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Python Kubernetes Software Engineer Data Jobs in Michigan

Ford Motor Company

Software Engineer

Redford, 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 ...

2Bridge Partners

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 ...

FastTek

Software Engineer

Dearborn, MI · On-site

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 ...

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Digitas

Manager, Data Engineering

Birmingham, MI

$88K - $121K/yr

This role blends software engineering and ML expertise to translate prototypes into scalable ... Strong proficiency in Python and SQL (2+ years) * ML Frameworks: Experience with XGBoost ...

SynergisticIT

Remote Software Engineer

Ann Arbor, MI

$50.75 - $69.50/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for ...

Tech Tammina LLC

GCP Engineer

Dearborn, MI · On-site

... Python and other tools for business across the company. * Work with software and ML engineers/Data ... Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies

Relativity

Software Engineer

Detroit, MI · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience with Kubernetes, serverless technologies, and cloud-native architectures * Familiarity ...

Relativity

Software Engineer

Detroit, MI · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience with Kubernetes, serverless technologies, and cloud-native architectures * Familiarity ...

FastTek

Software Engineer

Dearborn, MI

... data from legacy relational databases such as DB2 * Highly preferable - Agent exposure with Python ... Knowledge of containerization technologies (Docker, Kubernetes). * Experience with CI/CD pipelines ...

Kasmo Global

Software Engineer

Troy, MI · Remote

Software Engineer Location: - Remote Duration: Long Term Overview: Join our dynamic team as a ... Proficiency in API design, systems integration, and data visualization. • Python Expertise:

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Application Engineer, Data Center Software

Application Engineer, Data Center Software

Utilidata

Ann Arbor, MI • On-site, Remote

$165K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are looking for an Application Engineer, Data Center Software to join our Technical Programs team. This is a founding role in a new Application Engineering function, responsible for building the integration layer - custom API connectors, configuration checkers, and test frameworks - between Karman and the diverse software environments operated by our data center customers. This person will work directly with customer operations and engineering teams to define requirements, lead technical discussions, and translate customer needs into integration designs. Because the integration surface is still being defined, this role carries real influence over how Karman's software integrations take shape, including the processes, tools, and standards that future engineers will build on. We are looking for candidates who are technically deep, customer-savvy, and energized by the challenge of building new integration surfaces in a fast-moving product environment.
Responsibilities
  • Work directly with customer data center operations and engineering teams to assess software environments, lead integration discussions, and translate requirements into actionable designs across DCIM platforms, custom dashboards, hypervisors, and management APIs
  • Design, develop, and validate custom API connectors between Karman and customer-specific data center software systems
  • Validate server builds against Karman's software requirements; write and execute configuration checkers and test suites for installation across customer environments
  • Conduct benchmark-driven and exploratory performance testing to identify and resolve bottlenecks
  • Debug integration issues and installation failures independently, leveraging deep familiarity with the Karman platform built through close collaboration with internal software engineering teams
  • Drive execution and sign-off of software installation requirement checklists for each customer engagement
  • Take an AI-first approach to automating processes and generating test frameworks, configuration checkers, integration artifacts, and deployment documentation
  • Build the software integration playbook - repeatable processes, templates, and documentation that scale the function beyond individual customer engagements
  • Create and maintain software integration artifacts, including SW validation checklists, test plans, configuration guides, KPI trackers, and After-Action Reports
  • Participate in roadmap meetings, engineering design reviews, and sprint planning to maintain a current understanding of the Karman platform
  • Serve as the feedback loop between customer deployments and core engineering, translating integration learnings into platform improvements
  • Support the TechOps team with software integration expertise for escalated production incidents related to initial installation
Minimum Qualifications
  • 8+ years of server software engineering experience with hands-on work in or with data center server environments
  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or similar field OR equivalent training and on the job experience
  • Strong proficiency in Linux system administration, including server builds, OS configuration, and service management
  • Demonstrated ability to design and implement API integrations between disparate software systems, including REST APIs and other common patterns
  • Solid experience with Kubernetes, containers, and virtual machines, including bare metal Kubernetes deployments
  • Demonstrated ability to write test frameworks, configuration checkers, and validation scripts; experience with both benchmark-driven and exploratory performance testing
  • Language agnostic, with Python or Rust proficiency as a baseline
  • Familiarity with communication protocols and serialization patterns (e.g., ZeroMQ, Protobuf, gRPC, Kafka)
  • Strong communication and interpersonal skills with the ability to engage customer data center operations teams and translate requirements into integration designs
  • Demonstrated ability to work independently and own complex technical problems end-to-end
  • High learning agility across diverse customer software environments
  • Experience integrating with DCIM platforms, hypervisors, or data center management APIs (e.g., Redfish, IPMI, or vendor-specific management interfaces)
Enhanced Qualifications (Nice to Have)
  • Familiarity with observability and monitoring tooling common in data center environments (e.g., Prometheus, Grafana)
  • Experience building or contributing to structured software integration processes, checklists, or validation frameworks
  • Prior experience in a customer-facing technical role such as systems integration engineer, solutions engineer, or platform engineer
  • Experience with GitOps-based deployment workflows (e.g., ArgoCD, Helm)
Salary Range: $165,000 to $195,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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