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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Lead agile delivery teams to scale enterprise AI solutions while integrating automated security controls into the ecosystem. Define the enterprise AI architecture and cultivate a high-performing engineering team to drive innovation and global deployment.
The AI Engineer will build and deploy AI tools and workflows while integrating AI agents with enterprise systems and external APIs. They will also focus on process automation, security, and ensuring solutions meet ethical and compliance standards.
You will be responsible for planning, implementing, and managing the overall security strategy for managed customers while handling incidents and driving them to resolution. Additionally, you will maintain and improve security technologies, perform vulnerability scanning, and contribute to the defensive capabilities of the SOC.
The role involves architecting and modernizing complex web platforms by migrating legacy Laravel systems into a scalable WordPress environment. You will build custom plugins, Gutenberg blocks, and dynamic editorial interfaces while utilizing AI-assisted tools to accelerate engineering output.
The Solutions Engineer assesses and develops logistics solutions to improve client business models while supporting the sales process through strategic design. They collaborate with cross-functional teams to document requirements, create pricing strategies, and facilitate the transition of clients to implementation.
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The role involves designing and maintaining secure CI/CD pipelines while implementing automated security scanning and API security tools. You will also collaborate with development teams to promote secure coding practices and govern the use of agentic AI coding tools.
Design and build scalable backend services and AI-powered workflows for credit risk operations. Collaborate with cross-functional teams to architect full-stack features and evolve engineering standards.
The Senior Upstream Process Engineer will lead front-end engineering and proposal development for capital bioprocessing projects, including cell culture media and bioreactor systems. This role serves as a technical leader, engaging with customers to translate process requirements into robust, commercially viable solutions.
Perform on-site installation, maintenance, and repair of sophisticated electron microscopy equipment. Provide technical training to customers and support field service operations while maintaining positive client relationships.
The AI Designer will own the design and implementation of AI and NPC features, driving them from initial concepts to in-game playable prototypes. They will collaborate with cross-disciplinary teams to integrate assets, manage features via JIRA, and iterate based on playtest feedback.
The engineer will build and maintain Ruby on Rails applications and data ingestion pipelines for mission-critical defense systems. They will also develop interactive web applications and manage cloud infrastructure using Kubernetes.
The engineer will lead the technical transition of the AbaxOne platform from an offshore team to a U.S.-based team while developing new product capabilities. They are responsible for designing, building, and maintaining production software while applying engineering judgment to solve complex business problems.
The Senior Data Analyst will lead the design and implementation of scalable data solutions and AI-driven workflows to support business intelligence and advanced analytics. They will partner with stakeholders to translate requirements into actionable insights while ensuring data accuracy and compliance within healthcare domains.
The Distribution Engineer will develop construction packages for overhead and underground utility projects and perform distribution line design. They are also responsible for conducting quality reviews, managing project budgets, and coordinating with clients to ensure cost-effective design solutions.
You will develop and maintain enterprise digital commerce solutions using Java and modern front-end frameworks. You will also collaborate with cross-functional teams to integrate REST APIs and optimize application performance.
The ML Annotation QA Engineer will own the quality analysis of annotated data for computer vision and machine learning programs. This includes building performance trackers, conducting root cause analysis on anomalies, and refining decision rules to ensure high-quality model training.
You will build and maintain the company's data infrastructure, including pipelines, models, and self-service analytics tools. Additionally, you will lead high-priority investigations to turn complex data into actionable business recommendations.
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The intern will build and set up new development tools and infrastructure while automating and improving release processes. They will also develop, test, and implement new software designs while collaborating with full-time engineers on enterprise products.
Develop and maintain Oracle APEX applications while ensuring quality through unit and functional testing. Collaborate with senior consultants to interpret data models and document technical decisions and progress.
The role involves developing and maintaining business intelligence solutions using Tableau and managing the Tableau Server environment. You will be responsible for designing dashboards, performing data modeling, and collaborating with internal customers to deliver effective reporting solutions.
Design, develop, and deploy scalable AI systems and ML pipelines to enhance financial products within the NetSuite ecosystem. Collaborate with cross-functional teams to integrate AI models into backend and frontend applications while monitoring performance and reliability.
You will design, develop, and deploy AI solutions and end-to-end ML pipelines to enhance financial products within the NetSuite ecosystem. You will also collaborate with cross-functional teams to integrate these models into production environments while ensuring scalability and performance.
Audit Kubernetes tasks to ensure technical accuracy, reproducibility, and rigor for AI training workflows. Provide actionable feedback on orchestration issues, configuration bugs, and logic errors within the tasks.
Audit software engineering tasks to ensure they are technically rigorous, accurate, and reproducible for AI training. Provide actionable feedback on codebase integration issues, test failures, and logic errors.
The Senior Data Analyst will deliver high-quality analytics, automated reporting, and actionable insights to support FP&A, Partnerships, and Product teams. They will manage the full data lifecycle and collaborate with Data Engineering to build scalable data models and workflows.
Lead mechanical design efforts for federal, healthcare, and institutional facilities, including HVAC, plumbing, and medical gas systems. Manage project schedules, budgets, and deliverables while coordinating with multidisciplinary teams and federal stakeholders.
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You will own the strategy, execution, and optimization of performance campaigns while collaborating with cross-functional teams to drive advertiser growth. Additionally, you will design experiments and use data tools to identify actionable insights and automate manual processes.
You will own the strategy, execution, and optimization of performance campaigns to drive sustainable growth and advertiser outcomes. Additionally, you will collaborate with cross-functional teams including Product and Data Science to design experiments and improve model performance.
Lead the strategy and continuous improvement of the vulnerability management program while driving remediation across cloud, firmware, and corporate systems. Mentor engineering teams on secure design practices and communicate risk tradeoffs to leadership.
Lead the strategy and continuous improvement of vulnerability management and application security programs across cloud, firmware, and corporate systems. Drive remediation efforts by building automation, mentoring engineering teams, and communicating risk to leadership.
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