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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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.
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.
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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.
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.
The Project Administrator is responsible for maintaining comprehensive project documentation, coordinating communications, and ensuring accurate tracking of project plans, tasks, timelines, and milestones throughout the project lifecycle. This role also involves monitoring risks and issues, preparing status reports, and facilitating clear communication between internal and external stakeholders.
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The role centers on leading the design and build of new functionalities within SAP MDG and PLM systems to meet evolving business needs, including developing integration solutions between PLM tools and SAP ERP systems. Primary duties also involve establishing master data governance frameworks, enforcing data standards, and enabling efficient product lifecycle processes through system enhancements.
The role involves closely collaborating with the business to translate goals into cloud architecture (AWS/Azure) incorporating AI elements, and then assisting in its delivery. Responsibilities include solving complex client problems, supporting presales activities, and ensuring cost efficiency through FinOps practices.
The role involves conducting assessments of damages from various sources like water intrusion, wind, and construction defects, utilizing advanced technology for site inspections and evidence collection. Professionals will provide post-damage assessments, outline repair scopes, and prepare technical reports suitable for legal testimony.
The role involves working on AI and Machine Learning projects hosted in the Azure cloud, solving advanced ML challenges like forecasting and segmentation, and building solutions based on Large Language Models (LLMs). Responsibilities also include leading projects technically, preparing documentation, conducting training, and collaborating with clients to translate requirements into technical solutions.
The role involves owning and delivering quarterly goals, leading engineers through ambiguity to solve open-ended problems, and supporting peers and stakeholders throughout the product development lifecycle. Responsibilities also include proactively identifying and solving business or process issues, supporting operations and availability, and fostering a culture of quality through setting standards and mentoring talent.
The role involves owning and delivering quarterly goals, leading engineers through ambiguity to solve open-ended problems, and ensuring support throughout delivery. Responsibilities also include collaborating with product, design, and analytics, identifying and solving business/technology issues, and supporting operations and availability.
The Senior Solutions Architect will provide technical leadership post-sales to guide strategic customers in designing and implementing big data projects, covering everything from architectural design to data engineering and model deployment. Key tasks include architecting production-level workloads, optimizing end-to-end pipeline loads, and delivering training sessions to promote community adoption.
The role involves leading forensic investigations for bridge and highway assets, determining the cause and extent of failures or deficiencies, and preparing litigation-ready expert reports. Responsibilities also include providing expert witness testimony in various proceedings and advising clients on remediation and risk mitigation strategies.
The Senior Data Platform Engineer will architect, build, and scale the data platform, empowering teams with self-serve capabilities by owning data transformation, orchestration tooling, batch/streaming infrastructure, and the Datalake. Key duties include championing data as a product through robust capabilities, leading complex technical initiatives, upholding operational excellence via automation, and mentoring others.
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This role involves designing, building, testing, and deploying system integrations using iPaaS tools, focusing on developing real-time and scheduled integrations for business processes like order-to-cash and master data synchronization. The developer will also collaborate on solution design, produce detailed documentation, and provide post-go-live support and continuous improvement for these integrations.
This role involves leading integration development technically, influencing solution direction, and serving as a trusted expert for complex multi-system integrations and architectures. Responsibilities include designing, building, testing, and deploying integrations using iPaaS tools to support various business use cases.
The role involves designing, building, and maintaining full-stack applications using React for the UI and Go for backend services within microservices and event-driven architectures. Key duties include driving architecture decisions, owning features from concept to production, and ensuring application performance and reliability.
The role involves designing, building, and optimizing highly available cloud architectures on AWS, alongside developing and maintaining end-to-end CI/CD pipelines for frequent and high-quality releases. Responsibilities also include automating operational tasks using tools like Ansible and Terraform, managing infrastructure as code, and ensuring robust monitoring and observability.
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