Job
- Level
- Senior
- Location
- Berlin, Munich
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop AI agents and integrated solutions to support engineering teams in resource utilization and enhance efficiency through data-driven decision-making.
Job Technologies
Your role in the team
- We're hiring two senior software engineers for Autonex Tech Effectiveness (ATE), a team within Core Tech working across business units.
- We build software that helps engineering teams deliver more effectively and make better use of their resources.
- Our remit spans cloud and AI spending, software licensing, delivery insights, and the workflows that connect them.
- You'll build AI agents, integrations, and internal products that turn data into useful decisions and actions.
- You'll work closely with engineers, engineering leaders, and Finance to understand real problems, ship solutions, and measure their impact.
- Build and evolve AI products such as Nex and Fyn, their companion tools, and self-service analytics for engineering effectiveness and FinOps.
- Design agentic workflows with tool calling, orchestration, retrieval, and memory.
- Make their actions predictable through clear permissions, human approvals, and auditable execution.
- Connect engineering and financial data through APIs and reliable data pipelines, integrating with tools such as Slack, Jira, our developer portal, and cloud and AI providers.
- Build FinOps capabilities for cost attribution, forecasting, anomaly detection, and optimization across cloud, AI, and software spend.
- Keep financial calculations accurate and traceable.
- Improve delivery visibility and reduce administrative toil, waiting time, and workflow friction.
- Help teams understand the balance between operational work and product development.
- Eigene Produkte von der Entdeckung und Gestaltung bis hin zum Einsatz und Betrieb.
- Build evaluations, tests, and observability that cover agent behavior, reliability, security, latency, and cost.
- Work with engineering teams, Finance, Procurement, and Employee Tech to prioritize useful improvements.
- Use adoption, user feedback, and measurable outcomes to guide what you build next.
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Our expectations of you
Qualifications
- You can explain the design decisions, failure modes, and trade-offs behind what you've built.
- Strong coding skills in at least one language, ideally Python or TypeScript, and confidence working with APIs, data integrations, and distributed systems.
- A strong interest in AI and a habit of experimenting, learning, and shipping.
- Modern AI coding tools such as Claude Code or Codex are part of your day-to-day work, and you take responsibility for the result.
- You can make sensible choices about reliability, security, and operating cost.
- You want to understand whether a tool improves someone's work and how to measure that.
- Klare Kommunikation, Produktdenken und Ownership.
- You can turn an ambiguous problem into a practical solution and work with both technical and non-technical stakeholders.
- Neugier und Lernbereitschaft in diesen Bereichen sind ebenfalls wichtig.
- Agent frameworks, MCP integrations, Amazon Bedrock, or AgentCore.
- Building internal tools, dashboards, or data products that people use to make decisions, and using metrics carefully in their context.
Experience
- Senior-level software engineering experience, typically 5+ years, building and operating production applications or services, with strong skills in design, testing, debugging, and maintainable code.
- Hands-on experience building LLM-powered applications and agentic systems used in real workflows.
- Practical experience deploying and running software in AWS or a comparable cloud, including CI/CD and observability.
- An interest in engineering effectiveness: developer experience, delivery flow, automation, and responsible use of resources.
- Experience that would help: FinOps, cloud cost optimization, engineering analytics, developer experience, or engineering operations.
- Our current agents use the Strands Agents SDK; experience with other stacks is welcome.
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What we offer
- You will join a small team that uses AI throughout its own work and develops products for colleagues across the organization.
- You will have ownership of meaningful problems and room to shape the solutions.
- Success means tools people trust and use, less time lost to friction, and better decisions about engineering investment.
- At AutoScout24 Group, we value diverse perspectives and an inclusive, respectful working environment.
- If you're excited to build agentic AI products that improve how engineering works, we'd love to hear from you.
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
AutoScout24 GmbH
AutoScout24 ist europaweit das größte online Automobil-Anzeigenportal. Der Marktplatz ermöglicht es seinen Kunden, sich den Traum vom eigenen Auto einfach, effizient und stressfrei zu erfüllen. Auf AutoScout24 können Händler und Privatverkäufer Anzeigen für Gebraucht- und Neuwagen schalten. Darüber hinaus bietet das Portal seinen Kunden Werbeprodukte an, wie zum Beispiel Display-Werbung und Produkte für die Interessentengewinnung unter anderen Teilnehmern im Automobilsektor und in angrenzenden Märkten. In Deutschland genießt AutoScout24 in seiner Zielgruppe eine einzigartige gestützte Markenbekanntheit von 95 Prozent.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade, Internet, IT, Telecommunication
Senior Software Engineer
- Location
- Berlin, Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
