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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The Senior Product Support Engineer will provide second-line technical consultation to debug complex security and network issues while partnering with engineering teams to resolve customer problems. They are also responsible for mentoring junior engineers, developing training programs, and providing strategic input on product improvements based on customer use cases.
Collect and analyze business requirements to configure and implement Oracle E-Business Suite solutions. Provide ongoing functional support, perform system testing, and collaborate with cross-functional teams to improve business efficiency.
The Solutions Architect designs and governs secure, scalable end-to-end technical architectures to support digital transformation and diagnostic ecosystem goals. They are responsible for orchestrating high-volume transactional databases and engineering integrations across hybrid-cloud environments.
The developer will modernize legacy web applications using React and Node.js within a microservices architecture. They will also be responsible for the full software development lifecycle, including coding, testing, and maintaining modular backend APIs.
Design and build security automation and orchestration workflows to optimize security operations and incident response. Collaborate with clients to scope automation requirements and translate them into reliable, scalable technical solutions.
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Develop high-fidelity ICS-focused threat detections and asset identification analytics based on cyber threat intelligence. Mentor junior engineers and collaborate with cross-functional teams to resolve detection issues and close protocol coverage gaps.
The Coder II is responsible for reviewing medical documentation to assign accurate ICD and CPT codes while ensuring compliance with coding guidelines. They must also resolve coding edits and denials, formulate physician queries for missing information, and maintain productivity standards.
You will lead the 3D discipline by designing characters, environments, and objects for brand campaigns and product moments while integrating AI workflows. You are responsible for maintaining the render quality bar and managing the 3D pipeline from briefing to final delivery.
The IT Support Engineer will manage day-to-day IT systems, including Tier 1 and Tier 2 ticket resolution and global onboarding processes. They will also be responsible for administering identity providers and documenting best practices within the IT Knowledge Base.
Design and develop immersive, scenario-driven cybersecurity training content and lab environments. Lead and mentor team members while ensuring technical accuracy and high-quality learning experiences.
The Senior AI Engineer will architect and direct AI coding agents to build scalable software solutions while defining agentic development practices. They are responsible for owning significant product domains, ensuring high-quality delivery, and mentoring engineering teams.
The Account Executive will own the full sales cycle for the new AI FP&A suite, targeting CFOs and other C-suite stakeholders. They will also partner with leadership to shape go-to-market strategies and establish the product's market presence.
The Senior Engineer will manage the standards development process for various electrical codes and serve as a technical expert for internal and external stakeholders. They will also provide mentorship to staff, lead multidisciplinary projects, and support training and research initiatives.
The Forward Deployed Architect leads strategic customers through business and technical transformations by designing workflows across the Atlassian platform. They are responsible for orchestrating execution across internal teams and external stakeholders while driving AI adoption and platform expansion.
The AI/ML Architect SME will define and maintain a scalable, modular AI/ML architecture while implementing end-to-end pipelines for data ingestion, model training, and deployment. They will also integrate MLOps best practices and leverage Infrastructure-as-Code to manage cloud-based AI/ML infrastructure in compliance with federal standards.
The AI Enablement Engineer will act as a technical partner to employees, helping them navigate AI tools and best practices while removing process barriers. They will also translate recurring user needs into roadmap improvements and build reusable infrastructure to enhance internal AI development.
You will build the technical foundation for a new vertical by developing reusable infrastructure and establishing technical patterns. You will also lead end-to-end customer engagements, translating complex requirements into durable, production-grade systems.
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The AI Engineer will own end-to-end customer engagements, managing technical delivery from scoping through implementation and post-launch support. They will bridge customer needs with platform capabilities by developing custom integrations and surfacing actionable product feedback.
You will lead the end-to-end design and deployment of technical integrations, including EDI transactions and API data exchanges. Additionally, you will serve as a technical SME for customer IT teams, providing support and troubleshooting for complex healthcare data workflows.
You will be responsible for building and deploying security tooling across application and infrastructure layers while leading end-to-end incident response. Additionally, you will partner with engineering teams to conduct secure design reviews and establish repeatable security practices.
You will own and evolve cross-cutting platform systems such as approval workflows, permissions, and authentication while ensuring scalability and data integrity. You will also collaborate with cross-functional teams to decompose complex projects and provide elegant technical solutions.
You will build and maintain performant, scalable features across the full stack while ensuring high code quality through rigorous testing. You will also collaborate with engineering, UX, and product teams to deliver user-focused solutions and contribute to architectural design decisions.
The role involves providing technical support for the platform, troubleshooting complex issues, and managing customer resolutions. Additionally, the engineer will conduct customer training, automate internal tasks, and advocate for customer needs through data-driven feedback.
The Sr. Solutions Engineer will serve as a trusted advisor to customers, architecting secure identity and access management solutions. They will lead technical workshops, design integration strategies, and troubleshoot complex workflows to ensure successful platform adoption.
You will embed with enterprise customers to lead the adoption of Claude Code and build agentic applications that modernize their business operations. This involves conducting workshops, defining technical plans, and collaborating directly with Anthropic to deliver production-ready AI solutions.
The Forward Deployed Engineer will embed with enterprise customers to lead technical implementations, workshops, and the adoption of AI-native workflows using Claude Code. They are responsible for building agentic applications, modernizing legacy systems, and codifying deployment patterns to drive customer success.
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Develop and maintain the client application across multiple platforms including iOS, Android, Windows, and Linux. Manage features end-to-end from technical design and implementation to release and performance monitoring.
The developer will design and implement automated test frameworks and contribute directly to the product codebase using AI-assisted development practices. They will work within an agile SCRUM team to improve code quality, reduce defect rates, and manage exploratory testing for enterprise software solutions.
The developer will contribute to the adoption of AI-first software development practices while building and maintaining scalable, cloud-native SaaS capabilities. They will work across the full development lifecycle, including design, implementation, automated testing, and troubleshooting using C#, Python, and Azure/AWS technologies.
Lead the end-to-end commercialization and growth strategy for the AI and emerging technology portfolio. Manage a team of AI Advisors and Architects while driving pipeline creation, strategic deal advancement, and cross-functional alignment.
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