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 conduct complex finite element analyses for dynamic structural applications and lead design and analysis efforts for vehicle structures. They will also manage test planning, develop digital twins, and lead proposals for new research and development opportunities.
Engage across end-to-end project phases to solve complex data challenges, including defining requirements and analyzing business processes. Collaborate with internal teams and software vendors to refine methodologies and integrate technology into client environments.
The Senior Director will serve as a testifying expert on high-profile construction disputes, providing objective analysis on design and construction defects. They will lead forensic evaluations, manage project teams, and present complex technical findings in legal settings such as depositions and trials.
The Customer Enablement Architect will drive the commercial success of Databricks' training portfolio by partnering with sales and customer success teams to accelerate adoption and ROI. They will lead the end-to-end lifecycle of customer training programs, from diagnosing skill gaps to designing and delivering tailored learning roadmaps.
You will lead the development of spacecraft GNC architecture, including guidance, attitude control, and orbit estimation systems. Additionally, you will contribute to the GNC organization by mentoring engineers and developing novel algorithms for large, flexible structures.
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Collaborate with product, client experience, and AI engineering teams to diagnose and resolve complex production issues. You will write technical specifications, performant scripts, and database queries while maintaining clear communication with internal stakeholders and customers.
The Agent Architect will design and implement the operational framework and data integrations for AI Superhumans within client ecosystems. This role involves leading technical discovery, configuring agent behaviors, and serving as the primary technical consultant for enterprise customers.
The role involves designing accurate fire protection construction documents, including sprinkler systems, fire alarms, and smoke control analysis. The engineer will also provide consulting for life safety code compliance, perform site inspections, and mentor junior team members.
The Tech Lead Data Scientist will define and oversee the technical methodology for evaluating, monitoring, and optimizing AI systems in production. They will provide hands-on guidance to program teams and mentor a team of data analysts to ensure rigorous validation and performance measurement.
Analyze, design, develop, and troubleshoot software programs for commercial or end-user applications. Build enhancements, resolve bugs, and perform unit testing while collaborating with QA and engineering teams.
You will lead the design and delivery of secure frameworks, paved paths, and workflow-native controls to eliminate vulnerability classes. Additionally, you will drive product security reviews and shape security strategy for AI-assisted development and engineering workflows.
You will design and maintain the distributed systems that power the company's data syncing engine to ensure high performance and reliability. Additionally, you will collaborate directly with customers to solve complex scaling challenges and contribute to the architecture of multi-region and multi-cloud infrastructure.
The Staff Data Analyst will lead data strategy for regulatory engagements and develop actionable analytics to quantify compliance risks. They will collaborate with legal and engineering teams to influence compliance program strategy and communicate insights to internal and external stakeholders.
The Staff Data Analyst will lead data strategy for regulatory engagements and develop actionable analytics to quantify compliance risks. They will collaborate across legal and engineering teams to inform strategic builds and communicate insights to internal and external stakeholders.
The Staff Data Analyst will lead data strategy for regulatory engagements and develop actionable analytics to quantify compliance risks. They will collaborate with legal and engineering teams to inform strategic builds and communicate insights to internal and external stakeholders.
You will design, implement, and maintain CI/CD pipelines and cloud-based infrastructure on Google Cloud Platform to ensure reliable software delivery. Additionally, you will automate processes, manage system observability, and mentor team members on DevOps best practices.
The Senior Data Scientist leads the end-to-end lifecycle of AI and machine learning initiatives to improve healthcare outcomes and operational efficiency. They also mentor junior staff and translate complex technical findings into actionable insights for stakeholders.
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The Infrastructure Sales Specialist will manage a sales territory by developing business plans, identifying construction projects, and building relationships with contractors and engineers. They are responsible for the entire project lifecycle, from initial pursuit and specification to final commissioning and after-sale support.
The Lead Data Scientist will independently apply advanced AI and data science techniques to solve complex business problems within the Higher Education unit. They are responsible for developing scalable solutions, mentoring team members, and communicating technical insights to diverse stakeholders.
Design and build scalable systems, services, and user-facing workflows to support the core platform and operations of Upstart Bank. Collaborate with product, compliance, and engineering teams to deliver reliable, audit-ready software in a regulated financial environment.
The Data Analyst will generate and maintain Python-based client reporting to support measurement and analysis. They will also conduct quality assurance and act as a technical point-of-contact for SQL and Python-related inquiries.
You will manage and optimize the digital storefront experience within Salesforce Commerce Cloud, including product categorization, search optimization, and campaign execution. You will also collaborate with marketing and development teams to improve site performance, conversion rates, and the overall customer journey.
The Business Analyst will support the client lifecycle by documenting workflows, analyzing user journeys, and creating functional specifications for software development. They will also collaborate with cross-functional teams to drive innovation, lead client meetings, and provide ongoing product support.
Develop and maintain secure, scalable services while ensuring high performance and system reliability. Provide technical guidance to team members and collaborate across internal departments to resolve complex technical issues.
You will lead the technical vision and architecture for revenue-critical infrastructure, including billing, payments, and pricing systems. You will collaborate with cross-functional teams to ensure system correctness, scalability, and reliability while driving long-term platform strategy.
You will serve as the primary technical escalation point for database-related customer issues, troubleshooting complex replication and integration problems. Additionally, you will contribute directly to open-source database connectors and collaborate with engineering teams to drive product improvements.
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Design and implement scalable, secure cloud-based services using Go for a medical device SaaS platform. Collaborate with cross-functional teams to integrate APIs and manage production systems to ensure high availability and performance.
You will develop, deploy, and optimize AI agents while integrating them with external systems to solve practical customer problems. Additionally, you will collaborate with customers and internal teams to gather requirements, conduct demos, and provide technical guidance for successful AI deployments.
Create high-quality, actionable research content on analytics and AI while providing expert advice to clients through various interactions. Act as an industry thought leader by predicting market trends, mentoring team members, and supporting sales efforts.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data platforms to support analytics and AI initiatives. They will collaborate with cross-functional teams to ensure data quality, security, and performance within financial services environments.
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