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 Medical Records Coder II is responsible for accurately coding primary and secondary diagnoses and procedures using ICD-10-CM and CPT-4 conventions. They also coordinate the work of subordinate employees, assist with training programs, and ensure optimal reimbursement through accurate data abstraction.
You will own the operational end-to-end delivery of workshops, including logistics, guest coordination, and venue management. Additionally, you will build and improve scalable systems and playbooks to support the growth of the Global Challenges Project.
The GCP Program Manager will own the strategy, design, and delivery of residential workshops focused on AI safety and biosecurity. This role involves leading program teams, managing outreach and participant selection, and iterating on program formats to maximize impact.
Design and implement robust, scalable software architectures for complex logistics applications. Collaborate with cross-functional teams to define architectural standards and provide technical mentorship to engineers.
The administrator will manage and maintain corporate and client-hosted IT infrastructure, including servers, networks, and Microsoft SQL Server environments. They will also provide day-to-day technical support to Australia-based employees while collaborating with the Toronto-based engineering team.
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You will shape the technical direction of complex software products and platforms while serving as the primary technical authority for your team. You are responsible for designing new applications, mentoring junior engineers, and ensuring high standards for performance, scalability, and security.
The Senior AI Data Engineer will design and maintain the data foundation, including modeling and quality control for AI systems and LLM pipelines. This role involves close collaboration with data scientists to ensure robust data retrieval and feature layers for analytical products.
The Lead DevOps Engineer will build and optimize self-hosted GitLab CI/CD pipelines and manage container platforms like Kubernetes. They will also implement Infrastructure as Code, enhance DevSecOps controls, and improve observability across hybrid cloud environments.
Participants will use a Google Pixel device to interact with apps that generate notifications and perform sorting tasks. They are also required to submit daily feedback and documentation to assist with project tracking.
Design, develop, and maintain Python-based automation workflows to streamline security investigation, alert triage, and incident response. Collaborate with Cyber Defenders to translate operational requirements into scalable, reliable, and observable automation use cases.
You will design the technical vision for the Corporate Data Warehouse and build a scalable, finance-grade semantic layer to support financial reporting and audits. Additionally, you will enforce data governance standards and partner with Finance stakeholders to ensure data accuracy for month-end close workflows.
Define and lead the technical direction for payment processing, fraud prevention, and financial-data platforms. Collaborate with cross-functional teams to ship complex, scalable features while maintaining system health and reliability.
You will build and manage the infrastructure stack to ensure the engineering team can ship products effectively and efficiently. This includes maintaining chain reliability, validator infrastructure, and optimizing developer velocity.
The Solutions Architect will design scalable observability architectures and define implementation blueprints for enterprise customers. They will act as a technical authority, mentoring implementation teams and ensuring production-ready deployments of the Observe platform.
You will develop, test, and deploy full-stack software across the product platform to improve transportation systems. Additionally, you will collaborate in agile teams to troubleshoot system issues and optimize performance through continuous refactoring.
The Business Analyst will gather and translate business requirements into clear user stories and acceptance criteria while collaborating with product, engineering, and data teams. They will also analyze business processes, document workflows, and support backlog refinement to ensure solutions meet business needs.
You will build and maintain field tooling, automate sales engineering workflows, and conduct research on customer environments to identify and mitigate security risks. Additionally, you will own threat intelligence for the go-to-market team and present findings directly to customer security stakeholders.
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You will design and maintain OpenTelemetry pipelines to improve observability across production infrastructure on GCP and Kubernetes. Additionally, you will define SLIs and SLOs, manage infrastructure via Terraform, and collaborate with engineering teams during incident response.
You will architect, build, and deploy high-performance AI/ML platforms while partnering with stakeholders to translate business goals into production-grade solutions. Additionally, you will mentor junior engineers and drive technical standards to ensure operational excellence and system scalability.
The Appian Developer will design, implement, and maintain complex business process management applications on the Appian low-code platform. They are also responsible for administering the Appian instance, integrating external systems, and mentoring junior developers.
The Coder III reviews electronic medical record documentation to accurately assign ICD and CPT codes for professional office visits and minor surgical procedures. They also abstract key data elements for billing and ensure coding accuracy while identifying documentation inconsistencies.
Design and execute functional, integration, and regression tests for APIs and microservices architectures. Collaborate with development and architecture teams to document defects and ensure quality standards are met throughout the software development lifecycle.
The Lead Consultant serves as a primary client-facing expert, coordinating AI and analytics strategies while managing client relationships and project workflows. They provide technical guidance, anticipate client needs, and ensure consistent service delivery across complex data-intensive projects.
The Senior AI Solution Architect will design end-to-end AI systems for customer experience use cases and architect production-ready solutions using LLMs and orchestration layers. They will also drive strategic AI opportunities, scale field capabilities through technical enablement, and provide feedback to product teams.
The Cloud Platform Engineer will design, implement, and manage Azure-based infrastructure and Databricks environments to ensure system scalability and performance. The role involves collaborating with development teams to support data workflows, monitoring system health, and resolving infrastructure-related incidents.
Design, implement, and maintain Salesforce CI/CD pipelines using Copado while managing deployments across development, QA, UAT, and production environments. Partner with cross-functional teams to improve release governance, automate deployment tasks, and troubleshoot metadata or synchronization issues.
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Design and implement scalable Salesforce Data Cloud solutions including data ingestion, identity resolution, and segmentation workflows. Partner with cross-functional teams to integrate Data Cloud with downstream systems and ensure data quality and governance.
The Connected Equipment Engineer leads enterprise manufacturing connectivity by deploying machine connectivity technologies and removing infrastructure barriers. This role acts as a subject matter expert to integrate diverse systems like robotics, PLCs, and SCADA into secure enterprise environments.
The Epic Integration Project Manager will lead the full lifecycle of provider onboarding projects, including planning, configuration, testing, and go-live execution. They will coordinate across internal engineering and product teams while managing project scope, risks, and timelines to ensure a seamless customer experience.
Design and implement real-time data streaming, inference, and high-throughput data availability projects. Collaborate with the team to turn raw data into actionable insights for the aviation industry.
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