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 ERP Consultant is responsible for the end-to-end implementation of GenetiQ software, including technical design, data migration, and system configuration. They act as a subject matter expert to guide clients through requirements gathering, training, and post-go-live support.
You will lead client implementations of the Seqera Platform across cloud and hybrid environments, ensuring robust deployment and integration. Additionally, you will act as a senior technical escalation point and build reusable automation tools to streamline future client onboarding.
You will build and evolve reliable, scalable software systems that connect patients with doctors and improve clinical workflows. You will work in small autonomous teams to deliver high-impact features using AI-assisted development practices.
You will build and maintain high-throughput data integration systems for databases like Postgres, MySQL, and MongoDB. Additionally, you will own end-to-end reliability, debug production issues, and collaborate with customers to drive product innovation.
You will design and implement AI-powered features across the full stack, including backend inference services and intuitive frontend interfaces. Additionally, you will build scalable APIs and maintain integrations with the broader AI/ML ecosystem to ensure seamless functionality.
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You will design and implement AI-powered features across the full stack, bridging high-performance database technology with AI/ML capabilities. This includes building scalable APIs and intuitive frontend interfaces to enhance user interaction with data.
Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces. Create robust, scalable APIs that connect database capabilities with modern AI/ML inference systems and external services.
The role involves providing lead-level technical ownership, design assurance, and delivery leadership for enterprise infrastructure platforms. You will define platform roadmaps, lead complex infrastructure projects, and provide authoritative technical guidance to stakeholders.
You will design, build, and maintain enterprise-scale event-driven integration platforms using Azure Integration Services and Kubernetes. The role involves collaborating with cross-functional teams to implement automation, security, and DevOps practices for reliable cloud-native solutions.
The Solutions Engineer acts as the technical bridge between Sales and customers, managing the technical relationship during the pre-sales process. Responsibilities include designing and delivering Proof of Concepts, providing technical expertise, and troubleshooting complex security issues.
You will engineer complex, high-quality software solutions within a feature team, managing the full development lifecycle from design to deployment. Additionally, you will collaborate with architects and business analysts to optimize engineering capabilities and drive digital ecosystem growth.
You will be responsible for frontend web development and building NodeJS microservices while collaborating with designers and backend engineers to release new features. Additionally, you will participate in code reviews, ensure high test coverage, and help scale the engineering team's culture.
Prepare and process payroll inputs across multiple regions while ensuring data integrity and timely delivery. Collaborate with internal stakeholders to maintain compliance and develop efficient, automated payroll workflows.
The Business Analyst will lead ServiceNow implementations by defining customer needs, developing strategies, and creating functional specifications. They will also facilitate workshops, manage stakeholder priorities, and oversee testing and UAT processes.
You will design and implement high-concurrency systems for the Inbound domain, ensuring reliable communication between warehouse hardware and the platform. You are responsible for architectural decisions that maintain system performance and scalability during high-volume peak seasons.
You will lead the development of a unified platform core by extracting shared capabilities from existing products to improve scalability and efficiency. This role involves setting technical standards, mentoring a distributed engineering team, and ensuring robust system architecture across multiple enterprise clients.
The Principal Application Engineer will lead the modernization of legacy Java applications to cloud-based architectures using MongoDB and GenAI tools. They will shape technical strategy, mentor engineering teams, and serve as a senior technical partner to enterprise customers.
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The role involves planning and providing high-availability Windows-based IT systems within complex infrastructures. You will also be responsible for the technical conceptualization and implementation of customer projects in the managed Windows environment.
You will architect and maintain high-security infrastructure for an enterprise-grade Agent Development Platform, including the implementation of isolated runtimes and secure data stores. Additionally, you will manage event orchestration, infrastructure automation, and network hardening to prevent data exfiltration.
You will design and implement autonomous AI agents to streamline internal processes across various departments like accounting, legal, and sales. Additionally, you will monitor agent performance, develop necessary APIs, and train internal teams on the effective use of AI technologies.
The People Ops Administrator will manage the end-to-end employee lifecycle, including drafting contracts, handling visa processes, and overseeing onboarding logistics. They will also maintain accurate employee data within HRIS platforms like HiBob and Deel to ensure operational consistency.
The medical coder is responsible for applying accurate ICD-10, CPT, and HCPCS codes to medical records while ensuring compliance with payer guidelines. They also support billing accuracy, conduct quality audits, and provide guidance to the billing team.
Review and evaluate AI system behavior, outputs, and technical signals to distinguish legitimate user activity from automated bot activity. Apply expert human judgment to classify data and provide high-quality feedback for AI system training and improvement.
The role involves analyzing and maintaining Java and Spring Boot applications while utilizing AI tools for code refactoring and documentation. You will also be responsible for identifying technical debt, ensuring system performance, and collaborating on CI/CD and DevOps processes.
Collaborate with cross-functional teams to design, develop, and maintain the Elements web application. Drive end-to-end development across the full stack while ensuring high performance, quality, and responsiveness.
You will work with the Central Platform Team to build and scale a modern data platform using Databricks. This involves establishing reusable development patterns and advancing the core codebase through modern data engineering practices.
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You will leverage AI builder tools to rapidly architect, build, and deploy customer-facing business applications and intelligent workflows. Additionally, you will collaborate with cross-functional teams to identify operational bottlenecks and translate user feedback into prioritized product requirements.
You will design and build infrastructure for R&D projects on AWS using infrastructure-as-code and implement robust CI/CD pipelines. Additionally, you will manage observability, security, and cost-optimization strategies while collaborating closely with developers.
You will own the operational reliability and health of the data platform by managing SQL Server environments, Airflow pipelines, and data quality gates. Additionally, you will extend the platform, model new source domains, and act as a final quality check for AI-assisted code generation.
You will develop AI offerings for data and analytics clients, including RAG systems, agentic automation, and machine learning on Databricks. Additionally, you will establish AI governance structures, ensuring compliance with standards like ISO/IEC 42001 and the EU AI Act.
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