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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The Solution Architect will advise clients on Workday and Sana AI strategy, designing architectures that integrate AI capabilities into enterprise workflows. They will also partner with sales teams to shape solution strategies and provide guidance to consultants on responsible AI adoption.
The professional will design, build, and deploy complex agentic AI systems while providing technical guidance to junior team members. They will also collaborate with cross-functional teams to define AI roadmaps and implement evaluation frameworks for LLMs.
The role involves developing and architecting AI systems, including Machine Learning and Generative AI, while collaborating with senior engineers to build and test agentic components. Responsibilities include implementing AI agents, contributing to evaluation frameworks, and supporting production observability and incident management.
The developer will design and deploy lightweight AI-enabled applications using low-code platforms to operationalize generative and agentic AI solutions. They will collaborate with data teams to integrate model outputs into business workflows while ensuring performance, accessibility, and compliance standards.
Develop SQL and PL/SQL extraction programs to migrate employee data from legacy PeopleSoft and Oracle EBS systems to Oracle Fusion Cloud HCM. Collaborate with agency stakeholders to ensure data accuracy, perform reconciliation, and support cutover activities.
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Design and operate AI-assisted workflows to triage large volumes of cyber artifacts and security findings. Build Python-based services and tools to integrate security assessments while maintaining human validation and data provenance.
The Principal Firmware Architect will design and oversee the high-level technical architecture of embedded software systems for iCGM products. They will lead technical design decisions, mentor engineering teams, and ensure software meets regulatory and performance standards.
The analyst will monitor, optimize, and scale AI-powered customer support systems such as chatbots and automated ticketing. They will also analyze performance metrics to identify automation opportunities and ensure systems meet quality and compliance standards.
Responsible for advanced coding of inpatient, observation, and ambulatory surgery records using ICD-10-CM and CPT codes. Manages emergency department encounters and related charging functions including E/M levels.
The Fusion Technical Lead will design and implement technical solutions for Oracle EBS and Fusion Cloud while acting as a liaison between business stakeholders and IT teams. They will drive major transformation programs and lead the migration roadmap from Oracle EBS to Fusion Cloud.
The Escalations Engineer acts as a bridge between customer support and R&D, investigating and resolving complex technical issues for cloud video security products. Responsibilities include reproducing customer issues in a lab environment, demonstrating fixes to development teams, and contributing to technical documentation.
The Solutions Architect will analyze business and IT requirements to design secure, sustainable network architectures for clients. They will also act as a trusted advisor, leading workshops, creating technical proposals, and collaborating with sales teams to drive business opportunities.
The Associate Network Engineer ensures the operations and service delivery of the ARE-ON state-wide backbone network and subscribed services. This role performs hands-on installation, maintenance, and support for network infrastructure while participating in an on-call rotation for incident response.
The medical coder reviews and codes inpatient medical records and clinical documentation to ensure accurate diagnostic and procedural billing. They also collaborate with healthcare providers to maintain compliance with industry regulations and payer requirements.
The role involves deploying, managing, and maintaining Infiniband networks for AI Factory infrastructure in Linux environments. You will act as a domain expert, interacting with customers to define and implement large-scale projects while providing technical feedback to internal teams.
You will serve as a technical advisor and advocate for the manufacturing developer ecosystem, driving the adoption of NVIDIA's AI and accelerated computing platforms. This involves creating technical enablement assets, guiding partners through integration, and collaborating cross-functionally to influence product roadmaps.
Design, code, and test custom Salesforce solutions using Apex and integrate systems via REST APIs. Manage data models, automate business processes with Flow Builder, and configure Service Cloud components.
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Design, build, and maintain interactive Power BI dashboards and reports to provide actionable business insights. Develop and optimize SQL queries and ETL pipelines to ensure data accuracy and consistency across reporting systems.
Develop and maintain productive mobile applications using React Native and TypeScript while implementing clean architecture and modular design. Integrate REST APIs, manage application state, and ensure high performance through rigorous testing and monitoring.
You will own customer engagements from discovery through implementation, designing and deploying BigPanda solutions while partnering with technical stakeholders. You will also build custom integrations, scripts, and automations to ensure successful platform adoption and value realization.
The Systems Engineer will serve as the primary technical relationship owner for MSP/SP accounts, helping partners design, launch, and operationalize SD-WAN and SD-Branch managed services. They will also lead solution architecture, co-sell with partner sales teams, and provide technical enablement across partner organizations.
The Senior Mining Engineer will lead mine planning, design, and optimization activities for projects from concept through production. They will also manage technical studies, author technical reports, and provide mentorship to multidisciplinary teams.
You will design and scale core infrastructure while building tooling and CI/CD pipelines to optimize developer productivity. Additionally, you will champion security-by-design principles and provide technical leadership to mentor engineers across the organization.
Audit AWS Trainium and NKI tasks to ensure technical accuracy, reproducibility, and rigorous evaluation criteria. Provide actionable feedback on hardware acceleration inefficiencies, kernel execution bugs, and logic errors.
Audit and evaluate GPU kernel tasks to ensure technical accuracy, solvability, and reproducibility within AI training workflows. Provide actionable feedback on memory allocation, execution bottlenecks, and parallel computing logic errors.
You will design and maintain scalable AWS-native data pipelines to support ML training, simulation, and analytics for autonomous vehicle fleets. Additionally, you will collaborate with cross-functional teams to ensure data integrity and support the expansion of the enterprise data lake.
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Audit AI-assisted developer workflow tasks to ensure they are technically accurate, realistic, and reproducible. Provide actionable feedback on IDE integration faults, coding inefficiencies, and logic errors within the training tasks.
Audit AWS Serverless and Infrastructure as Code tasks to ensure technical accuracy, solvability, and reproducibility for AI training. Provide actionable feedback on deployment pipeline failures, configuration bugs, and architecture logic errors.
The Senior Software Engineer designs, develops, and supports complex Oracle APEX applications while leading technical architectural decisions. They also collaborate with stakeholders to translate business requirements into scalable, secure, and user-focused technical solutions.
Audit machine learning tasks to ensure technical accuracy, solvability, and reproducibility. Provide actionable feedback on data pipeline flaws, model training inefficiencies, and algorithmic logic errors.
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