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 Sales Engineer will lead product demos, technical deep-dives, and integration scoping for prospects across various logistics and fintech sectors. They are responsible for managing technical evaluations, handling technical objections, and partnering with engineering to ensure successful implementation.
You will act as the technical authority for customers and help build the Sales Engineering function from the ground up. You will work directly with leadership to influence product and API direction.
The Coder Inpatient is responsible for reviewing medical records to accurately assign diagnostic and procedural codes for reimbursement and statistical analysis. They must maintain compliance with regulatory standards while abstracting clinical data into various software systems.
The Senior Data Architect will lead the design of enterprise data architectures within a complex healthcare environment, focusing on cloud platforms and interoperability. They will define data models, governance frameworks, and integration solutions while partnering with engineering and business teams to align data strategy with organizational goals.
You will design, implement, and maintain the front end and APIs for the Customer Experience Platform. This includes managing security systems, customer accounts, camera diagnostics, and the help center.
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The role involves deploying commercial-grade AI products and integrating breakthrough innovations into the core AI model suite. You will also be responsible for engineering scalable ML systems and elevating the platform's standards for monitoring and automated testing.
The Senior Product Security Engineer will embed security into the development lifecycle by designing AI-powered security agents and managing security tooling across CI/CD pipelines. They will also conduct threat modeling, perform security assessments, and partner with engineering teams to implement secure-by-default frameworks.
The incumbent will lead key projects focused on fraud detection, risk analysis, and loss mitigation to optimize business processes. They will collaborate with cross-functional teams to design, execute, and monitor risk control strategies across the customer lifecycle.
You will partner with Account Executives to drive deal strategy and deliver high-impact product demonstrations to Public Sector customers. Additionally, you will act as a technical advisor and collaborate with cross-functional teams to ensure customer needs are met and strategic growth is achieved.
The Senior Security Engineer will own the product security lifecycle, including threat modeling, secure code reviews, and managing the bug bounty program. They will partner with engineering teams to implement secure-by-default patterns and improve the secure software development lifecycle.
The Senior AI Platform Engineer will architect and scale the company's AI Gateway infrastructure while driving reliability and incident response for AI-related services. They will also design cross-platform solutions, evaluate AI developer tooling, and manage self-hosted model serving infrastructure.
Architect, scale, and maintain the AI Gateway infrastructure while driving reliability and incident response for AI-driven services. Collaborate cross-functionally to design platform-wide solutions and support the lifecycle of self-hosted and API-based LLM models.
You will work as a full-stack engineer to design and implement scalable features, APIs, and agentic interfaces for the product onboarding and trial experience. You will collaborate with product managers, designers, and solution teams to ensure seamless integration and effective data evolution strategies.
You will work as a full-stack engineer to design and implement scalable features and APIs for the product onboarding and trial experience. You will collaborate with product managers and designers to build agentic interfaces and ensure seamless integration across cloud and Kibana onboarding flows.
You will work as a full stack engineer to design and implement scalable features for the product onboarding and trial experience. You will collaborate with product managers and designers to build agentic interfaces and integrate cloud and Kibana onboarding flows.
The engineer will work as a full-stack developer to build and scale product onboarding and trial experiences for Elastic Cloud. They will collaborate with product managers and designers to implement agentic interfaces and manage data evolution strategies.
The Automation Engineer will design, implement, and maintain automated workflows to eliminate manual tasks and improve operational reliability. This role involves building robust pipelines using Apache Airflow, managing system integrations, and ensuring data integrity through automated validation and alerting.
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Lead end-to-end analytics workstreams and build scalable Power BI solutions to help clients realize measurable value from their data. Collaborate with stakeholders to translate business needs into actionable analytics products while guiding technical delivery and best practices.
The Onshore Technical Lead will support client engagements within the Life Insurance and Annuity domain by collaborating with onshore and offshore teams. The role involves driving process improvements, automation initiatives, and ensuring successful project execution.
The Benefits Realization Architect designs and executes analytics strategies to measure the financial impact of digital initiatives. They develop executive-level dashboards and collaborate with financial and operational teams to drive data-driven decision-making.
The Senior Developer - Software Tester is responsible for designing test strategies, creating test automation frameworks, and executing complex functional and automation testing. They will collaborate with scrum teams and DevOps to ensure high code quality and provide technical solutions for testing challenges.
Design physical objects for 3D printing using open-source CAD software while having your workflow captured to train AI models. You will also be responsible for writing and executing Python validation scripts to support your design process.
You will be responsible for the organic growth of clients by developing search strategies across Google and AI-driven platforms like ChatGPT and Perplexity. Additionally, you will oversee content quality, manage lead generation roadmaps, and track performance metrics to drive business results.
You will architect and implement scalable backend services while embedding security at every layer of the infrastructure. Additionally, you will collaborate with cross-functional teams to design APIs and participate in the engineering hiring process.
The Senior Data Analyst will research product hypotheses to optimize key metrics like ROAS and churn rate while collaborating with cross-functional teams to drive product innovation. You will also own business metrics for advertisers and retailers and provide analytical support during the sales process.
You will design, build, and maintain the end-to-end automation layer for the influencer and creator marketing program. This includes managing workflows for discovery, onboarding, content tracking, reporting, and payments across various platforms.
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You will design and build robust, scalable backend services in Node.js and NestJS while ensuring high performance and financial correctness. You will also own production deployments, mentor other engineers, and make critical architectural decisions for the platform.
You will collaborate with customers to understand technical requirements, map data, and ensure seamless integration workflows. Additionally, you will provide technical support, conduct end-user training, and maintain comprehensive technical documentation.
The Product Engineer will architect and maintain scalable, user-facing features using Python and modern frontend frameworks to bridge backend simulation capabilities with intuitive interfaces. Responsibilities include implementing automated testing, optimizing high-performance backend services, and managing complex data layers to ensure system reliability.
Design, build, and operate high-load distributed backend services that power the company's machine learning infrastructure. Partner with ML and product teams to turn their needs into reliable, reusable platform capabilities.
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