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 Solutions Architect will align technology with business requirements by designing and integrating application systems for the AMI project. They will also mentor internal staff on utility-specific frameworks and ensure technical architecture compliance with client standards.
The Business Analyst II transforms operational and financial data into actionable insights to drive organizational decision-making and performance. They are responsible for developing KPI frameworks, creating executive-level narratives, and partnering with business units to improve operational excellence.
The role involves leveraging AI and data tools to optimize the payments platform, including cost efficiency, performance, and risk mitigation. You will partner with cross-functional teams to build scalable data solutions, maintain infrastructure, and provide actionable insights.
The Associate Director will lead and scale the Analytics Engineering function by establishing data quality standards, documentation, and delivery frameworks. They will also provide technical mentorship to the team while performing hands-on data work to support critical client deliverables.
Design and build backend services that harvest and reconcile business context from various systems into a governed platform. Collaborate with product teams to build certification workflows and integrate AI agents and BI tools with certified data context.
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You will design, develop, and automate security controls for cloud infrastructure while maintaining and scaling security tooling across AWS and GCP. Additionally, you will lead security projects end-to-end, including threat modeling, architecture reviews, and driving remediation of vulnerabilities.
You will own and evolve AWS architecture, governance, and security while building and operating full-stack services using TypeScript and Python. Additionally, you will drive operational excellence by managing incidents, monitoring systems, and automating infrastructure delivery.
The Senior Director will lead the capacity planning, workforce operations, and analytics department to support Omada's multi-condition platform. This role involves setting strategic priorities, driving AI-enabled predictive modeling, and managing staffing operations to ensure efficient care delivery.
The lead analyst is responsible for monitoring and analyzing repricing audit data to ensure accuracy, compliance, and operational efficiency. They will also develop quality policies, provide training, and collaborate with stakeholders to meet organizational quality objectives.
The Data Integration Specialist will design, build, and maintain automated ETL/ELT pipelines to connect financial source systems to a new budgeting platform. They will also perform data mapping, validation, and performance tuning to ensure the integrity and accuracy of financial data.
Design and implement AI-driven solutions, intelligent agents, and automated workflows to optimize operational processes. Integrate various platforms and APIs while generating actionable insights and intelligence for the organization.
The Staff Engineer will set technical direction and architecture for the platform while partnering across teams to solve complex, cross-functional problems. They will also mentor other engineers and ensure high-quality, scalable code delivery in an AI-native environment.
The Project Engineer leads all engineering efforts from project kickoff to site handover for automated storage solutions. They act as the technical point of contact for integrators and end users while coordinating documentation, production, and installation support.
The Clinical Integration Analyst designs, implements, and supports integrations between hospital clinical systems and the PerfectServe platform. They serve as a subject matter expert, partnering with customer technical teams and internal R&D to ensure effective workflow automation.
You will build and maintain ingestion pipelines from production source systems while developing transformation models to create trusted datasets. Additionally, you will contribute to data model design and deploy pipelines to production with a focus on data quality and testing.
You will own the AWS infrastructure for a new data platform, implementing declarative, version-controlled infrastructure and secure deployment paths. The role involves designing least-privilege access models and maintaining reliable, automated Kubernetes workloads in a regulated healthcare environment.
You will own the implementation design for a unified data platform, including ingestion, modeling, and consumption surfaces. You will also shape the detailed architecture, set engineering standards, and mentor data engineers to ensure high-quality data delivery.
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The Medical Coder is responsible for reviewing clinician-entered charge suggestions, resolving coding edits, and validating charge accuracy within obstetric and GYN services. They must analyze and resolve coding errors while ensuring compliance with regulatory and payer rules.
You will lead the development and scaling of a cloud-native platform built on Kubernetes while contributing to the engineering roadmap. Additionally, you will mentor engineering teams and foster an environment of innovation and rapid development within an Agile framework.
The Site Reliability Engineer will build and maintain scalable AWS cloud infrastructure and Kubernetes clusters for the Order Execution team. They will also participate in on-call rotations, manage incident responses, and implement observability tools to ensure system reliability.
The Architect will design and scale enterprise-grade AI agents, autonomous workflows, and LLM-powered applications. They are responsible for defining reference architectures and integrating AI solutions across various business functions.
The role involves designing, implementing, and maintaining security platforms to protect cloud and on-premise infrastructure. Responsibilities also include threat monitoring, incident response, vulnerability management, and reporting security metrics to leadership.
The Staff Data Scientist will architect and lead the implementation of automated machine learning systems while bridging the gap between business strategy and production-ready data products. They will also act as a technical mentor to the team, establishing development standards and ensuring the reliability and scalability of ML infrastructure.
The Senior Data Scientist will translate complex business challenges into scalable data products and machine learning models. They will own the end-to-end model lifecycle, from exploratory analysis and feature engineering to production deployment and performance monitoring.
The Senior Software Engineer will design and maintain core components of AI/ML observability systems and backend infrastructure for large-scale data processing. They will also serve as a technical lead for implementing machine learning observability, data infrastructure, and model explainability capabilities.
Lead high-impact digital transformation and process improvement initiatives that leverage AI and automation to drive significant financial value. Manage cross-functional stakeholder engagement, technical documentation, and organizational readiness to ensure successful adoption of strategic solutions.
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The Lead Security Engineer will act as a subject matter expert for vulnerability and configuration management, conducting assessments and ensuring infrastructure security. They will collaborate with IT and DevOps teams to prioritize remediation, maintain security baselines, and provide detailed risk assessments.
The role involves administering and enhancing the ServiceNow platform while identifying opportunities to implement AI and automation to improve operational efficiency. You will collaborate with stakeholders to design, configure, and test solutions that streamline business processes and improve the user experience.
The Senior Cybersecurity Engineer will design and operate enterprise-scale discovery, governance, and lifecycle automation for non-human identities across hybrid and multi-cloud environments. This role involves collaborating with cross-functional teams to modernize authentication patterns and implement robust security controls for service accounts, API tokens, and AI agents.
The Senior Quality Systems Architect designs, develops, and supports enterprise-level GxP-regulated quality applications. They provide technical leadership, ensure regulatory compliance, and drive continuous improvement initiatives for system reliability and performance.
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