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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Design and develop scalable Java backend services and RESTful APIs hosted on Azure to support internal and external stakeholders. Collaborate with cross-functional teams in an agile environment to maintain high-quality code and implement modern AI capabilities.
Serve as the primary technical leader for channel partners, providing pre-sales support, solution architecture design, and technical training. Collaborate with sales peers and product teams to expand partnerships and improve product offerings based on partner feedback.
Responsible for running, maintaining, and developing the IT endpoint fleet while providing second-level support to end-users. The role involves creating software packages, managing vulnerabilities, and acting as a Subject Matter Expert for workplace projects.
Identify process improvement opportunities across business functions and design production-ready AI-powered agents and workflows. Act as the internal champion for AI tooling by enabling teams and establishing reusable patterns and standards.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to optimize data handling and ensure the reliability of AI-driven tools.
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The Lead Data Engineer will assess data sources and availability to determine the technical feasibility of AI, automation, and reporting use cases. They will identify integration requirements, manage implementation risks, and provide technical documentation and sizing for build activities.
Administer and maintain the ServiceNow platform, focusing on ITSM and HRSD modules, performance monitoring, and security management. Provide level 2 end-user support and manage the software development lifecycle, including releases, changes, and patches.
Manage controlled engineering documentation and ERP master data for heavy gauge thermoforming programs. Administer the Engineering Change process and ensure alignment between EPDM specifications and NetSuite records to support production.
Provide technical support for Veeam Backup and Replication, performing deep-dive troubleshooting and log analysis to resolve customer issues. Act as a technical focal point for IT professionals, managing cases from inception to resolution while documenting interactions in the CRM.
Design and maintain secure, scalable cloud infrastructure on Azure and automate CI/CD pipelines using GitLab Ultimate. Manage containerized environments with Docker and Kubernetes while ensuring high availability and system security.
Design and develop custom machine learning models for production to drive business decisions in fraud detection and customer engagement. Lead the statistical design of A/B tests and collaborate with MLOps to deploy and maintain real-time models.
The Lead Data Engineer will assess data sources, quality, and integration requirements to validate the technical feasibility of AI and reporting use cases. They will provide platform recommendations, identify implementation risks, and support technical documentation for final recommendations.
Design and maintain full-stack web applications and AI-powered solutions using React and Python/FastAPI. Develop scalable backend architectures, optimize PostgreSQL databases, and integrate Large Language Models into business workflows.
Build and support tools, processes, and infrastructure to enable faster software delivery and scaling. Ensure the availability, reliability, and scalability of application infrastructure while managing CI/CD pipelines and monitoring metrics.
The Solution Architect will evaluate and implement performance and stability enhancements within Dynamics 365 Customer Engagement, focusing on Customer Insights. The role involves designing, troubleshooting, and optimizing various components to align system functionality with client business objectives.
Build and manage a high-quality talent pool for NATO-related opportunities by assessing security clearance eligibility and professional backgrounds. Utilize AI tools and internal databases to match prequalified candidates with specific project requirements.
The Lead Data Engineer will assess data sources and availability to identify ingestion and integration requirements for AI and reporting use cases. They will validate technical feasibility, identify implementation risks, and provide technical documentation and sizing for build activities.
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The Lead Data Engineer will assess data sources and availability to identify ingestion and integration requirements for AI and reporting use cases. They will validate technical feasibility, identify implementation risks, and provide technical documentation and sizing for build activities.
Perform startup, commissioning, and technical diagnostics for medium-voltage power distribution solutions across the EU. Responsibilities include root cause analysis of failures, conducting maintenance, and training customers on equipment operation.
The role involves bringing up and optimizing camera pipelines and video processing features on various SoCs for ADAS. Responsibilities include developing device drivers, implementing OS-level concepts, and collaborating across teams to fine-tune hardware accelerators.
Design and deliver scalable, production-grade AI architectures including data pipelines and retrieval systems. Collaborate with delivery teams and business leaders to translate architectural designs into executable work items and technical solutions.
Shape the platform architecture and define standards to deliver scalable, cost-efficient services. Act as a senior technical leader guiding complex decisions and contributing hands-on to code and technical delivery.
Shape the technical direction and architecture of the payments platform to ensure scalable, secure, and resilient solutions. Act as a senior technical advisor across engineering teams while managing integrations with external payment providers.
The role involves performing automation testing for NVS products. The engineer is responsible for delivering releases on time while maintaining high quality metrics.
Build and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing. Collaborate with stakeholders to deliver end-to-end data products and maintain the analytical database ecosystem.
The role focuses on designing, architecting, and engineering enterprise security solutions from conception to deployment. It involves collaborating with cross-functional teams to secure computing infrastructure and platforms.
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Lead the transformation of software engineering by building an AI-Native Engineering Operating System including workflows, standards, and metrics. Design and execute experiments with AI tools and coding agents to improve productivity, quality, and innovation across the organization.
Design, develop, and maintain scalable data pipelines to integrate data from various source systems like ERP and MES. Collaborate with architects and scientists to transform raw data into high-quality data products for business decision-making.
Develop and implement AI and data science models to solve industrial use cases in manufacturing and operations. Collaborate with stakeholders and data engineers to translate business challenges into scalable, data-driven solutions.
The role involves the administration, operation, and tuning of distributed messaging platforms and Spark workloads. It also requires implementing governance, security, and continuous monitoring for critical data environments.
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