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 developer will join a multinational logistics leader to maintain and develop COBOL-based systems. Responsibilities include digging into existing code for answers and collaborating with global teams across US and PH time zones.
Design and develop robust, scalable APIs for payment systems, reconciliation, and fiscal automation. Collaborate within a multidisciplinary squad to implement high-concurrency workflows and integrate critical external business services.
Lead and mentor a team of cloud security engineers while driving the end-to-end planning and delivery of security research projects. Develop scalable security controls and conduct advanced threat modeling across major cloud ecosystems to identify and mitigate architectural vulnerabilities.
Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.
Perform strategic qualitative and quantitative analyses to derive actionable insights for pharmaceutical and healthcare clients. Collaborate with project managers and business intelligence units to create reports, presentations, and project deliverables.
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Support daily IT manufacturing operations and participate in the deployment and maintenance of MES systems. Collaborate with cross-functional teams to ensure system availability, reliability, and compliance with documentation standards.
The consultant will be responsible for deployments, integrations, and evolutionary maintenance of the SailPoint ISC tool. They will also define processes and design solutions for integrating applications and systems with the product.
Lead technical presales efforts by translating complex cloud architectures into clear client-facing solutions. Oversee the design and implementation of scalable, secure, and standardized cloud infrastructure projects.
You will architect and guide the development of the Solver network, which serves as the core infrastructure for NEAR Intents. This involves designing execution strategies, ensuring high-performance scalability, and leading technical excellence across the engineering team.
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
You will lead and develop a multidisciplinary data engineering team while setting the technical direction for the platform that processes billions of payment events. You will also collaborate with cross-functional teams to ensure data products are reliable, scalable, and compliant with industry standards.
Develop and maintain backends and tooling for internal ML customers, including core pipelines for offline and real-time production systems. Collaborate with ML researchers to optimize experimental pipelines and maintain inference software infrastructure.
You will act as a technical lead for the backend team, driving architectural decisions and helping to scale the platform. You will collaborate cross-functionally to build robust, scalable features while mentoring team members.
You will lead the design of modern, scalable data architectures and manage technical presales activities for key tenders. Additionally, you will act as a bridge between the presales and delivery teams while validating new technologies through Proofs of Concept.
The AI Scientist leads the design, development, and evaluation of speech language models for automated scoring and real-time feedback systems. They collaborate with cross-functional teams to integrate these models into learner-facing and hiring-facing applications while ensuring fairness and scalability.
Evaluate and analyze LLM performance while architecting and building inference and training pipelines. You will contribute to hands-on design, model training, and deployment strategies within a technical greenfield project.
The DevOps Engineer will build and evolve CI/CD pipelines to accelerate software delivery while automating the deployment and maintenance of Azure infrastructure. They are responsible for managing and optimizing cloud services to ensure security, availability, scalability, and operational efficiency.
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You will be responsible for the full software development lifecycle, including designing, implementing, and maintaining scalable features using Kotlin and Spring Boot. Additionally, you will integrate AI coding agents into your workflow to enhance development efficiency and collaborate with the team on frontend and backend tasks.
The AI Software QA Engineer is responsible for testing, validating, and ensuring the quality of AI-enabled systems and backend APIs. They will design and execute automated test cases while collaborating with developers and AI engineers in an agile environment.
You will design modern, scalable data architectures and lead technical presales efforts by translating complex technology into business value. Additionally, you will act as a bridge between the presales and delivery teams while exploring emerging trends like Generative AI.
The developer will participate in mainframe migration projects within the payment systems area of a banking entity. Responsibilities include developing and maintaining COBOL applications, managing DB2 databases, and performing technical analysis.
You will design Cloud and hybrid architectures while leading technical pre-sales efforts, including scope definition and estimations. Additionally, you will act as the primary technical interlocutor for clients and establish platform standards and best practices.
Provide technical advice and support to various development teams during project initiation, peak workloads, and innovation initiatives. Participate in technical design, architectural decision-making, and the development of proofs of concept.
You will take ownership of Android development, choosing the right technologies and approaches to meet long-term product needs. You will also lead the development of complex features, conduct code reviews, and mentor team members to ensure high engineering standards.
You will take end-to-end ownership of complex AI and data-driven projects, translating requirements into actionable plans from initial idea to go-live. You will steer cross-functional teams and bridge the gap between engineering, business, and stakeholders to ensure measurable value.
Lead presales activities for SaaS services and digital solutions by translating client needs into value-driven technical proposals. Collaborate with delivery and transformation teams to design innovative solutions using cloud, AI, and emerging technologies.
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Contributors will perform AI data annotation, evaluation, and prompt creation to improve the accuracy and inclusivity of AI systems. Tasks involve labeling text, images, or audio and testing large language models based on specific project requirements.
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
You will build new features within a service-oriented architecture and collaborate with cross-functional teams to design elegant systems. Additionally, you will be responsible for mentoring other engineers and articulating a clear technical vision for the team.
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