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 role involves reviewing OASIS assessments and ICD-10 coding to ensure clinical accuracy, regulatory compliance, and documentation integrity. The nurse will collaborate with clinical teams to identify documentation gaps and support quality improvement initiatives.
The Senior Analytics Engineer will build complex data infrastructure using dbt and Snowflake while implementing scalable ELT pipelines and governance frameworks. They will also provide technical guidance, conduct code reviews, and mentor junior team members to ensure high-quality data solutions.
The Technical Architect will lead the design and implementation of complex data architectures and AI-enhanced analytics solutions for clients. They will provide technical leadership, conduct rigorous code reviews, and ensure the delivery of high-quality, scalable data systems.
You will architect, design, and develop lower-level functionality for the Oura iOS app, focusing on Bluetooth connectivity and hardware-software integration. You will collaborate with firmware and platform teams to ensure performant, maintainable code and improve the overall developer experience.
Define end-to-end architecture for AEM-based retail platforms and design scalable digital experiences. Lead integration efforts between AEM and enterprise systems like eCommerce, PIM, and CRM platforms.
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The role involves managing large-scale Oracle to Snowflake migrations, including dbt development, data transformation, and pipeline validation. Responsibilities also include designing Snowflake architecture, defining CI/CD standards, and leading offshore delivery teams for production cutovers.
You will design and develop AI agent workflows and LLM-powered application components while collaborating with engineers on production systems. Additionally, you will define evaluation metrics, run benchmarks, and contribute to backend services and internal tools.
You will contribute to the design and execution of experiments in reasoning model training and post-training alignment within financial contexts. Additionally, you will synthesize academic literature and collaborate with engineering teams to translate research findings into production systems.
Independently manage and administer a caseload of retirement plans while ensuring compliance with ERISA regulations. Perform complex tasks such as compliance testing, annual valuations, and the preparation of Form 5500s.
Define and lead the end-to-end solution architecture for D365 Field Service implementations. Collaborate with stakeholders to translate business requirements into scalable technical solutions while guiding development teams.
The Engineering Manager will lead, coach, and grow the Red Team while defining the strategic roadmap for adversary simulation and capability development. They will drive cross-functional remediation outcomes and partner with engineering teams to translate offensive findings into actionable risk reduction.
The AI Sales Executive is responsible for driving new business growth and expanding existing client relationships by delivering innovative AI-driven solutions to engineering and manufacturing organizations. This role involves managing the full sales cycle, from prospecting and discovery to proposal development and closing, while acting as a trusted advisor to clients.
![Smart Working Solutions is hiring for remote Senior AWS DevOps Engineer (Remote, Full-Time), PK [AS232]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Design, build, and maintain scalable AWS infrastructure while managing Infrastructure-as-Code and CI/CD pipelines. Collaborate with engineering teams to improve system reliability, observability, and developer experience.
You will act as a trusted advisor on data, leading the analysis of complex datasets to drive game growth and player engagement. You will also collaborate with cross-functional teams to implement data-driven strategies and maintain automated dashboards for critical metrics.
Build a full-stack, AI-native sensor fusion middleware layer for robotics applications. Lead the company from inception to early traction by executing a winning go-to-market strategy.
You will architect, build, and maintain the HiveMQ platform software for massively-scalable global IoT deployments. Additionally, you will develop performant algorithms, improve test coverage, and identify performance bottlenecks using state-of-the-art tools.
You will design, build, and operate a highly resilient and secure Azure cloud platform to support advanced AI workloads in a healthcare environment. The role involves managing GPU-based compute, ensuring regulatory compliance, and optimizing infrastructure for performance and cost.
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You will manage the day-to-day operations of a hyperscaler's cloud backend, focusing on backend tools and services. This involves hands-on console work, incident management, and driving end-to-end automation to launch new features.
The manager will lead a team of cloud engineers to govern, secure, and optimize multi-cloud environments while managing day-to-day operations and backlog execution. They will also serve as the primary point of contact for governance requests and ensure compliance with regulatory frameworks like FedRAMP.
The role involves improving the performance of business-critical operational applications and managing the development of OT infrastructure. You will also provide technical mentorship to engineers and oversee the approval of operational application upgrades.
The OT Engineer is responsible for the performance improvement, monitoring, and strategic asset management of business-critical operational applications. They will also act as a design authority for OT infrastructure and mentor technical engineers to ensure robust support services.
The Presales Solutions Engineer will act as a technical advisor to support account teams and customers by designing tailored network infrastructure solutions. They are responsible for conducting product training, managing the solution pipeline, and identifying technology opportunities across data center and cloud environments.
Collaborate with a team of design engineers to develop mechanical products and systems that meet customer requirements. Manage engineering projects, conduct research, and improve manufacturing processes to ensure quality and cost-effectiveness.
Design, build, and maintain scalable AWS infrastructure while implementing CI/CD pipelines and platform tooling. Collaborate with engineering teams to improve system reliability, observability, and developer experience.
Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines handling petabyte-scale telemetry. Drive the development of ML-driven data routing and transformation engines while mentoring engineering teams to ensure system performance and reliability.
The engineer will support the installation, commissioning, and maintenance of power grid control systems including HMI, MicroSCADA, and PLC solutions. They will perform fault tracing, system corrections, and provide technical support to customers and internal teams.
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You will perform as a subject matter expert in Microsoft Purview and Collibra to develop data-driven solutions and intellectual property. Additionally, you will convert complex data into clear dashboards and monitor key performance indicators to support organizational decision-making.
Design and develop new full-stack features while collaborating with product managers and designers. Participate in technical architecture decisions and ensure code quality through automated testing and reviews.
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 be responsible for designing, developing, and optimizing cloud-based data processing solutions within a team. This includes analyzing client requirements to deliver effective business solutions and maintaining technical documentation.
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