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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Responsible for managing the full database lifecycle across On-Premise and Azure environments. The role involves leading cloud migration processes and providing technical support to the Commercial and Distribution business areas.
The role focuses on mapping and redesigning end-to-end property management workflows from field capture to final reporting. You will create detailed logic, branches, and annotated specs for engineering to ensure seamless product behavior and offline functionality.
The Program Manager will translate customer feedback into actionable product requirements and oversee the testing of mobile and web workflows. They are responsible for ensuring release readiness, documenting edge cases, and coordinating release notes with Marketing and Support.
Own the UX and interaction quality for the AI platform, designing production-ready patterns for agentic experiences. Collaborate with product and engineering teams to bridge the gap between design and implementation while validating designs directly with customers.
Manage AI-powered client engagements from onboarding to reporting while serving as the primary point of contact. Coordinate timelines and cross-functional teams using project management tools to optimize AI visibility campaigns and operational workflows.
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The role involves designing, implementing, and maintaining security solutions to protect client digital assets across multi-cloud environments. Key duties include managing threat detection, identity access, and automating compliance through DevSecOps and AI-driven tooling.
Conduct in-depth research into Generative AI and Deep Learning to identify gaps and opportunities in existing technologies. Translate research findings into actionable recommendations and practical solutions in collaboration with ML engineers.
Drive the positioning and messaging for Guidewire's AI Assistants and Agentic Framework to transform systems of record into systems of intelligence. Create high-credibility technical assets and lead competitive teardowns to enable sales and customer success teams.
Administer and optimize Power BI dashboards and data models to improve operational visibility and decision-making for complex construction projects. Collaborate with IT and project teams to govern data structures, maintain process manuals, and train users on reporting tools.
Drive innovation in the Financial Planning landscape by defining architectural principles and leading the build and validation of Anaplan models. Collaborate with Product Owners and SMEs to manage technology roadmaps and provide operational support within a DevOps model.
The Sales Engineer acts as the technical face of NG-SIEM, managing technical relationships throughout the sales cycle and serving as a trusted advisor to prospective customers. They collaborate with cross-functional teams to define go-to-market strategies and translate customer needs into tangible platform value.
Collaborate with sales teams to design technical security solutions and conduct product demonstrations for prospects. Act as the technical bridge between customers and internal product/engineering teams to influence the product roadmap.
Design, build, and maintain a multi-tenant SaaS hosting platform on AWS using Terraform and Puppet. Manage distributed service discovery, observability stacks, and caching strategies to support hundreds of Moodle LMS instances.
Establish and lead the Public Sector vertical across North America by developing executive relationships with government healthcare organizations. Drive revenue growth through consultative sales of advisory services, analytics, and enterprise solutions.
The role focuses on maintaining and enhancing Power BI dashboards and providing first-line Salesforce and Vivun support for the Sales Engineering organization. It also involves streamlining reporting workflows using AI tools and collaborating with SalesOps to ensure data integrity.
Design and scale production-ready Multi-Agent Systems and complex AI workflows using Google's Agent Development Kit. Integrate AI agents with enterprise datastores and APIs to move prototypes into mission-critical business systems.
The role involves leading the hands-on delivery of Okta and Auth0 solutions while providing technical governance and pre-sales support. Additionally, the architect is responsible for managing and mentoring the internal Okta delivery team to enhance technical capability.
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Lead the functional and process integration of SAP Business One across the global finance systems landscape. Manage a team of developers and engineers to translate business requirements into scalable technical designs and documented support procedures.
Lead the functional and process integration of SAP Business One across the global finance systems landscape. Manage a small team of developers and engineers to translate business requirements into scalable technical designs and documented support procedures.
Design and implement high-performance Elixir/Phoenix-based systems and manage the declarative infrastructure using Kubernetes and Terraform. You will operate the managed cloud platform, focusing on cluster lifecycles, GitOps workflows, and system reliability.
Design, develop, and maintain scalable backend applications and microservices using Java, Spring Boot, and Quarkus. Implement event-driven solutions on AWS and enhance observability practices within an Agile Scrum environment.
The role focuses on investigating customer-reported issues, performing root-cause analysis, and developing production-ready code fixes for large-scale enterprise applications. It involves using AI tools for log analysis and defect diagnosis while providing status updates to customers and management.
Own the end-to-end performance of AI customer experiences by designing conversational workflows and managing the enterprise knowledge base. Analyze performance metrics like CSAT and containment to continuously optimize AI interactions and business outcomes.
Design, build, and maintain MuleSoft integrations across API-led layers while leading integration architecture discussions. Mentor junior developers and coach client teams to adopt sound API-led design patterns within a SAFe Agile environment.
The Enterprise Technical Solutions Engineer collaborates with the sales team to develop technical solution proposals and provides expert guidance on Smartsheet integrations and architecture. They also build proof of concepts, respond to complex technical requests, and act as a feedback loop between enterprise customers and the product engineering team.
Develop, validate, and maintain statistical programming deliverables including SDTM, ADaM datasets, and TLFs for clinical studies and regulatory submissions. Collaborate with cross-functional teams to ensure GxP-compliant delivery of analysis specifications and reporting needs.
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The role involves delivering complex AI and data engineering projects on the Databricks platform while serving as a technical subject matter expert. Responsibilities include creating thought leadership content, building technical demonstrations, and providing architecture advisory for prospective clients.
Responsible for modeling and documenting data assets, defining critical data structures, and implementing reporting and analytics. The role involves translating business requirements into logical and physical data models and collaborating with architects to manage data integration and security.
The role involves designing and evolving the H1 Knowledge Graph and Search platform, owning the full lifecycle of platform features from schema modeling to implementation. You will lead technical direction, optimize data pipelines, and mentor engineers to improve system performance and scalability.
Build and maintain scalable data pipelines and enrichment workflows to transform raw client data into actionable insights. Collaborate with multidisciplinary teams to integrate enriched data into broader systems while ensuring high code quality and performance.
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