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 Staff Developer will focus on building net-new self-serve experiences, evolving systems that power Product Growth, and driving rapid experimentation across B2B product suites. They will serve as the technical DRI for new growth capabilities, owning architectural decisions and ensuring cohesive execution across teams.
The Staff ML Engineer will conduct end-to-end analyses, wrangle data using SQL or Python, and develop/deploy machine learning models for both batch and real-time services, focusing on text and visual understanding. This role involves mentoring junior engineers, driving best practices in ML development and operations, and productionizing automated model pipelines within Python services.
Consultants will design and implement marketing analytics frameworks, set up tracking systems using tools like GA4 and Mixpanel, and build dashboards to monitor KPIs across various marketing channels. They will also analyze data to find insights, refine attribution models, and support advanced measurement approaches like MMM.
The role involves strategically consulting successful E-commerce brands on Shopify, focusing on marketing, CRO, and growth, while developing and implementing data-driven growth strategies. This includes utilizing modern AI tools to efficiently execute recommended measures and automate processes.
The Technical Lead will be responsible for leading the design, architecture, and delivery of complex full-stack applications and cloud-based systems while providing technical leadership across multiple projects. This includes guiding and mentoring engineers through code reviews, technical coaching, and enforcing engineering standards and best practices.
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The System Specialist provides world-class leadership for high-profile orders, handling installations, startups, commissioning, testing, and both scheduled and emergency services for Precision Cooling Products. This role requires establishing excellent customer rapport and maintaining continuous communication with internal teams like CRC, Area/District Offices, and the direct manager.
Coaches will mentor students and early-career candidates pursuing AI and machine learning roles by assisting with resume reviews, technical interview preparation, and guidance on building strong projects and portfolios. They are expected to clearly explain both the fundamentals and real-world applications of AI/ML based on their production-level system experience.
Coaches will leverage AI in data and analytics roles to guide students and professionals in applying AI for analytical work, including data analysis, reporting, and insights generation. They are expected to translate hands-on experience using AI to improve analytical speed, quality, or decision-making into clear, practical guidance for mentees.
Coaches will mentor students and professionals on leveraging Artificial Intelligence within sales and marketing go-to-market roles, focusing on areas like lead generation, content creation, and campaign optimization. They are responsible for translating their hands-on AI experience into clear, practical guidance for mentees.
Coaches will advise professionals and business leaders on adopting and scaling Artificial Intelligence within their organizations. This involves helping mentees identify high-impact use cases, develop AI strategies, and lead successful AI transformations across various teams and functions.
Coaches are sought to instruct professionals across various industries on building and applying AI in their work, focusing on designing AI workflows, automating processes, and developing agent-driven systems to boost productivity. They will partner with the team to deliver practical, high-impact coaching sessions to mentees.
Coaches will leverage AI in finance roles to guide students and professionals in applying AI for financial analysis, forecasting, modeling, research, and decision-making across various financial roles. They are responsible for translating hands-on experience into clear, practical guidance for mentees.
The role involves designing, building, and owning applications and integrations focused on improving the efficiency of Business Systems, specifically within Product Lifecycle Management (PLM) and Quality Systems at Harman. Responsibilities include designing business architectures, translating requirements into domain models, and implementing custom applications using model-driven concepts and low-code platforms.
The engineer will design, develop, and implement new infrastructure for an AI teammate, focusing on architecting the system that enables the agent to reason, remember, and evolve. This involves turning unstructured user data into a coherent world model by solving hard problems in AI memory, data pipelines, and security.
As a Data Scientist, responsibilities include executing ambitious client transformation projects through data and collaborating across divisions like Activation, Creativity, and Strategy to deliver integrated services. The role involves developing strong client relationships by applying technical skills to aid in the transformation of their marketing departments.
The Data Engineer will be responsible for developing and maintaining data pipelines, transformation logic, and data quality checks within a complex multi-jurisdiction financial data platform. This includes implementing enhancements to existing reporting processes and designing new reporting pipelines aligned with business requirements.
The role involves developing and integrating robust, scalable, and maintainable mobile solutions, working closely with web and backend teams to ensure consistent user experiences. Responsibilities also include designing user-focused interfaces emphasizing performance and quality, and normalizing multi-brand platforms to minimize duplicated efforts.
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The role requires a developer with 4 to 7 years of experience primarily using Java and being proficient in Spring Boot frameworks. Responsibilities include working with RESTful APIs, potentially using Apache Camel and Kafka for messaging, and interacting with Oracle databases for data manipulation.
![Smart Working Solutions is hiring for remote Senior Golang Engineer (Go, Python) (Remote, Full-Time) [AS218]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
The Senior Golang Engineer will be responsible for designing, building, and maintaining backend systems primarily using Go, while also contributing development tasks using Python. This involves delivering high-quality, scalable solutions that may interact with machine learning frameworks and containerized infrastructure.
The role involves working as a Data Engineer focusing on Google Cloud Platform tools, including building ETLs, data modeling, and query optimization within BigQuery. Responsibilities also include creating and maintaining workflows using Airflow, managing version control with GIT, and potentially maintaining legacy Big Data systems.
The engineer will design and implement complex, scalable, and secure distributed infrastructure systems supporting the core AI engine across multiple cloud environments like AWS, Azure, and OCI. Responsibilities include tuning cloud services for performance, developing core services in TypeScript, Kotlin, and Go, and owning problems end-to-end from design through production support.
The role involves identifying customer problems and leading teams to research, architect, design, and operationalize AI/ML solutions across core areas like Search, Recommendations, and Ads. This includes defining technical strategy, driving cross-functional alignment, and leading mid-to-long-term research initiatives.
This role involves architecting, designing, and implementing core components within COBOL development tools and mainframe replatforming infrastructure while providing technical direction across multiple engineering teams. The engineer will also own complex technical domains end-to-end, conduct deep code reviews, and mentor other engineers in system-level design.
The role involves leading the development of a platform for large-scale ML models, designing end-to-end model lifecycle patterns (MLOps) to increase ML engineer development velocity. This includes zero-to-one development of a graph ML codebase and optimizing model training efficiency in a distributed environment.
The Staff ML Infrastructure Engineer will lead the development of a platform for large-scale ML models, designing end-to-end MLOps patterns for data preparation, model management, and experiment tracking. This role involves zero-to-one development of a graph ML codebase and platform, collaborating on performance tuning, and architecting pipelines for massive graph data structures.
The Senior Full Stack Engineer will be responsible for delivering priority roadmap features across frontend and backend systems, developing applications using Node.js, React, and TypeScript, and supporting third-party integrations. This role also involves contributing to scalable platform architecture, maintaining cloud infrastructure, and improving CI/CD pipelines and release processes.
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The Senior ServiceNow Engineer will be responsible for designing, developing, and owning solutions across the ServiceNow platform, focusing heavily on ITSM, operational resilience (DORA), and audit/compliance-driven workflows. This involves hands-on development, platform ownership, and close collaboration with technical and non-technical stakeholders to ensure the platform is reliable and scalable.
The Senior ServiceNow Engineer will be responsible for designing, developing, and owning solutions across the ServiceNow platform, focusing heavily on ITSM, operational resilience (DORA), and audit/compliance workflows. This involves hands-on development, platform ownership, and close collaboration with technical and non-technical stakeholders to ensure the platform is reliable and scalable.
The role involves designing and building the scalable service and API layer for an automated code modernization and migration platform. Responsibilities include building and maintaining scalable Python microservices and APIs that support agentic workflows and ensuring backend services are robust and production-ready.
Responsibilities include conducting assessments of damages from various sources like water intrusion, wind, and construction defects, and performing site inspections using 3D scanning technology. The role also requires preparing and delivering technical reports of scientific findings and conclusions suitable for legal proceedings.
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