Software Engineer; EC Lifecycle

Requirements

• 8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures and 2+ years working at a Staff level or equivalent
• Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred)
• Expertise designing REST for internal services and developers
• Experience developing and shipping enterprise software products, specifically those focused on data collection, or machine learning applications
• 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
• (Desirable) Experience in hyper-growth startup environments or scaling engineering orgs
• (Desirable) Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn
• (Desirable) Prior experience as a Tech Lead Manager (TLM) or equivalent role with a focus on cross-functional technical leadership and mentorship

• As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform
• You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient
• 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
• 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
• Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems
• 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
• Prototype, optimize, and maintain scalable services to power complex data user management pipelines
• Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines
• Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline
• Build proactively with empathy for both customers and subject matter experts using our tools
• Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams
• Partner with cross-functional teams to design and deliver improvements to dev‑infra, release processes, and internal tooling
• Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement