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 Data Scientist II will build and deploy machine learning models and NLP pipelines to support clinical risk intelligence and AI-enabled products. They will collaborate with cross-functional teams to translate research into production-ready, HIPAA-compliant solutions.
The ML Ops Engineer will design and maintain scalable infrastructure for ML models, including automated pipelines, model serving, and monitoring. They will collaborate with data scientists to ensure models are deployable, HIPAA-compliant, and continuously improved.
Lead a team of engineers to deliver core virtual machine and container platform capabilities for Azure infrastructure. Drive engineering execution, technical strategy, and people development while collaborating with stakeholders to ensure secure and scalable cloud innovations.
Design, develop, and maintain scalable full-stack applications using TypeScript, React, and Node.js within a serverless AWS environment. Collaborate with cross-functional teams to deliver high-quality, secure, and performant software solutions following Agile methodologies.
Lead the mechanical design and integration of complete satellite systems from concept through launch, ensuring all performance and reliability requirements are met. Manage design documentation, troubleshoot anomalies, and collaborate with production teams to ensure efficient design transfer.
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You will design and develop foundational components for an Agentic AI platform while collaborating with cross-functional teams to build scalable infrastructure. Additionally, you will provide production support and troubleshooting to ensure platform stability and performance.
The Enterprise Solutions Engineer will own the full technical sales cycle, including discovery, architecture design, and proof-of-concept for enterprise accounts. They will also collaborate with sales leadership to drive growth and build reusable technical assets to support a scalable sales model.
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You will provide professional and disciplinary leadership to your team while managing resources, reporting, and the economic success of your unit. Additionally, you will drive growth through recruitment and staff development while actively participating in the realization of innovative digital projects.
You will build and maintain horizontally-scalable, event-driven backend services to power an AI agent platform. This includes driving features end-to-end from architecture to deployment while ensuring system reliability and performance.
You will design, develop, and deliver scalable software solutions to support global finance and tax operations. You will also collaborate with cross-functional business stakeholders to identify requirements and ensure end-to-end project success.
The Support Solutions Engineer will monitor and resolve customer requests while automating support processes and developing documentation. They will also partner with engineering teams to improve product usability and advocate for customer needs.
Design, develop, and maintain high-performance technical solutions across GitHub's platform while providing technical leadership and mentorship to engineering teams. You will own system health, drive architectural roadmaps, and collaborate with cross-functional stakeholders to ensure operational excellence and security.
Design, develop, and maintain high-performance, scalable technical solutions across GitHub's platform and enterprise services. Provide technical leadership and mentorship to engineering teams while ensuring operational excellence and system reliability.
Lead the design and evolution of Azure Storage control plane services to support hyperscale AI workloads and autonomous agents. Drive innovations in distributed systems and intelligent automation to ensure high performance, reliability, and operational excellence at a global scale.
Record an asynchronous video walkthrough demonstrating your daily workflow within Salesforce Marketing Cloud. Narrate your decision-making process and highlight the specific tools and features used during campaign execution.
Record a screen-capture video demonstrating a standard daily or weekly Salesforce Sales Cloud workflow. Narrate your thought process, explain specific actions, and highlight any friction points or custom workarounds used.
You will perform an asynchronous screen recording while navigating a Salesforce Marketing Cloud workflow. During the recording, you will narrate your decision-making process and identify any usability challenges or workarounds.
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Lead the design and operationalization of generative AI and machine learning solutions within clinical and healthcare environments. Act as a senior technical advisor to bridge the gap between clinical stakeholders and engineering teams to deliver secure, measurable AI outcomes.
The Lead Software Engineer will provide technical leadership and mentorship to the development team while driving the architecture and implementation of global platforms. They are responsible for managing developers, ensuring on-time delivery of features, and fostering an Agile and DevOps culture.
The Solutions Engineer acts as a technical expert bridging product, engineering, and sales to design and implement scalable customer solutions. Responsibilities include leading technical discovery, architecting integrations, and supporting the sales cycle through demos and technical enablement.
The Senior Software Engineer will design, develop, and maintain enterprise-grade SaaS applications using C# and .NET technologies. They will also mentor junior developers, conduct code reviews, and collaborate with cross-functional teams in an Agile environment.
The Senior Director of Credit Risk Analytics will lead credit underwriting, pricing, and verification strategies to drive profitable growth and manage credit performance. This role involves leveraging ML/AI models and collaborating across departments to ensure credit losses remain within the company's defined risk appetite.
The AI Tutor will curate and annotate multilingual audio data to improve Grok's speech recognition and voice interaction capabilities. Additionally, the role involves translating and localizing text strings into Sorani Kurdish to ensure cultural and linguistic accuracy.
Lead the design and operationalization of generative AI and machine learning solutions within healthcare and life sciences environments. Act as a senior technical advisor to bridge the gap between clinical stakeholders and engineering teams to deliver secure, measurable AI outcomes.
The AI Tutor will curate and annotate high-quality multilingual audio data to train and refine Grok's voice interactions and speech recognition capabilities. Responsibilities include translating and localizing content into Slovak while collaborating with technical staff to improve AI speech processing and annotation workflows.
Lead the design and delivery of advanced AI and machine learning solutions for healthcare and life sciences clients using Azure and Databricks. Act as a senior advisor to stakeholders to operationalize data science models while ensuring compliance, reproducibility, and clinical impact.
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You will own the end-to-end design and delivery of features for the Duo Agent Platform, including onboarding and autonomous repository flows. You will also collaborate with cross-functional teams to build agentic experiences and contribute to the team's technical quality through code and design reviews.
The Staff Backend Engineer will lead the technical direction for the Duo Agent Platform Repository Flows team, focusing on onboarding and autonomous agent design. They will mentor team members, drive complex cross-team initiatives, and ensure high-quality engineering standards for AI-powered automation.
The Mechanical Design Engineer will lead the structural architecture, design, and analysis of satellite subsystems and payload equipment. They are responsible for managing mechanical interfaces, creating manufacturing documentation, and supporting developmental and qualification testing.
You will architect and build a toolchain that integrates traditional automation with AI-native agentic workflows to drive IT and security operations. Additionally, you will mentor teams and standardize cultural practices to scale these automation platforms across the entire organization.
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