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 Solutions Architect will lead the functional configuration of Workday Financial modules and gather business requirements from finance stakeholders. They are responsible for designing end-to-end financial processes, supporting testing, and ensuring system compliance with reporting standards.
Develop new features with a focus on optimizing performance and efficiency for the telemetry data platform. Collaborate with the team to implement scalable solutions and improve the reliability of services.
The CRM Email Developer builds, tests, and maintains responsive HTML email templates within the company's CRM platform. They are responsible for translating design files into technically precise code and conducting thorough cross-client rendering QA.
The Sales Engineer will support the pre-sales and post-sales cycle by identifying technical requirements and conducting product demonstrations. They will also act as a technical advisor to customers and collaborate with engineering teams to address technical questions and product updates.
The Lead Software Architect manages complex medical imaging products by driving technical vision, architectural design, and cross-functional project efforts. They provide strategic leadership, define system requirements, and ensure compliance with regulatory standards while fostering innovation and continuous improvement.
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Design and implement scalable data integration solutions using IBM ACE and ESQL to streamline Medicare and Medicaid claims processing. Collaborate with stakeholders to optimize message flows, ensure regulatory compliance, and resolve production incidents through root cause analysis.
Design and build robust LLMOps infrastructure to support the development, evaluation, and deployment of production language models. Manage the full model lifecycle, including dataset pipelines, distributed training, model serving, and production observability.
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.
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.
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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.
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.
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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.
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