2,654 Computer Science jobs available for remote work from home. Apply for positions such as Data & Analytics Engineer, Senior Cloud Security Engineer, Senior Solutions Architect - Germany, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data & Analytics Engineer will build and maintain ETL/ELT pipelines and BI dashboards to support business initiatives. They will collaborate with cross-functional teams to define data standards and enhance machine learning model scalability.
The Senior Cloud Security Engineer will design and implement security controls across cloud, network, application, and AI systems to protect sensitive behavioral health data. They will own the full security lifecycle, including detection, response, vulnerability management, and the development of security guardrails as code.
You will collaborate with customers to design customized Redis-powered solutions and drive technical evaluations like POCs and pilots. Additionally, you will work closely with the sales team to identify new opportunities and provide technical feedback to product management.
You will own the end-to-end technical pre-sales process for government institutions by scoping use cases, designing demos, and leading architecture reviews. Additionally, you will collaborate cross-functionally with Sales, Product, and Engineering teams to drive market strategy and improve AI agent solutions.
The engineer will identify and resolve performance bottlenecks across APIs, databases, and background jobs to improve system scalability. They will also evolve legacy data models and strengthen asynchronous architecture while mentoring team members and driving technical plans to production.
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Design and implement scalable backend systems and APIs while collaborating with cross-functional teams on architecture. Lead code reviews, mentor junior engineers, and optimize the performance and security of applications.
You will contribute to a product-focused squad by developing core features and components for cloud engine and developer tools. You will also take ownership of the full lifecycle of features, from design and implementation to deployment, monitoring, and troubleshooting.
You will define and maintain the integration strategy and system architecture for a global SaaS product portfolio. This involves leading technical workshops, enforcing architectural standards, and overseeing the evolution of multi-tenant platform designs.
The Customer Delivery Manager acts as a primary link between clients and internal teams to manage project lifecycles, from pre-sales and onboarding to ongoing technical support. They are responsible for ensuring project delivery meets quality standards, budget constraints, and service level agreements while managing client roadmaps.
The Solutions Architect will collaborate with sales teams to design technically viable managed services and cloud solutions that meet client business requirements. They will lead consultative workshops, prepare detailed solution designs, and act as a brand ambassador for the company's product portfolio.
The Solutions Architect collaborates with sales teams to design technically viable managed services and cloud solutions that meet client business requirements. They lead consultative workshops, prepare detailed solution designs, and act as a brand ambassador for the company's product portfolio.
Translate and review patent-related content from English into Greek while ensuring the original meaning is accurately conveyed. Maintain high style adequacy and follow established translation processes and CAT tool usage instructions.
You will lead the end-to-end design and development of critical product initiatives while mentoring junior and mid-level developers. You will also collaborate with cross-functional teams to ensure high-quality, scalable, and maintainable code across the full stack.
The Software Engineer is responsible for designing and enhancing base Cority software while collaborating with Product Development to meet client needs. They will drive technical and architectural decisions, lead teams in producing high-quality code, and mentor junior developers.
The Senior Software Engineer will serve as a full-stack technical contributor, designing and delivering complex features across frontend, backend, and cloud services. They will also contribute to AI-enabled product capabilities, including RAG, vector search, and prompt orchestration.
The Senior Software Engineer is responsible for designing, building, and enhancing the software platform across product streams while collaborating with Product Owners. They will own features from requirements through to production delivery and mentor junior engineers.
You will design technical solutions that integrate data pipelines, models, and user experiences into coherent products. Additionally, you will lead engineering plans, conduct code reviews, and mentor junior engineers to ensure high-quality production systems.
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Define and drive the technical strategy for core Insider Risk engineering systems to proactively identify and mitigate enterprise risks. Lead the architecture and delivery of scalable, secure, and privacy-conscious platforms across complex data estates.
You will design and own the architecture of a real-time content platform while leading full-stack development across backend services and frontend interfaces. Additionally, you will mentor engineers and partner with product and design teams to translate complex technical requirements into scalable, high-performance solutions.
The role involves resolving escalated customer issues by debugging complex production problems and implementing durable fixes. Additionally, the engineer will collaborate on roadmap development, designing and implementing new features while adhering to agile practices.
The architect will lead the design, deployment, and integration of large-scale GPU infrastructure for Public Sector customers. They will serve as a primary technical advisor, managing cluster performance, debugging issues, and aligning product roadmaps with customer needs.
The Principal Infrastructure Engineer will design, build, and scale Sezzle's core platform while focusing on throughput, latency, and system resilience. This role involves hands-on operational ownership, including on-call rotations, incident response, and the implementation of infrastructure-as-code and AI-assisted tooling.
The Senior Solutions Architect will lead the full client lifecycle for marketing automation projects, from pre-sales and discovery to architecture and delivery. They will champion an AI-first approach to drive business outcomes while mentoring junior staff and representing the practice in client-facing settings.
Drive Microsoft Power Platform implementations through all project phases including discovery, design, build, test, and deployment. Collaborate with stakeholders to automate business processes and provide technical expertise for custom software solutions.
The Principal Enterprise Architect serves as the primary technical driver for delivering high-quality digital experience and marketing solutions for global enterprise customers. They are responsible for developing architectural plans, leading delivery teams, and aligning technical solutions with client business objectives.
Lead the design, development, and deployment of highly scalable APIs while defining the architectural roadmap for the flagship AI ordering product. Partner with cross-functional teams to deliver integrated solutions and mentor junior engineers to support team growth.
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You will design, implement, and maintain features for SpiceDB and the broader AuthZed open-source ecosystem. Additionally, you will take end-to-end ownership of your work, including production operations, troubleshooting, and mentoring team members.
The developer will translate business requirements into detailed technical designs and write clean, maintainable code for production environments. They are also responsible for conducting test reviews, participating in Agile ceremonies, and ensuring compliance with corporate standards.
The intern will assist in designing and testing scalable data pipelines for ingestion and transformation into enterprise data lakes. They will also collaborate with data scientists to clean, analyze, and automate machine learning model training and deployment.
You will contribute to the strategy, discovery, and delivery of digital products by collaborating with cross-functional teams to solve business and scientific problems. Responsibilities include analyzing stakeholder needs, managing product backlogs, and using data to drive product improvements.
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