Technical Lead (f/x/m)

Requirements

• We do not expect you to check every box. We are looking for someone with strong engineering judgment, people skills, and the motivation to grow into leadership.
• Required
• 6+ years building production software, with the depth to contribute hands-on and help guide technical decisions.
• Hands-on AI development (a must): coding agents (Claude Code, Codex, Cursor) on real work; builds agentic systems, not just prompts a chatbot.
• Strong distributed-systems and API design skills, with a security-minded approach to OAuth/OIDC and data protection.
• Rigorous about quality: comfortable shaping automated testing strategy and CI discipline, and verifying rather than assuming.
• A systems and critical-thinking mindset: able to reason about risk in both software and the surrounding process or policy.
• Experience in highly regulated, process-driven industries is a strong plus; banking/FinTech is especially relevant. Familiarity with GDPR, BaFin/MaRisk, PSD2, SOC 2, or ISO 27001 is helpful.
• Strong customer-facing communication and the ability to work well with technical and non-technical stakeholders.
• ClouCd experience with GCP preferred (or AWS/Azure), plus IaC, containers, and CI/CD.
• Fluent English.
• Desirable: German; Python (FastAPI), React/TypeScript, GCP stack; data-intensive pipelines over large transaction datasets; privacy-enhancing tech / MPC; anti-financial-crime domain (AML/KYC/fraud).
• Tech stack: Python/FastAPI; React, Vue.js, TypeScript, Vite; Keycloak/JWT; GCP (GKE, Cloud SQL, Cloud Run, GCS, Artifact Registry); Terraform, Docker; GitHub Actions; Ruff, mypy, Bandit, pytest, ESLint, Vitest; Claude Code and Codex.
• What we're looking for

Benefits

Additional Information

spotixx is a Frankfurt-based European FinTech building technology for the regulated financial sector. Since 2019, we have grown into a team of 60+ professionals with deep roots in the German and European banking landscape, shaped by years of hands-on experience in fraud investigation and financial crime prevention. We specialize in Anti-Money Laundering (AML) and fraud detection, enabling secure, compliant data exchange between financial institutions. Using data science and AI, we are helping shift the industry toward collaborative intelligence and more effective prevention. As a self-funded company, we focus on sustainable growth and real impact. With offices in Frankfurt and Wilhelmshaven and strong inbound demand, we are expanding our team. If you want to work on meaningful problems, grow with the company, and be part of a flexible, hybrid work environment, spotixx offers the opportunity to do just that. Tasks You help lead our software delivery through clear technical direction, strong engineering standards, and dependable execution. You work closely with an experienced technical lead who owns the overall architectural direction, while you focus on technical coordination, team support, and delivery quality. We use AI tools pragmatically in engineering, and we are looking for someone who is curious, hands-on, and open to learning. You are joining a team of 6 engineers, growing to 8-9 this year, working across 2-3 parallel projects that are mostly greenfield development. Tasks Help guide architecture and technical design: decide what to build and how in a regulated environment. Design for security and scale: secure-by-design, sound identity and access, and reliable performance under load. Set and maintain the technical bar: quality assurance, release and change management, IT security. Own verification: the testing strategy and CI gates that help what ships is correct and on-spec. Build practical AI leverage: agentic workflows with the evaluation and guardrail mechanisms that make AI output reliable. Be the technical face to customers: engage senior client-side architects in workshops and due diligence. Support the growth of the engineers around you through mentoring, code review, and technical guidance. Coordinate the team: work allocation, delivery rhythm, and day-to-day execution. What we build: (1) a privacy-first data-sharing platform that lets banks share financial-crime intelligence without exposing each other's raw data, built on multi-party-computation technology from our partner Roseman Labs; (2) an AI-driven fraud-management pipeline using LLMs for analysis, detection-rule discovery, case preparation, and automation.

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