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 designing, building, testing, and maintaining modern software applications across backend systems, frontend applications, and cloud infrastructure in a hands-on consulting capacity. Engineers will collaborate with product teams to deliver scalable solutions while incorporating AI-enabled capabilities and modern engineering practices where appropriate.
The engineer will be responsible for designing and building the distributed systems layer powering the platform, focusing on real-time coordination for large user bases and managing distributed world state for artifacts, quests, and identities. This includes developing APIs for developer participation and orchestrating multiple AI agents within the system architecture.
The role involves technically leading the design and implementation of scalable, custom SaaS-based solutions tailored to client business objectives, requiring definition of technical requirements through discovery sessions. Responsibilities include developing and deploying custom software, integrations, and automation using React and Mustache while acting as the SaaS platform subject matter expert.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces to harden model reasoning. Daily tasks involve documenting failures related to Sunda grammar, syntax, and semantics to improve prompt engineering and evaluation metrics.
The specialist will converse with advanced language models on various language scenarios, verifying factual accuracy and logical soundness of responses. Daily tasks include capturing reproducible error traces and suggesting improvements to prompt engineering and evaluation metrics.
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The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. Daily tasks also involve suggesting improvements to prompt engineering and evaluation metrics based on model failures.
The role involves analyzing, developing, coding, testing, and maintaining complex software applications based on general requirements and specifications, while also mentoring junior team members and developing component designs. Responsibilities include participating in unit test case development, executing all levels of testing, and identifying continuous improvement opportunities.
The role involves designing, building, and maintaining robust backend systems, including developing and scaling REST APIs using Python and FastAPI, and architecting systems to handle large-scale datasets and high-throughput workflows. Responsibilities also include deploying and maintaining backend services on AWS, owning containerized deployments, and defining engineering standards for performance and observability.
The Lead Emulation Engineer will define and execute the end-to-end emulation strategy for the next-generation AI Inference ASIC, overseeing the Palladium Z3 cluster management and synchronization between design and software teams. This role involves leading the creation of test environments, developing comprehensive test plans, and leading deep-dive debugging sessions for complex SoC-level issues.
The Consultant will own the end-to-end delivery of high-value MVPs and automations across short sprints, focusing on building solutions like a Trust Engagement Database and developing Power Automate workflows and Copilot Agent assets. Responsibilities also include prototyping LLM-assisted Adverse Event triage workflows and wrapping up solutions as reusable, well-documented components.
The role involves designing, developing, deploying, and managing secure, scalable AWS cloud environments while supporting both cloud-native and hybrid workloads. Key duties include administering AWS services, managing IAM, building serverless applications, implementing IaC, and supporting Amazon Connect contact center environments.
This role involves defining and owning the end-to-end data and analytics architecture strategy, designing scalable batch, streaming, and real-time data systems, and establishing standards for data modeling and semantic layers. The architect will also be hands-on, prototyping critical data platform components and writing production-quality code for high-impact areas.
The Lead Engineer will design, build, test, and maintain modern software applications across backend and frontend systems, while actively participating in architecture discussions and code reviews. A key focus is leveraging AI-enabled tooling and agentic frameworks to enhance software delivery workflows and integrate AI capabilities into client solutions.
The role involves designing and implementing sediment investigation scopes of work, developing investigation campaigns, and engaging in the design of sediment remediation solutions for complex CERCLA and state equivalent sites. Responsibilities also include collaborating on client engagement, business development, and contributing to the growth of the Sediment Remediation Services group.
The role involves designing and governing the end-to-end architecture for Salesforce Data Cloud and Agentforce, focusing on data quality, security, and scalability for agent use cases and audience activation. Key tasks include defining target architecture standards, leading Agentforce design for intents and guardrails, and ensuring robust data integration and operational readiness.
The Solutions Architect will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, focusing on architecting scalable, secure deployments and building reliable agent applications. This involves hands-on work across infrastructure/platform engineering, agent logic development, and direct customer engagement.
The Tech Lead will be responsible for designing and building large-scale, production-grade web applications, owning front-end development, and driving technical excellence for one or more products. This involves architecting complex user interfaces from scratch, collaborating cross-functionally, and conducting code reviews to ensure high quality.
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The Solutions Architect will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems, focusing on architecting scalable, secure deployments and building reliable agent applications. Responsibilities span infrastructure engineering, agent development using modern frameworks, and leading technical customer engagement and assessments.
The engineer will act as the technical Subject Matter Expert for enterprise cybersecurity log data management solutions, focusing on implementing and configuring Palo Alto Networks XSIAM to enhance SOC efficiency and visibility. Key duties include designing security automation workflows, integrating XDR capabilities, and architecting sophisticated detection strategies and correlation rules.
The Controls Engineer will support the full life cycle of utility-scale Battery Energy Storage Systems (BESS) deployment, acting as the primary technical contact for controls implementation with various internal and external stakeholders. Responsibilities include reviewing contracts and design submittals, maintaining technical documentation, developing automation tools, troubleshooting network issues, and supporting site commissioning activities.
The Senior Engineer will be responsible for designing, developing, and operating significant areas of the company's routing services, including designing and implementing scalable services for API and routing engine tiers. Responsibilities also involve driving the design, development, and testing of Mapbox tools and participating in end-to-end feature implementation and on-call rotation.
The Solutions Engineer will collaborate with Account Executives to enhance the technical aspects of the sales process and work directly with customers to architect bespoke solutions. Responsibilities also include crafting technical demonstrations, creating enablement resources, and building self-service tools to empower customers.
Staff Software Engineers will operate as technical leaders, partnering with various departments to define architectures and drive large, cross-functional initiatives involving distributed systems for live auctions, payments, search, and growth funnels. They will own ambiguous, high-leverage technical problems from start to finish, setting long-term architectural direction and raising the engineering bar through mentorship and design rigor.
This role is focused on protecting and growing strategic customer accounts ($50K–$500K+ ARR) by driving measurable adoption across Go-To-Market teams and owning the customer journey from onboarding through expansion.
The Principal Software Engineer will define and evolve architecture for databases, microservices, and integrations, while owning mission-critical projects end-to-end from requirements to production. They will also troubleshoot complex performance and reliability challenges, drive improvements to CI/CD and observability, and collaborate with leadership to shape the technical vision.
The role involves leading electrical engineering design work across multiple concurrent projects, performing necessary calculations and system designs, and coordinating scope and design strategies with project managers and firm principals. Responsibilities also include assigning production work, reviewing technical accuracy, developing specifications, attending client meetings, and supporting proposal development.
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The engineer will support and maintain remote monitoring platforms, enforce change management standards, manage cybersecurity posture, and ensure infrastructure reliability across multiple client environments. This role also involves acting as an escalation point and interfacing directly with Managed Services clients when necessary.
The role involves designing, developing, and deploying cutting-edge AI and machine learning models utilizing advanced frameworks and cloud services like AWS, GCP, or Azure. Key tasks include implementing model monitoring, staying current with emerging AI research, and integrating these solutions into business applications.
The role involves validating a B2B problem where AI delivers measurable value and defining a product-first Minimum Viable Product (MVP). Tasks also include designing the data strategy, shipping a reliable prototype, and crafting an investor-ready technical narrative.
The role involves designing, developing, and maintaining server-side logic, implementing scalable components and APIs, and working extensively with relational and/or NoSQL databases for efficient data storage and retrieval. Responsibilities also include integrating third-party APIs, implementing security best practices, optimizing code for speed, and collaborating with front-end teams.
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