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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Provide professional sign language interpretation services for both on-site and remote assignments. Manage scheduling and appointment details through the designated mobile application.
You will own features end-to-end, from scoping and architecture to shipping and iterating based on customer feedback. You will also build and maintain core product surfaces and internal tooling to automate complex tax compliance workflows.
Identify and prospect staffing and recruitment agencies to build a sales pipeline through outbound methods like cold calling and LinkedIn. Conduct product demonstrations and manage the sales process from initial outreach to closing new customer accounts.
You will embed within customer environments to deploy, customize, and troubleshoot the platform while acting as a trusted technical advisor to enterprise stakeholders. Additionally, you will support the sales cycle, enable partners, and provide field insights to influence product development.
You will serve as the primary point of contact for customers, resolving complex technical issues and collaborating with engineering teams on software updates. Additionally, you will act as a customer advocate, providing feedback to internal teams to improve product development and service delivery.
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The Senior QA Engineer will define comprehensive test strategies and build scalable automation frameworks for web, mobile, and API applications. They will also perform manual exploratory testing and collaborate with engineering teams to ensure high standards of performance and reliability.
The Senior Security Operations Engineer will assess and improve security across applications, cloud environments, and operational tooling. They are responsible for establishing security standards, implementing shared controls, and managing incident readiness.
The Principal Data Analyst will define the strategic roadmap for the Data Foundation and serve as the enterprise data subject matter expert. They will lead complex analytical initiatives to inform product strategy while ensuring data quality, governance, and integrity across the platform.
The successful candidate will manage CI/CD pipelines, secure cloud infrastructure, and implement access control policies across development and production environments. They will also collaborate with engineering teams to optimize deployment workflows and participate in incident response planning.
You will write clean, well-tested code for patient-facing platforms and internal clinical tools while collaborating with senior engineers on feature development. Additionally, you will participate in code reviews, troubleshoot platform issues, and contribute to automation workflows.
You will design, build, and maintain scalable applications and APIs to support patient-facing platforms and internal clinical operations. Additionally, you will lead architectural decisions to ensure platform reliability, security, and compliance with healthcare data standards.
You will serve as the technical backbone for the Business Systems team, owning end-to-end Salesforce architecture and driving hands-on development across GTM and compliance functions. You will also lead security hardening efforts, manage technical backlogs, and mentor junior engineers to ensure scalable, high-quality platform solutions.
Build and maintain high-performance, cross-platform mobile applications using Flutter and Dart. Collaborate with backend engineers to integrate APIs and optimize performance across iOS and Android platforms.
You will design and build scalable backend services, data pipelines, and infrastructure to support vault operations across multiple blockchain networks. You will own the end-to-end cloud architecture and ensure system reliability, observability, and performance for high-stakes financial data.
The role involves using SQL and Power BI to perform data analytics, create visualizations, and manage datasets related to Medicaid and healthcare programs. The analyst will also track program data, coordinate with state staff, and produce high-quality reports to monitor program activity and performance.
The developer will create and maintain custom HTML email templates for Mailchimp and Constant Contact while ensuring cross-client compatibility. Additionally, they will manage content updates and develop custom PHP templates for the organization's Wordpress website.
The engineer will guide cross-functional teams in developing AI prototypes and MVP solutions for medical research and public health use cases. They will also provide knowledge sessions and assist with data engineering tasks to support federal agency projects.
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You will build, scale, and maintain integration pipelines that connect M7's platform to healthcare systems' HRIS and time-and-attendance software. Additionally, you will own production reliability by monitoring data flows, diagnosing discrepancies, and implementing resilient, idempotent solutions.
The Senior Quality Engineer will partner with product teams to identify risks and shape quality strategies throughout the development lifecycle. They will also build and maintain automated test coverage while driving systemic quality improvements across the organization.
Develop and optimize real-time computer vision, sensor fusion, and multi-object tracking software for airborne mission systems. Manage the end-to-end dataset pipeline and ensure high-performance inference on embedded hardware.
Design and build dense, legible operator interfaces for airborne mission systems that display live data and map assets. Connect interfaces to backend telemetry via WebSockets and support integration testing against live systems.
Develop and maintain software for airborne mission systems running on embedded Linux hardware. Responsibilities include integrating sensors and payloads, implementing control software, and managing real-time data handling.
Design and build synthetic data generation pipelines to replicate high-fidelity, statistically representative datasets for AI testing. Collaborate with cross-functional teams to validate data fidelity and document privacy risk assessments for institutional stakeholders.
The GTM Engineer will build and maintain technical infrastructure for lead enrichment, scoring, and signal pipelines using tools like Clay, Salesforce, and Marketo. They will collaborate with cross-functional teams to translate GTM strategies into automated workflows that optimize pipeline delivery and account targeting.
The Sr. Application Security Engineer will own the security posture of the organization and partner with engineering teams to deliver platform-wide security improvements. Responsibilities include managing vulnerability programs, conducting security audits, and investigating security incidents.
You will build and maintain the frontend of a Chrome extension using React and TypeScript, ensuring high performance and accessibility. Additionally, you will collaborate on UI/UX design and contribute to backend data modeling and API development to support AI-generated scaffolds.
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You will design, implement, and maintain secure, programmable cloud networking solutions using Open vSwitch, OVN, and Kubernetes. Additionally, you will lead architecture reviews, mentor engineering teams, and ensure the reliability and performance of global GPU cloud infrastructure.
The Senior Data Analyst will lead the design, development, and modernization of enterprise analytics solutions using Power BI and Microsoft Fabric. They will collaborate with stakeholders to translate business needs into scalable semantic models and dashboards while ensuring data governance and quality standards.
Develop polished, responsive, and accessible elearning modules from detailed storyboards within an established production environment. Collaborate with instructional designers, visual designers, and project managers to ensure high-quality learning experiences that meet client requirements.
The AI/ML Specialist will design, develop, and deploy AI-driven solutions and process automations to support educational and operational business environments. They will also collaborate with cross-functional teams to ensure AI solutions align with governance frameworks, security requirements, and responsible AI principles.
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