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 role involves full stack Java development, including building and maintaining APIs and integrating with message brokers. You will be responsible for utilizing Spring Boot and AWS to deliver scalable software solutions within an Agile environment.
The role involves defining backend architecture and leading the incremental migration of a monolith into well-bounded services. You will also establish platform standards, implement event-driven architectures, and mentor the team while utilizing agentic AI tools in daily development.
The Senior Data Engineer will lead the implementation of modern data engineering solutions using Microsoft Fabric and the Azure data platform. They are responsible for building and maintaining scalable data pipelines, integration processes, and analytics-ready platforms while ensuring data quality and governance.
The Mainframe Engineer will lead the design, programming, and support of tools for the Claims Application. They will also coordinate project designs and implementation plans while interfacing with distributed applications.
You will build and maintain Unity-based field applications while managing client-to-cloud data synchronization and backend service integration. Additionally, you will implement automated testing and leverage AI-assisted development tools to ship high-quality features across the full stack.
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You will own the engineering delivery infrastructure, including CI/CD pipelines, developer environments, and test automation to improve team velocity. You will embed with product teams to identify and resolve friction points while leading the design and rollout of scalable delivery systems.
The role involves partnering with Legal and Compliance teams to design and implement AI-driven solutions that enhance operational efficiency and scalability. You will be responsible for developing benchmark frameworks and deploying advanced AI systems, including LLMs and agentic workflows, to support compliance policy reviews and legal operations.
Design, build, and operate scalable backend services and APIs while maintaining GraphQL schemas for consumer-facing platforms. Lead complex server-side development and ensure operational excellence through proactive monitoring, incident response, and cross-functional collaboration.
The Senior Data Analyst will partner with clinical and commercial stakeholders to translate business questions into actionable analytical approaches. They will build scalable reports, dashboards, and models while communicating data-driven insights to both technical and non-technical audiences.
Design and deliver production-ready GenAI and Document AI solutions from concept to deployment. Develop Agentic AI workflows and implement scalable LLM and RAG architectures using cloud platforms.
The engineer will develop, maintain, and validate complex power system models while performing advanced electrical studies for transmission and generation projects. They will also collaborate with U.S. utilities and ISOs/RTOs to provide technical reports and mentorship to junior staff.
The engineer will lead and support the design of high-voltage and extra-high-voltage substations, including developing electrical layouts, protection schemes, and technical documentation. They will coordinate multidisciplinary engineering activities and provide technical support throughout the project lifecycle for U.S.-based power and energy infrastructure.
Design, develop, and test custom software solutions while translating system requirements into detailed design specifications. Provide primary support for application releases into production environments and collaborate within team discussions.
The Salesforce Developer and Administrator will manage and optimize Sales, Service, and Experience Cloud platforms while leading a major telephony migration. They will also be responsible for building custom automations, maintaining Apex code, and integrating Salesforce with external APIs.
The Project Engineer will lead and deliver complex infrastructure projects independently while providing technical leadership to junior team members. They are responsible for designing, implementing, and troubleshooting infrastructure solutions across diverse client environments.
You will own AI products from problem definition through production, working directly with founders and subject-matter experts. You are responsible for designing and building systems using LLMs and agents while ensuring high-quality, reliable, and scalable production performance.
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You will own and evolve infrastructure-as-code, CI/CD pipelines, and observability tooling to ensure reliable product delivery. Additionally, you will collaborate cross-functionally to implement system hardening, security practices, and AI-driven operational workflows.
You will act as a strategic advisor to prospects and customers, identifying high-value automation and AI opportunities to drive business outcomes. You will collaborate with the sales team to define account strategies, deliver technical demos, and conduct process discovery sessions to build automation backlogs.
Design, develop, and support integrations between Oracle and third-party applications. Collaborate with functional and technical teams across different geographies to ensure effective integration performance.
Design and implement AI-driven solutions, intelligent agents, and automated workflows to optimize operational processes. Integrate various platforms and APIs while generating actionable insights and intelligence for the organization.
Define and lead the multi-year product vision and strategy for the agentic AI ecosystem while managing a team of product managers. Oversee the business performance, scalability, and innovation of the AI agent orchestration platform to ensure alignment with company growth objectives.
You will own ambiguous, high-impact technical problems from initial framing through launch while leading cross-functional teams. You are responsible for setting technical direction, improving engineering practices, and mentoring peers to ensure scalable and reliable system performance.
Design, develop, and support Amazon Connect solutions, AWS integrations, serverless architectures, and infrastructure-as-code deployments. Build and maintain secure cloud services, CI/CD pipelines, automated tests, and production systems, while troubleshooting issues and collaborating directly with international clients.
Lead customer-facing technical engagements and design functional test solutions, including system architectures, software, automation, and integrations. Manage solution delivery from opportunity qualification through deployment and acceptance, coordinating customers and internal teams while supporting sales growth.
The role involves designing, developing, and maintaining scalable data pipelines and cloud-based data platforms on GCP. You will also implement data governance, security controls, and automation to ensure high-quality, reliable data delivery.
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Independently deliver and troubleshoot infrastructure projects across multiple client environments, covering networking, servers, virtualization, cloud, Microsoft 365, and related technologies. Validate project requirements, maintain documentation and status updates, assist with escalations, and provide technical support and knowledge transfer to other teams.
Gather and document business requirements, analyze Talent processes, and recommend improvements using SAP SuccessFactors and related technologies. Coordinate system and data integrations, testing, stakeholder communication, change management, and issue resolution to support successful project delivery.
Architect and lead the decomposition and migration of payment systems into Spring Boot microservices on AWS, improving throughput, uptime, resilience, and recovery. Build and lead release engineering capabilities, develop CI/CD frameworks and automation tools, and coordinate delivery strategy with engineering, architecture, product, cloud, and security teams.
Build, maintain, and improve the software platform using Elixir, working across the application and owning development tasks from problem definition through delivery. Collaborate with product managers and the broader team, maintain service integrations and PostgreSQL data layers, and contribute to reliable code, troubleshooting, and evolving engineering practices.
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