Senior Software Engineer / AI Enabler (m/f/d)
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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.
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Position Overview & Specifications
A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideasin the driving seat and change the way the world moves, join our global community.
We’re hiring a Software Engineer to join Search & Performance group at AutoScout24 – the group behind the Algorithms and Data Quality that powers the AutoScout24 Search Experience and Ad Products. This role is about real ownership: you’ll work on high-traffic systems, shape key parts of our user experience, and contribute to critical business outcomes.
What you’ll do:
- Work on product and tech initiatives finding the right mix between effort, quality and user value
- Optimize and improve the AS24 technology stack by targeting individual and team efficiency, applying future proven concepts, architectural principles, and frameworks
- Support our agile product development approach
What you need to succeed:
- Deep expertise in Java and Spring Boot, with a breadth of knowledge across a range of languages and technologies in both Object-Oriented and Functional paradigms; able to quickly grasp new concepts and tools Experience with Scala is a plus
- 5+ years of Software Engineering experience, hands-on experience with PostgreSQL, DynamoDB, Kafka, and AWS is a strong plus
- Team player but also decisive mentality
- Demonstrated personal excellence in using GenAI coding tools (for example GitHub Copilot, ChatGPT, Cursor, OpenAI Codex) to significantly improve your own development speed and quality: code generation, refactoring, debugging, tests and documentation.
- Experience integrating LLM APIs (such as OpenAI, Anthropic, Azure OpenAI, Vertex AI or similar) into applications or internal tools.
- A pragmatic view of GenAI: you understand its limitations and risks and know how to put guardrails in place (reviews, tests, policies) to keep usage safe, compliant and sustainable at scale.
A culture of growth
With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.
For a career where you can drive our business and shape your future, apply now.
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Engineering
Based on transatlantic hiring benchmarks for Senior Software Engineer / AI Enabler (m/f/d) roles across autoscout24's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Engineering.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £34,785 - £54,210 bracket, including retirement vesting and health parity.
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