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Director of Engineering

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Edgelab
Full Time position
Listed on 2026-01-11
Job specializations:
  • Engineering
  • Management
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CHF Yearly CHF 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Description

We are looking for a Director of Engineering to lead and support our software engineering teams. This role is key to strengthening and scaling alignment between engineering and product, ensuring teams are empowered to deliver efficiently and effectively. Your leadership will focus on fostering a collaborative, positive culture without micro-management, enhancing both team satisfaction and product quality.

Why This Role Matters

To advance our product, we need dedicated leadership that can unify engineering efforts with product goals. This role will provide essential visibility, promote best practices, and help teams maintain clear focus on the highest-impact priorities. Your work will directly improve the team's experience and contribute to the success of the Wealth Platform.

Key Responsibilities Team Leadership and Management
  • Supervise, mentor, and strategically align multiple engineering teams.
  • Foster innovation, accountability, continuous improvement (kaizen), and a dissatisfaction with the status quo.
  • Collaborate with stakeholders to clearly define priorities and direction.
Delivery Excellence
  • Ensure efficient and high-quality delivery of the product roadmap.
  • Proactively identify and remove roadblocks, optimizing team workflows and productivity.
  • Define and support team-owned KPIs that help teams inspect, learn, and continuously improve.
Operating Model Optimization
  • Define, refine, and optimize the engineering operating model, ensuring alignment across teams.
  • Apply reverse Conway’s law to proactively shape organizational structures for improved delivery and collaboration.
AI Advocacy And Practice
  • Act as a knowledgeable AI practitioner, promoting and advocating its responsible and effective usage within engineering processes.
  • Continuously evaluate opportunities for leveraging AI to enhance product and operational outcomes.
Hybrid Deployment Expertise
  • Guide teams in building scalable, high-quality, and maintainable hybrid solutions (on-premises and cloud).
  • Maintain high operational standards, ensuring compatibility and performance across deployments.
Release Lifecycle Management
  • Own the end-to-end release process, including planning, execution, and continuous improvement.
  • Coordinate cross-functional efforts to streamline deployment cycles and minimize friction.
Cross-Team Collaboration
  • Serve as a key liaison between engineering and other departments, ensuring effective communication and alignment.
  • Partner closely with the platform team to leverage shared services and integrations.
Technical Leadership
  • Promote best practices in coding, testing, deployment, and the use of AI.
  • Foster a culture that values innovation, quality, continuous learning, and relentless improvement
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