2,202 Computer Science jobs available for remote work from home. Apply for positions such as Computer Science Tutor (Private) | TeachMe.To, Principal Consulting Engineer - VMware Cloud Foundation Operations, Data Scientist, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Deliver personalized one-on-one computer science tutoring sessions via video to students of various levels. Track student progress, provide hands-on coding guidance, and maintain accountability through practice and feedback.
The Principal Consulting Engineer designs, deploys, and optimizes private cloud infrastructure using VMware Cloud Foundation 9.0. This role provides technical governance, mentorship to delivery teams, and serves as a strategic advisor to executive stakeholders.
You will architect data models and intelligence layers to enable AI agents to automate business processes across the product ecosystem. Additionally, you will design, train, and deploy machine learning models while managing infrastructure and data pipelines.
Design and implement globally distributed, scalable, and low-latency DNS services while ensuring high quality and system resilience. Collaborate with partner teams to manage dependencies, deploy features, and act as a Designated Responsible Individual (DRI) for service health.
Develop and implement innovative compiler features and optimization passes using tools like LLVM and MLIR. Collaborate with hardware architects and researchers to design programming abstractions and optimize AI workloads for next-generation hardware.
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You will lead a world-class data engineering practice and shape technical strategy to build data products that power GTM strategy. You will partner with cross-functional teams including IT, product engineering, and data science to support analytics, machine learning, and AI workloads.
Provide timely support to developers by triaging cases, answering technical questions, and escalating issues to the appropriate teams. Monitor feedback channels and identify opportunities to improve internal support tooling and documentation.
You will contribute to the conceptualization and documentation of new features while building and extending interactive React and React Native applications. You will work closely with the CTO and engineering team to maintain high code quality and system integrity across the platform.
You will design adversarial scenarios and conduct red teaming engagements to identify vulnerabilities in frontier AI systems. Additionally, you will build internal tools for the Arena and translate security findings into actionable reports for clients.
You will design, develop, and operate sophisticated cloud-based AI solutions using the CNCF ecosystem and NVIDIA-certified hardware. Additionally, you will optimize system performance, troubleshoot complex technical issues, and mentor team members and customers.
You will be responsible for designing, deploying, and managing highly available, large-scale distributed systems within Twilio Sendgrid. Additionally, you will partner with engineering and product teams to ship reliable features and maintain high standards of code quality.
The Credit Decisioning Specialist will analyze portfolio performance and build statistical models to improve credit underwriting and profitability. They will independently design experiments and translate complex data analysis into practical lending rules and business decisions.
Provide timely technical support to developers regarding billing, implementation, and optimization of Supabase services. Triage incoming support cases, maintain documentation, and collaborate with engineering teams to resolve issues.
The Database Administrator will focus on the operations, health, and optimization of mission-critical databases including Oracle and MS SQL Server environments. Responsibilities include performing day-to-day operations, resolving incidents, automating tasks, and collaborating with global teams to ensure high availability.
You will build, maintain, and scale backend systems while pioneering new product features. You will also contribute to engineering excellence through technical design discussions, code reviews, and documentation.
The Director will own the end-to-end system management lifecycle for all external Global Clinical Operations applications and platforms. They are responsible for driving system maintenance, ensuring data integrity and security, and collaborating with stakeholders to align technology investments with organizational goals.
The Product Owner serves as the technical bridge between clinical vision and engineering, managing the product backlog and defining features for the Sierra product line. They are responsible for leading Agile ceremonies, overseeing the release process, and ensuring clinical validation of hardware and software features.
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Lead and grow a global SRE team to ensure 24x7 coverage and maintain 4-9's availability for mission-critical software. Oversee release management, capacity planning, and performance optimization while partnering with development teams to ensure production readiness.
The Customer Success Manager will manage strategic banking accounts by ensuring measurable business outcomes and driving product value. They are responsible for maintaining long-term relationships, identifying upsell opportunities, and coordinating with internal teams to meet customer performance objectives.
The Senior Manager of Data Engineering will lead and mentor a team of data engineers while defining the technical strategy and architecture for data pipelines. They are responsible for managing the team's roadmap, ensuring cross-functional alignment, and driving the optimization of data infrastructure.
The VP of Engineering will own the technical vision, architecture, and roadmap for the trade organization while leading and scaling a multi-team engineering department. They will act as the executive owner of trading systems reliability, performance, and risk while partnering with cross-functional leadership to set technical standards.
The Senior Database Reliability Engineer will lead and maintain core database systems to ensure high performance, availability, and security. They will collaborate with engineering and data teams to manage schema changes, automate pipelines, and perform incident response.
The Product Analyst is responsible for release planning, status reporting, and writing business requirements. They collaborate with teams to allocate resources, prioritize features, and track customer bugs.
You will lead engineering efforts by pairing with clients to teach agile practices, test-driven development, and continuous delivery. You are responsible for building secure, user-driven software solutions while championing AI-augmented workflows to accelerate delivery.
Collaborate with product, design, and support teams to build new features and resolve customer issues. Participate in code reviews and leverage AI-powered tools to scale the platform and maintain a robust codebase.
The Senior Site Reliability Engineer will perform system analysis, troubleshoot performance issues, and design infrastructure fixes to improve platform observability and capacity. They will collaborate with engineering teams to implement automation, manage KPIs, and resolve customer incidents.
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Lead the engineering team in developing and delivering high-quality, maintainable software for complex applications. Partner with product managers and architects to drive technical initiatives while mentoring developers and fostering a strong engineering culture.
The engineer will identify and drive improvements to the end-to-end inference performance of state-of-the-art LLMs across various hardware platforms. They will also design, implement, and test components for AI frameworks to optimize efficiency and reduce computing footprint.
You will contribute to core backend systems including API platforms, messaging, personalization, and payment infrastructure. You will be responsible for the full development lifecycle, from identifying requirements to launching scalable, highly-available distributed systems in production.
Develop, deploy, and monitor predictive models while partnering with data analysts to integrate results into decision-making. Analyze large datasets to discover trends and patterns to support Basketball Operations stakeholders.
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