Top Front End Developer Jobs in San Francisco Bay Area TEST

Build and own systems that enable enterprises to organize, manage, and secure Retool at scale. Work across the full stack — backend systems, data pipelines, and product infrastructure — to improve admin onboarding, project/permissions models, AI cost controls, and multi-space/instance governance. Collaborate with product and design to deliver scalable, secure, customer-facing platform features and telemetry for large organizations.

Build systems enabling enterprise-scale use of Retool: admin onboarding, permissions and projects, AI cost controls, spaces/instance management, telemetry and backend pipelines. Work full-stack across web, data pipelines, and platform infrastructure to make governance scalable, secure, and easy for large customers.

Design, implement, benchmark, and optimize CUDA-based GPU kernels and custom operators for on-vehicle ML inference. Build profiling and validation tooling, collaborate with compilers, runtime, and architecture teams, and deliver high-performance, production-grade libraries meeting strict latency, throughput, and reliability targets.

Build and operate foundational event- and data-driven platform systems, tools, and libraries to enable product features. Work cross-functionally with Product, Data Science, Data Engineering, and AI teams, own full-stack development as needed, and monitor/optimize production systems for reliability and performance while prioritizing business impact and developer ergonomics.

Lead architecture and R&D for high-throughput, resilient payments systems. Design EVM infrastructure and Solidity smart contracts, implement ZK cryptography, build cloud-native Kubernetes platforms with GitOps and CI/CD, and develop AI-native/agentic capabilities for payments, fraud detection, and automation. Mentor engineers, drive proofs-of-concept, and align technical solutions with policy and business stakeholders in a regulated environment.

Design, build, and deploy intelligent plugins and automations for HR workflows using AI platforms (Moveworks/Serval), integrating with enterprise systems (Workday, ServiceNow, Concur). Lead requirements gathering, technical analysis, testing, documentation, and secure deployment. Drive the HR Automation and AI roadmap, provide technical guidance, and collaborate across HR, IT, and business stakeholders to deliver scalable integration solutions.

The Senior Analytics Engineer will develop data strategies, maintain data pipelines, create dashboards, and ensure data accuracy for decision-making.

The Software Engineer, Services Infrastructure will design, build, and maintain core infrastructure on AWS, enhance security, and improve operations through automation and observability, contributing to efficient infrastructure development in biotechnology.

As a Senior Staff Software Engineer at Altana, you'll develop and maintain customer-facing applications, design technical solutions, mentor junior developers, and ensure code quality while collaborating on large-scale AI-driven projects.

The Manager, Data Engineering will lead and grow Crunchyroll's data engineering team, focusing on data architecture, governance, and modernizing data platforms within AWS and GCP ecosystems.