• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads • Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services • Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement • Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden • Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets • Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations

• You'll own the systems every other team at Phaidra depends on for ingestion, storage, serving, and orchestration. • Design and build scalable components for the data platform that enable high-throughput data ingestion and processing. • Design and develop systems to store and serve batch data for analytics. • Contribute to the design and implementation of API services and scalable event-driven applications that power the product backend. • Design clear, extensible software interfaces for internal consumers and maintain a high release-quality bar. • Design and optimize data storage and retrieval mechanisms for high throughput, security, and ease of access. • Own and operate your services in production, including releases, deployments, and on-call rotations, meeting Phaidra's high bar for operational excellence. • Lead cross-functional initiatives collaborating with engineers, product managers, and TPMs across teams. • Mentor your peers and be a technical role model on the team.

Your role at DynatraceJoin the Quality, Security, and Privacy Team at Dynatrace. Our team plays a critical role in delivering a high-quality product experience while ensuring our customers' data is safer with us than anywhere else. We achieve this by embedding performance best practices and analysis workflows throughout the software development lifecycle. We’re looking for Platform Performance Engineers with an AI-first mindset—engineers who don’t just analyze systems, but continuously look for ways to automate, augment, and scale their work using AI and intelligent agents. What you'll do - Partner with engineering teams to monitor, analyze, and optimize performance across complex distributed systems. - Leverage AI tools and agent-based workflows to accelerate root cause analysis, identify patterns, and reduce manual toil. - Drive consistency and excellence in performance practices by coaching teams and promoting scalable, automated approaches. - Agentify performance workflows—from regression detection to anomaly analysis—to enable continuous, self-improving systems. - Integrate automated performance testing and regression detection into CI/CD pipelines. - Dogfood the Dynatrace platform to uncover performance issues and provide data-driven, actionable insights. - Contribute to internal tooling, playbooks, and knowledge sharing to help teams resolve issues faster and more autonomously. What will help you succeed - Passion for performance optimization, distributed systems, and scalability challenges - An AI-first mindset: you actively explore how AI can accelerate engineering workflows and reduce manual effort - Curiosity and drive to automate and rethink how work gets done - Strong collaboration skills and the ability to influence engineering teams - Experience with Java / Spring Boot / Go is a nice to have - Familiarity with Kubernetes and cloud-native architectures is a plus - Experience building or extending automation, tooling, or agents (e.g., scripts, pipelines, AI-assisted workflows) is also a plus Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically - Over 50% of the Fortune 100 companies are current customers of Dynatrace. - 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 Rewards - Due to legal reasons, we are obliged to list a salary range for this position, which is €74,000 up to €92,000 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.

Role Description You will be: - evolving and operating a multi-cloud platform ecosystem across AWS and Azure, - enabling engineering teams through self-service capabilities, reusable platform components and an improved developer experience, - defining and governing engineering standards, golden paths and best practices for infrastructure delivery and CI/CD, - driving automation initiatives to increase reliability, scalability and operational efficiency across the platform landscape, - partnering with product and engineering teams to solve complex technical challenges and accelerate delivery, - leading strategic initiatives in areas such as cloud optimisation, security and adoption of emerging technologies, including AI-enabled capabilities. Qualifications - 6+ years of experience in Platform Engineering and/or DevOps Engineering within complex multi-cloud environments, - strong expertise in Terraform, including module development, Terratest, versioning strategies and large-scale state management, - hands-on experience administering Harness, including delegates, governance, templates, RBAC, Harness IDP and Harness CCM (Cloud Cost Management) in production environments across AWS and Azure, - practical experience with Backstage, including plugin development, catalog configuration, TechDocs and GitHub integration, - proficiency in Python and/or Node.js for platform tooling and automation, operational Lambdas, - solid understanding of multi-cloud networking concepts, including VPC/VNet design, Transit Gateway, hub-and-spoke architectures and split-horizon DNS, - experience implementing security best practices, including IRSA, Workload Identity, least-privilege IAM and policy-as-code using OPA/Conftest, - knowledge of FinOps practices, including tagging strategies, budgeting, rightsizing, waste identification and reporting, - experience designing CI/CD solutions with golden paths, governance guardrails, exception handling and artifact management, - practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, with familiarity with MCP and LLM tooling, including agent workflows, prompt governance and auditability, - strong communication skills and English proficiency (at least B2 level). Requirements - Work from the European Union region and a work permit are required. Benefits - Nice to have: - experience with AWS Control Tower, AWS Organizations and account vending machine patterns, - experience with Azure Management Groups, Azure Policy and Azure Blueprints, - experience with Kubernetes platform engineering, including EKS managed add-ons, cluster upgrade automation and Velero, - familiarity with Crossplane or Cluster API, - experience with GitOps practices using ArgoCD and/or FluxCD, - experience provisioning Kubernetes platforms using EKS Blueprints or AWS CDK, - exposure to GCP platform engineering environments, - understanding of Java and/or .NET build ecosystems from an operational perspective, - AWS, Azure and/or GCP certifications at Solutions Architect level or higher. Recruitment Process - CV review – - HR call – - Interview – - Team / Client Interview – - Decision