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 machine learning and deep learning models to solve complex engineering problems in the semiconductor space. Collaborate with multidisciplinary teams to deploy AI solutions and ensure model robustness through evaluation and monitoring.
The engineer will be responsible for executing API deployments on MuleSoft and Apigee platforms while managing various environments. They will also perform post-deployment validation, monitor logs, and provide troubleshooting support for production incidents.
The role involves developing and maintaining scalable, interactive, and accessible web applications using React and modern frontend technologies. You will collaborate with cross-functional teams to translate complex data into intuitive dashboards while ensuring high code quality and technical feasibility.
Plan and execute continuous penetration tests across office networks, cloud infrastructure, and applications. Collaborate with engineering squads to verify security fixes and provide actionable reports to improve the overall security posture.
The specialist will identify and develop strategic partnerships within the crypto and blockchain ecosystem to drive platform growth. They will also design growth strategies, collaborate on marketing campaigns, and represent the company at industry events.
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![Smart Working Solutions is hiring for remote Senior Security Engineer (Remote, Full-Time) [AS219] PK](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
The Senior Security Engineer will design and implement security controls across mobile, backend, and web platforms while embedding secure practices into the development lifecycle. They will also conduct threat modelling, risk assessments, and collaborate with engineering teams to ensure systems are secure by design.
The Value Based Coder II is responsible for reviewing patient medical records to identify and validate risk-adjusting conditions and HCC coding opportunities. This role also involves developing educational materials for providers to improve clinical documentation and ensuring compliance with federal and coding guidelines.
You will build and evolve systems that provision, secure, and observe agent environments while designing reliable abstractions for queues and background tasks. You will work closely with product engineers to define infrastructure patterns and ensure the stability of runtime environments.
The Data Science Manager will lead advanced analytics initiatives, including the design and implementation of predictive models to optimize customer journeys. They will also collaborate with cross-functional stakeholders to define data-driven strategies and mentor a team of data scientists.
The Product Owner is responsible for defining and delivering internal analytics solutions, including dashboards and curated data sets, to meet business needs. They will manage the product roadmap, collaborate with engineering teams, and drive user adoption through training and governed self-service practices.
You will architect, implement, and refine cutting-edge multiplayer gameplay systems while collaborating with cross-functional teams to deliver robust networked experiences. Your role involves optimizing performance and resolving intricate technical hurdles within the Unreal Engine environment.
The Senior EBS Support Engineer provides remote-based support for mission-critical EBS applications, including troubleshooting and developing fixes for complex environments. The role also involves configuring and customizing Oracle ASCP modules while collaborating with cross-functional teams to ensure successful project delivery.
You will act as the bridge between design vision and technical execution, managing a multi-product ecosystem and scaling a robust design system. Additionally, you will lead a distributed pool of UI engineers to ensure high-quality, accessible, and high-performing interfaces.
The role involves executing local sales strategies to expand the company's digital footprint and identifying new business opportunities within industrial and commercial sectors. Additionally, the candidate will conduct technical presentations, manage channel partners, and maintain the CRM pipeline to achieve revenue targets.
You will transform raw engineering data into structured, high-fidelity datasets to train and evaluate AI systems for design and manufacturing. This involves building mechanical components in CAD, creating labeling workflows, and collaborating with research teams to define data quality standards.
The Solution Architect will lead pre-sales activities, develop solution concepts, and manage end-to-end D365 F&O project implementations. They will also oversee requirements gathering, conduct client design reviews, and provide leadership to a team of functional and technical consultants.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
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You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
Develop, implement, and optimize process control strategies for oil and gas production facilities while maintaining essential documentation like P&IDs and control narratives. Act as a technical liaison between process and instrumentation teams to ensure safe facility operations, commissioning, and compliance with safety standards.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
The Solutions Engineer partners with the sales team to understand customer requirements and propose solutions using the Birdeye platform. Responsibilities include conducting product demonstrations, managing the technical evaluation stage, and collaborating with internal teams to craft value propositions.
Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics while building and optimizing ETL/ELT processes. Develop and enhance Power BI dashboards, reports, and semantic models to deliver meaningful insights.
You will manage the migration of customer Atlassian instances from server/data center environments to the cloud. Additionally, you will perform technical maintenance, automate workflows using scripts, and provide expert consulting to clients.
The Digital Full Stack Engineer will develop and deliver end-to-end features using React, TypeScript, and .NET/C# while ensuring high engineering standards. They will also contribute to CI/CD pipelines, implement observability practices, and collaborate with cross-functional teams to maintain scalable applications.
The role involves end-to-end administration of Microsoft Intune and Active Directory to manage enterprise infrastructure and endpoint security. You will also be responsible for troubleshooting complex system issues, maintaining security baselines, and collaborating with stakeholders to ensure system reliability.
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Design, build, and deploy end-to-end predictive models while managing the full machine learning lifecycle. Collaborate with domain experts to translate research literature into production-grade systems that handle complex biological data.
The Senior Machine Learning Engineer will lead technical initiatives, mentor team members, and design end-to-end predictive models for biological data. They are responsible for the full machine learning lifecycle, from research and prototyping to production deployment and monitoring.
The Senior Software Engineer will design, develop, and maintain full-stack software applications while collaborating with cross-functional teams. They are also responsible for mentoring junior developers, conducting code reviews, and participating in project planning and estimation.
You will take full ownership of the platform infrastructure, including architectural design, scaling, and CI/CD automation across multi-cloud environments. Additionally, you will manage enterprise deployment architecture, security, and observability while maintaining technical relationships with customers.
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