Tech Lead Software Engineering for Cloud-based Industrial AI Applications (fmdiv.)

As the Tech Lead for Software Engineering you will be the core leader responsible for the technical success of our SW & AI industrial application. Your primary mission is to guide a team of skilled engineers in building and operating the robust secure and scalable SW & AI systems that power our industrial AI applications. We are seeking a leader who excels at translating complex user requirements into a clear technical vision and an actionable delivery plan.

This role requires a blend of deep architectural knowledge hands-on leadership and a passion for engineering excellence. You will be responsible for stakeholder management coaching your team and ensuring the timely delivery of complete SW & AI systems.

Core Responsibilities

• Lead Plan and Deliver: You are responsible for the teams technical execution. This involves translating user stories into detailed technical work packages creating and managing the delivery plan in close cooperation with the AI Team and your own team and ensuring projects are delivered on time and on specification.
• Mentor and Coach: You will provide technical leadership and coaching to software engineers fostering a culture of engineering excellence continuous improvement and collaborative problem-solving.
• Architect and Design: You will lead the technical design of our end-to-end cloud applications including architecture for the backend frontend data engineering pipelines and cloud infrastructure.
• Drive Engineering Excellence: You will champion and enforce strong engineering practices including clean code comprehensive version control automated testing and robust CI/CD pipelines continuously improving our development methodologies and tooling.
• Manage Stakeholders: You will work closely with product owners the AI team and business stakeholders to align the technical direction manage expectations and communicate progress and risks effectively.

Qualifications :

• Education: A completed degree in Software Engineering Computer Science or a related technical field.
• Leadership Experience: Several years of professional experience with a proven track record of leading and building high-performing software engineering teams and delivering scalable cloud-based applications to production.
• Architectural Expertise: Strong technical grounding and the ability to dive into detailed design while also collaboratively creating and communicating the high-level system architecture.
• Cloud & DevOps Mastery: Deep experience with modern cloud platforms (e.g. Azure AWS) microservices architecture containerization (Docker Kubernetes) and establishing strong DevOps practices.
• Strong Engineering Practices: A commitment to engineering excellence with hands-on experience in clean code principles version control and building and maintaining robust CI/CD pipelines.
• AI Integration Familiarity: A solid understanding of the AI lifecycle (data engineering MLOps deployment) is a significant advantage ensuring seamless collaboration with the AI team.

Additional Information :

submit all relevant documents (CV certificates and links to GitHub or kaggle account).

We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need support during your application
Kathrin Stipak (Human Resources)
49 5

Need further information about the job
Lucas Gomes (Functional Department)
49

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time