Senior Software Engineer (Expert Contributor Lifecycle)

Requirements

• 6+ years of professional experience developing performant, intuitive, and scalable web application architectures
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• Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred)
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• Expertise designing REST for internal services and developers
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• Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications
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• Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
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• Comfortable working with:
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• Infra & deployment technologies: Terraform, Docker, Kubernetes
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• CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm
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• Ability to work in a fast-paced environment with strong technical communication skills
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• Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape
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• (Desirable) Experience in hyper-growth startup environments or scaling engineering orgs
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• (Desirable) Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn
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• (Desirable) Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager

What the job involves

• As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors
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• Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models
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• Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention
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• Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems
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• Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality
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• Prototype, optimize, and maintain scalable services to power complex data user management pipelines
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• Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines
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• Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline
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• Build proactively with empathy for both customers and subject matter experts using our tools
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• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes
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• Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement