • Ability to work in a fast-paced environment with strong technical communication skills
  • Fluency with modern developer tooling and a willingness to adopt new tools quickly — the team evaluates and integrates new tooling regularly to improve velocity and reliability

Nice to Have

  • Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support
  • Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics
  • Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure
  • Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design
  • Experience with Ray or similar frameworks for distributed compute workloads
  • Experience in hyper-growth startup environments or scaling engineering orgs
  • Prior experience as a Tech Lead, Team Lead, or hands-on Engineering Manager

Why This Role

You'll have meaningful ownership over the infrastructure and services that every product team and customer deployment depends on. This isn't a maintenance role — you'll be making foundational architecture decisions that shape how the company scales, with a team that cares deeply about reliability, craft, and moving fast without breaking things.

Snorkel is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel embraces diversity and provides equal employment opportunities to all employees and applicants for employment.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$220,000$300,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

HQ

Snorkel AI Redwood, California, USA Office

55 Perry Street, Redwood, CA, United States, 94063

Similar Jobs

22 Days Ago
Easy Apply
In-Office
Easy Apply
268K-328K Annually
Senior level
268K-328K Annually
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Own the architecture and technical direction of Metropolis Recognition Platform, spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Design scalable streaming pipelines, rules systems, privacy and consent models, observability, testing, and progressive delivery. Lead RFCs, cross-functional alignment, architectural reviews, mentorship, and production quality across application, computer vision, data, security, platform, and partner teams.
Top Skills: AWSClaude CodeDatadogGitGitGithub CopilotGrpcJavaMySQLPostgresProtocol BuffersReactScalaSnowflakeTypescript
28 Days Ago
Hybrid
175K-230K Annually
Senior level
175K-230K Annually
Senior level
Hardware • Healthtech • Software • Analytics
Design and evolve reliable edge computing systems connecting cameras, sensors, deployed hardware, and cloud infrastructure. Responsibilities include architecture, distributed systems, diagnostic tooling, remote troubleshooting, sensor-fusion problems, code reviews, technical design discussions, and mentoring engineers. The role requires hands-on systems expertise across Linux, networking, hardware, and software, with ownership of ambiguous technical initiatives from conception through delivery.
Top Skills: AWSC#C++Edge ComputingFleet ManagementGoJavaLinuxNetworkingOta UpdatesPythonRf CommunicationRustUnix
27 Days Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Social Media
Lead the strategy, technical direction, and long-term roadmap for Pinterest’s big data and AI infrastructure. Build and scale frameworks for compute, job management, resource management, scheduling, and remote shuffling across petabyte-scale datasets. Partner with internal customers on critical big data use cases and provide company-wide technical leadership on reliable, efficient data processing and storage.
Top Skills: AWSFlinkGoJavaKubernetesPrestoPythonPyTorchRayScalaSparkTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account