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Lead Software Engineer

Technologie
Advidi
GesternBis 29.7.2026
VollzeitVor Ort

Stellenbeschreibung

About us

At Advidi, we build technology that powers millions of daily transactions for clients around the world. Our engineering challenges are broad and meaningful: high-availability tracking systems, big data platforms, custom client portals, automation tooling, and internal systems that support every part of the business.

With our new tracking platform now being delivered, our focus is shifting toward building a stronger product-first innovation mentality across engineering. The next phase is not only about maintaining and scaling our systems, but about continuously improving the products we offer, identifying opportunities for innovation, and turning strong technical ideas into meaningful business value.

As our Lead Software Engineer, you will play a central role in shaping this mindset within your team. You will balance technical excellence with product impact, helping engineering become a driving force behind Advidi’s future product direction.

This is a role for someone who wants real ownership. You will be responsible for technical architecture, product quality, delivery, and the engineering culture within your team. You will remain hands-on in the codebase while also mentoring engineers, setting technical direction, and working closely with business and product stakeholders.

Our engineering culture is built around high standards: clean code, reliable systems, thoughtful architecture, strong ownership, and continuous improvement. We are pragmatic, but we do not compromise on quality. We care about building systems that are maintainable, scalable, observable, and genuinely useful to the business.

We also believe AI will become a core part of modern engineering teams. At Advidi, we use AI in a way that raises the bar: better documentation, faster feedback loops, stronger code review, improved developer productivity, and more time for engineers to focus on meaningful product and architecture decisions. You will help further develop this AI engineering culture within your team.

You will report directly to the CTO and, after an onboarding period, lead a team of up to five engineers.

Technology Stack

Our core stack includes

  • Python

  • Kotlin

  • Angular

  • Amazon Web Services

  • AWS CDK

  • SQL and large-scale data systems

Responsibilities:

As Lead Software Engineer, you will:

  • Lead one of our development teams, owning its technical output, delivery quality, and engineering culture.

  • Manage, coach, and mentor 3–5 engineers, supporting both their technical and professional growth.

  • Actively contribute to the codebase and remain close to the technical details.

  • Drive architectural decisions and technical planning for both existing systems and new product initiatives.

  • Partner with business and product stakeholders to translate opportunities, priorities, and requirements into clear technical direction.

  • Help strengthen a product-first innovation mindset within engineering.

  • Improve the reliability, scalability, maintainability, and observability of our product portfolio.

  • Set a high bar for engineering quality through clean code, thoughtful architecture, testing, documentation, and pragmatic technical decision-making.

  • Help evolve our AI engineering practices, including how we use AI tools for development, documentation, code review, testing, and technical planning.

  • Maintain and modernize an existing portfolio of products while supporting future product innovation.

Required skills:

We are looking for someone with:

  • A Bachelor’s or Master’s degree in Computer Science or a related field.

  • 7 years of relevant software engineering experience.

  • At least 1 year of experience in a lead, tech lead, or engineering management role.

  • Strong proficiency in Python, Kotlin, or Java.

  • Hands-on experience with cloud computing, ideally AWS.

  • Experience with Infrastructure as Code, preferably AWS CDK or similar tooling.

  • The ability to write clean, reliable, and scalable code.

  • Strong communication skills and the ability to work effectively with business stakeholders.

  • A proven track record of delivering large-scale or complex software projects.

  • A strong sense of engineering quality, ownership, and accountability.

  • An AI engineering mindset: you actively explore how AI can improve engineering workflows, while applying strong technical judgment to its use.

It is a plus if you have:

  • Strong knowledge of SQL and query performance optimization.

  • Experience working with large datasets or data-intensive systems.

  • Deep familiarity with AWS services and cloud-native architecture.

  • Experience modernizing existing systems or evolving product platforms.

  • Experience introducing better engineering practices across a team, such as improved documentation, testing, code review, observability, or AI-assisted development workflows.

  • Experience working in a product-focused engineering environment where technical decisions are closely connected to business impact.

What we offer?

  • A competitive salary with base (100-115K)

  • Bonus structure paid out quarterly

  • Personal growth opportunities

  • Pension scheme

  • Inflation correction

  • Proper guidance and support from fellow senior developers if and when you need it

  • Time to learn in a way you see fit

  • 25 holiday days 1 free day off during your birthday week

  • Option to buy 10 more days off

  • Fun events such as Game Night, Fancy Friday, seasonal parties and more

  • Daily fresh lunches and snacks prepared by our Chef

  • Gym membership discount and the possibility to work out during office hours

  • Table tennis, football, darts, football field, basketball court

Further information

Agency applications regarding this vacancy will not be reviewed.

Please note: We do not review applications sent via email.

Please note: We only accept applicants residing in Europe.

Keywords
DBaseKotlinCDKScalabilityCloud computingAngularAngularJSPythonSqlJavaMaintainabilityBig dataPersonio

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