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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Embed with product and tech cohorts to build AI plugins, skills, and connectors that optimize developer workflows. Productize these wins into reusable patterns and harden MCP server integrations for the broader platform.
![Smart Working Solutions is hiring for remote Lead Software Engineer (Full Stack & AI) (Remote, Full-Time) [AS251]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Lead a cross-functional engineering team to design and deliver a cloud-based learning and compliance platform. Drive the implementation of AI-powered features and maintain high engineering standards through architecture and code reviews.
Architect and operate data and training pipelines across cloud and cluster environments to improve the autonomous driving stack. Build and maintain distributed training, orchestration tooling, and metadata stores for evaluation workflows.
The Technical AI Product Lead designs and owns AI features from concept to delivery, balancing cost, reliability, and efficiency. They collaborate with internal consultants to translate user needs into technical solutions while coaching staff and managing project dependencies.
Design and maintain scalable PySpark-based data pipelines and Delta Lake tables on AWS and Databricks. Collaborate with architects to implement cloud-native data solutions and optimize pipeline performance for federal clients.
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Develop and deploy scalable application services and software components while managing CI/CD pipelines in GitLab. Ensure production stability through monitoring, alerting, and participating in 24/7 on-call rotations.
Lead the day-to-day execution of audit and advisory activities for blockchain and digital asset clients. Supervise associate-level professionals and maintain strong client relationships to ensure satisfaction.
Lead the technical direction and architectural evolution of systems, transitioning from legacy monoliths to a modern stack. Mentor the engineering organization on AI-native development practices to increase velocity and code quality.
The role focuses on monitoring and maintaining HL7 interfaces and PACS infrastructure to ensure reliable transmission of scan orders and radiology reports. It also involves leading the technical deployment and configuration of gateway software for new imaging center clients.
Develop, configure, and customize ServiceNow ITSM and SPM modules, including system administration and script maintenance. Support external tool integrations via APIs and participate in technical design sessions and documentation.
Designs, develops, and implements complex SAP application solutions to meet business requirements while supporting existing systems. Partners with vendors and business stakeholders to configure COTS software and ensure system performance and security compliance.
Design and maintain the Snowflake environment and govern other data technologies like Fivetran, Databricks, and Airflow. Focus on optimizing performance, implementing security standards, and automating operational tasks using Python and SQL.
Develop and support big data processing pipelines using Spark and Scala to score clinician data for CMS. Collaborate with UI/UX and DevOps teams to implement ETL routines and ensure code quality through reviews and testing.
Develop future cloud strategies and technology landscapes for large enterprises, creating architecture blueprints and prototypes. Bridge the gap between high-level C-level strategy and hands-on technical implementation of AI and cloud platforms.
Accelerate partner success and revenue growth by enabling partners to design, demo, and implement AI Agent solutions. Act as a technical advisor to translate platform capabilities into business value and drive technical win conditions throughout the deal lifecycle.
Lead the development and maintenance of AI-powered tools and scalable applications to automate HR workflows and people operations. Partner with cross-functional stakeholders to integrate people systems with enterprise platforms and drive productivity gains.
Design and build the high-performance infrastructure layer powering AI agent systems in production using Rust. Focus on optimizing model inference, orchestration, and execution layers to ensure reliability and scalability for millions of users.
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Own and evolve the Game Engine domain, focusing on internal frameworks and libraries used for game logic and mathematical packages. Collaborate with mathematicians and platform teams to ensure the correctness of RTP monitoring and regulatory compliance for game rounds.
Design, develop, and maintain frontend interfaces and backend APIs to ship complete end-to-end features. Collaborate with product, design, and DevOps teams while participating in code reviews and system optimization.
Own entire product surfaces from idea to impact, focusing on the end-to-end pipeline for computer vision projects. Collaborate on strategy and roadmap decisions while shipping features that reduce user friction.
Develop and execute satellite verification and validation activities using Flatsats, HWIL/SWIL environments, and simulators. Create automated test scripts, lead formal validation events, and support system architecture development and requirements decomposition.
Architect and manage scalable Salesforce solutions for the opportunity lifecycle and Go-To-Market systems. Collaborate with product owners and stakeholders to design technical solutions for lead routing, forecasting, and CRM processes.
Design and execute end-to-end data validation strategies for ETL/ELT pipelines to ensure data accuracy and integrity. Collaborate with engineering teams to build automated test frameworks and mentor junior QA engineers on best practices.
Establish the ML/AI function from scratch, including the vision, architecture, and team building. Develop a real-time ML decisioning system and a recommendation engine to optimize transaction routing and merchant conversion.
Design and maintain a large-scale payments platform focusing on core banking capabilities and financial infrastructure. Lead end-to-end projects while collaborating with cross-functional stakeholders to deliver scalable, user-centric backend services.
Take end-to-end responsibility for Microsoft Business Central customer projects, including migrations, new implementations, and system expansions. Collaborate closely with international developer teams and consultants to provide high-quality support and system design.
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Analyze complex SAP and non-SAP datasets to drive business decisions using statistical methods and predictive modeling. Develop analytic pipelines and communicate findings through dashboards, KPIs, and AI/ML-based decision frameworks.
The role involves taking extreme ownership of the software outcome, untangling complex systems, and providing technical leadership to address tech debt. The engineer will leverage AI tools to solve difficult problems and support the team across the full stack when necessary.
Develop and optimize custom Shopify and Shopify Plus themes and apps to create high-performing ecommerce experiences. Integrate Shopify with third-party enterprise systems and collaborate with cross-functional teams to deliver scalable commerce solutions.
Lead the design, implementation, and support of enterprise-grade public cloud solutions while managing a team of cloud engineers. Act as a strategic technical advisor and primary escalation point for complex technical issues to ensure operational excellence.
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