Top Engineering Jobs

Build and maintain scalable self-service tools, automated workflows, and infrastructure for data and machine learning platforms. Collaborate with data engineers, scientists, and software engineers to develop reliable data products, implement monitoring and alerting, improve platform usability, integrate new technologies, and document workflows. The role supports data ingestion, analytics, machine learning processes, and scalable platform infrastructure.

Leads the technical direction and architecture of data product systems, including APIs, backend services, data stores, and processing systems. Builds and reviews production code, partners with product managers, data scientists, and ML engineers, and oversees system design, operations, observability, and on-call health. The role also mentors engineers, drives cross-team technical alignment, evaluates machine-learning production systems, and guides effective use of AI engineering tools.

Leads full-stack development for account management capabilities, designing secure, scalable cloud-based applications with Vue.js, TypeScript, and Node.js. Responsibilities include developing microservices, improving reliability and observability, integrating AI-assisted engineering workflows, resolving high-priority issues, mentoring engineers, leading technical ceremonies, and maintaining documentation. The role focuses on authentication, identity and access management, invoicing, payment terms, and address book functionality.

Own full-stack cart, checkout, and order-confirmation initiatives from technical design through production measurement. Build accessible web experiences with TypeScript and modern frameworks, resilient Python APIs and services, stateful transaction workflows, and reliable integrations. Improve performance and completion through experimentation, observability, feature flags, and customer data. Collaborate with product, UX, analytics, platform, and commerce teams while contributing code reviews, testing, documentation, mentoring, and operational readiness.

Design, build, deploy, and operate production APIs, backend services, libraries, operational data stores, and data-processing systems. Participate in design reviews, own on-call responsibilities, ensure reliability for retries, idempotency, and schema changes, and use AI-assisted engineering throughout the software lifecycle.