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 Technical Solution Architect will partner with sales teams to drive technical sales activities and design scalable solutions for data center and WAN routing opportunities. They will act as a trusted advisor to customers and internal teams, providing technical leadership and thought leadership in networking innovations.
The Field Service Engineer is responsible for the installation, troubleshooting, and maintenance of Videojet systems at customer production sites. They act as a trusted partner to support customers in optimizing and modernizing their production processes.
The Kubernetes Infrastructure Engineer will deploy, manage, and optimize Kubernetes clusters across multi-cloud environments including Azure, AWS, and GCP. They will also collaborate with development teams to ensure high availability, security, and performance of cloud-native applications.
The Senior Customer Success Architect serves as a strategic technical advisor for enterprise and government accounts, driving platform adoption, retention, and expansion. They are responsible for translating business outcomes into actionable success plans and leading cross-functional resolution of complex technical escalations.
Design, build, and ship full stack features end-to-end using TypeScript, Python, Terraform, and bash. Take ambiguous requirements and transform them into reliable, well-tested software at speed.
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The Technical Onboarding Engineer guides enterprise customers through architectural foundations, including cloud provisioning, security, and application integration. They also optimize data modelling and infrastructure-as-code practices to ensure a predictable and accelerated time-to-value for customers.
The AI Solutions Architect will lead the transformation of business workflows by designing and deploying intelligent automation and agentic AI solutions. They will also mentor cross-functional teams on AI best practices and ensure all initiatives adhere to security and governance standards.
Design, build, and evolve modern cloud-native platforms while maintaining CI/CD pipelines and GitOps workflows. Collaborate with software engineers to ensure platform reliability, scalability, and security while mentoring junior team members.
Design, develop, and maintain scalable ETL/ELT pipelines while building data processing solutions using Python and Apache Spark. Collaborate with cross-functional teams to implement cloud-native data architectures and ensure high performance across the data ecosystem.
Design and optimize agentic workflows using LLMs across chat, meeting preparation, and recommendations. Advance voice-enabled agents by managing real-time conversation pipelines, transcription, speech synthesis, and dialogue management.
The Senior Solutions Consultant will partner with Sales and strategic partners to translate client needs into compelling DevOps and Application Delivery Management solutions. They will lead discovery sessions, design architectures, and deliver tailored demonstrations to drive business impact and buying decisions.
Design and build production-grade systems while owning the entire lifecycle from problem definition to deployment and operations. Work across application services, infrastructure, data pipelines, and machine learning systems to improve reliability and performance.
The Project Manager will define, plan, and supervise project plans while coordinating teams to meet scope, cost, and timeline objectives. They are also responsible for maintaining project documentation and providing regular progress reports to clients.
The Senior Presales Engineer leads technical discovery, designs architectures, and delivers product demonstrations to drive the technical win for new business. They partner with Account Executives to provide technical expertise, guide customers on API usage, and act as a trusted advisor throughout the sales cycle.
You will lead the development of complex .NET microservices and React frontends while leveraging AI agents to accelerate feature prototyping and testing. You are responsible for defining architectural patterns and ensuring that AI-generated code meets high standards for security, performance, and maintainability.
The Lead Software Engineer will architect, design, code, and test robust software solutions while ensuring compliance with regulatory standards. They will also investigate complex field issues to drive root cause analysis and champion software development best practices.
Design and build secure cloud-to-cloud and cloud-to-on-premise integration architectures and iFlows. Gather business requirements from stakeholders, map them into technical specifications, and provide support by troubleshooting complex errors.
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The candidate will inspect building structures to assess integrity and perform cause and origin analysis of failures. They are also responsible for preparing comprehensive technical reports and providing expert testimony when required.
The Controls Engineer will support MES-to-PLC integrations and maintain automation system reliability in a high-volume manufacturing environment. They will collaborate with engineering and production teams to troubleshoot issues, optimize manufacturing processes, and ensure data integrity.
You will act as a subject matter expert for Twilio's APIs and SDKs while resolving complex technical issues for customers and partners. Additionally, you will collaborate with internal Product and Engineering teams to report bugs and contribute to technical knowledge bases.
Design and build production-grade AI automations by integrating Python, REST APIs, and Large Language Models into end-to-end operational workflows. Manage the full lifecycle of automation solutions, including technical design, deployment, monitoring, and hand-off to operations teams.
The ServiceNow Architect will lead the implementation and optimization of AI-powered capabilities, including generative AI workflows and intelligent automation. They will design scalable solutions, manage custom applications, and ensure all configurations align with federal security and compliance requirements.
Define the product roadmap and architecture for margin financing, clearing, and settlement systems within the core trading infrastructure. Lead the full product lifecycle while ensuring system integrity, performance, and regulatory compliance.
Contributors will annotate or label text, images, and audio to train AI systems while evaluating the quality and relevance of search results and chatbot responses. They will also create and test prompts to improve large language models and ensure content accuracy.
You will design and optimize backend software solutions while leveraging AI tools to improve code quality and reduce technical debt. The role involves collaborating with engineering teams to ensure scalable, secure applications and documenting technical solutions.
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The AI Operations Engineer will drive the adoption of agentic AI platforms by partnering with internal departments to implement high-impact use cases and optimize operational velocity. They are responsible for establishing AI financial observability, managing vendor risk, and building repeatable IT workflows to ensure secure and efficient AI integration.
You will design and own data contracts and processing semantics to ensure data correctness across the lifecycle of member marketing and coverage eligibility. You will also lead technical discovery and delivery while modernizing legacy data flows into observable, event-driven integrations.
You will build and enhance scalable Golang microservices to power core business systems while automating operational workflows to improve data accuracy. Additionally, you will collaborate with data and AI teams to integrate AI-driven solutions for process automation and anomaly detection.
You will manage data integration for utility customers by reviewing incoming data, ensuring quality standards, and configuring the platform. Additionally, you will identify opportunities to automate manual processes and improve internal tooling to enhance data onboarding efficiency.
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