2,202 Computer Science jobs available for remote work from home. Apply for positions such as Product Security Engineer, Product Security Engineer, Remote ISP Support Technician, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Collaborate with engineering and product teams to improve security features through threat modeling, assurance, and secure implementation. Identify security gaps, manage vulnerability assessments, and develop automation to scale security processes across the platform.
The Product Security Engineer will collaborate with engineering teams to improve product security through threat modeling, secure implementation, and vulnerability management. They will also develop automation and tooling to scale security processes and handle information security incidents across the platform.
The technician will provide first-line IT support by troubleshooting hardware and software issues via phone, email, or chat. They are responsible for documenting all resolutions in the ticketing system while maintaining high customer service standards.
The technician will provide first-line IT support by troubleshooting hardware and software issues via phone, email, or chat. They are also responsible for documenting all resolutions in the ticketing system and maintaining high performance metrics.
The technician will provide first-line support by troubleshooting hardware and software issues via phone, email, or chat. They are responsible for documenting all resolutions in the ticketing system while maintaining high performance metrics.
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The Cloud Engineer is responsible for implementing, automating, and maintaining cloud infrastructure across AWS, Azure, and GCP platforms. They will collaborate with engineering teams to build CI/CD pipelines and develop automation tools to enhance system scalability, reliability, and security.
You will own the end-to-end customer data infrastructure, including event pipelines, schema governance, and identity resolution. You will also collaborate with cross-functional teams to define instrumentation standards and drive the long-term tooling strategy.
The Business Development Manager will lead the enablement handoff for emerging solutions from the Incubation team to the broader sales and marketing organizations. This involves creating training materials, playbooks, and messaging to ensure the sales team is self-sufficient in positioning new technologies like AI and Business Intelligence.
The Senior Platform Engineer designs, builds, and maintains core cloud infrastructure platforms using a platform-as-a-product mindset. They focus on automation, infrastructure-as-code, and self-service capabilities to enable engineering teams to deliver software at scale.
The Engagement Manager II leads complex, large-scale projects and programs while ensuring delivery assurance and client satisfaction. They are responsible for managing customer expectations, driving business outcomes, and overseeing project teams to achieve strategic goals.
You will work across the full stack to drive high-leverage projects from concept to completion while collaborating with a multi-disciplinary team of engineers, researchers, and physicians. Responsibilities include shaping application architecture, producing technical documentation, and establishing consistent API patterns across services.
You will provide technical leadership for the simulation platform, guiding architectural decisions and ensuring the long-term health of the codebase. Additionally, you will own the technical delivery of features and mentor engineering team members to maintain high standards of quality.
You will own the end-to-end solution design and hands-on development of key features using Python, React, and AWS. Additionally, you will manage CI/CD pipelines, infrastructure, and the deployment of AI agents to production.
You will leverage AI tools to build and architect software features, design systems, and service layers for various client projects. Additionally, you will consult directly with clients, perform codebase audits, and coach client developers on industry best practices.
The Senior Application Developer will architect and build cloud-native, AI-powered applications using C# and Azure. They are responsible for leading technical design, mentoring team members, and integrating autonomous AI agents into business workflows.
The SRE will design, analyze, and troubleshoot large-scale distributed systems while managing cross-functional teams to solve complex business problems. They are responsible for promoting efficiencies and building relationships across development, operations, and product teams.
The analyst will conduct lead-less threat hunting and evaluate anomalous network events within a 24/7 Security Operations Center. They will also collaborate on incident investigations, develop analysis reports, and contribute to the improvement of SOC operational processes.
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You will lead the development of core trading flows across web, mobile, and browser extension platforms. This role involves fullstack ownership from concept to production while collaborating with product, design, and trading teams.
Lead and mentor a team of engineers to build and maintain highly available, scalable data infrastructure for blockchain transaction analysis. Collaborate with cross-functional teams to design, optimize, and monitor petabyte-scale data pipelines and database clusters.
The architect will design, develop, and improve IT service management processes while integrating frameworks like ITIL, Agile, and LEAN. They are also responsible for creating enterprise dashboards, managing data governance, and leading cross-functional teams to implement process improvements.
The developer will design and implement new features within a Scrum team while maintaining high code quality through regular code reviews. They are also responsible for analyzing requirements and staying updated on emerging technologies to address complex business logic.
You will design, implement, and optimize software algorithms and systems to support robotic manufacturing technologies. This role involves prototyping agentic AI capabilities and working within cross-functional teams to deliver scalable, high-performance software solutions.
The Solutions Architect will design and deploy scalable data engineering and AI solutions while serving as a trusted advisor to customers. This role involves balancing technical execution with pre-sales support to drive customer success and project delivery.
You will design, build, and deploy complex data solutions while collaborating with internal teams and customers to support their data journey. Additionally, you will provide technical guidance, ensure data quality, and maintain data governance across multiple customer accounts.
Develop, deploy, and test Node.js based micro-services while participating in architectural brainstorming sessions. Provide support to fellow developers and end-users while engaging in collaborative code reviews.
The Principal Architect will define and implement strategic technology roadmaps with a focus on applied AI, cloud infrastructure, and microservices to drive business value. They will also provide technical leadership, mentorship, and architectural governance to ensure high-quality, scalable, and secure software delivery across the enterprise.
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Lead implementation and onboarding engagements while assisting customers with project planning and technical escalations. Collaborate with internal teams to develop training materials and support product enhancements through testing and documentation.
The Senior Security Engineer will govern the vulnerability management lifecycle and automate security workflows to reduce developer friction. They will also partner with engineering and infrastructure teams to remediate security issues and ensure compliance with industry standards.
You will design, build, and deploy complex data solutions to support AI, machine learning, and business intelligence initiatives. Additionally, you will collaborate with customers to provide technical guidance and ensure the quality and security of data pipelines.
The developer will design, code, and maintain enterprise software components while championing the adoption of AI-assisted development practices across the team. They will also mentor team members on the effective and secure use of AI coding tools within the software development lifecycle.
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