2,205 Computer Science jobs available for remote work from home. Apply for positions such as Software Engineering Manager, SAP BTP Developer, Manager, Technical Product (AAI), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead and grow a team of mobile and full-stack engineers to deliver guest-facing mobile experiences for iOS and Android. Oversee the full product lifecycle, from technical architecture and API design to release and post-launch monitoring.
Lead Employee Central projects from discovery to deployment, managing development teams and overseeing end-to-end application delivery. Design and configure comprehensive SAP BTP and SuccessFactors solutions while facilitating stakeholder workshops to translate business requirements into technical specifications.
The Technical Product Manager translates high-level strategic visions into granular, developer-ready requirements and technical blueprints. They manage the daily execution of features and bugs while ensuring the final build aligns with the original product vision.
Provide high-level technical support for B2B investments, specifically Sterling B2B Integrator, via phone and remote connections. Investigate complex enterprise system issues and contribute to internal and external knowledge base documentation.
Lead the design and implementation of scalable, secure, and fault-tolerant cloud infrastructure for ClickHouse databases. Manage incident response, post-mortem analysis, and the establishment of SLOs and SLAs to ensure service reliability.
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Research security vulnerabilities and threats affecting SAP products to develop mitigations and security controls for clients. Conduct security audits and assessments for customer ERP and database environments to ensure proactive threat protection.
Maintain user-facing services and production systems using automation and sound engineering principles. Build and scale AI infrastructure using Ansible, Terraform, and Kubernetes while managing on-call rotations and monitoring systems.
Build and lead processes to ensure the reliability, availability, and scalability of the cloud infrastructure running ClickHouse databases. This includes managing incident response, establishing SLOs/SLAs, and developing tools to optimize operational efficiency.
Lead SRE teams by providing technical mentorship and driving partnerships across Engineering, Operations, and Product teams. Apply statistical analysis to identify performance bottlenecks and build automation tools to increase platform reliability.
The role involves grading computer science projects and assessments within the Canvas Learning Management System. The grader will also attend calibration meetings and assist with seasonal projects to support the OnRamps mission.
Develop and architect high-quality, scalable iOS applications to deliver engaging experiences to millions of users. Collaborate with cross-functional teams to define features and promote technical excellence through clean architecture and performance monitoring.
The Technical Account Manager serves as a trusted advisor for large customers, ensuring successful Postgres implementations and expanding technology adoption. They act as the single point of contact for all technical areas, managing escalations and coordinating between internal teams and the client.
Design, build, and maintain scalable data pipelines and ingestion processes to ensure data quality and reliability across enterprise platforms. Support the development of modern data architecture and automate processes to improve operational efficiency for internal and external stakeholders.
The Senior Software Engineer leads the design, development, and support of cloud-based software solutions and platforms. They provide technical leadership and mentorship to junior engineers while ensuring product quality through testing and architecture alignment.
Build and maintain the infrastructure, deployment pipelines, and developer harness for AI-powered products. Manage model provider APIs, self-hosted inference stacks, and cost observability in partnership with finance.
Lead the enterprise AI and intelligent automation strategy across Global Business Services to drive digital transformation and business value. Orchestrate the implementation of AI solutions across end-to-end processes while managing strategic partners and executive stakeholders.
Design and develop advanced testing frameworks, reusable libraries, and CLI tools to support scalable infrastructure. Integrate these tools into CI/CD pipelines to support functional, performance, and security testing across diverse platforms.
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The QA Test Engineer is responsible for designing, developing, and executing manual and automated test cases for Vertiv products. This includes building automation frameworks, logging defects, and collaborating with development and program management to define test strategies.
The engineer will be responsible for designing, implementing, scaling, and maintaining the code that powers production systems within the international Measurement team. This role involves pushing technical limits to accommodate significant business growth and playing a key role in building the next generation of Cint products.
The role involves advancing backend microservices, addressing critical concerns, and employing established tools to build scalable cloud solutions for countering cyber assaults. Responsibilities also include innovating with Large Language Models to enhance Charlotte AI capabilities and constructing data pipelines for LLM training.
The Software Engineer II will collaborate across operations and application development teams to create tooling and software that monitors and improves system reliability. Responsibilities include participating in design, development, improvement, operation, and automation, following DevOps practices, and testing/monitoring code performance.
The Lead Software Engineer will implement new features for the 3D model viewer and editing tools using Typescript, Three.js, WebGL, and React, developing new ways for customers to interact with Matterport models. They will collaborate cross-functionally to define requirements, explore feasibility, deliver high-impact features, create prototypes, and advocate for new technical architecture.
The Project Manager will coordinate the full software development lifecycle in a scientific environment, defining requirements, planning quality control, and managing implementation and integration using Agile methodology. This role involves daily coordination of complex technical projects dealing with scientific and genomic data, tracking milestones, and advising senior management on technical issues.
This role involves designing, developing, and maintaining security-focused platforms using languages like C++ and Rust, while integrating modern development processes like CI/CD and DevOps. The engineer will also collaborate with SecOps teams to implement advanced monitoring and detection solutions and architect secure, scalable cloud environments.
The engineer will work with clients new to agile practices like TDD and paired programming, teaching them the value of these methods while delivering functionality through developing and testing working software weekly. They will pair with customer developers to teach best practices for delivering user stories that meet business, technical, and user needs.
The role involves designing modular and scalable real-time data pipelines to manage large datasets and implementing custom Machine Learning algorithms within a low-latency environment. Responsibilities also include working on microservice architectures that handle the training, inference, and monitoring of thousands of ML models concurrently.
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The Solutions Architect will serve as the primary technical point of contact for strategic accounts, driving deep product adoption, ensuring swift issue resolution, and acting as the customer's trusted advisor within Solo.io. This involves consulting on best practices, developing training, and advocating for customer needs to internal product and engineering teams.
The Staff Software Engineer will define and drive the technical strategy for the Connected Asset Maintenance (CAM) predictive maintenance platform, leading the design and implementation of new predictive models and data products in partnership with ML/data teams. This role involves owning and evolving large-scale, distributed systems processing high-volume data while collaborating across the stack to deliver end-to-end features and mentoring other engineers.
The role involves building and maintaining a robust platform for frontend development, focusing on desktop screen capturing and analytics systems. The engineer will work closely with product and engineering teams to enhance compliance and QA processes.
The Solutions Engineer will engage with customers to identify their challenges and propose solutions that meet their needs. They will also demonstrate the business value of BeyondTrust solutions and drive customer adoption through technical relationships.
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