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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You will design end-to-end system architectures for enterprise AI Agent deployments, integrating Parloa's platform with complex systems like CRMs and ERPs. Additionally, you will shape conversational experiences by applying prompt engineering and translating customer requirements into reliable agent behavior.
Design end-to-end solution architectures for AI Agent deployments by integrating Parloa's platform with complex enterprise systems like CRMs and ERPs. Collaborate with cross-functional teams to translate customer requirements into reliable, scalable conversational AI workflows.
The engineer will build and maintain orchestration capabilities using agentic workflows while driving quality through automated testing and code reviews. They will also develop features across the full stack, refactor legacy systems, and collaborate with cross-functional teams to ensure system reliability.
You will design, develop, and maintain scalable web applications using React.js and TypeScript while collaborating with multidisciplinary teams. Additionally, you will integrate front-end components with Python-based back-end services and optimize applications for performance.
You will develop and maintain backend business logic and APIs using Python and FastAPI. Additionally, you will collaborate with the team to design new features, optimize software architecture, and ensure code quality through reviews.
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The Data Automation Engineer will execute and monitor daily data quality checks across large datasets to ensure the integrity of migrated healthcare data. They will also investigate discrepancies, implement new data quality capabilities, and facilitate communication between technical and non-technical stakeholders.
The Senior Thermal Engineer will support thermal design and analysis for high-speed flight systems, including predicting thermal loads and heat rates. They will also be responsible for analyzing launch vehicle thermal environments and training team members on thermal analysis tools.
You will design and build the runtime and platform for agentic systems, focusing on planning, execution loops, and tool calling. Additionally, you will build production agents that integrate with enterprise data and implement human-in-the-loop workflows to ensure reliability and traceability.
You will design and build the runtime and platform for agentic systems that reason, call tools, and execute multi-step workflows. Additionally, you will implement evaluation harnesses and observability tools to ensure the reliability, traceability, and security of these AI agents in production.
Manage enterprise-level Salesforce projects by leading discovery workshops, defining business requirements, and overseeing the full Agile software development lifecycle. Ensure projects are delivered on time and within budget while maintaining strong client relationships and managing project financials.
Design and deliver quote-to-cash automation solutions using Salesforce Revenue Cloud from discovery through implementation. Lead client workshops, architect robust solutions, and provide functional guidance to project teams.
The role involves architecting AI-first software solutions, overseeing agentic AI development workflows, and ensuring the quality, security, and performance of generated code. You will also translate business requirements into technical specifications and mentor engineering teams on AI-assisted development practices.
The Senior ETL Developer will design, develop, and maintain scalable data pipelines and transformation workflows using dbt and SSIS. They are responsible for writing optimized SQL queries, ensuring data quality, and troubleshooting existing ETL solutions to support business intelligence initiatives.
The Tech Ops Engineer is responsible for maintaining system uptime, integrity, and security for customer digital asset platforms. They will manage installations, upgrades, and maintenance of Linux, virtual, and containerized environments while collaborating with DevOps to automate core tasks.
The engineer will administer, maintain, and troubleshoot Linux-based production and supporting infrastructure for the U.S. Geological Survey. They will perform root-cause analysis on complex technical issues and collaborate across teams to resolve problems involving applications, databases, and networking.
The engineer will install, configure, and maintain Linux systems while using Ansible to automate routine administration and infrastructure operations. They will also manage network connectivity, monitor system health, and collaborate with cross-functional teams to support mission-critical scientific data processing.
The Software Engineer will support the Invoice Simple platform by developing new features, maintaining existing products, and managing CI/CD pipelines. They will also collaborate with application teams to improve service architecture, system reliability, and operational readiness.
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The Staff Engineer will protect AI infrastructure and cloud systems by implementing security controls and AI-assisted development tools. They will also lead incident response efforts, monitor security logs, and provide cybersecurity expertise across the organization.
The engineer will manage the day-to-day operations and continuous improvement of the Joiner-Mover-Leaver (JML) and identity-automation platform. They will also contribute to security functions by performing identity governance, access control reviews, and supporting security investigations.
The role involves serving as the primary point of contact for WordPress technical support inquiries and providing Level 1 troubleshooting. You will manage customer tickets, diagnose issues, and escalate complex problems to technical specialists while maintaining empathetic communication.
The analyst will drive process improvement and support complex mortgage servicing and regulatory reporting activities. They will serve as a liaison between business operations, technology, and compliance to identify risks and implement solutions.
You will own the backend platform and observability systems for Scribe's data ingestion, ensuring reliable data flow into processing and AI pipelines. You will also provide technical leadership to shape the roadmap and drive improvements across the Recorder Engineering team.
Design, build, and maintain scalable data pipelines and transformation workflows to support analytics and reporting. Partner with stakeholders to ensure data quality, reliability, and accessibility across the organization's data systems.
You will build core data platform capabilities, including services and APIs for data access, ingestion, and synchronization. Additionally, you will own execution reliability by implementing orchestration, retries, and observability to ensure data correctness.
You will build core data platform capabilities, including services and APIs for data access, ingestion, and synchronization. Additionally, you will own execution reliability by implementing orchestration, retries, and observability to ensure data correctness.
You will design and build automated quality control systems for training data to ensure high standards for reinforcement learning environments. Additionally, you will partner with data vendors to debug quality issues and translate findings into robust validation pipelines.
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The QAE/DevOps Solutions Architect leads the design and implementation of enterprise-scale quality engineering, automation, and DevOps capabilities. This role defines end-to-end SDLC and QA architecture, focusing on Azure DevOps pipelines, CI/CD integration, and AI-assisted quality practices.
You will design, develop, and maintain ETL/ELT pipelines while establishing data extraction and transformation strategies across BigQuery, PostgreSQL, and Snowflake. Additionally, you will own data quality, implement observability and alerting strategies, and collaborate with product teams to define data contracts.
Design, implement, and maintain scalable data pipelines on AWS using services like S3, Glue, and Redshift. Develop robust ETL/ELT workflows to ingest, cleanse, and transform data while ensuring security, governance, and operational reliability.
The Manager of Network and Integration Specialists leads a Tier 3 technical support team responsible for the reliability of the STRATIS IoT smart building platform. This role involves managing daily operations, complex escalations, team development, and collaborating with cross-functional teams to ensure stable and scalable solutions.
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