2,654 Computer Science jobs available for remote work from home. Apply for positions such as DevOps Engineer, Platform, Staff Implementation Engineer, Engineering Manager - Data Enablement, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The DevOps Engineer will build and maintain CI/CD pipelines, infrastructure as code, and containerized workloads to enable self-service delivery. They will also partner with cross-functional teams to ensure service reliability, observability, and security within the AWS environment.
The Staff Implementation Engineer will plan, architect, and deploy on-premise communications solutions within customer environments. They are responsible for integrating systems, troubleshooting performance issues, and training customer staff to maintain the deployed solutions.
The Engineering Manager provides strategic direction for data enablement departments while managing budgets, schedules, and technical objectives. They are responsible for designing solutions, coaching engineers, and fostering a collaborative team environment that aligns with organizational priorities.
You will design and implement core JAX components to drive performance on NVIDIA products while collaborating with AI researchers. Additionally, you will build tools to increase the efficiency of teams developing AI-based systems and bridge the gap between research and real-world applications.
Design and implement scalable, cloud-native SaaS applications using microservice architectures and advanced AI agent frameworks. Collaborate with cross-functional teams to guide architectural decisions and deliver high-performance, reliable AI-driven solutions.
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Design and implement scalable, cloud-native SaaS applications using microservice architectures and advanced AI agent frameworks. Partner with cross-functional teams to guide architectural decisions and deliver reliable, high-performance AI solutions.
The Technology Implementation Lead delivers scalable, governed data solutions for Finance priorities while aligning with enterprise data strategy and architecture. This role involves leading the full lifecycle of data foundation projects, including Databricks development, data quality monitoring, and metadata management.
The Staff Data Engineer will lead enterprise-wide data architecture strategy and design while establishing engineering best practices. They will develop ETL pipelines, manage data quality frameworks, and collaborate with cross-functional teams to support data-driven decision-making.
The Engineering Manager leads multiple development teams, overseeing the full people-management lifecycle including hiring, performance, and career development. They also act as the project management layer, partnering with Product to define scope, manage schedules, and ensure delivery commitments are met.
The Lead Technical Analyst will drive innovation in tax-related processes by integrating technology solutions and managing enterprise-wide applications. They are responsible for leading configuration, data quality, and reporting efforts while mentoring teams and collaborating with stakeholders.
The Technical Account Manager will build high-value relationships with enterprise customers to understand their IT infrastructure and business needs. They will provide proactive technical guidance, manage incidents, and ensure the efficient operation of Red Hat OpenShift environments.
The Security Consultant will act as a trusted advisor to the Client Technology Platforms Delivery organization, defining security risks and controls for technology programs. They will facilitate the delivery of information security services throughout the system development life cycle and translate technical vulnerabilities into business risk terminology.
The Senior Technical Product Manager will define end-to-end AI system requirements and translate model capabilities into clear product decisions. They will collaborate closely with engineering teams to balance quality, latency, cost, and reliability while driving product execution.
The Senior Support Engineer will provide remote-based technical support for mission-critical SAP applications by troubleshooting and resolving complex issues. They will also develop, test, and deliver code fixes while coordinating with cross-functional teams to ensure consistent client experiences.
The Channel Presales Technical Architect will act as a trusted technical advisor to channel partners, helping them design and position HPE storage solutions. This role involves driving partner enablement, supporting live sales opportunities, and managing technical pipelines to ensure revenue growth.
The Senior Production Support Engineer will establish a production engineering function, owning the incident response lifecycle and tools. They will collaborate with product teams to implement monitoring, automate repetitive tasks, and ensure high availability of the platform.
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You will build and maintain front-end interfaces and back-end logic for CRM and ERP workflows using modern frameworks and APIs. Additionally, you will troubleshoot existing code, document your work, and participate in client sessions to translate business requirements into technical solutions.
The Linguist will perform linguistic analyses on large datasets and evaluate AI model outputs for errors and biases. They will also collaborate with engineers to develop annotation guidelines and conduct research on various languages.
The Senior Network Engineer will manage the full lifecycle of complex network and firewall incidents while serving as a subject matter expert for the Managed Services organization. They will lead technical project delivery, perform root cause analysis, and ensure the stability and scalability of client network environments.
The role involves acting as a technical advisor to channel partners to design and position HPE storage solutions while driving revenue growth. You will also provide technical enablement, conduct workshops, and support complex sales opportunities through demos and solution architecture.
The Channel Presales Technical Architect will act as a trusted technical advisor to channel partners, helping them design and position HPE storage solutions. This role involves driving technical advocacy, conducting enablement workshops, and supporting partners in winning complex storage opportunities.
The role involves acting as a technical advisor to channel partners to drive the design and positioning of HPE storage solutions. You will be responsible for partner enablement, supporting complex sales opportunities, and managing the technical pipeline to ensure revenue growth.
Design and build scalable platform capabilities and self-service experiences for experimentation, AI, and data workloads. Collaborate with engineering, product, and data science teams to define requirements and deliver reliable, end-to-end solutions.
You will design and maintain data pipelines to integrate laboratory instruments and third-party platforms into a unified, queryable data foundation. You will also enforce data security and compliance boundaries while supporting analytics, AI systems, and operational decision-making.
Design and deliver complex, business-critical automations and integrations, including AI-powered and agentic workflows. Own monitoring, incident response, and the development of reusable patterns to improve team efficiency and system reliability.
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You will help build and improve code, infrastructure, and deployment solutions while implementing CI/CD pipelines. Additionally, you will set up monitoring tools and collaborate within an agile scrum team to deliver high-standard production software.
The Lead Quality Assurance Analyst will define and implement comprehensive test strategies while overseeing manual and automation testing across a complex integrated platform. This role involves managing a hybrid QA team, coordinating system-level testing, and collaborating with cross-functional stakeholders to ensure high-quality delivery.
The Conversion Developer is responsible for managing the implementation of data conversion processes, including setup, load program maintenance, and reconciliation. They work directly with clients to perform data mapping, troubleshoot technical issues, and ensure business requirements are accurately reflected in the target system.
You will work on initiatives that enhance subscription and monetization workflows, including pricing and product packaging. You will collaborate with cross-functional teams to develop and execute engineering solutions that align with business goals.
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