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Internship Python And Kubernetes Software Engineer Data Jobs in Detroit, MI

Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js ... Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware ...

We are looking for a Senior Software Engineer - Data Platform with strong Java and Python experience to help design, build, and evolve production-grade data and automation solutions. This role is ...

Apply Early

Staff Software Engineer

Detroit, MI · On-site +1

$170K - $200K/yr

Minimum of 8 years working as a Backend Software Engineer in C#, .net, Python, Java, or other ... data warehousing, data pipelines, etc. * Experience with Docker and Kubernetes or equivalent ...

Big Data * Data Analysis * Data Acquisition Experience Required: * Engineer 3 Exp: Prac. In 2 ... Deep proficiency in Python (FastAPI/Django). * AI Orchestration: Advanced experience with LangChain ...

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About Software Engineering Roles at Danaher Are you passionate about building real-world ... internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C+

About Software Engineering Roles at Danaher Are you passionate about building real-world ... internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C+

About Software Engineering Roles at Danaher Are you passionate about building real-world ... internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C+

About Software Engineering Roles at Danaher Are you passionate about building real-world ... internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C+

Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming * Write clean ... Collaborate with product and DevOps on CI/CD pipelines using Docker, Kubernetes, and Helm

Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming * Write clean ... Collaborate with product and DevOps on CI/CD pipelines using Docker, Kubernetes, and Helm

RevSpring is seeking a Staff Software Engineer with expertise in Python. The role involves leading ... Company : RevSpring is a provider of revenue cycle technology services offering data analytics ...

Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming * Write clean ... Collaborate with product and DevOps on CI/CD pipelines using Docker, Kubernetes, and Helm

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Senior Software Engineer - Data Platform (W2 Position)

Senior Software Engineer - Data Platform (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

$113K - $149K/yr

Other

Posted 14 days ago


Job description

We have a job opportunity of a Role Senior Software Engineer – Data Platform with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior Software Engineer – Data Platform (W2 Position)

Location: Dearborn, MI (HYBRID)

Duration: 12+ Months

Experience: 8+ Years

JD:

Skills Required:

  • Spring Boot, Python, Google Cloud Platform, SQL

Skills Preferred:

  • GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE

Experience Required:

  • 6+ years of software engineering experience, including significant experience building cloud-based data platforms or data-intensive systems.
  • Strong hands-on development experience in both Java and Python, including design, implementation, testing, and deployment.
  • Proven experience architecting and delivering solutions from concept through production support.
  • Strong understanding of object-oriented design, distributed systems, and modern software engineering practices.
  • Experience building on public cloud platforms, preferably Google Cloud Platform (GCP).
  • Experience with cloud and data platform technologies such as BigQuery, Dataproc, Cloud Run, Airflow/Astronomer, or similar tools.
  • Experience with CI/CD pipelines, automated testing, and modern version control practices.
  • Experience with Infrastructure as Code, preferably Terraform.
  • Experience implementing observability practices, including logging, monitoring, alerting, and operational diagnostics for production systems.
  • Strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
  • Demonstrated ability to mentor peers and influence engineering direction through day-to-day technical leadership.

Experience Preferred:

  • Experience building data platforms, data-intensive applications, or large-scale transformation pipelines.
  • Experience in automotive, manufacturing, telemetry, or other large-scale operational data environments.
  • Experience working in a large global organization with diverse stakeholders and competing priorities.
  • Experience with backend or full-stack development in support of internal platforms or data products.
  • Experience using AI or automation tools to improve engineering productivity, code quality, testing, or documentation workflows.
  • Google Cloud certification.

Additional Information :

  • Hybrid Position 4 days a week onsite
    • Design, build, test, deploy, and support scalable software solutions using both Java and Python.
    • Lead the design and implementation of reliable, maintainable, and production-ready data platform and transformation capabilities.
    • Build and enhance cloud-native applications, services, and workflows on Google Cloud Platform.
    • Contribute hands-on code while also providing technical leadership, architectural guidance, and mentoring to other engineers.
    • Partner with stakeholders to clarify requirements, decompose complex problems, and deliver iterative value through agile development practices.
    • Drive engineering quality through strong design, code reviews, testing, CI/CD automation, observability, and operational excellence.
    • Improve platform reliability, supportability, and scalability through monitoring, logging, alerting, and performance optimization.
    • Contribute to infrastructure automation and environment consistency using Infrastructure as Code practices, including Terraform.
    • Balance short-term delivery goals with long-term platform sustainability, reuse, and technical health.
    • Evaluate and apply modern engineering tools, including AI-assisted development workflows, where they improve speed, quality, and team effectiveness."
 
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335