Jobs at Erste Digital

Facilitate Scrum events, coach teams toward self-management and continuous improvement, remove impediments, improve delivery flow, and partner with Product Owners and Solution Managers on backlog readiness and transparency. Drive Agile adoption, resolve conflicts and dependencies, and implement measurable improvements in team effectiveness and delivery predictability. The role requires at least three years of Scrum Master experience, fluent English, and occasional travel to Vienna.

Own digital banking products end to end, translating business needs into technical requirements, designing and developing software, coordinating stakeholders, and supporting reliable production operations. The role involves hands-on frontend, backend, or full-stack engineering; automated testing, CI/CD, observability, secure coding, architecture modernization, incident resolution, and technical dependency coordination. Engineers are expected to broaden their capabilities toward T-shaped product ownership and leverage AI-assisted engineering.

Administer and operate mission-critical Oracle database platforms across development, testing, and production. Responsibilities include configuration, patching, backup and recovery, performance monitoring, security, incident response, high availability, disaster recovery, automation, observability, and collaboration with database, platform, and application teams.

Design and maintain automation for Oracle platforms and infrastructure using Terraform, Ansible, Python, and Bash. Build CI/CD pipelines and self-service tooling, improve reliability and observability, support Oracle RAC, Data Guard, and RMAN environments, and lead incident response, troubleshooting, disaster recovery validation, and resiliency improvements. Provide technical guidance and advance platform engineering, DevOps, and SRE practices across mission-critical enterprise environments.

Designs and maintains infrastructure and PostgreSQL automation using Terraform, Ansible, Python, and Bash. Builds CI/CD pipelines, operates highly available production databases, improves observability, and owns platform reliability. Leads incident response, troubleshooting, root cause analysis, disaster recovery, and performance optimization. Collaborates with infrastructure, application, cloud, and database teams on scalable platform solutions, technical roadmaps, documentation, mentoring, and adoption of DevOps, SRE, and platform engineering practices.

Administer and maintain PostgreSQL databases across AWS and Google Cloud environments. Responsibilities include configuration, patching, backups, recovery, performance monitoring, troubleshooting, security, high availability, disaster recovery, automation, Infrastructure as Code, observability, and incident response. The role collaborates with database, platform, and application teams to improve reliability, scalability, and operational efficiency.

Build and operate GenAI assistants, AI agents, RAG solutions, and automation workflows for observability and IT operations. Use logs, metrics, and traces for incident resolution, root-cause analysis, summarization, and anomaly detection. Partner with engineering, operations, platform, and compliance teams to identify use cases, measure outcomes, evaluate AI platforms, and promote responsible AI governance. The role requires Python, API integration, observability knowledge, and at least five years of IT experience.

Develops data science, machine learning, and Generative AI solutions for banking use cases. Responsibilities include predictive modeling, LLM and RAG application development, data preparation, feature engineering, evaluation, deployment, and continuous improvement. The role applies AI guardrails in a regulated environment and collaborates with business experts, data engineers, software engineers, and AI platform teams to deliver production-ready solutions.

Develops data science, machine learning, and Generative AI solutions for banking use cases. Responsibilities include predictive modeling, LLM and RAG application development, data preparation, feature engineering, evaluation, deployment, and continuous improvement. The role ensures AI solutions are reliable and explainable in a regulated environment while collaborating with business experts, engineers, and AI platform teams to deliver scalable production systems.

Design, develop, deploy, and operate highly available, scalable, low-latency microservices for corporate banking. Build cloud-ready services using Oracle and PostgreSQL, own services in a DevOps model, and collaborate with engineers, analysts, and product owners. The role emphasizes clean, maintainable Java code, distributed systems, Kubernetes/OpenShift, continuous delivery, defensive programming, and automated testing.

Administer and improve enterprise workplace AI platforms, primarily ChatGPT Enterprise, along with Microsoft Copilot Agent Builder and SharePoint Agents. Manage configurations, access controls, identity integrations, monitoring, licensing, support, troubleshooting, documentation, governance, and API-based integrations. Collaborate with security, data protection, Microsoft 365, architecture, and technology partners while evaluating new capabilities and automating administrative processes.

Enable and scale workplace AI features across a regulated enterprise. Responsibilities include assessing, testing, documenting, governing, piloting, communicating, and rolling out ChatGPT Enterprise and Microsoft Copilot capabilities. Coordinate security, data protection, compliance, support, and stakeholder processes; gather user feedback; provide guidance, training, and business-hours support; monitor AI developments; and maintain the feature and adoption backlog. The role requires strong technical curiosity, communication, documentation, change-management, and cross-functional coordination skills.

Translate business requirements into technical concepts, software requirements, REST APIs, integrations, and end-to-end workflows. Collaborate with engineers, architects, product owners, data experts, and business stakeholders to deliver scalable digital banking solutions, including automation and AI-powered services. Review designs, improve API standards and processes, and contribute to agile delivery through Jira, Scrum, Kanban, refinements, and retrospectives.

Leads architecture, development, and operational excellence for enterprise-scale credit risk data platforms. Designs Databricks Lakehouse and ETL/ELT solutions, builds Spark-based pipelines, defines data models and governance standards, optimizes performance, and provides technical leadership. Partners with Risk, Data, and business stakeholders to deliver secure, scalable, analytics-ready data solutions across cloud environments.

Owns the reliability, automation, observability, and evolution of a PostgreSQL-focused platform. Responsibilities include infrastructure as code, CI/CD, production operations, PostgreSQL high availability and disaster recovery, incident response, monitoring, troubleshooting, and reliability improvements. The role partners with infrastructure, application, cloud, and database teams while contributing to technical roadmaps, documentation, mentoring, and DevOps, SRE, and platform engineering practices.

Leads the architecture, design, development, and operational support of enterprise-scale Databricks data platforms for credit risk and risk analytics. Designs ETL/ELT pipelines, Lakehouse architectures, data models, ingestion frameworks, metadata and lineage solutions, and performance optimizations. Provides technical leadership, establishes engineering standards, mentors teams, oversees delivery, supports production issues, and partners with risk, data, and business stakeholders. Requires advanced expertise in cloud platforms, Spark, Python, SQL, Delta Lake, data governance, and large-scale data engineering.

Leads the architecture, design, development, and operational support of enterprise-scale Databricks and cloud-based data platforms for credit risk analytics. Designs ETL/ELT pipelines, Lakehouse architectures, data models, governance, lineage, and metadata frameworks. Provides technical leadership, establishes engineering standards, mentors teams, manages stakeholders, optimizes Spark-based solutions, and supports production issue resolution across the delivery lifecycle.

Creates reports, analyses, evaluations, and data visualizations for business decision-making; develops and maintains SQL database queries; specifies business requirements for statutory reporting; and works independently with stakeholders, specialist departments, and developers in a banking environment.

Build and deploy practical AI solutions with cross-functional teams. Identify use cases, design AI workflows, configure prompts, agents, connectors, and knowledge sources, test prototypes, measure business impact, and refine solutions with end users. The role also requires responsible handling of data, information security, AI governance, and human-in-the-loop principles.

Build, operate, and continuously improve a centralized SIEM platform supporting security operations across multiple countries and entities. Responsibilities include designing telemetry pipelines, implementing SIEM as Code with version control and CI/CD, automating log-source integrations, ensuring reliability and observability, enabling secure multi-tenancy, and collaborating with SOC, detection engineering, and automation teams.