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
Requirements
8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures
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.