Top Tech Jobs & Startup Jobs

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.