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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Design, build, and maintain scalable back-end systems and APIs to support web and mobile applications for the Connect learning solution. Collaborate with cross-functional teams to translate product requirements into high-quality software while ensuring system performance and reliability.
Lead the post-sale technical strategy and execution for strategic accounts to accelerate the adoption of Databricks workloads. Act as the primary technical lead to drive onboarding, enablement, and healthy consumption of the Data Intelligence Platform.
Partner with sales to design and present AI-powered technical solutions and real-world data strategies for life sciences clients. Act as a trusted advisor to bridge technical AI expertise with business strategy to drive revenue growth and improve patient outcomes.
Build, operate, and improve cloud infrastructure on AWS to support over 150 client organizations using 100% automation. Responsibilities include hardening security, managing on-call rotations, and integrating AI-driven workflows into the SDLC.
Oversee the development of financial models and analyses for proposed payer contract rates to support negotiations. Partner with the Health Plan Relations team to provide actionable insights and ensure the integrity of billing data.
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Design and build scalable automation frameworks and tools using Playwright, C#, and TypeScript to enhance software quality. Partner with cross-functional teams to integrate automated testing into CI/CD pipelines and leverage AI techniques for test optimization.
Serve as the senior technical authority for defining and governing end-to-end solution architectures for the Dotmatics Luma platform. Bridge the gap between digital scientific informatics and physical lab execution environments to ensure scalable and secure lab orchestration.
Design, develop, and operationalize enterprise AI solutions including conversational AI and AI agents to automate manufacturing and business workflows. Establish enterprise AI standards and reusable patterns to scale AI capabilities across the organization.
Design and develop data pipelines, marts, and schemas to support data warehousing and analytical requirements. Troubleshoot production data issues and collaborate with business users and IT groups to implement technical solutions.
Own the vision and roadmap for Orum's data and ML products to turn behavioral datasets into customer value. Partner with engineering to prototype models and translate data signals into user-facing features.
![FurtherAI is hiring for remote Senior Software Engineer - Backend/Fullstack [India]](/assets/47e5c3f2-1523-4eac-869a-362fc851b31e.png){kind=small}
Build and scale the core backend product using Python to ensure high performance and reliability. Collaborate with founders to define technical direction and maintain extreme ownership of the product stack.
Design and build high-throughput raster and terrain processing pipelines for flood mapping and hydrologic modeling. Develop and maintain cloud-native geospatial data pipelines and AWS-based infrastructure to support national-scale scientific computing.
Develop and maintain production services by building intuitive front-end experiences and scalable backend microservices. Collaborate with product and design teams to solve complex problems and ensure high engineering quality through code reviews.
Provide high-level research and operational support to an entrepreneur and investor across multiple companies. This includes analyzing investment opportunities, reviewing legal documents, and leveraging AI tools to optimize business workflows.
Design and build reusable components and ETL pipelines to support ML model calibration and data ingestion. Model raw data into clean datasets and maintain documentation for data flow and architectural vision.
Design and develop scalable enterprise networking, data center, and security solutions for clients. Lead the technical sales and delivery lifecycle, translating business requirements into high-level and low-level technical architectures.
Lead the global strategy for safe and efficient AI adoption across all business units while managing AI, IT, and Security engineering teams. Establish AI security blueprints, governance frameworks, and FinOps structures to optimize spend and mitigate corporate risk.
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Own technical problems end-to-end, acting as an individual contributor, architect, and lead. Develop and maintain high-performance object storage infrastructure for AI and analytics.
The role focuses on identifying and responding to security vulnerabilities through penetration testing, code reviews, and design reviews. Additionally, the engineer will build internal tools to automate security testing and secure AI-driven financial features.
Design and implement scalable, high-availability software solutions for IT Operations product suites using Java and Kotlin. Responsible for committing high-quality code and implementing design patterns to solve enterprise-level software challenges.
Build and scale the foundations for AI Agents, focusing on reliability, performance, and seamless integrations. Collaborate on end-to-end solutions and influence architectural decisions within an AI-native engineering culture.
The role involves designing high-level technical solutions for private cellular and edge router platforms to drive business value for customers. It requires translating business requirements into actionable scopes of work and acting as a trusted technical advisor to align OEM partners and internal teams.
Design, create, and maintain sustainable reporting solutions and analytical insights to drive data-driven decision making for the Medicaid segment. Partner with business leaders to provide high-quality reporting on financial and clinical outcomes, network performance, and claims processing.
Architect, implement, and optimize production-grade GPU solutions for the cuEST quantum chemistry library. Collaborate with the broader community and internal teams to drive the adoption and development of GPU-accelerated electronic structure computations.
The role involves designing and developing custom software solutions and managing infrastructure provisioning through code and APIs. You will collaborate with cross-functional teams to maintain CI/CD pipelines and ensure seamless integration of infrastructure components.
Lead cloud operations excellence by managing monitoring, observability, and infrastructure as code across AWS and Azure. Collaborate with cross-functional teams to design scalable, secure, and resilient cloud architectures and lead incident response efforts.
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Develop and implement Infrastructure as Code solutions to automate cloud resource management and deployment. Collaborate with development teams to integrate CI/CD pipelines and ensure high system availability and security.
Lead the design and development of scalable software solutions to enable real-time health data access for members. Drive high-impact projects from conception to delivery while providing technical leadership across cross-functional teams.
Build and maintain deployment infrastructure for data engineering workflows using Airflow and Flink. Own and operate core storage technologies including DynamoDB and RDS to ensure platform reliability and scalability.
Design, build, and improve machine learning solutions in a cloud environment, moving from prototype to production. The role involves exploring data, running experiments, and implementing reliable, reproducible workflows for real business problems.
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