Top Remote Software Engineer Jobs in Detroit, MI

Leads the architecture and development of Greyspace, a realistic simulated internet for cyber ranges. Designs distributed services, APIs, orchestration, networking behavior, isolation boundaries, and operator workflows. Builds and reviews production software, validates DNS, TLS, web, and mail services, and ensures reliability through testing, observability, performance validation, recovery procedures, and deployment readiness. Partners across Product, Security, infrastructure, and engineering teams while mentoring engineers and driving technical standards.

Develop and enhance primarily front-end financial and benefits products using React, JavaScript, TypeScript, and Node.js. Build scalable web applications, APIs, integrations, and infrastructure; contribute to product requirements; write automated tests; troubleshoot production issues; and support secure, high-availability systems. Collaborate cross-functionally in an agile environment while working with databases and cloud technologies.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Lead test strategy for Akamai’s custom Linux kernel and OS imaging process. Design scalable automated test frameworks, validate hardware compatibility, performance, reliability, and security, and develop test suites for new hardware platforms. Troubleshoot low-level system issues, enhance build and continuous testing infrastructure, establish quality standards, and mentor junior engineers.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, PCIe, GPUs, firmware, drivers, and software. Develop automation, telemetry, diagnostic tools, operational playbooks, and escalation procedures to improve observability and reduce mitigation time. Partner with engineering teams and manufacturers to resolve systemic issues affecting AI training stability, GPU availability, and customer SLAs.

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, develop, test, and deliver enterprise applications, APIs, services, integrations, and web applications. Own projects from architecture and technical design through production release and handoff. Troubleshoot complex issues across applications, databases, integrations, and cloud environments; contribute to architecture, code reviews, testing, CI/CD, documentation, and production support. Partner with Product, QA, Architecture, and engineering teams to deliver scalable, secure, maintainable solutions.

Design, build, and ship full-stack monetization features spanning payments, subscriptions, checkout, entitlements, reconciliation, and payouts. Integrate payment providers and third-party APIs while ensuring idempotency, retry handling, webhook reliability, and graceful degradation. Instrument features to improve conversion and payment recovery, collaborate with product, design, finance, and partnerships, and mentor engineers while using AI-assisted development.

Develop and maintain a production AI-enabled software platform in a federal/DoD environment. Investigate defects, troubleshoot application and system issues, perform root-cause analysis, implement and deploy fixes, support incidents and releases, and maintain technical documentation. Conduct quarterly AI model tuning by evaluating behavior, adjusting prompts and configurations, validating changes, monitoring regressions, and ensuring security, governance, traceability, and change-control compliance.

Develop and test systems-level C++ software that defines and enforces endpoint behavior. Initially, the engineer will own testing infrastructure and coverage for two active projects, then contribute to feature development. The role requires strong C++ fundamentals, automated testing experience, and interest in operating-system concepts such as processes, file systems, services, and APIs. Work includes learning unfamiliar systems, collaborating effectively, and supporting reliable endpoint security and management capabilities.

Develop and architect scalable Java software for NinjaOne’s endpoint management platform. The role involves building high-availability services, leading technical initiatives, making architectural decisions, improving quality practices, collaborating cross-functionally, mentoring engineers, and addressing scalability, performance, and technical debt challenges.

Develop and scale backend patch-management software using Java and Kotlin for millions of endpoints. Implement enterprise software, design scalable systems, build REST services, work with relational databases and caching systems, and uphold rigorous testing and quality standards. Collaborate with AI workflow, server, platform, design, and product teams. React or Angular experience may support occasional frontend work.

Design, develop, launch, and maintain scalable backend systems and APIs used by merchant and partner integrations. Collaborate with engineers and stakeholders, balance speed with system quality, debug code, conduct code reviews, and write tested, extensible software. The role requires experience with distributed systems, Python or Kotlin, AWS, MySQL, and Kubernetes, along with strong communication and ownership of professional growth.

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

Design, develop, secure, and maintain mission-critical Microsoft-platform software for DoD programs. Build C# and .NET applications, responsive JavaScript and EXT JS interfaces, REST APIs, and optimized SQL Server databases. Apply secure coding, STIG, RMF, threat modeling, vulnerability remediation, documentation, and compliance practices. Integrate Kiro AI capabilities, collaborate with cybersecurity and engineering teams, and support deployment and sustainment in classified or controlled environments.

Build Exoware’s production infrastructure from the ground up, including deployment, scaling, upgrades, recovery, CI/CD, monitoring, telemetry, security, and operational tooling. Design reliable systems across Kubernetes, ECS, cloud services, networking, and storage while writing software to automate operations. The role requires architectural ownership, production infrastructure experience, and the ability to improve the underlying distributed systems through production insights.

Lead front-end architecture and cross-team technical initiatives for the NodeZero platform. Build scalable React and TypeScript systems, reusable components, developer tooling, and shared frameworks while improving performance, reliability, accessibility, observability, and CI/CD workflows. Mentor engineers, establish engineering standards, guide technical strategy, reduce technical debt, and collaborate with Product, Design, Platform, Security, and engineering teams.

A 12-week software engineering internship involving feature development, software testing, and continuous production deployment. Interns own projects end-to-end, collaborate across engineering and business teams, and receive mentorship while gaining experience with product development and reliable, real-time software systems.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

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.