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 execute software development workflows leveraging AI agents for various tasks while building and improving internal tools and automation layers that enable these agents to operate effectively. The role involves end-to-end development, rigorous Git ownership, terminal-first execution, and managing secure developer operations across applications and infrastructure.
The role involves building and maintaining the contract and service stack that defines insurance coverage, pricing, and contractualization for members across multiple countries. This includes powering self-serve subscription flows and managing contract lifecycles while ensuring legal compliance and responsible consumption.
The primary duties involve preparing and submitting all billing and invoicing, inputting accounting data, and preparing and reconciling bank deposits and cash. Responsibilities also include recording AP/AR transactions, maintaining payment records, and verifying account discrepancies.
![Smart Working Solutions is hiring for remote Machine Learning Engineer (Mid/Senior) (Remote, Full-Time) [AS221]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
The Machine Learning Engineer will be responsible for driving the development and integration of AI capabilities by building end-to-end ML solutions, from data modeling through to system deployment. Key tasks include automating complex processes, translating business problems into scalable ML solutions, and promoting machine learning best practices across the organization.
The role involves designing, building, and maintaining scalable backend services and event-driven systems primarily using Go, Kafka, and Temporal within containerized environments. Responsibilities also include driving architectural decisions, owning code in production, and collaborating cross-functionally to deliver high-impact solutions.
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The role involves various annotation tasks such as audio/video/image/sentence/word validation, categorization, content creation, correction, evaluation, and localization. Candidates will be responsible for ensuring accuracy in these data processing activities.
The role involves building and managing data integration and targeting cells in deployed environments, developing tactical mission networks that fuse various data sources for real-time decision-making. Responsibilities also include building user experiences, applying advanced analytics, and automating workflows to accelerate engagement cycles.
The role involves working closely with a team of CTOs, Engineering, and Product professionals to overcome challenges in designing and building state-of-the-art products. Responsibilities include taking challenges, providing optimized solutions, and executing them.
This role involves leading the technical design and architecture for a Dynamics 365 F&SCM implementation, ensuring solutions are scalable, secure, and adhere to Microsoft best practices. Key duties include defining solution architecture, governing integrations, providing hands-on guidance in X++ and extensions, and overseeing customisations and third-party integrations.
The main objective is to develop, adjust, and deliver engaging AI enablement training sessions for diverse business audiences across various industries. This involves clearly communicating complex AI concepts and facilitating practical exercises applying AI tools to real-world business scenarios.
The role involves taking full ownership of end-to-end execution for major projects with strategic partners, working hands-on to deliver high-impact solutions. This includes collaborating daily with customer teams on technical architectures, product features, and building full-scale integrations.
The role involves providing administrative support to the executive team, managing schedules, coordinating virtual meetings, and handling correspondence to ensure the smooth operation of the virtual office. Responsibilities also include supporting HR tasks like recruitment and assisting with onboarding new team members.
The role involves mastering fundamental performance testing and tuning tasks before progressing to designing and implementing intelligent test strategies using LLMs, ML models, and AI agents. Additionally, the engineer will build AI-driven tools for automated anomaly detection and bottleneck identification from complex performance data.
The engineer will join the Application team responsible for delivering core product functionality across the Frontend, CLI, API, billing, security, and integrations. This involves cross-team collaboration on data models and microservices to create groundbreaking technology for the machine learning ecosystem.
The role involves extensive ABAP development experience in SAP ECC and S/4 HANA, focusing on modern techniques like ABAP on HANA, AMDP, and CDS views. Responsibilities include developing applications, integrating SAP systems with external applications, and enhancing standard SAP functionality.
The role involves designing, implementing, and maintaining Salesforce Commerce Cloud backend functionalities, including business logic, customizations, and extending the Storefront Reference Architecture (SFRA). Key duties also include developing third-party integrations, optimizing performance, ensuring security compliance, and conducting code reviews.
The Lead Network & Cloud Engineer acts as the senior technical authority, responsible for the design, optimization, security, and resilient operation of the integrated Cisco Meraki and Microsoft Azure hybrid network environment. This role involves serving as the final escalation point for complex issues, leading advanced implementation efforts, and providing expert guidance on architecture and security strategies like zero-trust.
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The Tech Lead will own the technical direction of the Signals platform, setting the vision, making architecture decisions, and writing code while leading a small team of engineers and QA. Responsibilities include driving execution, ensuring production reliability, and translating business problems into a technical roadmap through collaboration with product and data stakeholders.
The engineer will provide coherent distributed middleware, connecting software components and applications, while interacting with the development team to analyze requirements and implement middleware architecture. Responsibilities include developing configurations, identifying innovative technologies for updates, creating documentation, and defining hardware requirements with infrastructure teams.
The Director will own the product strategy and roadmap for Finance & Risk Modeling efforts, partnering closely with customers to understand their workflows and decision-making processes. They will also lead rapid prototyping and 0→1 product discovery across new AI/LQM use cases, ensuring impactful prototypes are shipped in an ambiguous environment.
The ML Engineer will be responsible for building and maintaining the pipelines that power AI within Healthcare Information Systems, focusing on MLOps, data reliability, and production stability. Key duties include developing CI/CD pipelines for ML deployment, serving models as scalable APIs, and developing ETL processes for healthcare data transformation.
The ServiceNow Developer is responsible for developing, configuring, troubleshooting, and implementing baseline and custom applications to augment the ServiceNow platform. This role also involves leading development projects, maintaining platform stability, and collaborating with stakeholders to devise innovative solutions.
The role involves quality assurance and automation engineering within an AI-powered software delivery platform environment. Responsibilities center on enabling enterprises to build, test, secure, and deliver high-quality software using AI-driven insights and automation across the development lifecycle.
Handle incoming support requests by liaising internally with engineering and product management to resolve product bugs. Act as the voice of the customer to ensure product priorities meet customer needs for application security.
This role involves providing leadership for highly complex projects focused on developing new systems, architecture, applications, or technology capabilities to support business goals. The engineer will be instrumental in driving complex technical initiatives within the company.
This role involves building and leading a cross-disciplinary organization focused on Clinical Engineering, Data Warehousing, and Data Analytics to deliver data-driven clinical engineering outcomes and AI-enabled insights for the Dental Solutions business. The manager will define and scale an integrated capability connecting clinical science, digital platforms, advanced analytics, and AI to translate clinical intent into measurable outcomes that improve efficacy and differentiation.
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The Lead Software Engineer will spearhead AI enablement across the organization by leading the design, development, and deployment of AI-powered tools, including generative AI solutions, to drive productivity improvements. This role involves partnering with stakeholders to define technical vision, mentoring engineers, and establishing best practices for AI solution development.
The Experience Architect, AI & Agentforce will be responsible for driving the solution and building Agentforce-powered experiences to deliver significant business value to clients. This role focuses heavily on experience design, solution design, architecture, and execution for Generative AI technologies.
The Engagement Manager will develop, own, and manage customer relationships from a delivery perspective across the portfolio, ensuring seamless execution and providing oversight to project teams for quality delivery and client satisfaction. This role also involves acting as a thought leader for customers, participating in sales cycles, and smoothly transitioning clients from sales to project delivery.
The role involves analyzing enterprise processes to identify automation opportunities and designing/implementing AI strategies using GenAI and agentic systems to optimize operations across domains like procurement and inventory. Key tasks include developing architecture mappings and translating business needs into actionable, scalable AI solutions.
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