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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Lead customer activation for Moby AI, helping ecommerce brands integrate AI workflows into their marketing analysis and execution. Partner with product teams to share customer feedback and develop repeatable activation playbooks.
Design and maintain automated test frameworks for embedded systems and backend services using an AI-first approach. Collaborate with cross-functional teams to validate safety-critical functionality and integrate tests into CI/CD pipelines.
Embed with customers as a technical partner to design and implement DevSecOps workflows and optimize software delivery. Act as a strategic advisor to drive the adoption of the multi-module Harness platform across customer environments.
Develop and implement commercially viable AI/ML and GenAI solutions for healthcare, insurance, and life sciences markets. Collaborate with product and business development teams to enhance existing products and drive data science best practices.
Lead the planning and delivery of strategic Google Cloud AI, data modernization, and infrastructure projects using a hybrid PMI and Agile framework. Manage project financials, stakeholder communications, and integrate AI tools to optimize the project delivery lifecycle.
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![Cheesecake Labs is hiring for remote [Contractor] Senior Blockchain Engineer (US based)](/assets/a446884c-27e7-48c7-88c3-cbd7fc771a00.png){kind=small}
Build and evolve production-grade blockchain infrastructure services, including indexers, event processors, and wallet services. Collaborate with international clients to design secure, scalable technical solutions for digital asset platforms.
The Senior Data Platform Architect will lead the technical execution of scalable data platforms using AWS and Snowflake to support human and AI consumers. This includes designing core architectures, defining ingestion standards, and mentoring engineers to ensure high-quality, production-ready data solutions.
Design and implement high-volume, transactional distributed services in Go for crypto, fintech, and gaming platforms. Own the entire lifecycle from converting business outcomes into technical scope to operational production ownership.
Develop standards, infrastructure, and automation for observability tooling, dashboards, and alerts. Build templates for SLOs/SLIs and improve incident response workflows to eliminate manual toil for engineering teams.
Drive the successful adoption of Redis technology by designing and delivering customized data service solutions for enterprise customers. Collaborate with technical teams and sales organizations to ensure production success and identify new business opportunities.
Develop complex mechanical designs for power switchgear, electrical bus, and substations while ensuring compliance with industry standards. Lead field measurements, perform reverse engineering, and provide technical mentorship to junior engineers.
Develop and maintain full-stack production systems using a test-first approach and clean code practices. Collaborate in a product team to handle everything from front-end development to infrastructure and DevOps pipelines.
Build and maintain production-grade data models and pipelines to transform raw data into reliable business layers. Collaborate with product domains and the Data Council to ensure scalable data architecture and governance standards.
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The role focuses on owning and modernizing the Jenkins-based CI/CD pipeline, including a strategic migration to AWS. Additionally, the engineer will provision and maintain test environments to support the Software Quality Assurance team.
Responsible for managing high-severity production incidents, conducting diagnostics, and performing post-mortems. The role involves designing and maintaining the observability stack to reduce MTTR and increase service availability.
Develop scalable Python services and APIs for the next generation of data products. Implement applied AI initiatives including agents, RAG, and Document AI while maintaining data pipelines.
Build and maintain scalable back-end systems using PHP and Laravel while developing front-end components with React. Integrate AI-assisted development tools into the workflow to accelerate delivery and maintain high coding standards.
Design and build an in-house banking platform focusing on resilient software and distributed systems. Collaborate across disciplines to solve challenges ranging from customer-facing products to underlying infrastructure and security.
Build and evolve a cloud-native, AI-first data platform that transforms business data into actionable assets for AI agents and humans. Lead the transition from batch-oriented pipelines to real-time streaming systems while improving data observability and governance.
Manage, configure, and maintain DB2 databases on mainframe platforms to support the mission-critical DESTINY application. Responsibilities include optimizing queries, ensuring high availability, and implementing disaster recovery strategies.
Define the long-term technical roadmap for the Core Pricing platform to optimize the borrower-lender marketplace. Lead the design of scalable systems and collaborate with ML scientists to improve core business metrics and pricing models.
Design and build batch and near-real-time data pipelines using PySpark and Databricks within a medallion architecture. You will architect efficient Delta Lake schemas and collaborate with product teams to translate requirements into reliable data enrichment workflows.
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Lead the design and implementation of complex ServiceNow architectures specifically for the telecommunications sector. Provide technical leadership, mentor developers, and act as a strategic partner for clients to define technological strategies.
The Systems Engineer supports the sales organization by qualifying leads and serving as the primary technical resource during sales calls. They also act as the lead technical contact for post-sales account issues and provide customer training.
The Systems Engineer provides technical support across the entire sales cycle, including qualifying leads and educating customers during sales calls. They also serve as the lead technical contact post-sale to resolve customer issues and provide training.
Design, build, and support full-stack enterprise applications using Databricks as the core data and AI platform. Integrate these applications with enterprise systems like SAP and Salesforce to enable reporting, forecasting, and operational control.
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