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 engineer will execute complex migrations of Azure Databricks environments between Azure tenants while ensuring minimal downtime and risk. Responsibilities include rebuilding workspaces, configuring security and identity integrations, and implementing infrastructure-as-code for automation.
Deploy and operationalize agentic AI workflows and intelligent automations within client ServiceNow environments. Collaborate with cross-functional teams to translate business requirements into scalable, production-ready AI solutions.
The role involves developing and maintaining .NET Core APIs and frontend applications using React and Vue. You will also participate in Agile ceremonies, manage project plans, and collaborate with QA to test and deploy bug fixes.
You will turn complex product, customer, and risk data into clear insights and durable measurement systems to support business decisions. Additionally, you will leverage AI tools and agent workflows to improve the speed and quality of analytical work while mentoring junior team members.
The Network Engineer III is responsible for the architectural design, development, and implementation of complex network infrastructure using telecommunication industry standards. They also provide technical leadership, mentor junior staff, and manage network performance and operational escalations.
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The QA Lead will own end-to-end quality strategies for customer-facing contact center technologies, including IVRs and conversational AI. They will lead and mentor the QA team while remaining hands-on in testing scenarios, defect triage, and release readiness.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and quality. Apply detailed annotation guidelines to ensure consistency and provide evidence-based rationale for evaluation decisions.
The Lead Software Engineer will set technical direction for the data platform team, owning architecture and design decisions for high-throughput ingest systems. They will also mentor engineers, manage project delivery, and ensure the operational health of critical telemetry services.
You will serve as a technical advisor helping enterprise customers design, deploy, and operationalize generative AI and Microsoft 365 Copilot solutions. The role involves driving adoption through change-management strategies, technical workshops, and aligning AI use cases with measurable business outcomes.
The role involves administering and governing enterprise AI platforms and cloud infrastructure within Microsoft Azure to ensure safe and transparent deployments. Key tasks include managing model integrations, implementing security guardrails, and maintaining automated CI/CD pipelines.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, reasoning, and cultural appropriateness. Document evaluation decisions clearly while maintaining high productivity and quality standards.
You will lead the development and lifecycle of machine learning systems for the Personalization Engine, ensuring scalability and model effectiveness. Additionally, you will manage and mentor a team of machine learning engineers while collaborating with product and design teams to solve complex patient journey challenges.
You will design the full architecture of the core platform and trading engine while making key technical decisions on the stack and infrastructure. Additionally, you will build the initial production-ready implementation and define engineering standards for the growing team.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, reasoning, and cultural appropriateness. Document evaluation decisions clearly while meeting established productivity and quality standards.
Manage Linux environments and containerized workloads while designing and optimizing CI/CD pipelines. Collaborate with cross-functional teams to implement observability solutions and resolve complex production incidents.
The QA Engineer will execute manual and automated test cases to ensure the quality, reliability, and safety of healthcare SaaS products. They will collaborate with development and product teams to manage test coverage, document defects, and integrate testing into CI/CD pipelines.
The AI Security Specialist will evaluate and implement AI security tooling while supporting investigations into AI-related incidents and data exposure. They will also partner with engineering and security teams to ensure secure AI development and maintain compliance with industry frameworks.
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The Data Scientist will serve as an embedded analytics partner to product teams, designing experiments and building predictive models to drive business outcomes. They will also produce original research and cross-network benchmarks while converting recurring analyses into documented dashboards and pipelines.
The Staff Cyber Security Engineer will conduct end-to-end security and threat analysis for enterprise technology deployments to ensure alignment with security strategies. They will serve as a subject matter expert, collaborating with business stakeholders to define security requirements and mitigation strategies.
The developer will be responsible for building and evolving APIs and services using C# and .NET, as well as developing interfaces with React and TypeScript. They will also participate in code reviews, maintain integrations, and collaborate with cross-functional teams including Product, Architecture, and QA.
The Network Operations Engineer will monitor, troubleshoot, and resolve network and security incidents within customer environments. They are responsible for documenting issues, escalating complex problems to senior engineers, and maintaining professional communication with customers and team members.
You will lead end-to-end Microsoft Dynamics 365 Business Central implementations by gathering requirements, configuring systems, and optimizing operational processes for clients. Additionally, you will provide training, mentorship, and post-go-live support to ensure successful long-term system adoption.
You will be responsible for the design, operation, and continuous development of high-availability infrastructure and application landscapes. Additionally, you will manage CI/CD pipelines, ensure system stability through monitoring, and provide 3rd-level support for complex technical issues.
The Sales Administrator provides operational support by coordinating quotations, proposals, and CRM activities while managing customer and vendor communications. They are responsible for maintaining accurate sales records, preparing reports, and streamlining administrative workflows to assist the sales team.
The consultant will configure and support SAP S/4HANA Public Cloud MM processes, including procurement and inventory management. They will also lead requirements workshops, perform system configuration, and support the full implementation lifecycle from design to post-go-live stabilization.
Lead the technical discovery and architecture of high-performance storage platforms for AI training, inference, and large-scale data pipelines. Collaborate with cross-functional teams to design, validate, and deploy integrated end-to-end storage solutions that meet customer performance and scalability requirements.
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Architect and develop autonomous agentic workflows that enable LLMs to plan, use tools, and perform self-correction. Implement robust state management, error handling, and evaluation frameworks to ensure efficient and safe agent performance.
The Quality Assurance Analyst ensures software quality through manual and automated testing, including the use of AI-powered tools to improve efficiency and defect detection. They collaborate with cross-functional teams throughout the SDLC to validate requirements, manage defects, and support continuous quality improvement.
The Structural-Bridge Engineer will contribute to the design and development of structural project plans and specifications from the preliminary phase through construction. Responsibilities include performing engineering calculations, writing technical reports, and collaborating with team members to meet project deadlines.
The .NET Application Architect will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. This role covers the full engineering lifecycle, including requirements analysis, architectural design, hands-on implementation, and post-release support.
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