Top Remote Software Engineer Jobs in Detroit, MI

Architect and develop foundational edge-computing runtime and integration platforms for connected-home devices. Build software models for device, spatial, and occupancy data; prototype and productionize new concepts; evaluate architectures; and provide technical leadership through design reviews, coding standards, mentoring, and cross-functional collaboration. The role spans edge computing, IoT, distributed systems, embedded environments, intelligent agents, networking, and secure systems within an exploratory R&D organization.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Design, implement, and operate low-level components of Azure Storage distributed file systems. Define requirements, produce designs, write and reuse high-quality code, break down work, estimate tasks, and act as an on-call DRI to monitor and restore services. Drive reliability, performance, observability, and scalability improvements.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Develop, test, and maintain web applications across the full application lifecycle. Write clean object-oriented code, implement REST APIs, work with relational and NoSQL databases, deploy to cloud-native infrastructure, participate in Agile teams, support production systems (on-call), and create automated tests for reliability and performance.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

Lead technical direction and execution for Code Plane products (Batch Changes, Agentic Batch Changes, Code Monitors, Code Insights, src CLI). Translate customer feedback into roadmap, ship agent-focused features, mentor engineers, own architecture and quality, participate in on-call, and partner with Product, Design, and Customer teams to deliver scalable AI-agent developer tools.

Design and build scalable log ingestion pipelines, ensure system reliability, and optimize performance in a high-throughput environment.

The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.

Develop the interface for an AI-native observability platform. Responsibilities include building features, debugging, and working on real-time streaming functionalities.

Build and operate backend and platform services for the Wikidata Query Service and related data pipelines. Improve reliability, scalability, observability, and automation; respond to incidents; support migrations and deployments; integrate with other Wikimedia systems; participate in design, code review, documentation, and knowledge sharing.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network and product requirements into computational models, improve solution quality, runtime, scalability, and explainability, and evolve solver architecture for reliability under increasing complexity and load. The role also involves managing priorities, timelines, deliverables, and maintaining production software.

Build and operate multicloud Kubernetes infrastructure and platform capabilities across commercial, government, classified, and disconnected environments. Responsibilities include cloud foundations, networking, identity, cluster lifecycle, packaging, GitOps delivery, infrastructure-as-code, policy enforcement, staged rollouts, observability, incident response, and backup/recovery. The engineer will also create self-service infrastructure primitives for internal engineering teams and support reliable fleet-scale deployments.

The Senior Software Engineer role involves modernizing healthcare payment systems using C#, .NET, SQL, and cloud technologies while leveraging AI tools for efficiency.

Build and maintain backend services, APIs, relational database integrations, automated tests, and Blazor web interfaces. Implement features and bug fixes, participate in code reviews, improve observability, and help operate deployments using containers, CI/CD pipelines, and Kubernetes. The role is designed for early-career engineers who will collaborate with senior team members, use AI coding assistants, document their work, and progressively take ownership of larger platform components.

Lead the architecture and modernization of a complex enterprise SaaS platform while remaining hands-on with critical software design and development. Define technical direction, improve scalability, reliability, security, performance, and maintainability, and guide design and code reviews. Partner across engineering and product teams, resolve complex technical challenges, establish engineering standards, mentor engineers, and translate architectural strategy into practical delivery.

Own the architecture and technical direction of conversational AI and voice-ordering systems. Design reliable, low-latency backend services for live drive-thru traffic, lead cross-system integrations with POS and hardware, improve AI evaluation and observability, mentor engineers, and resolve complex production issues involving real-time audio, distributed services, and third-party integrations.