Objective:

We are looking for a highly dynamic, motivated, and collaborative person to join our team. We are focused on the
modernization of legacy systems and development of new capabilities of digital solutions in the Operations
Platform team. There is a growing global need within BASF to leverage digitalization to continue BASF's journey
of excellence and continuously improving our capabilities especially through digitalization.
In this role, you will work alongside a global development team to create and iteratively improve upon a global, internal full stack
development solution with a focus on an open source stack and a cloud-based platform.

Main Task:

Own end-to-end delivery of product features (frontend, backend, integration) from discovery through
production support.
Lead solution design and architecture (APIs, service boundaries, data models), ensuring scalability,
maintainability, and security.
Translate business needs into technical requirements; proactively manage trade-offs (scope,
performance, cost, time) with stakeholders.
Set and uphold engineering standards: code reviews, automated testing strategy, performance
benchmarking, and secure coding practices.
Leverage AI-assisted engineering responsibly (e.g., copilots/LLMs) to improve delivery and quality; evaluate and integrate AI capabilities where valuable, ensuring data privacy, security, and model governance.
Design and improve CI/CD pipelines and release processes; drive infrastructure-as-code and
environment standardization.
Own production readiness: observability (logs/metrics/traces), on-call/incident response support, root cause analysis, and continuous improvement.
Drive modernization of legacy components (refactoring, migration, deprecation) and actively manage technical debt with a clear roadmap.
Mentor engineers through pairing, coaching, and design/code reviews; contribute to hiring, onboarding, and knowledge sharing.
Create and maintain technical documentation (architecture decisions, runbooks, API contracts) and ensure compliance with internal security and quality policies.

Job Requirements:

minimum requirement to carry out the work - you might want to point out "additional plus/nice to have skills" that are not
mandatory

Education ▪ Degree in Computer Science, Computer Engineering, informatics, business informatics or
in a comparable field
Work experience ▪ More than 5+ years in a senior developer role for a large team
Technical & Professional
Knowledge (mandatory)
▪ Advanced Angular and TypeScript.
▪ Microfrontend architecture
▪ Monorepo setup (module federation or similar), shared libraries, versioning, and
dependency management.
▪ Strong Java and Spring Boot expertise (REST APIs, security, data access, testing).
▪ Cloud-native application development (containers, scalable deployments,
configuration/secrets, resilience, cost awareness).
▪ Practical AI understanding for software teams (AI-assisted development and/or building
AI-enabled features), including data privacy, security, and responsible use.
▪ Proven technical leadership: driving architecture decisions, mentoring, and collaborating
effectively across product, UX, and platform teams.
Technical & Professional
Knowledge (additional
plus/nice to have skills)
▪ Azure DevOps (Repos, Pipelines, Boards) and CI/CD automation for Angular +
Java/Spring Boot stacks.
▪ Experience working with international, distributed teams (cross-timezone collaboration,
communication, and stakeholder management).
▪ Infrastructure-as-code and platform exposure (e.g., Terraform/Bicep, Kubernetes, API
gateways, message brokers, caches).
▪ AI-enabled application patterns (e.g., RAG, vector search, prompt evaluation, guardrails)
and integrating with model endpoints.