Se­nior Ja­va Ba­cken­d En­gi­nee­r*

• 7+ years of professional Java backend development
• Strong Spring Boot, REST API design, and microservice architecture experience
• Solid grasp of OAuth2, OpenID Connect, and Identity & Access Management (Keycloak or equivalent)
• Experience with PostgreSQL or comparable relational databases
• Comfortable with Docker, Git, Maven or Gradle, and CI/CD pipelines
• Experience delivering software in a regulated environment — banking, fintech, insurance, healthcare, or public sector. You know what change control, four-eyes approval, and an audit finding actually mean in practice.
• The judgement to work independently and the discipline to document decisions
• Genuine interest in applying AI to enterprise problems — and the instinct to ask how it fails before shipping it
• LANGUAGE — e.g. English required; German an advantage for stakeholder work
• Own architecture decisions for critical backend services, balancing delivery speed with security, resilience, and auditability.
• Lead technical design reviews and guide implementation standards across teams.
• Mentor engineers through code reviews, pairing, and structured feedback.
• Take operational ownership in production: incident leadership, root-cause analysis, and prevention actions.
• Drive cross-team delivery by aligning Product, Security, DevOps, and Architecture on technical trade-offs.
• Improve engineering maturity: documentation quality, test strategy, observability standards, and secure SDLC practices.

• Design, build, and maintain backend services in Java and Spring Boot — REST APIs, microservices, event-driven integrations
• Take ownership of existing services: modernise them, harden them, and close technical and regulatory findings
• Secure API integrations using OAuth2, OpenID Connect, JWT, and Keycloak
• Build and operate services across our hybrid on-prem and Azure landscape, deployed through Jenkins pipelines with all artifacts sourced from our internal Nexus registry
• Develop AI-supported workflows — agentic API automation — with the security, auditability, and data-protection controls a regulated bank requires
• Own quality: automated tests, meaningful observability, and production support for what you build
• Work directly with Product, QA, DevOps, Architecture, Security, and Business — not through layers
• Own architecture decisions for critical backend services, balancing delivery speed with security, resilience, and auditability.
• Lead technical design reviews and guide implementation standards across teams.
• Mentor engineers through code reviews, pairing, and structured feedback.
• Take operational ownership in production: incident leadership, root-cause analysis, and prevention actions.
• Drive cross-team delivery by aligning Product, Security, DevOps, and Architecture on technical trade-offs.
• Improve engineering maturity: documentation quality, test strategy, observability standards, and secure SDLC practices.

• You will spend 50% of your working time in our modern and easily accessible office at Vienna Central Station.
• We support your personal development and career planning with an individual and attractive training program. Visit our BAWAG Academy and use our GoodHabitz elearning platform for both your professional and personal growth.
• In addition, we offer a range of interesting and valuable additional benefits.
• For this position, the collective agreement stipulates a minimum annual gross salary of € 51.947,84 on a full-time basis. Depending on your experience and qualifications, we are willing to offer a higher salary.

Your contact person: Jutta Durstberger +43 6648099822099

We value people. Would you like to work in a team where good cooperation and diversity are actively practiced? Then you've come to the right place. Equal opportunity is important to us - regardless of age, gender, sexual orientation, physical impairment, religion or origin.

Tech stack: Java · Spring Boot · REST · Microservices · PostgreSQL · Keycloak · OAuth2/OIDC · Docker · Jenkins · Nexus · Azure · Azure OpenAI · Azure AI Document Intelligence

Nice to have: Azure services, particularly Azure OpenAI or Azure AI Document Intelligence; Kubernetes, API gateways, monitoring and observability tooling; Hands-on work with RAG pipelines, LLM integration, or agent frameworks (Semantic Kernel, LangChain, or similar); Messaging and event streaming (Kafka or equivalent); Experience with securities, payments, or lending domains.