Top Software Engineer Jobs in San Francisco Bay Area
Lead the development, optimization, and productionization of a petabyte-scale data platform using Beam and Spark in the cloud. Build self-serve capabilities for customers to adopt the next generation data processing platform. Design and implement scalable distributed data systems in the cloud using the latest technologies. Take ownership of technical projects and contribute to the team's product roadmap. Conduct technical interviews, recruit, onboard, and mentor junior engineers and interns.
Design core platform backend software components, experience with cloud platforms like GCP and Azure, analyze and improve efficiency, scalability, and stability of system resources, work on large scale initiatives to raise the overall engineering bar, participate in open source projects
Senior Software Engineer role at Cruise focused on improving developer productivity through tools and services. Responsibilities include shipping improvements, identifying and solving engineering pain points, influencing technical roadmap, evaluating new tools, driving best practices, and mentoring engineers. Required qualifications include 6+ years of cloud systems experience, Go and grpc proficiency, attention to detail, leadership skills, research abilities, trade-off decision-making, mentoring passion, and interest in self-driving technology.
Design, develop, and maintain integrations within the Workday platform using various integration tools. Collaborate with teams to gather requirements and troubleshoot integration issues. Stay updated with Workday releases and best practices.
Lead the development and implementation of analytical capabilities and applications, create machine learning models and pipelines, oversee technology proof of concept projects, collaborate with Data Scientists and Analysts, mentor junior engineers, and analyze data to gain insights into user behavior.
Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.
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Provide technical leadership for diverse technology projects using JavaScript, Node.JS, TypeScript, SQL, Python, Docker, Kubernetes, and AWS. Collaborate with digital product managers to deliver cloud-based solutions for financial empowerment. Mentor team members and stay abreast of tech trends.
Seeking DevOps Engineers passionate about marrying data with emerging technologies. Collaborate with Agile teams, design, develop, test, and support technical solutions in full-stack development tools. Share passion for tech trends, experiment with new technologies, and mentor engineering community. Deliver cloud-based solutions and drive transformative experiences.
Design, build, and operate APIs and services for Cash App's authentication and authorization systems. Collaborate with product management and design to develop new experiences and contribute to the safety of customers' accounts. Work on scaling the architecture and handling large monolith codebases and microservices.
Design, build, and support core systems for Support Product on the Trust team. Creatively solve technical problems and influence the technical direction of the technology stack. Collaborate in cross-functional project teams to deliver products to production.
The Staff Software Engineer on the Web Payment Experience team at Square mentors other engineers, sets technical direction, develops JavaScript APIs and UIs, maintains APIs for tokenization platform, and works across the stack to build reliable experiences for developers and merchants.
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Responsible for providing architectural solutions related to VoIP applications and RingCentral's unified communications platform. Designing and maintaining the global carrier network, testing new VoIP applications, providing support and training, and managing projects.
The Professional Services Contact Center Engineer at RingCentral will play a key role in planning and development of the contact center, with a focus on NICE CXone Studio and Central functionality. They will provide technical configuration for IVR programming, database design for CRM applications, and assistance in technical architecture and analysis. Strong troubleshooting and problem-solving skills are required, along with excellent communication and interpersonal skills.
Sr. Automation Systems Engineer with extensive experience in researching, configuring, and deploying automation systems within enterprise organizations. Responsibilities include leading automation initiatives, integrating systems through scripts and APIs, maintaining automation configurations, and collaborating with cross-functional teams.
Lead the development of next-generation security platform, including distributed graph storage systems. Drive technical strategy and roadmap. Hire and grow a team of engineers. Work closely with product management to deliver innovative products. Remote-first company.
Develop and improve Anti-Virus and Enhanced Detection and Response Security Software as part of the sensor development team. Collaborate with multi-functional teams in designing and building software. Strong knowledge of C++ and Windows OS Kernel and Driver Development is required.
As an Enterprise Solutions Engineer at DataGrail, you will lead technical demonstrations, provide deep technical and business discovery, own the technical relationship with customers, and collaborate with various teams to drive revenue. You will also contribute feedback to the Product team and play a pivotal role in the sales process.
Seeking a talented gameplay engineer to focus on player engagement and retention by expanding gameplay telemetry, designing new gameplay systems, and staying updated on industry innovations. Requires strong C++ skills, self-motivation, and 3+ years of experience.
Research, design, and build high-impact end-to-end machine learning systems for customer growth. Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions. Lead the design of scalable ML solutions in production. Promote and role-model best practices of data science, engineering, and communication throughout the organization. Evangelize ML adoption and innovation across the product and engineering teams. Foster a diverse community of data scientists and ML engineers.
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