Design and implement scalable data models and pipelines using Databricks to support AI and machine learning initiatives. Manage ETL/ELT processes and deployment of data assets using Databricks Asset Bundles and Azure DevOps.
Remote Software Development Jobs (50,653)
Job category = Software Development
Design, build, and operate critical data infrastructure platforms including lakehouse, replication, and orchestration systems. Ensure high availability and scalability of platform services while driving developer productivity through automation and AI workflows.
Design and implement scalable backend services, APIs, and routing engines for swap execution across liquidity sources. Develop data pipelines, simulation layers, and monitoring systems to ensure high-performance transaction execution.
Develop and maintain performant user interfaces for web and mobile platforms, focusing on trading flows and wallet interactions. Build real-time data-driven interfaces and reusable UI components while optimizing rendering performance.
Build secure and scalable wallet integrations and transaction flows for the SwapRail platform across multiple chains. Focus on connectivity, signing pipelines, and optimizing transaction execution and gas fees.
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Design and maintain scalable infrastructure and CI/CD pipelines to support multi-service environments. Ensure system reliability and high availability while managing containerized environments and blockchain node infrastructure.
Lead a team of multimodal annotators to execute multimedia labeling and review tasks while ensuring throughput and quality targets are met. Act as the primary liaison between annotators and stakeholders to maintain guideline consistency and document edge cases.
Power BI Architect & Lead (Microsoft Fabric / Databricks)
Entrada AI
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Full Time
·
3 Weeks Ago
Entrada AI
Lead the design and implementation of greenfield semantic architectures and optimize Microsoft Fabric Direct Lake models for high-performance access. You will also modernize legacy reports and manage end-to-end data chain performance tuning from Delta Lake to Power BI.
The Sales Engineer serves as the technical voice in deals, conducting discovery calls and delivering tailored product demonstrations. They are responsible for managing the technical evaluation process (POCs) and creating technical collateral to support sales and partners.
Sr Engineering Technical Program Manager - Internal Platform Infrastructure
Thumbtack
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Full Time
·
3 Weeks Ago
Thumbtack
Lead the Internal Platform Infrastructure program, managing the integration layer and tooling stack for operational teams. Drive end-to-end delivery of identity, security, and enterprise AI initiatives while coordinating across engineering and business stakeholders.
Sr Engineering Technical Program Manager - Internal Platform Infrastructure
Thumbtack
·
Full Time
·
3 Weeks Ago
Thumbtack
Lead the Internal Platform Infrastructure program, driving the integration layer for operational teams and coordinating IT infrastructure initiatives. Manage end-to-end delivery of enterprise AI tooling, identity security, and business application portfolios.
Drive growth by designing data science models and recommendation engines to revolutionize cross-sell and upsell initiatives. Partner with GTM leadership to translate business objectives into a technical roadmap and integrate data products into stakeholder workflows.
Lead the autonomous defense for the AI lifecycle by building multi-agent frameworks and secure gateways. Define the MLSecOps roadmap and author company-wide AI security standards to ensure secure-by-default agentic workflows.
Develop and evolve a scalable Salesforce data model and custom functionality using Apex and SOQL to support GTM automation. Collaborate with stakeholders to design integrations and maintain codebase quality through refactoring and rigorous testing.
Define and drive the long-term architectural vision and strategy across multiple products and domains at company scale. Lead cross-organizational initiatives, solve complex technical challenges, and mentor senior engineering talent to elevate technical standards.
Support the development of Python-based backend applications for the AI-powered ESG solution 'Ribeca'. Work on processing and analyzing structured and unstructured datasets, including map data, and collaborate with technical teams on model evaluation.
The Data Scientist will design and curate datasets to build and improve sensitive data detection models for secure Generative AI adoption. They will also monitor model performance using dashboards and customer feedback to drive continuous accuracy improvements.
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Design and build a unified AI platform layer to standardize model routing, prompt management, and response caching across the backend. Own the reliability, performance, and cost-efficiency of AI systems while integrating new models and APIs.
Build and optimize a cross-platform video processing and rendering engine using FFmpeg and Skia. Develop WebAssembly infrastructure and iOS integrations to enable high-performance video editing across web and mobile platforms.
Build and extend a canvas-based video editor using PixiJS and WebGL to create high-performance creative tools. Develop collaboration features including co-editing, commenting, and approval workflows for global brand social teams.
The role focuses on maintaining CI/CD pipelines, automating code testing and deployment, and managing infrastructure using code. It also involves monitoring application performance, resolving errors, and implementing security best practices.
Manage Salesforce administration, including user security, system maintenance, and process integrity for CPQ and OLM. Oversee data stewardship and synchronization between Salesforce and ERP/Billing systems to ensure high data quality.
Senior Platform Engineer - AI Platform team (100% Remote within Spain)
Docplanner
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Full Time
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3 Weeks Ago
Docplanner
Design, implement, and manage the AI Platform architecture while controlling costs for models and GPUs. Collaborate with ML and Product teams to operationalize AI models and ensure high availability and scalability of services.
Senior Platform Engineer - AI Platform team (100% Remote within Poland)
Docplanner
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Full Time
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3 Weeks Ago
Docplanner
Design, implement, and manage the AI Platform architecture to ensure high availability, scalability, and cost efficiency. Collaborate with ML and Product teams to operationalize AI models and integrate them into the company's systems.
Modernize a complex data estate by transitioning legacy ETL processes into a high-performance, Spark-driven Microsoft Fabric environment. Build and manage large-scale data environments using OneLake and implement Medallion architecture for data integrity.
Senior HubSpot Architect I
Inductive Automation LLC
·
Full Time
·
3 Weeks Ago
Inductive Automation LLC
The role is responsible for architecting scalable HubSpot CRM infrastructure, including custom objects, workflows, and data models. It involves developing custom-coded solutions using HubL and React to enhance the HubSpot CMS and integrating the CRM with the broader sales stack.
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Senior Software Engineer I (Historian)
Inductive Automation LLC
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Full Time
·
3 Weeks Ago
Inductive Automation LLC
Responsible for the entire software development lifecycle of historian products, including design, implementation, and maintenance. The role involves improving code architecture, conducting code reviews, and providing technical leadership for specific product areas.
Design, implement, and optimize cloud-based infrastructure and CI/CD pipelines across AWS, Azure, and GCP. Collaborate with cross-functional teams to integrate DevOps practices and ensure system reliability and security.
Design and deploy predictive models and algorithms to optimize sales performance and drive data-driven decision-making for the Go-To-Market organization. Collaborate with cross-functional partners to build dashboards and communicate complex analytical insights to executive stakeholders.
Senior Quality Assurance Engineer I (Performance)
Inductive Automation LLC
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Full Time
·
3 Weeks Ago
Inductive Automation LLC
Identify and debug high-priority performance issues and complex application errors within a complex tech stack. Develop automated performance test frameworks and leverage Generative AI to accelerate script creation and synthetic data generation.
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