Top Software Engineer Jobs in Minneapolis, MN

Develop, test, debug, and maintain microservice-based applications; implement features and integrations using Java, Spring Boot, TypeScript/React, Node.js and AWS; participate in incident resolution, impact analysis, and team delivery practices; document work, monitor system health, and continuously expand technical skills.

Design, build, test, and maintain scalable big data and cloud-based analytic solutions. Architect data warehouses and pipelines, migrate legacy systems to cloud, deploy tools like Databricks/Snowflake, support production, and collaborate with cross-functional teams to deliver data-driven products.

Design, develop, and maintain automated E2E, integration, and API tests using Playwright, C# and TypeScript. Modernize QA practices for a legacy SaaS app, build test frameworks and tools, balance manual and automated testing, collaborate with engineers and product, and contribute to CI/CD and DevSecOps automation while leveraging AI-assisted tooling.

Design, develop, test, debug, and maintain software systems end-to-end. Implement cloud-native solutions, APIs, and infrastructure-as-code; troubleshoot incidents and defects, add observability, and follow CI/CD practices. Work independently on scoped and ambiguous problems, provide technical guidance and mentorship, collaborate with product and teams, and deliver reliable, well-tested software.

Design, develop, test, debug, and maintain end-to-end software solutions. Troubleshoot incidents, define technical requirements, mentor junior engineers, and contribute to delivery, architecture, and team practices using cloud, API, and observability tooling.

Design, develop, and maintain backend APIs, enhance performance and maintainability, and collaborate on B2B solutions to align backend architecture with product strategy.

Design, develop, and manage secure cloud platform services while leading a team, automating tasks, and deploying AI-powered solutions.

As a Software Engineer II, you will design and implement AI solutions, collaborate with stakeholders, and maintain code quality. You'll leverage cloud services and container orchestration, guide junior engineers, and ensure production standards.

Design, develop, configure, test, debug, and monitor software systems end-to-end. Define technical requirements, troubleshoot incidents, consult with users, and mentor junior engineers while delivering reliable solutions.

Join Travelers as a Software Engineer I to perform end-to-end engineering tasks using AI-driven tools across the software lifecycle. Responsibilities include design, development, testing, debugging, monitoring, incident resolution, and documentation. The role emphasizes continuous application of AI tooling, prompt engineering fluency, steady delivery, domain understanding, and collaborative problem solving.

Design, implement, test, and maintain cloud-native software solutions. Troubleshoot complex defects, build APIs and integrations, enable AI/LLM capabilities, mentor junior engineers, contribute to CI/CD and observability, and collaborate with cross-functional teams to deliver reliable systems.

The Software Engineer develops embedded software products, providing technical solutions and leading design reviews, working on software specifications and validation activities.

The role involves analyzing, designing, testing, and maintaining software systems, contributing to design and leading less complex components.

The Software Engineer will analyze, design, construct, test, and maintain software systems, supporting operations and collaborating with teams.

The Software Engineer will implement DevOps solutions for Big Data and manage technical discussions, tool selection, and system infrastructure while mentoring team members.

The Software Engineer II role focuses on software design and development for embedded systems, requiring experience in C and C++, problem-solving abilities, and teamwork.

Develop test software for various platforms, engage in sprint planning, collaborate with engineers, and apply software engineering methodologies to enhance product quality.

The Software Developer - Java will develop new application features, collaborate with teams, and produce technical documentation. Experience with Java, SQL, and related technologies is required.

Design and build enterprise web applications using Python backends and React front ends. Develop and consume APIs and microservices, apply cloud and DevOps practices (CI/CD, containers), collaborate with customers and cross-functional teams, and continuously learn and improve using AI-assisted development tools.

Design, implement, and optimize the distributed storage data path handling I/O from network interface to persistent cluster storage. Work on distributed caching, metadata, placement algorithms, NVMe-oF/RDMA performance tuning, data integrity features (erasure coding, snapshots), lock-free concurrency, scalability, and resilience to achieve low-latency, highly durable storage.

Design, develop, and maintain full-stack Strategic Pricing applications. Build React/TypeScript front ends and Spring Boot/Python back ends, write tests, automate deployments (CI/CD), integrate event-driven/pub-sub systems (Kafka), optimize performance and scalability, produce documentation, and provide technical support and code reviews to uphold engineering standards.

The Software Engineer will develop high-quality responsive UIs for web/mobile, conduct user research, optimize applications, troubleshoot issues, and conduct code reviews.

The Software Engineer for Data Infrastructure & Acquisition will handle data collection for model training, manage cloud infrastructure on GCP, and collaborate with the AI team to enhance data quality and scalability.

The Principal Software Engineer will lead architecture and design of AI applications, ensuring scalable systems while mentoring teams and driving best practices in full stack development.

Design, implement, and maintain Java-based microservices and RESTful APIs across cloud-native environments. Build CI/CD pipelines, test automation, and observability integrations. Collaborate in Agile teams, apply security and Domain-Driven Design principles, troubleshoot production issues, and leverage AI developer tools to improve productivity.