Top Remote Senior Level Python Jobs in Milwaukee, WI

As a Senior Integration Engineer, you will ensure seamless integration of our software with external systems for renewable energy assets, manage client onboarding, lead testing phases, provide ongoing support after integrations go live, and work collaboratively with clients and internal teams.

The Senior Backend Engineer in Adaptive Telemetry will design, build, and maintain systems for telemetry databases, ensure performance and reliability, mentor other engineers, and participate in on-call duties. Responsibilities include influencing the roadmap, iterating on features, and collaborating with the team while working in a remote-first environment.

As a Staff Software Engineer, you will design and implement scalable systems, mentor mid-level engineers, collaborate with cross-functional teams, and drive continuous improvement in code quality and engineering processes.

As a Web Software Developer, you will design, develop, and maintain web-based applications. Responsibilities include frontend development using HTML, CSS, and JavaScript frameworks, backend services using Node.js or Python, and database management with SQL or NoSQL technologies. You will implement security best practices and manage code using version control systems while collaborating with the team to deliver scalable solutions.

As a Senior Software Engineer, you will design and implement features for existing and new software products, perform coding, testing, and debugging, and interact with users to define system requirements. You will also complete documentation of installation and maintenance procedures.

As a Senior Software Engineer on the Identity and Observability team, you will design and implement software systems for the ngrok platform, collaborate with stakeholders, conduct code reviews, troubleshoot issues, improve customer satisfaction through data insights, and mentor other engineers.

As a Senior Engineer on the Core Data team, you'll design and build a Cloud Data Warehouse focused on incremental updates, develop ETL pipelines for petabytes of data, and collaborate to improve data processing and infrastructure scalability and efficiency.