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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You will own, build, and scale your own startup in the Applied AI sector while receiving intensive coaching and support. You will iterate your product to achieve product-market fit and build essential sales and marketing functions.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
The Senior Product Design Engineer will bridge the gap between design and engineering by working directly in the codebase to ensure high-quality execution. You will lead impactful projects, collaborate with cross-functional teams, and help shape the design engineering discipline within the company.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists to optimize data infrastructure for scale, quality, and cost-efficiency.
You will own the end-to-end machine learning lifecycle, from research and model development to deployment and scaling in production environments. You will work directly with product teams to design algorithms for visibility, demand forecasting, and freight audit while ensuring system reliability and performance.
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You will build, maintain, and scale data scrapers and pipelines to collect financial data from various third-party sources. Additionally, you will perform technical investigations, conduct code reviews, and contribute to architectural improvements to reduce technical debt.
You will be responsible for planning, executing, and optimizing end-to-end CRM campaigns across multiple channels to drive player engagement and retention. This involves leveraging data insights for segmentation and collaborating with cross-functional teams to align campaigns with business objectives.
Design, build, and maintain production-grade React and Node.js applications while contributing to architecture and technical design decisions. Collaborate with engineering leadership to ensure system reliability, scalability, and performance within AWS environments.
The Data Analyst will support global data initiatives by analyzing and improving multilingual text classifiers and developing parsers. They will also translate key taxonomies and perform data cleaning using Excel and other analytical tools.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Senior Security Consultant will act as a trusted advisor to the Client Technology Platforms Delivery organization, defining security risks, controls, and guidance throughout the SDLC. They are responsible for performing threat modeling, risk assessments, and translating technical vulnerabilities into business risk terminology for stakeholders.
Lead the design, architecture, and development of native Windows desktop applications using modern frameworks like WinUI and C#. Collaborate with cross-functional teams to drive accessibility efforts and ensure high-quality, scalable feature releases.
Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms.
Design and build cloud-native, LLM-based, and agentic AI solutions while acting as a trusted technical advisor to clients. Lead the technical direction of engagements from discovery through delivery, including presales support and mentoring engineering teams.
Participants will engage in a self-paced, mentor-guided training program to learn Salesforce administration. Successful completion leads to the opportunity to take the Salesforce Administrator Certification Exam and potential full-time employment.
You will design, build, and maintain scalable cloud infrastructure while collaborating with the R&D team to streamline CI/CD pipelines. Additionally, you will partner with developers to optimize Ruby/Rails environments and support the infrastructure for emerging AI capabilities.
You will own the end-to-end development of slot games, including rendering, game logic, and backend integration with internal RGS systems. You will also be responsible for configuring game behavior based on math models and ensuring performance through automated testing.
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Design and develop scalable BI solutions and interactive dashboards to transform complex healthcare data into actionable insights. Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making for stakeholders.
Develop and optimize ML models from scratch while collaborating with cross-functional teams to deploy them into production. Establish experimentation roadmaps and maintain reproducible pipelines to ensure optimal model performance.
Design, build, and evolve production infrastructure on GCP using Compute Engine and Cloud Run. Automate manual processes and maintain CI/CD pipelines with GitLab CI and Terraform to improve system reliability and security.
Build and improve NLP and Generative AI models and the supporting infrastructure for the AgentIQ platform. Take ownership of data processing pipelines and collaborate with platform teams to deploy and monitor models in production.
The role involves the administration, operation, and tuning of distributed messaging platforms like Kafka and RabbitMQ. It also includes managing Apache Spark workloads and implementing governance, security, and monitoring practices for data environments.
Design, build, and maintain scalable APIs and backend systems to handle real-time data ingestion and normalization. Collaborate with product and data science teams to solve customer pain points and improve system architecture.
The role involves the administration, operation, and tuning of distributed messaging platforms and Spark workloads. It also requires implementing governance, security, and continuous monitoring for critical data environments.
![Smart Working Solutions is hiring for remote Tech Lead - Mobile Platform (Remote, Full-Time) [AS227] Europe](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
The Tech Lead will own and strengthen the mobile platform's technical foundations by mentoring a small team and defining engineering standards. They will also manage CI/CD pipelines, improve developer productivity, and ensure high-quality releases across the mobile application estate.
Lead and mentor the mobile platform team to define and uphold engineering standards while enabling product teams to deliver efficiently. Oversee mobile architecture, CI/CD pipelines, and platform-level observability to ensure high-quality, reliable mobile application releases.
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Lead and mentor the mobile platform team to ensure a reliable, high-quality foundation for product teams. Drive architectural decisions, CI/CD improvements, and engineering standards across the mobile application estate.
You will design and implement security controls across mobile, backend, and web platforms while embedding secure coding practices throughout the development lifecycle. Additionally, you will conduct threat modelling, manage vulnerabilities, and provide expertise on infrastructure security and DevSecOps.
You will design and implement security controls across mobile, backend, and web platforms while embedding secure coding practices throughout the development lifecycle. Additionally, you will conduct threat modelling, risk assessments, and contribute to DevSecOps practices to strengthen the organization's security posture.
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.
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