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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Perform advanced structural analysis and design for concrete and steel systems within nuclear and DOE facility environments. Prepare detailed calculation packages, design documentation, and technical reports to ensure compliance with regulatory and safety standards.
The Mechanical Engineer will execute design and analysis for nuclear systems while ensuring compliance with quality assurance standards. They will also coordinate project efforts across engineering disciplines and develop necessary technical documentation.
Design and implement security infrastructure upgrades, including intrusion detection and surveillance systems, for nuclear and power generation facilities. Coordinate the integration of these systems into plant control environments while ensuring operational reliability and seamless user functionality.
The Senior Software Engineer will build and maintain security automation workflows using Python within the SOAR platform. They will also manage cloud infrastructure, troubleshoot automation processes, and collaborate with cross-functional teams to ensure security and compliance.
Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.
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The SonarQube Administrator is responsible for installing, configuring, and optimizing the SonarQube platform to maintain high code quality standards. They will manage user permissions, quality profiles, and provide technical support to development teams regarding static analysis.
You will own and grow the strategic partnership with AWS by building relationships with their field teams and partner managers. Additionally, you will drive co-selling opportunities, execute joint business plans, and collaborate with internal teams to support marketplace initiatives.
You will own the end-to-end infrastructure for ScaleOps, managing cloud environments across AWS, GCP, and Azure. Additionally, you will collaborate with R&D and product teams to automate operational tasks and ensure high reliability for production environments.
Engage with customers to drive technical wins and build long-term value-based relationships. Partner with the sales team to provide product expertise, onboard partners, and support the entire customer journey.
You will serve as the primary point of contact for resolving complex technical issues related to platform installation, configuration, and integrations. Additionally, you will monitor customer alerts, manage the ticketing system, and collaborate with R&D to drive product improvements based on recurring issues.
The Sr. Network Automation Engineer designs, builds, and operates an API-driven network automation platform to enable customer self-service provisioning. This role involves developing backend services, managing network-as-code workflows, and ensuring the reliability and security of customer-facing network services.
The Principal Network Automation Architect is responsible for the end-to-end architecture, engineering, and operation of a custom, Python-based network-as-code platform. This role provides technical leadership, sets architectural standards, and ensures the reliability and security of the platform that powers customer-facing network services.
The engineer will build Python backend applications and integrations to replicate existing SaaS tools for AI training data. They will also conduct data mining, author realistic tasks, and perform quality assurance to ensure system fidelity.
You will take full ownership of backend services, designing and maintaining scalable distributed systems to support millions of users. You will also collaborate with cross-functional teams to ship reliable features while mentoring junior engineers and participating in on-call rotations.
Provide advanced technical support for customers running workloads on GPU cloud platforms and serve as a technical escalation point for complex incidents. Collaborate with engineering teams to improve platform reliability, perform root cause analysis, and develop automation tools to streamline support workflows.
You will develop and implement statistical and machine learning models to transform behavioral data into validated digital biomarkers. Additionally, you will own the full machine learning lifecycle, from exploratory analysis and feature engineering to production deployment and monitoring.
Develop and validate statistical and machine learning models using electronic health record data to predict clinical treatment outcomes. Collaborate with clinical advisors and software engineers to ensure model interpretability and successful integration into production systems.
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Build and ship end-to-end product features across frontend, backend, and agent-driven workflows. Design scalable systems and contribute to the core product experience while improving developer velocity and quality.
Design and build end-to-end full-stack features while collaborating with product and design teams. Own services throughout the entire development lifecycle, from initial coding to deployment on cloud infrastructure.
You will design and implement high-quality data models and architectures while defining data quality rules and governance mechanisms. Additionally, you will consult with clients to improve data quality and facilitate workshops on AI and automation.
Design and lead the end-to-end architecture for a next-generation operational data platform using real-time streaming technologies. Establish data governance, security frameworks, and canonical data models while providing technical mentorship to engineering teams.
You will lead end-to-end full-stack delivery and shape the company's AI engineering strategy by building features and agentic workflows. You will also collaborate directly with the CTO on platform architecture, roadmap decisions, and technical strategy.
You will design and scale the real-time voice platform, customer dashboard, and analytics pipeline while transitioning into a leadership role. This involves building high-impact features and managing the growth of the engineering organization.
You will design, build, and ship production features across the Hipp platform while collaborating with experienced engineers. Your work will involve developing backend services, APIs, and frontend systems to support AI-native healthcare infrastructure.
Analyze complex healthcare datasets to identify trends, improve patient navigation, and optimize network integrity. Collaborate with cross-functional teams to build data models, maintain BI reporting, and translate analytical findings into actionable business recommendations.
You will design, build, and ship production features across the Hipp platform, working on backend services, APIs, and frontend systems. You will collaborate with cross-functional teams to deliver scalable solutions for healthcare operational and billing workflows.
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The Senior Program Director will lead the strategy, design, and implementation of movement infrastructure interventions while supervising the Movement Infrastructure Team. They are responsible for providing coaching, training, and capacity building to partner organizations to strengthen their operational and security systems.
You will own the company and people search infrastructure, managing everything from data ingestion and ranking to the development of intelligent search agents. You will also collaborate with the CTO to make long-term architectural decisions and improve the overall relevance and reliability of search features.
You will build and integrate agents and automation to enhance product usability and reliability. This involves working closely with the concierge team to translate workflows into efficient, automated processes.
Lead full-cycle technical implementations of the digital banking platform, acting as a consultant to translate business requirements into technical solutions. Manage client environments, perform testing, and collaborate with cross-functional teams to ensure successful production launches.
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