Top Senior Software Engineer Jobs in Ann Arbor, MI

Design, implement, and operate large-scale distributed storage systems ensuring data durability, availability, and performance. Build and maintain replication, erasure coding, and lifecycle systems; write high-quality Go/Rust/C++ code; participate in on-call rotations; troubleshoot production incidents; collaborate with networking, hardware, and capacity teams; lead scoped projects and drive infrastructure evolution.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

The Software Engineer will enhance developer experience at Benchling by building production release tooling, improve workflows, and collaborate with teams to scale processes. Responsibilities include developing efficient development tools and championing engineering patterns.

Manage clusters, develop with Golang, provision infrastructure with Terraform, and enhance performance of the platform handling untrusted code.

The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.

Design and implement CIAM backend services for authentication and authorization. Integrate identity systems, manage secure flows, and automate infrastructure.

Build and maintain web platforms for restaurant discovery, onboarding, and data quality. Collaborate with engineers, PMs, designers, and researchers; work full-stack when needed; ship impactful features; run experiments with guests and restaurants; champion development, deployment, and quality best practices.

Seeking a Software Engineer/Senior Software Engineer to design, develop, and deliver quality backend services and APIs using Go, with emphasis on Kubernetes and cloud services.

As a Fullstack Software Engineer, you'll design, develop, and maintain scalable frontend and backend systems while collaborating across teams.

The Senior Embedded Controls Software Engineer will lead the development of embedded control software, collaborate with engineering teams, and maintain high quality solutions for suspension systems.

Lead the validation strategy for autonomous vehicle software, mentor team members, analyze autonomous behaviors, and develop testing strategies in this senior engineering role.

Design, implement, and validate 2D/3D computer vision algorithms; port research to production interfacing with depth sensors; optimize real-time perception for manufacturing; lead code quality and reviews; perform hands-on field validation and troubleshooting.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

Lead the development of Android Automotive software for ADAS visualization. Define architecture, mentor engineers, and ensure high-quality software delivery.

The role involves designing and developing embedded control algorithms for vehicle and non-vehicle applications, while providing technical leadership. Responsibilities include testing complex controls, collaborating with engineers, and ensuring compliance with specifications.

Lead Engineer responsible for end-to-end feature design, development, testing, and delivery of a cloud-based healthcare platform. Work full stack from database to frontend, design scalable data services and APIs, mentor junior engineers, ensure testing and security best practices, and deploy to modern cloud infrastructure.

Lead ownership of Pluralsight's Search backend: build and maintain scalable, reliable ingestion and query systems, design and analyze experiments, consume and produce platform data, collaborate cross-functionally, and participate in on-call rotation to resolve alerts and improve the system.

Lead architecture and technical strategy for an internal platform that provides operational visibility into high-volume fund movements. Drive AI-first tooling, build fault-tolerant search and remediation systems, align cross-functionally, and elevate engineering quality through mentorship, design reviews, and process improvements.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Lead and coordinate embedded controller product release activities, create and manage development and release plans, track status and risks, drive issue investigations and root cause analysis, support agile ceremonies, mentor team members, and ensure on-time, high-quality delivery across software, hardware, and calibration integration.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The role involves building core infrastructure for orchestrating intelligent agents, defining platform primitives, and ensuring systems scale and reliability. Collaboration with internal teams and end-to-end system ownership are essential.