DI
Dana IncorporatedSenior System Engineer – EV Platform
Senior System Engineer for EV platform managing technical execution and integration of vehicle systems in Rovereto, ensuring alignment with strategic goals and customer needs.
About the role
- Automate and structure critical workflows that move customer contracts through to delivery
- Streamline and accelerate lead-to-order-to-cash operations by designing modular workflow automations
- Reduce manual steps by embedding logic into how tasks flow between tools, teams, and data
- Ensure workflows are stable, trackable, and responsive to operational events
- Add scoring, prioritization, and exception logic into workflows
- Create dashboards and alerting to surface issues, metrics, exceptions, and trends early
- Structure and log key decisions to support future learning and process improvements
- Lay the technical foundation for operations assistants and AI-based routine task handlers
- Design data flows and capture feedback to enable future AI-based features
- Ensure intelligent systems are traceable, supportable, and aligned with ICEYE standards
- Collaborate with Ops, Product, Engineering, and Finance to understand pain points and priorities
- Build tools that integrate with existing platforms and are easy to operate and maintain
- Focus on clarity, reliability, and real-world usability in delivered solutions
Requirements
- Experience building workflow automations or service integrations for business operations
- Hands-on work with tools like Salesforce, JIRA, NetSuite, Slack, or internal systems via APIs
- Proficiency in Python and/or TypeScript (React or FastAPI experience is useful)
- Familiarity with GenAI tools (OpenAI APIs, LangChain, FAISS, Pinecone)
- Able to design structured logic from semi-structured or human-driven processes
- Know how to monitor and improve systems after launch
- Experience building logs, metrics, or audit trails that support better operations over time
- Strong communication skills with both technical and non-technical colleagues
- Able to take vague goals and turn them into working, maintainable solutions
- Exposure to ML workflows, including model deployment or data prep (Nice-to-Have)
- Background in operations-heavy fields like logistics, aerospace, or defense (Nice-to-Have)
- Familiarity with satellite operations, tasking, or quality control (Nice-to-Have)
- Tech stack familiarity: Python, Go, FastAPI, Flask, PostgreSQL, Redis, REST APIs, JIRA, Holistics, Databricks, Slack, Confluence, Workato, Salesforce, NetSuite, Docker, Kubernetes (GCP or AWS), GitHub Actions, Datadog, Sentry, scikit-learn, XGBoost, PyTorch, Airflow, Prefect, LangChain, OpenAI APIs, FAISS, Pinecone, React, TypeScript, TailwindCSS
- Employment is subject to applicable security screening (incl. SUPO, where required)
Benefits
- A job that matters in a dynamic Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Time for self-development, research, training, conferences, or certification schemes
- Active support for continuous professional development and training
- Commitment to diversity, equity, and inclusion
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
TS
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