Top Senior Software Engineer Jobs in Ann Arbor, MI

Join Vanta as a Senior Software Engineer to lead and mentor teams, driving projects on identity systems and improving security infrastructure.

Lead architecture and build scalable, secure production services while championing AI-native development. Mentor engineers, influence technical direction, review PRs, and help evolve a legacy monolith to a modern stack in partnership with product and exec leadership.

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.

As a Senior Software Engineer, you'll design and implement full-stack features, develop AI-driven workflows, and ensure code quality for a dental billing platform while collaborating with users to address their needs.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Design, develop, and maintain software in a Java environment. Collaborate with cross-functional teams, troubleshoot complex issues, and optimize performance.

As a Senior Software Engineer, you will lead frontend development, define architecture, optimize performance, and collaborate across teams to create user-friendly logistics applications.

Lead end-to-end platform engineering projects to build and operate a multi-tenant data lakehouse and scalable compute infrastructure, partner with cross-functional teams, improve reliability/observability, support platform users, and drive platform usability and ML/analytics enablement.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Build and ship full-stack features in weekly loops, owning problems end-to-end from stakeholder discovery to production, using TypeScript/Node backend and React/React Native frontends, leveraging AI-paired tools, and making scalable architectural decisions while collaborating with cross-functional teams.

Lead architecture, delivery, and operation of large distributed telemetry databases. Define technical strategy, SLOs/SLIs, and reliability practices; drive performance, cost, and observability improvements; lead incident response and cross-team projects; mentor engineers; and represent engineering to stakeholders.

As a Staff Software Engineer, you will architect and build high-impact systems, mentor engineers, solve complex technical challenges, and lead cross-organizational initiatives in a fast-paced AI infrastructure environment.

Lead architecture and implementation of scalable backend systems, distributed infrastructure, and APIs. Own large-scale projects from design to launch, enable low-latency real-time collaboration, integrate generative AI features, drive backend best practices, mentor engineers, and ensure reliability, performance, and security across products.

The Senior Software Engineer will design and develop IMS TM and DB-compatible technologies, providing architectural leadership and mentoring while optimizing mission-critical applications for modern environments.

Seeking a Senior Elixir Engineer to develop scalable systems and contribute to technical decisions within product groups, focusing on Elixir and cloud technologies.

Lead QA activities for an IAM program: design and implement QA methodologies, create and run manual and automated tests, perform code/product reviews, triage defects, validate functionality/performance/security, and support CI/CD, UAT, and release validation across Agile teams.

The Senior Software Engineer will develop reliable systems for IoT fleet management, create user interfaces, and support data engineering tasks.

As a Senior Software Engineer, you will architect and implement Python-based systems, lead feature design and delivery, ensure scalability and reliability, and mentor junior engineers.

The Staff Software Engineer will design and build scalable systems, lead architecture decisions, mentor engineers, and improve existing platforms using PHP, Node.JS, and AWS.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Provides cross-team technical leadership by architecting scalable systems, leading design reviews, resolving complex technical issues, shipping production code, mentoring engineers, reducing technical debt, and translating business priorities into technical roadmaps. The role requires hands-on full-stack software development, AI-paired delivery, strong communication, and influence without formal authority.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Leads a small engineering pod building and operating Humana’s NBA orchestration platform. Designs durable Temporal workflows, Node.js/TypeScript services, Kafka event pipelines, transactional outbox processing, activation integrations, acknowledgment and reconciliation workflows, and distributed-systems reliability controls. Provides hands-on coding, architecture leadership, observability, operational support, cross-team coordination, mentoring, and delivery accountability across the member action lifecycle.

Lead design and implementation of high-throughput, low-latency programmatic bidding systems. Collaborate with ML engineers to deploy real-time inference, optimize distributed microservices, run experiments and quantitative analysis, and partner with product to ship scalable features. Foster operational excellence, mentor engineers, and continuously improve performance and reliability.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.