Jobs at Ascent.io

Own the Austrian market and lead agile digital product projects. Responsibilities include gathering client requirements, defining and prioritizing user stories, maintaining the product backlog, maximizing product value, coordinating with development and design teams, tracking project financial metrics, managing risks, and improving agile processes. The role requires client-facing communication, familiarity with Scrum and Kanban, enthusiasm for design and user experience, and fluency in German and English.

Lead an enterprise legacy modernization programme in a regulated banking and capital markets environment. Responsibilities include roadmap and governance management, cloud and application modernization, data migration, API integration, stakeholder and vendor coordination, risk and financial tracking, regulatory compliance, testing, cutover, service transition, hyper-care, and legacy decommissioning. The role requires executive communication, cross-functional leadership, and delivery across Agile, Waterfall, and hybrid models.

Own enterprise architecture assessments and target-state designs for complex legacy modernization programs. Define migration roadmaps, modernization guardrails, integration and data architecture standards, resilience requirements, and cloud-enabled platforms. Guide decomposition into microservices, APIs, and event-driven systems while supporting Kubernetes, DevSecOps, CI/CD, infrastructure-as-code, observability, governance, and hybrid deployments. Facilitate architecture reviews, manage risks, oversee implementation alignment, and maintain comprehensive architecture documentation across enterprise stakeholders.

Lead enterprise solution architecture for large-scale legacy modernization in banking and capital markets. Assess monolithic applications, integrations, databases, workflows, and reporting platforms; define cloud-agnostic target architectures using microservices, APIs, event-driven systems, Kubernetes, and Microsoft technologies. Establish migration roadmaps, high-availability and disaster-recovery designs, security, observability, resilience, and operational support models. Collaborate with business, engineering, security, operations, and client stakeholders to create implementable architecture blueprints and guide modernization delivery.

Lead Agile teams delivering digital, data, and AI-enabled projects and programs. Responsibilities include removing impediments, managing delivery risks and dependencies, coordinating stakeholders, championing Agile practices, and driving continuous improvement. The role requires delivery experience across software development, data engineering, application modernization, cloud development, data platforms, and AI-enabled products, while remaining technology-agnostic and non hands-on. Strong communication, independent leadership, commercial focus, and reporting capabilities are essential.

Lead Agile technical project teams delivering digital, data, and AI-enabled projects. Manage delivery risks, dependencies, impediments, stakeholder relationships, and continuous improvement while adapting delivery practices to software, data engineering, cloud, application modernization, and AI contexts. The role requires project delivery experience but does not require hands-on technical expertise.

The Senior Platform Engineer will design and optimize a platform using Python, DevOps, and ModelOps, managing application lifecycles and collaborating with teams for high-performance deployments.

Lead end-to-end fullstack and Generative AI solutions: architect, build, deploy, and operate production systems. Design LLM/RAG capabilities, own DevOps (CI/CD, IaC, containers, orchestration), drive technical proposals with customers, enforce engineering standards, and mentor engineers while supporting pre-sales and discovery.

Design, build and optimise scalable cloud-native data platforms and pipelines using Microsoft Fabric, Azure Databricks, Synapse and ADF. Implement ETL/ELT with PySpark and SQL, ensure data governance, performance, reliability, and collaborate with data scientists and engineers to deliver production solutions.

Lead end-to-end steering of technology projects and product management for financial-data solutions. Drive agile ways of working, capture and prioritise requirements, own the roadmap, manage stakeholders and customer meetings, and embed AI and transformation initiatives across teams and programs.