Top Senior Level Python Jobs in San Francisco Bay Area
Architect, build and optimize Snap's batch and real-time data processing infrastructure and platform for a wide range of use cases.
Seeking a highly skilled and motivated Staff Network Engineer to lead Vulnerability Management for US Federal customers. Responsibilities include identifying and remediating network vulnerabilities, collaborating with cross-functional teams, and ensuring a secure network environment. Opportunity to play a key role in creating a secure and resilient network infrastructure to support business objectives.
As a Staff Software Engineer for the Big Data Federal team at ServiceNow, you will be responsible for building the next-generation platform, developing data engineering components, leading complex projects, and enhancing visualization tools.
Join the AI Solution Success team at ServiceNow to implement AI products on the Now platform for early adopter customers. Contribute to cutting-edge innovations and drive business growth by creating scalable AI solutions. Collaborate with a global team to validate AI solutions and support new implementations.
Seeking a Senior AI Engineer to design and implement machine learning algorithms, preprocess data, train and evaluate models, deploy models to production, collaborate with cross-functional teams, and optimize model performance.
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Maintain AWS architecture, contribute to developing new cloud services, refactor code base, optimize performance, and reduce costs for Redflag's products. Requires 10+ years of experience, Bachelor's in relevant field, expertise in AWS services, Python, SQL, and strong problem-solving and communication skills.
Develop new APIs and services, contribute to web crawling and data processing, refactor code base, optimize performance, minimum 8 years of full-time experience in Python and web development
The Software Engineer will be part of the Seller Experience team developing scalable solutions for sellers on the Whatnot platform. Responsibilities include enhancing the seller journey from onboarding to growth, with a focus on user-friendly experiences. Ideal candidates have 5+ years of software engineering experience and proficiency in Python, JavaScript, and Elixir. Prior experience in ecommerce technology is a bonus.
As an Infrastructure Software Engineer at Whatnot, you will be responsible for building and scaling the platform's live streaming and marketplace service, ensuring reliability, scalability, and performance. You will work on deploying services, scaling for high-volume events, providing architectural recommendations, and maintaining a CI/CD pipeline. Ideal candidates should have 5+ years of infrastructure engineering experience, a Bachelor's degree in Computer Science or related field, experience in a hyper-growth startup, and expertise in public cloud environments and CI/CD workflows. Strong coding skills and excellent communication are required.
The Backend Engineer at Whatnot will work on different aspects of buying and selling on the platform, focusing on building scalable and maintainable backend systems. The role involves prototyping new ideas, shipping high-quality code quickly, and collaborating with other teams for extreme scale.
Join Benchling as a Data Platform Engineer to build high-throughput messaging platforms, data warehouses, schema registries, and data pipelines for internal and external customers. Collaborate with product teams to deliver data-driven capabilities while setting high-quality standards as the company scales.
Design, build, and maintain payment platform services and infrastructure at Square. Responsible for building high-volume, low-latency systems, managing sensitive data, and contributing to global payments strategy. Mentor engineers, participate in agile processes, and focus on operational excellence for fault-tolerant systems.
Design and implement production grade systems, plan and execute complex migrations, establish standards, build automation, and improve on-call experience. Requires 5+ years experience with scripting language and database technologies, as well as strong problem-solving skills and effective communication.
Design, engineer, & implement reliable, scalable, and cost-efficient systems to support training and serving deep learning models on the ML Platform team at Liftoff. Collaborate with ML, Software, and Infrastructure engineers to shape the long-term ML Platform strategy and roadmap. Remote work available in select US states. Base salary ranges from $300,000 to $350,000 depending on location and experience.
As a Senior Software Engineer on the Payment Foundations team at Square, you will be responsible for designing, building, and maintaining Payments platform services and infrastructure. Your role will involve building reliable, high-volume, low-latency systems and working with product teams to enable Square's capabilities for merchants worldwide.
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