Top Remote Software Engineer Jobs

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Build simulation and planning systems for complex communications networks. Develop tools that model hypothetical scenarios, vary configurations and assumptions, compare outcomes, surface tradeoffs, and identify risks. Design scalable, reliable backend systems for complex, evolving network states while collaborating across product engineering to integrate capabilities into broader workflows. Responsibilities span system design, implementation, testing, debugging, and operational support.

Designs, develops, deploys, and supports robust cloud-native backend systems and APIs. Owns the full software development lifecycle, including architecture, reliability, fault tolerance, deployment, and optimization. Collaborates with stakeholders on deployment strategies, mentors junior engineers, and develops distributed systems serving global customers. The role also involves cloud infrastructure, CI/CD, event streaming, data ingestion, observability, and applying AI-assisted development or AIOps practices.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Build and operate Modular’s multi-cloud, multi-tenant platform for distributed LLM inference. Responsibilities include developing fault-tolerant, low-toil backend services across cloud and hardware environments; improving observability from requests to kernels; optimizing cold starts; and creating Helm charts and Kubernetes operators. The role requires backend engineering, distributed systems, cloud infrastructure, Kubernetes operations, and machine learning experience.

Own and scale React Native mobile applications across multiple custom-branded client apps. Manage features end to end, including requirements, architecture, development, testing, release pipelines, App Store and Google Play submissions, production support, and rollbacks. Debug React Native and native platform issues, contribute to system design and code quality, and collaborate with leadership, clients, and engineering teammates. Help consolidate legacy systems and advance service-based architecture.

Designs, develops, tests, deploys, and optimizes customized Salesforce solutions using Apex, Visualforce, Lightning Web Components, declarative Flows, and integrations. Collaborates with stakeholders to translate requirements into scalable solutions, leads technical standards and code reviews, manages testing and CI/CD deployments, documents implementations, and supports Salesforce platform improvements. The role requires expertise across Salesforce clouds and CPQ, including Partner Community quoting integrations.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Designs and implements intelligent automation across ITSM, IT operations, observability, asset management, and employee support. Builds AI-assisted workflows, self-service capabilities, integrations, APIs, event-driven automations, automated remediation, and predictive operations. Partners with infrastructure, security, service desk, and business teams to modernize ITSM platforms, improve service delivery, reduce manual work, and measure operational outcomes. Ensures solutions meet security, governance, compliance, documentation, and audit requirements.