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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You will build and maintain AI-powered workflows and integrations across the GTM technology stack to improve operational efficiency. This involves collaborating with cross-functional teams to identify pain points and implementing scalable technical solutions using Salesforce and automation tools.
The Sales Engineer II serves as the primary technical resource for pre- and post-sales engagements, conducting discovery sessions and designing cloud infrastructure solutions. They also collaborate with internal teams to support product demonstrations, proof of concepts, and knowledge sharing across the organization.
The backend engineer will build and maintain scalable SaaS services, including API development, session tracking, and system integrations. They are responsible for implementing secure endpoints, managing database structures, and ensuring robust error handling and logging in production environments.
You will define and implement user interfaces while shaping frontend architecture and UI standards for a financial platform. Additionally, you will drive experimentation through A/B testing and collaborate across teams to improve product metrics and user engagement.
You will build and maintain CI/CD pipelines and AWS infrastructure to ensure reliable, secure, and on-demand software releases. Additionally, you will collaborate with cross-functional teams to improve developer experience and implement security best practices.
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The Customer Solutions Architect will serve as a trusted advisor to ensure customer success, retention, and platform adoption. You will provide hands-on architectural guidance, troubleshoot complex environments, and drive the operationalization of metadata-driven workflows.
The manager will oversee the reliability, performance, and observability of AI systems in production, including traditional ML, Generative AI, and Agentic AI. They will lead a team responsible for production support, incident response, and establishing best practices for Ethical AI.
The Enterprise Architect will design and maintain enterprise systems while aligning IT strategy with business objectives. They will provide leadership to development teams and ensure architectural integrity across all technology projects.
The Data Engineer designs, builds, and maintains cloud-native data platforms and integration pipelines within Microsoft Azure. This role ensures secure and reliable data exchange between internal applications, external partners, and analytics systems.
The Senior Data Engineer II will own and evolve the end-to-end data pipeline architecture while leading platform-level improvements in scalability, cost, and reliability. They will also mentor team members and influence technical strategy across engineering, product, and data science departments.
The Field Engineer will independently schedule and conduct preventative maintenance on critical power equipment such as UPS, PDUs, and battery systems. They are also responsible for troubleshooting systems to identify root causes and responding to emergency service calls on a 24/7 basis.
The Field Engineer will independently schedule and conduct preventative maintenance and repairs on critical power equipment such as UPS, PDUs, and battery systems. They are also responsible for responding to 24/7 emergency calls and providing technical guidance to team members.
Design and implement robust Rust services and libraries to power trading, payments, and crypto experiences. Collaborate on large-scale distributed systems architecture while ensuring high performance and reliability.
Provide prompt technical assistance to enterprise customers while managing support queues and resolving complex issues. Collaborate with engineering and product teams to escalate root-cause defects and contribute to the knowledge base.
The LMS Administrator will oversee the configuration, automation, and integration of the Docebo Learning Management System to support enterprise learning initiatives. They will collaborate with cross-functional teams to design workflows, manage course inventories, and ensure data integrity across the platform.
Design, build, and deploy AI-powered automations and integrations to improve operational efficiency across business systems. Collaborate with leadership and IT teams to translate operational challenges into practical technical solutions.
The Senior Data Analyst will own the reporting layer bridging Sales and Post-Sales, producing board-ready metrics and externally-facing dashboards. They will partner with Finance to validate key business metrics and automate cross-funnel KPIs using BI tools.
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You will own the end-to-end tracking and reporting of computer vision accuracy metrics while curating and labeling datasets to improve model performance. Additionally, you will build and maintain continuous learning pipelines to ensure models are retrained and deployed efficiently.
Perform protection studies, fault event analysis, and develop relay setting files for distribution substations and feeders. Collaborate with utility clients to review design packages and ensure project quality and budget objectives are met.
You will provide technical support and guidance to ClickHouse users and customers across various channels including chat, Slack, and meetings. Additionally, you will collaborate with engineering and product teams to develop solutions and improve support processes.
You will build and maintain Android applications for rugged Zebra handheld devices, focusing on RFID and barcode scanning features. You will also collaborate with backend teams to ensure reliable data syncing and participate in code reviews to maintain high code quality.
You will design and build scalable ETL/ELT pipelines on the Databricks platform while ensuring operational reliability through monitoring and incident management. Additionally, you will leverage AI tools to accelerate development and mentor team members on best practices for software engineering and data quality.
Lead migration projects from third-party mainframe performance monitoring tools to OMEGAMON while assessing customer environments and developing implementation strategies. Collaborate with project managers and technical teams to install, configure, and troubleshoot performance management solutions within enterprise z/OS environments.
Lead and manage data science initiatives within the Digital Operations team, overseeing projects from inception to deployment. Mentor citizen data scientists and collaborate with cross-functional teams to develop advanced analytics models that drive operational improvements.
The role involves coding, testing, debugging, and documenting programs to meet client needs while assisting in production support. You will also design program enhancements, develop test plans, and conduct quality assurance activities like peer reviews.
The Senior Manager oversees and monitors internal and external cost recovery and cost containment initiatives to meet targeted project metrics. They also partner with health plans to identify cost-saving opportunities and present reporting packages to senior management.
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The Senior Director will lead the planning and execution of data strategy, including warehousing, integration, and reporting to support commercial launches. They will also partner cross-functionally to develop business KPIs and analytical solutions across the organization.
The Associate Director will generate in-depth analytical insights and forecast models to drive critical business decisions for commercial products. They will partner with cross-functional teams to measure KPIs, analyze market performance, and present findings to senior leadership.
You will participate in the design, development, and maintenance of cloud infrastructure while collaborating with engineering teams to optimize performance. Additionally, you will build automated CI/CD pipelines and implement monitoring solutions to ensure system reliability and security.
The role involves managing and optimizing enterprise-level mainframe storage and backup environments, including IBM DS8000 arrays and virtual tape systems. Responsibilities also include conducting capacity planning, performance tuning, and ensuring high availability through robust disaster recovery and backup strategies.
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