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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Own and evolve the end-to-end release pipeline and fleet automation for a distributed computer vision platform. Develop LLM-powered automated testing systems and harden CI/CD processes for bandwidth-constrained edge deployment targets.
The role focuses on configuring and maintaining Flosum CI/CD pipelines for development teams within a Salesforce Government Cloud environment. It involves generating ATO evidence for continuous monitoring and performing security validation engineering for IL-4/5 environments.
The role involves defining the target architecture, roadmaps, and implementation approach for Teamcenter Active Workspace. The architect will translate business requirements into scalable solution designs while driving standardization and simplification across PLM environments.
The role involves designing, developing, and supporting software application systems to meet business needs across various technical areas. Key duties include translating requirements into specifications, performing code reviews, and providing Level 3 operational support.
Review AI-generated lexical transcripts and convert them into a natural, readable text format. Apply punctuation, capitalization, and formatting rules while keeping original words intact.
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Drive test automation across API, UI, and end-to-end paths while extending AI-assisted test generation tooling. Build scalable test infrastructure for real-time trading paths and mentor engineers on quality-first mindsets.
Build and implement enterprise contact center transformations using Amazon Connect, Generative AI, and serverless AWS architectures. Develop AI agents, custom agent tooling, and infrastructure as code while collaborating directly with customer engineering teams.
Build and implement enterprise contact center transformations using Amazon Connect, AI agents, and serverless AWS architectures. Develop AI-native self-service experiences and custom agent tooling while collaborating directly with customer engineering teams.
Build and implement enterprise contact center transformations using Amazon Connect, Generative AI, and serverless AWS architectures. Develop AI agents, custom agent tooling, and scalable infrastructure while collaborating directly with customer engineering teams.
Design and develop scalable backend microservices using Python and responsive frontend applications using React for a large-scale e-commerce platform. Collaborate with cross-functional teams to implement event-driven solutions and optimize system performance for low latency.
Develop and maintain user loyalty programs and gamification mechanics such as lootboxes and minigames. Manage CRM bonus campaigns, analyze user behavior metrics, and collaborate with cross-functional teams to improve engagement flows.
Drive quality across multiple projects by designing and executing functional, integration, and end-to-end tests for web and mobile applications. Partner with product and engineering teams to define acceptance criteria and mentor fellow QA engineers.
Design and implement the core backend architecture for an AI-native data intelligence system, focusing on context ingestion, storage, and retrieval APIs. You will build a scalable multi-tenant SaaS foundation and ensure the reliability of services through instrumentation and observability.
Design and implement the core backend architecture for an AI-native data intelligence system, focusing on context ingestion, storage, and retrieval APIs. You will build a scalable multi-tenant SaaS foundation and ensure the reliability of services through instrumentation and observability.
Design and implement the core backend architecture for an AI-native data intelligence system, focusing on context ingestion, storage, and retrieval APIs. Build a scalable multi-tenant SaaS foundation and ensure system reliability through observability instrumentation.
Design and implement the core backend architecture for an AI-native data intelligence system, focusing on context ingestion, storage, and retrieval APIs. You will build a scalable multi-tenant SaaS foundation and ensure the reliability of services through instrumentation and observability.
Design and implement the core backend architecture for an AI-native data intelligence system, focusing on context ingestion, storage, and retrieval APIs. Build a scalable multi-tenant SaaS foundation and ensure system reliability through instrumentation and observability.
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Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Develop and deploy conversational AI agents and AI-driven platform capabilities from design to production. Research advanced AI technologies and integrate external APIs to enhance advertising campaign analytics and automation.
Own the end-to-end vision, roadmap, and success metrics for the AI Receptionist suite, focusing on autonomous client communication via voice and text. Drive business outcomes including revenue, adoption, and retention while ensuring a seamless transition between AI and human staff.
The SRE will manage the reliability, availability, and performance of the Guardicore Data and AI Platform using Kubernetes infrastructure. Responsibilities include leading production investigations, implementing observability strategies, and leveraging AI for incident auto-remediation.
Lead and develop a team of L2 Support Engineers while owning performance metrics such as CSAT and SLA adherence. Act as the primary communication link between the support team and internal stakeholders, as well as the main point of contact for channel partners.
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Analyze client segmentation, revenue data, and operational metrics to identify growth opportunities and improve organizational efficiency. Develop data-driven recommendations and present structured analyses to senior leadership to drive business decisions.
Design, develop, and maintain Java-based applications and front-end features using JavaScript and CSS. Collaborate with multi-disciplinary teams to troubleshoot software defects and ensure compliance with US Federal Government security standards.
The Privacy Engineer serves as a subject matter expert supporting the Privacy Office in maturing the organization's privacy program and framework. The role focuses on implementing privacy best practices within marketing and ad tech solutions while developing scalable privacy controls.
Develop and maintain cross-platform mobile applications and backend infrastructure using Flutter, Node.js, and GCP. Collaborate with cross-functional teams to design scalable technical solutions and optimize system performance and reliability.
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