Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Develop and optimize process control strategies and documentation for oil and gas production facilities. Support facility startups, commissioning, and process safety initiatives while collaborating with instrumentation teams and suppliers.
Design and maintain automated test suites for web applications and APIs using tools like Cypress or Playwright. Convert manual testing processes into efficient automated scripts and integrate them into CI/CD pipelines.
Design and maintain automated test suites for web applications and APIs using Cypress or Playwright. Convert manual testing processes into efficient automated scripts and integrate them into CI/CD pipelines.
Develop and implement service processes, including onboarding and transition for managed services customers. Continuously optimize service performance and implement automation for service reviews and requests.
Lead the architecture, design, and governance of Oracle Fusion Cloud Finance and SCM solutions across the enterprise. Define scalable ERP frameworks and oversee integrations using OIC and various API patterns.
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Consult with customers to map their business requirements into Dynamics AX or D365 ERP software solutions. Lead national and international projects to ensure successful implementation and support for clients.
Operate and further develop hybrid Microsoft platforms focusing on Entra ID, Active Directory, and Intune. Manage identities, endpoint compliance, and provide 2nd/3rd level support for Windows devices in customer environments.
Develop and maintain custom features for an online education platform and its content management system. Collaborate with UX and Product teams to build responsive web experiences and manage the development backlog.
The role involves designing and implementing scalable Anaplan models to transform spreadsheets into efficient connected planning solutions for FP&A. The architect will serve as a technical SME, managing model configuration, data integrations, and providing global production support.
The Analytics Manager will analyze complex datasets to uncover trends and build robust models to guide strategic business decisions. They are responsible for synthesizing findings into executive-level recommendations and scaling automated analytics workflows across the organization.
Lead client-facing project workstreams focusing on material client interaction and intensive data analysis. Create compelling client-ready presentations and mentor Analysts and Coachees.
Lead the installation, optimization, and maintenance of High NA EUV Track equipment to ensure flawless process integration. Develop advanced photolithography recipes and design preventative maintenance programs to increase equipment reliability and uptime.
Design and deliver scalable web applications and AI-native platforms while evolving the architecture from a monolith to modular microservices. Collaborate with cross-functional teams to implement robust APIs and mentor other engineers on clean code and system design.
Lead a high-performing data engineering team to build scalable, event-driven data infrastructure and pipelines. Design data models and architectures that support analytics, operational systems, and AI-enabled applications.
Lead the DesignOps and UI Systems organization to build a unified design system and pattern library across multiple product lines. Define the design-to-development workflow and integrate Applied AI and Generative UI patterns to create adaptive user experiences.
Lead and develop a high-performing product engineering team while remaining hands-on in the codebase. Design and build scalable event-driven microservices and influence broader architectural and AI strategies.
Design and lead global quality automation strategies to improve platform stability and speed. Act as a player-coach to embed shift-left quality practices and AI-native testing across engineering teams.
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Lead the transformation of the release process from stage-gated to continuous flow using Lean and DevOps principles. Design the system of work for value flow and measure performance using DORA and flow metrics.
Design and build scalable automated quality systems and frameworks across APIs, services, and user interfaces. Partner with engineering teams to embed quality practices early in the software lifecycle through shift-left testing and CI/CD integration.
Lead Level 2 application support and design automated systems to improve production operations and incident management. Collaborate with engineering and product teams to reduce failure modes and implement AI-enabled support capabilities.
Lead the design and implementation of AI-augmented enterprise applications and scalable SaaS systems. Drive technical initiatives to integrate AI into operational workflows while mentoring engineers and improving development effectiveness.
Manage AI-related projects from initiation to completion, coordinating between internal teams and overseas partners. Responsibilities include defining actionable plans, monitoring progress, and mitigating risks to ensure high-quality deliverables.
Lead the technical development and delivery of high-quality native iOS and tvOS applications for Paramount+. Provide technical leadership, mentorship, and cross-functional collaboration to optimize the personalized streaming experience.
Optimize every layer of the AI system, including model behavior, retrieval, and ranking, to ensure clinical accuracy. Analyze system failures and patterns to refine outputs across various medical specialties and clinical contexts.
The role involves collecting, cleaning, and organizing data to provide actionable business insights. Responsibilities include creating dashboards, analyzing trends, and collaborating with cross-functional teams to support decision-making.
Own clinical product areas end-to-end by translating clinician needs into functional AI features. Architect and ship fullstack solutions using LLMs while ensuring clinical safety and accuracy.
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Own the end-to-end visual and functional experience of the Vera app, including product, brand, and interaction details. Design and build features directly in production to ensure high standards and fast iteration for clinicians.
The role involves accurately inputting and maintaining data while labeling and categorizing datasets to train AI and machine learning models. The specialist is also responsible for reviewing data for errors and meeting productivity targets in a remote environment.
Collaborate with clinicians and founders to translate user needs into clean, functional product solutions. Own product areas end-to-end, from initial user conversations to production deployment and iteration.
Build intuitive full-stack workflows for document manipulation and use LLMs and OCR to extract information from unstructured data. Own high-impact features from core functionality to internal tooling and performance improvements.
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