Top Engineering Jobs

Build and operate production integrations between Dynatrace, hyperscaler AI services, observability platforms, and AI-native IDEs. Develop MCP servers, APIs, SDKs, IDE extensions, telemetry pipelines, and agentic-AI observability capabilities. Collaborate directly with AWS, Microsoft, Google, Anthropic, GitHub, and other partners on designs, debugging, and launch integrations. Own partner-facing products end-to-end, including testing, documentation, marketplace releases, and on-call support, while mentoring engineers and contributing to technical strategy.

Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.

Software engineering interns join international development teams and contribute across backend, frontend, full-stack, AI, data science, and security projects. Interns receive mentorship, gain experience with performance, scaling, and security, and work on-site four days per week. The role offers exposure to senior leadership, networking, and potential long-term opportunities including part-time work, thesis projects, and permanent positions.

Software engineering interns join international development teams and contribute to backend, frontend, full-stack, AI, data science, or security projects. Interns receive mentorship, gain experience with performance, scaling, and security, and work onsite four days per week. Candidates must be current software engineering or computer science students, available full-time for 4 weeks to 6 months, and able to communicate strongly in English.

Software Engineering Interns join Dynatrace development teams in Linz or Hagenberg, working across backend, frontend, full-stack, AI, data science, and security projects. Interns receive mentorship, gain experience with performance, scaling, and security, and collaborate with international teams. The internship requires full-time availability, on-site work four days per week, strong English skills, and submission of an English CV and transcript. Opportunities last four weeks to six months, with potential for future employment.

The Cloud Native Specialist acts as a technical expert on Kubernetes and multi-cloud strategies, leading POCs, integrating Dynatrace into CI/CD practices, and advocating for cloud-native observability solutions.

Leads enterprise customers and engineering teams in designing and implementing monitoring and observability solutions. Provides architecture, cloud services expertise, automation, coding, troubleshooting, performance optimization, and deployment guidance. Partners with product engineering on functional gaps and improvements, translates customer requirements into deliverables, and facilitates technical engagements. The role focuses on high-availability, hybrid-cloud, containerized, and large-scale enterprise environments, with primarily remote work and limited travel.

Lead a team of approximately six software engineers building Kubernetes Operators in Go. Set goals, manage dependencies, remove blockers, ensure predictable delivery, mentor engineers, support career development, lead hiring, and embed AI-assisted development practices. The role requires hybrid work from Lucerne with current residency and physical presence in Switzerland.

Develop low-level, high-performance instrumentation within CICS and z/OS using HLASM. Design production features for mission-critical mainframe environments, diagnose complex system behavior through dumps and traces, analyze performance bottlenecks, and collaborate with an experienced engineering team. The role requires deep z/OS and CICS internals expertise, systems programming knowledge, and proficiency with JCL, SDSF, and USS.

Design and build Kubernetes Operators in Go to automate Dynatrace platform installation, configuration, upgrades, and operations. Own the developer and operator experience, integrate components across engineering teams, and improve reliability, observability, resilience, automated recovery, and safe rollouts. Apply cloud-native engineering practices and AI-assisted observability to enable scalable, autonomous platform operations.