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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Ensure the continuous and on-time delivery of application releases for mission-critical services. Manage infrastructure as code, automate deployment pipelines, and collaborate with engineering teams to streamline build processes.
Develop scalable, responsive, and accessible front-end solutions using React, TypeScript, and JavaScript. Integrate internal and external APIs to create dynamic, logic-driven email experiences and maintain modular design systems.
The Lead Salesforce Engineer will perform hands-on development, configuration, and administration of the Salesforce platform. They will also collaborate with cross-functional teams to translate business requirements into scalable, well-architected solutions.
Design, develop, and maintain scalable web applications and backend services using C#, Angular, and SQL Server. Collaborate with cross-functional teams to deliver enterprise-grade solutions while leveraging AI-powered tools to enhance productivity.
Develop and maintain C# services, APIs, and cloud-based enterprise integrations using Microsoft Azure. Implement AI solutions, Copilot Studio agents, and automation workflows to support business processes.
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Lead and support enterprise data platform migration initiatives while developing and optimizing DBT models within Snowflake. Design scalable data solutions and establish data quality, governance, and operational excellence standards.
The role involves improving automation for secret rotation and managing cloud resources within AWS environments. You will also analyze logs using Kibana and utilize AI-powered tools to enhance platform reliability and engineering productivity.
Design, build, and maintain DBT models on Azure Databricks using Medallion Architecture and Unity Catalog. Implement AI-assisted development strategies to enhance code quality, productivity, and data governance standards.
Design, develop, and maintain high-quality iOS applications while leading feature development from design to delivery. Collaborate with cross-functional teams to integrate backend services and AI/ML-powered solutions using modern architectural patterns.
Design, build, and operate scalable cloud platforms while ensuring the reliability and performance of distributed production systems. Manage containerized environments, implement observability practices, and participate in on-call rotations to resolve production incidents.
The Senior Data Engineer will design, develop, and maintain complex data ingestion pipelines and Databricks Lakehouse architectures. They will also perform database performance tuning, query optimization, and collaborate with engineering teams on data access and migration initiatives.
Lead the design and implementation of AI, automation, and enterprise application solutions within finance and treasury technology environments. Drive end-to-end automation initiatives and AI-enabled workflows to improve operational efficiency and decision-making.
Lead and mentor a team of data engineers while owning the end-to-end architecture and design of the data platform. Drive technical excellence, oversee data migration strategies, and ensure the implementation of scalable data pipelines and enterprise solutions.
The role involves owning the end-to-end delivery of data pipelines and products from design through deployment and production support. You will also be responsible for executing large-scale data migrations and managing infrastructure-as-code solutions.
Design and implement end-to-end integrations between internal platforms and third-party systems using various synchronization strategies. Manage API contracts, data quality, and system observability to ensure scalable and resilient integration solutions.
Design, build, and maintain scalable backend services using Java and Python while managing distributed systems and data pipelines. Take full ownership of features throughout their lifecycle and collaborate with teams to implement AI-assisted development workflows.
The role involves administering and maintaining Kubernetes environments while implementing GitOps workflows using ArgoCD. Additionally, the engineer will develop and troubleshoot CI/CD pipelines and collaborate with technical teams to resolve operational issues.
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Develop and customize scalable Salesforce solutions using Apex, Flows, and Lightning Web Components. Design and implement integrations with external systems while applying best practices for architecture and security.
Develop, maintain, and deploy full-stack applications while collaborating with cross-functional teams to solve operational challenges. Ensure high-quality code, perform troubleshooting, and mentor other developers to support organizational technology goals.
Design, develop, and maintain business applications using the Microsoft Power Platform. Build and customize solutions while integrating APIs and backend services using .NET and C#.
Develop and maintain web applications using .NET and Angular while designing and integrating REST APIs. Collaborate with cross-functional teams using Agile methodologies to ensure high-quality performance of SQL databases.
The role acts as a bridge between business stakeholders and technical teams to define data products and analytics solutions. Responsibilities include performing data profiling, leading conceptual data modelling, and supporting the migration of legacy reports to modern BI dashboards.
Build, deploy, and maintain production-grade machine learning models and pipelines using Python and cloud platforms. Monitor model performance and collaborate with cross-functional teams to deliver scalable, data-driven solutions.
Develop and maintain modern web applications using Angular 19+ while ensuring high performance, accessibility, and quality. Collaborate with cross-functional teams including backend, UX/UI, and QA to deliver reliable digital products.
Design and own backend services in NestJS and TypeScript while making independent architecture decisions for scalability and reliability. Define technical direction and enforce quality standards across both AI-generated and manually written code.
Design and maintain AI-powered applications and scalable cloud-native data platforms using Python, TypeScript, and AWS. Build and optimize end-to-end data pipelines while developing production-ready LLM-powered solutions and agentic AI systems.
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The Systems Engineer will support the sales organization by leading technical aspects of the sales cycle, including demos, proposals, and proof-of-concept setups. They will also act as the primary technical contact for post-sales support and customer integration issues.
Design and develop modern, user-friendly business websites from initial concept through final launch using CMS platforms like WordPress. Collaborate with stakeholders to translate business objectives into digital experiences while optimizing for SEO, performance, and accessibility.
Design and maintain scalable cloud infrastructure across AWS and GCP using Kubernetes orchestration and Infrastructure as Code. Implement advanced monitoring, database management, and AI-driven DevOps automation to ensure platform reliability and security.
Design and lead the architecture of secure, scalable, cloud-native SaaS applications using .NET, Angular, and AWS. Mentor engineering teams and champion AI-first software development to improve productivity and software quality.
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