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 designing and operating end-to-end data solutions using Microsoft Fabric, Azure, and the Power Platform to digitize business processes. The candidate will own data architecture, BI dashboard development, and the migration of legacy on-premise systems to the cloud.
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
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Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
The role involves the operation, maintenance, and administration of Microsoft SQL Server and other database systems. The engineer will support developers and DevOps teams while maintaining full operational responsibility for production environments, including 24/7 on-call duties.
Architect and govern the data layer for the Borrowing domain, transforming complex technical problems into scalable data products. Lead the design of reusable feature stores and infrastructure patterns to support analytics, ML, and regulatory reporting.
Develop high-quality 3D visuals, product renders, and animations to support brand creative direction. Collaborate with art directors and content teams to execute 3D assets for marketing and branding content.
Monitor and respond to security events while leading incident response strategies as an Incident Commander. Collaborate with global teams to conduct digital forensic investigations and develop automated security workflows and runbooks.
The role focuses on improving deployment speed and reliability of an AWS-based platform while reducing manual operational bottlenecks. It involves implementing agentic engineering workflows to assist engineers in diagnosing and fixing production issues safely.
Own manual and automated testing for pod releases, focusing on verifying new features and critical flows. Collaborate with engineers to define test cases, document bugs, and build a practical release checklist.
The role focuses on configuring complex technical setups for strategic B2B SaaS customers and creating scalable blueprints for the Customer Success team. It acts as a technical bridge between customers, Product Management, and Sales to ensure successful platform implementation and feature evolution.
Drive industrial data integration by connecting shopfloor machines and PLCs to enterprise platforms using the Litmus Edge suite. Bridge the gap between OT and IT to transform raw industrial data into structured streams for analytics and operational decision-making.
Design and develop high-performance data pipelines and real-time processing solutions using Python and Go. Manage infrastructure as code with Terraform and ensure system reliability through monitoring and testing strategies.
![Smart Working Solutions is hiring for remote Senior Data Engineer (Remote, Contractual) [TH003]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Manage and optimize Snowflake data warehouses and build scalable ETL/ELT pipelines using dbt and Airflow. Drive the transition toward real-time data processing and integrate data from various operational systems.
Take end-to-end ownership of designing, implementing, and operating scalable backend services within a microservices architecture. Focus on building production-grade SaaS applications using Node.js and message-driven components like Redis Streams.
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Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
Perform market analysis and proof of concept work to validate designs and identify suitable technologies for delivery streams. Oversee the implementation of approved designs with engineering and operations teams to ensure successful delivery.
Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Act as a trusted advisor to customers to modernize legacy data landscapes into scalable, AI-powered cloud-native platforms.
Govern and improve autonomous database resolution systems by identifying failure patterns and translating compliance requirements into operational policy. Act as the expert escalation point for complex database incidents and collaborate with customers on strategic operations.
Lead end-to-end compliance programs including gap analyses and certification processes for eIDAS v2, NIS2, and ISO 27001. Act as the primary interface with external auditors and implement technical remediation directly to ensure regulatory adherence.
Design, build, and scale secure, high-performance cloud services and APIs for a global healthcare platform. Collaborate with architecture and security teams to implement maintainable Go-based microservices and internal tooling.
Research and implement model architecture improvements to enhance video generation fidelity and human-centric quality for world foundation models. Translate research results into production-grade checkpoints and benchmarks to improve physical AI and simulation.
Design and maintain scalable Azure cloud infrastructure using IaC and automate CI/CD pipelines to enable engineering teams. Implement AI-powered tools to automate DevOps workflows, monitoring, and operational runbooks.
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Orchestrate AI agents to develop, refactor, and test features for an AI-based document management platform. You will optimize the existing Java and JavaScript codebase while defining guardrails to ensure the quality and security of AI-generated code.
Lead the design and development of agentic AI systems across engineering productivity, internal company intelligence, and customer-facing features. Establish technical standards for AI deployment on GCP and mentor the engineering team in agentic systems expertise.
Architect and maintain the machine learning production lifecycle by designing scalable infrastructure and automation pipelines. Collaborate cross-functionally to deploy, monitor, and optimize AI models to ensure high performance and security.
Lead the execution of SAP data migration programs, including project planning, delivery approach, and resource management. Oversee the development of migration rules using Syniti tools and coordinate with client SMEs to ensure successful data lifecycle management.
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