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 and develop robust game engine logic and RNG systems for real-money gaming applications. Manage real-time gameplay systems, bet lifecycles, and transaction systems while ensuring high performance and reliability.
You will be responsible for building and maintaining production ML services within the AdTech domain, ensuring model stability and operational performance. Additionally, you will manage the ML lifecycle, including orchestration, deployment strategies, and observability in a GCP-based containerized environment.
You will be responsible for maintaining system availability, reliability, and efficiency for a complex architecture of approximately 70 servers. This includes automating infrastructure, performing error analysis, and participating in on-call rotations to ensure high system uptime.
The Scheduler will develop and implement project control processes while creating and maintaining project schedules using advanced tools. They will also analyze project data to identify trends and risks, ensuring adherence to SLAs and project timelines.
You will design and maintain data pipelines, optimize dashboards for project metrics, and automate workflows using Microsoft Power Automate. Additionally, you will manage GIS systems, ensure data quality, and provide training and support to stakeholders.
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Design, train, and optimize machine learning and deep learning models for advertising and ranking systems. Collaborate with engineering and business teams to translate objectives into effective ML solutions while mentoring other data scientists.
The Principal Systems Engineer will lead end-to-end spacecraft systems engineering, focusing on avionics integration, requirements development, and system architecture design. The role involves driving cross-functional integration across subsystems and supporting the full lifecycle of satellite programs from concept to operations.
Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance and accuracy of large language models.
Contributors will annotate and label text, images, or audio data to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will perform task-based projects including data annotation, evaluation, and prompt creation to improve AI systems. You will work on a flexible schedule to help train and refine human-centered AI models.
You will build production-ready AI backends, RAG pipelines, and agentic workflows to automate complex business processes. Additionally, you will collaborate with international cross-functional teams to deliver predictive models and computer vision solutions.
You will be responsible for designing, implementing, and refactoring financial software functionalities while maintaining high code quality. Additionally, you will collaborate with the MR Facturation team to manage technical decisions and maintain CI/CD pipelines and cloud infrastructure.
Develop, maintain, and support CI/CD pipelines and automation across both cloud and on-premise environments. Collaborate with DevOps teams to provision infrastructure, automate application deployments, and improve security and monitoring.
The Test Engineer will design, implement, and maintain automated test suites for APIs, UIs, and integrations within containerized environments. They will also collaborate with development teams to integrate tests into CI/CD pipelines and perform root-cause analysis on failures.
The Principal Programmer will act as a lead across complex clinical studies, taking ownership of deliverables and collaborating with biostatisticians to translate analysis plans into robust R programs. They will also serve as a technical leader, mentoring staff and driving the modernization of programming approaches within a regulated environment.
You will collaborate with the client team to develop, test, and optimize software solutions. Additionally, you will be responsible for maintaining code quality and security while participating in technical discussions.
The Senior Sales Engineer will partner with Account Executives to execute account plans and lead high-impact customer engagements including workshops and architecture sessions. They are responsible for driving technical win plans, managing proof of concepts, and translating complex security requirements into actionable solution designs.
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You will build and maintain integrations between the epilot platform and external systems like ERPs and third-party APIs. You will also design event-driven data pipelines and manage cloud infrastructure using Infrastructure as Code.
The Sales & GTM Engineer will support sales teams by delivering technical demos and POCs while creating onboarding materials and integration guides. They will act as a bridge between engineering, product, and sales to ensure successful API adoption and customer satisfaction.
You will support the development and optimization of AI solutions, including prompt engineering and the creation of automation agents. Additionally, you will facilitate AI enablement by developing training materials and ensuring compliance with technical and ethical standards.
![Smart Working Solutions is hiring for remote React & Python & AI - Senior Full Stack Engineer (Remote, Full-Time) [AS216]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Design and build full-stack AI-powered applications by integrating modern frontend interfaces with Python-based backend services. Collaborate with stakeholders and the Head of AI to prototype solutions, manage ETL pipelines, and ensure secure, scalable deployments.
The Reporting & Analytics Delivery Lead will design the target architecture by integrating SAP BW/BW4HANA, Power BI, and cloud platforms like Snowflake and Databricks. They will also define business requirements, oversee data quality dashboards, and ensure alignment between IT and business stakeholders.
You will lead technical and organizational teams to convert business needs into robust, scalable architectures for the banking sector. You will ensure solutions align with corporate standards, regulatory requirements, and security principles while collaborating with development and product teams.
Engineers will design and implement core platform architecture to support modern hybrid cloud infrastructure and container runtimes. They are responsible for defining infrastructure provisioning, operating Kubernetes platforms, and building automated, self-service capabilities to reduce operational complexity.
The platform engineer designs and builds an internal developer platform to standardize application deployment and operations. They collaborate with infrastructure and application teams to provide scalable services including container orchestration, deployment pipelines, and observability.
The Infrastructure Engineer is responsible for designing, building, and operating the foundational infrastructure that powers the company’s technology platform. This includes managing compute, storage, networking, and container infrastructure across both data centers and hybrid cloud environments.
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You will conduct jobsite observations to capture expert knowledge and identify opportunities for technology intervention. Additionally, you will coach field teams on adopting AI-assisted workflows and provide strategic insights to inform product development.
The role involves conducting jobsite shadows to capture expert knowledge and identify workflow friction to inform AI product development. Additionally, the lead will coach field teams on adopting AI-assisted tools and maintain a deep understanding of the construction technology landscape.
You will conduct jobsite shadows to capture expert knowledge and identify opportunities for technology intervention. Additionally, you will coach field teams on adopting AI-assisted workflows and provide strategic insights to the product team.
You will conduct jobsite shadows to capture expert knowledge and identify friction points to inform product development. Additionally, you will coach field teams on adopting AI-assisted workflows and evaluate emerging construction technologies for practical application.
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