The software developer will perform operations, design, development, and testing for the NASA Common Metadata Repository. They will also support the deployment of product updates and construct scalable architecture to improve earth science data quality.
Remote Software Development Jobs (49,298)
Job category = Software Development
Develop and maintain backend systems using ASP.NET and C# while designing and optimizing SQL Server databases. Collaborate with cross-functional teams to build mobile features using .NET MAUI and ensure high code quality through CI/CD pipelines.
The Software Developer will provide full stack support for Federal Government client and back-end systems. Responsibilities include production support, development, and database management using various technical tools.
You will design and build AI-powered workflows that connect LLMs to security operations, including RAG pipelines and agent orchestration. You will also own the end-to-end AI architecture, optimizing for performance and cost while mentoring the engineering team.
Design, develop, and maintain features across the full stack including backend services, APIs, and frontend interfaces. Collaborate with cross-functional teams to ensure secure, scalable, and high-quality integration of immersive training platform components.
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You will be responsible for bringing up new silicon on bench platforms and debugging complex issues across ASIC, board, and system interactions. Additionally, you will develop test infrastructure, scripts, and tools to collect data and support rapid design iteration.
The Senior Data Scientist will scope and co-develop production-level data science projects while providing strategic support and training to customers on the Dataiku platform. They will also lead technical engagements, coordinate agile sprints, and contribute to internal best practices and external content.
The Senior Data Analyst leads the development and management of dashboards, reporting solutions, and performance analysis to support business decision-making. They translate business questions into analytical approaches and collaborate with cross-functional teams to ensure data accuracy and actionable insights.
The Senior Data Analyst leads the development and management of dashboards, reporting solutions, and performance analysis to support business decision-making. They translate business questions into analytical approaches and collaborate with cross-functional teams to ensure data quality and actionable insights.
The Senior Data Analyst will lead the development and management of dashboards, reporting solutions, and performance analysis to support business decision-making. They will translate business questions into analytical approaches and collaborate with cross-functional teams to ensure data accuracy and actionable insights.
The Principal Application Modernization Engineer defines technical scope, owns architectural direction, and ensures successful delivery of complex workstreams. They also mentor engineering teams, integrate AI capabilities into client applications, and serve as the primary technical point of contact for clients.
The Senior Security Engineer will design, build, and scale security solutions to manage the end-to-end vulnerability lifecycle, including bug bounty programs and supply chain security. They will also develop AI-powered tools to automate detection and remediation while mentoring team members and defining vulnerability management strategies.
The Marketing Technology Architect will lead the configuration and implementation of the Cordial platform, including CDP setup and automated messaging flows. They will also manage SFCC integrations, data migrations, and provide technical enablement for marketing and CRM teams.
Lead the design and implementation of ecommerce and order management platform solutions while aligning them with client business objectives. Provide technical guidance to cross-functional teams and stakeholders throughout the project lifecycle to ensure high-quality, timely delivery.
You will design, develop, and maintain scalable Python-based backend services and APIs to support critical business workflows. Additionally, you will implement AI-powered features, including LLM integration, RAG patterns, and evaluation frameworks to improve platform performance.
Develop and maintain solutions across the full Supercast stack while collaborating with product and design teams to build creator-focused features. You will also mentor junior developers and conduct experiments to optimize user experiences and feature adoption.
You will work on both the back-end and front-end of the Ruby on Rails application to implement new features and resolve customer issues. You will collaborate closely with product and design teams to ensure project success and adoption.
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The AI Data Scientist Team Lead architects end-to-end AI solutions and manages the AI Platform team, balancing technical solution design with engineering leadership. Responsibilities include defining the platform roadmap, mentoring engineers, and ensuring AI systems meet healthcare security and governance standards.
The manager will own the marketing execution and measurement engine, including tools, data flows, and campaign operations to drive lead generation. They will also lead end-to-end webinar operations and maintain data hygiene to ensure actionable insights for the North America marketing team.
The manager will own the marketing execution and measurement engine, including tools, data flows, and campaign reporting to drive lead generation. They will also lead end-to-end webinar operations and optimize marketing processes to ensure data integrity and campaign performance.
The Senior SRE will own and support global product deployments while providing 24/7 operational support and incident resolution. They will also maintain infrastructure monitoring, CI/CD tooling, and documentation to ensure system reliability and performance.
The Security Architect will advise technology teams on security strategy, implementation, and cloud-native architecture design. They will partner with business leaders to develop solutions that protect intellectual property and customer data while ensuring compliance with security frameworks.
Lead Director, AI/ML Solutions Engineering & Delivery
CVS Health
·
Full Time
·
6 Weeks Ago
CVS Health
The Lead Director will build and lead an engineering organization responsible for designing, scaling, and delivering enterprise AI/ML solutions. This role involves partnering with cross-functional teams to establish technical standards, drive architecture decisions, and manage the end-to-end delivery of AI-powered products.
Lead the end-to-end delivery and ongoing support of software projects while contributing to the design of new features. Facilitate engineering discussions, mentor junior engineers, and advocate for standard methodologies across the organization.
Sales Engineer, Utilities Vertical (USA-Remote)
Regal Rexnord
·
Full Time
·
6 Weeks Ago
Regal Rexnord
The Sales Engineer will lead growth within the utility vertical by developing and executing a go-to-market strategy for power management solutions. They will build and maintain relationships with key utility decision-makers to drive high-value, long-cycle projects involving grid resiliency and infrastructure.
The administrator is responsible for processing daily cash receipts, performing reconciliations, and managing journal entries for corporate business units. They will also support billing processes, resolve payment discrepancies, and assist with collection efforts to ensure accurate receivables.
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The Field Service Engineer will travel to customer sites to perform installation, calibration, maintenance, and emergency repairs on inspection equipment. They are also responsible for documenting service activities, training customer personnel, and promoting additional product offerings.
Finance Manager-AI Implementation and Process Optimization
McGraw Hill LLC.
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Full Time
·
6 Weeks Ago
McGraw Hill LLC.
The Finance Manager will lead the integration of AI technologies into financial operations to drive cost savings and operational efficiencies. Responsibilities include managing budgeting and forecasting, performing financial analysis, and overseeing AI-related projects across departments.
You will design and maintain data pipelines, platform automation, and data models within the Snowflake and Dataiku environment to support enterprise analytics and AI initiatives. Additionally, you will collaborate with cross-functional teams to implement DataOps processes, ensure data quality, and drive architectural decisions for the data platform.
Develop and maintain reliable, scalable data pipelines while ensuring quality, performance, and observability. Collaborate with cross-functional teams to evolve the data platform and provide analytical datasets for business needs.
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