Top Remote Software Engineer Jobs in Ann Arbor, MI

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Lead and build a new Trust & Safety engineering domain: design and implement systems to detect and mitigate fraud, billing anomalies, and credential abuse. Architect product and operational solutions, mentor engineers, define processes, and deliver scalable, auditable safety tooling across internal and external workflows.

Lead developer distribution strategy and a cross-functional team to drive developer adoption of DNSid via SDKs, docs, portals, standards work, integrations, and measurable adoption signals while staying hands-on technically and managing hiring and performance.

Lead security architecture and threat modeling for the DNSid platform. Design cryptographic core, build secure SDKs (TypeScript, Go, Python), enforce supply-chain and deployment security, partner on standards (IETF), and own org-wide security posture including secrets management, SOC 2 readiness, and incident response.

The Senior Software Engineer will design and implement solutions for a restaurant platform, enhance performance and collaborate with teams to solve challenges.

As a Staff Software Engineer, you'll develop full-stack software applications, mentor team members, and participate in design discussions while advocating for best coding practices.

As a Staff Software Engineer, you will build a new venture from the ground up, collaborating with a small team to create functional prototypes and ensuring flexible architecture, utilizing AI tools for development efficiency.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Lead the design and delivery of scalable data platform services, guide engineers, and improve engineering practices while collaborating with cross-functional teams.

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

Join the Query Integration team to enhance MongoDB's query engine, integrating features, improving performance, and contributing C++ code with a focus on database systems.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

The Senior Software Engineer will design backend services, improve data pipelines, and enhance reporting infrastructure while mentoring other engineers. This role supports capital partners by ensuring accurate data flow through Upstart's platform.

Lead the technical direction of Care & Onboarding platforms by driving architectural decisions, overseeing large initiatives, and enhancing engineering quality.

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.

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.

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.

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.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

As a Senior Software Engineer, you will build and integrate marketing technology stacks, lead technical projects, collaborate with cross-functional teams, and foster a high-performing engineering culture.

The Senior Software Engineer will build user features using Golang and cloud technologies, lead tool implementation, and collaborate across teams to enhance productivity.

Build and scale full-stack customer and agent support experiences across React/TypeScript frontends and Go backend services. Own APIs, integrations, and AI/ML vendor integrations, drive CX outcomes through experimentation and metrics, improve reliability through on-call incident response, and collaborate with Product, Design, and Ops to deliver measurable product outcomes.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.