6 microservices engineer jobs at 4 companies in Maple Bluff, WI
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Staff Software Engineer
Austin or Madison
HybridFull Time
5+ YOE5+ years software engineering experience; deep expertise in backend and frontend, relational and non-relational databases, cloud platforms (GCP), microservices, observability, and strong communication and mentorship skills.
Python, ReactJS, GCP (Google Cloud Platform), Kubernetes, Cloud Functions, SQL, ORMs
2mo
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Software Developer 2
Monroe, Wisconsin, United States
OnsiteFull Time
5+ YOEBS or equivalent, 5+ years software development experience, 3+ years with .NET Core/C#, REST APIs, microservices, MySQL/Dynamo, Azure DevOps, Git, AWS; strong problem solving, Agile collaboration, and mentoring ability.
.NET Core, C#, RESTful API, Python, microservices, MySQL, Dynamo, Azure DevOps, Azure Pipelines, Git, AWS, CI/CD
3w
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Senior Java Developer
Madison, Wisconsin, United States
$61k-$104k/yr HybridFull Time
Experience with microservices, AWS, JDK 17, JUnit, Spring Boot, Postgres, Docker, Git/GitLab/GitHub, CI/CD, Sonar; payments domain and project lead experience preferred; testing with JMeter/Playwright; AI tool (Claude) preferred.
Microservices, AWS, JDK 17, JUnit, Spring Boot, Postgres, Sonar, CICD, Docker, GitHub, GitLab, Git, JMeter, Playwright, Claude
3mo
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Engineer II
Austin or Madison
OnsiteFull Time
3+ YOE3+ years professional software development; experience with Python and ReactJS preferred; strong SQL, ORM and NoSQL knowledge; experience with microservices; clear technical communication and on-call participation.
Python, ReactJS, SQL
3mo
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Engineer II
Madison or Austin
OnsiteFull Time
3+ YOE3+ years professional software development experience; preferred Python and ReactJS; strong SQL, ORMs, and non-relational database knowledge; microservices experience; clear technical communication and on-call participation.
Python, ReactJS, SQL, ORMs
2mo
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Director of Applied AI & ML Engineering
Irving or Denver or Middleton or Seattle
HybridFull Time
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.
MLflow, Kubeflow, SageMaker, APIs, Microservices, CI/CD, Containerization