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 maintain and improve the reliability of the production infrastructure while evolving developer tooling to enhance the engineering experience. This includes managing Kubernetes clusters, optimizing CI/CD pipelines, and automating operational workflows to reduce toil.
The coder is responsible for interpreting medical documentation to assign accurate ICD-10-CM and CPT codes for inpatient and outpatient records. They also serve as a coding resource for other departments and providers to ensure optimal MS-DRG assignment.
You will design and implement core node infrastructure that powers the Polkadot network and its ecosystem. You will also collaborate with design and engineering teams to build reliable and resilient networking and syncing tools.
The Senior Analytics Engineer designs and builds scalable data models and analytics solutions to support clinical and operational decision-making. This role involves collaborating with stakeholders to develop trusted datasets and AI-ready pipelines that improve healthcare outcomes.
The Director will lead the adoption and integration of AI capabilities across the organization by translating complex technical concepts into actionable guidance for non-technical stakeholders. They will manage a team responsible for AI education, strategic communications, and building organizational fluency in AI-driven transformation.
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The engineer will own the full AI stack, specifically expanding speech emotion recognition models into physics-based harmonic engines. They will also manage dual-instance production LLM infrastructure on GCP, including prompt engineering and quality monitoring.
Perform complex field service operations including installation, maintenance, and repairs on high voltage equipment. Lead field service projects while identifying and resolving electrical or mechanical issues to ensure customer satisfaction.
You will own the frontend development of the JTX trading platform across web and mobile, focusing on real-time interfaces and high-performance data visualization. You will collaborate with design and infrastructure teams to make architectural decisions and ensure a seamless, high-quality user experience.
Lead threat modeling, secure design reviews, and penetration testing across Unity's products, cloud services, and AI-native systems. Partner with engineering teams to drive remediation and implement secure defaults and guardrails.
You will shape the organization's technical strategy and lead architectural direction to ensure the delivery of scalable, maintainable solutions. Additionally, you will mentor engineers and hold teams accountable for the consistent execution of technical decisions.
You will serve as the technical voice for Jamf, conducting product demonstrations and supporting sales opportunities across Public Sector, Healthcare, and Education. Additionally, you will build relationships with channel partners, provide technical training, and contribute to regional sales strategy.
The Enterprise Architect will design, govern, and maintain enterprise application architecture patterns across a large federal and DoD-aligned mission environment. They will collaborate with cross-functional teams to ensure application ecosystems are secure, scalable, and aligned with modernization goals.
The Cloud Network Architect will design, secure, and optimize IL5-compliant cloud network architectures within AWS GovCloud environments. They will implement Zero Trust principles, manage network security controls, and ensure compliance with federal and DoD-aligned mission requirements.
The AI/ML Engineer will develop rapid prototypes, microservices, and API-based integrations to operationalize AI/ML models within mission workflows. They will collaborate with data scientists and architects to optimize ML pipelines and ensure seamless integration into production dashboards and applications.
Perform comprehensive manual testing of revenue-related workflows, financial formulas, and transactional data to ensure system accuracy. Collaborate with product and engineering teams to investigate data discrepancies and execute full regression testing for production releases.
The Lead DevOps Engineer will manage a team of at least two direct reports while maintaining a 75% hands-on technical workload. Responsibilities include building CI/CD pipelines, managing virtual infrastructure, and ensuring team deliverables meet customer SLAs.
Provide L2 technical support for Brazilian clients during BRT hours while independently investigating and resolving complex customer issues. Maintain clear and professional communication with customers and assist other Americas-based clients when capacity allows.
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The Data Scientist will develop and scale analytical capabilities, including predictive and machine learning models, to improve client decision-making and drug management solutions. They will collaborate with cross-functional teams to analyze complex healthcare data sets and communicate actionable insights to stakeholders.
You will architect and manage an AI media production platform to generate high-fidelity product visuals for marketing. This involves building reproducible generative pipelines, training LoRA models, and integrating automated quality control checks.
The engineer will maintain and support server infrastructure to ensure 99.9% uptime for global music platforms. They will also manage Kubernetes clusters, automate deployment pipelines, and collaborate with development teams on production deployments.
The Field Solution Architect partners with account managers to design and present advanced cloud-based solutions while driving revenue growth. They lead customer discussions, document discovery findings, and provide technical expertise to support business development and sales enablement.
The AI/ML Architect designs and implements artificial intelligence pilots, machine learning pipelines, and predictive analytics models for federal and DoD missions. They collaborate with cross-functional teams to operationalize AI-driven prototypes and ensure models meet governance and security standards.
You will support retail clients in implementing and optimizing SAP Industry Cloud Solutions with a focus on retail processes. Additionally, you will create solution designs, configure systems, and actively contribute to the development of company services.
You will take end-to-end ownership of feature development and integrate AI-powered solutions into the company's intelligence workflow engine. You will collaborate with cross-functional teams to define scope, design architecture, and maintain high-quality production deployments.
You will shape the organization's technical strategy and lead architectural direction to ensure the delivery of scalable, maintainable solutions. Additionally, you will mentor engineers and hold teams accountable for the consistent execution of technical decisions.
Design, develop, and maintain enterprise-grade Java applications while taking technical ownership of scalable payments platforms. Lead technical design, mentor team members, and ensure high standards for performance, security, and reliability.
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Develop and maintain enterprise-grade applications using Java and Spring Boot while collaborating with cross-functional teams to deliver scalable solutions. Ensure application reliability, performance, and security compliance while contributing to CI/CD pipelines and automated testing processes.
You will administer and optimize core IT tools like JumpCloud and Google Workspace while managing device compliance and identity access. Additionally, you will collaborate with cross-functional teams to automate workflows and provide technical support to ensure a seamless experience for a global workforce.
Design and implement scalable analytical data models using dimensional modeling best practices and DBT transformations. Collaborate with stakeholders to translate business requirements into reliable data solutions while managing ELT pipelines and data governance.
The Principal Sales Engineer will facilitate store transformation through discovery, business impact assessments, and solution operationalization. They will also engage stakeholders to support the adoption of proposed changes and provide internal sales support.
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