• Own and evolve a customized HubSpot environment • Configure and maintain Custom Objects, Association Labels, Pipelines, and Properties across a complex, multi-object data model • Build and maintain complex workflows including Custom Code Actions (JavaScript), cross-object property sync, and multi-level approval chains • Develop and maintain custom-built React-based UI Extensions (CPQ tool, deal configuration, link cards) deployed via HubSpot Serverless Functions • Develop and maintain an external HubSpot CMS-based Partner Portal with membership logic, visibility rules, and HubDB-driven content • Support and extend API integrations with external systems (ERP, LMS, support tools, AI services) via Operations Hub and custom code • Maintain technical documentation for configurations, custom code, and integrations

• Join a platform engineering team responsible for the scalable data infrastructure that underpins both product and analytics workloads globally. • Work spans distributed processing, streaming pipelines, orchestration, data quality, and observability — with full ownership of the components you build. • Collaborate closely with Data and ML Engineers and work within a modern lakehouse architecture. • CI/CD, IaC, and engineering best practices are first-class concerns, not aspirations.

We put AI firstJoin our AI-first team, where we're building a next-generation platform that runs AI agents to do real engineering work. Our systems reason, use tools, and act on production environments safely and at scale, making complex workflows trustworthy and reliable. We are seeking professionals passionate about building exceptional user experiences and eager to collaborate with an international team of experts to shape how people interact with autonomous agents in a globally leading product. Your role at DynatraceWe are seeking a proactive infrastructure specialist who is excited to construct and maintain the solid cloud foundations that power our next-generation AI platform. You will empower our engineering teams by designing highly reliable, secure, and reproducible AWS environments. Your role: - Define and evolve our AWS environment as code using Terraform to ensure the platform remains fully reproducible, reviewable, and safe to modify. - Operate high-scale Kubernetes clusters, package services with Helm, and automate deployments declaratively through GitOps with ArgoCD. - Build robust deployment paths and sensible defaults that allow other engineers to ship features quickly and reversibly, while flexing into backend security areas like credential isolation and scaling. - Drive architectural decisions for platform infrastructure, participate in continuous security hardening, and fully utilize Dynatrace for platform monitoring and optimization What will help you succeedTo thrive in this role, you bring deep technical expertise in AWS cloud operations alongside a strong reliability and security-focused mindset. We value candidates who combine hands-on infrastructure-as-code automation skills with a genuine curiosity about how AI workloads are deployed safely at scale. - Multiple of hands-on experience building and operating large-scale cloud infrastructure with deep expertise in AWS architecture and operations. - Solid, production-proven experience with Infrastructure as Code (Terraform), Kubernetes cluster orchestration, Helm packaging, and GitOps workflows via ArgoCD. - A strong reliability and security mindset, treating system monitoring, incident response, and continuous hardening as integral parts of your daily work. - A working understanding of AI agents, LLMs, and the infrastructure requirements needed to run these non-deterministic workloads safely. - Degree in Software Engineering or equivalent practical experience. - Strong analytical and problem-solving capabilities combined with a highly proactive, collaborative team approach. Why you will love being a Dynatracer - A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. - Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. - A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. - An environment that fosters innovation, enables creative collaboration, and allows you to grow. - A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. - A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. - For this position we offer exclusive relocation support to our R&D Headquarters in Linz, ranked among the top seven most sustainable cities in the world, where cutting-edge innovation intersects with an exceptional quality of life and affordable living costs! Click this link to find out more Compensation and RewardsDue to legal reasons, we are obliged to list a salary range for this position, which is € 61,000 up to € 76,000 gross per year based on full-time employment (38.5 h/week). We’ve listed the salary range for transparency, but if your experience and skills bring unique value, we’d still love to hear from you—please apply even if you’re outside the range. Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

• Audit and map the existing cloud and data platform architecture identify critical risks, dependencies, and improvement opportunities • Take ownership of core platform components from data ingress to reporting, supported by structured knowledge transfer where needed • Establish full internal ownership of the new cloud-native data platform • Improve data quality controls, validation processes and operational safeguards • Build a pragmatic post-migration roadmap focused on stability, scalability, data quality, cost efficiency and business continuity • Strengthen monitoring, alerting, and observability for business-critical data workflows and IVW/OEWA delivery pipelines • Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations • Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic • Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices • Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity • Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions • Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use • Work with external specialists where useful and establish sustainable internal ownership of all critical platform components