Vollzeit
Villach, München
24.08.2026
Villach, München
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In your career, let’s prove what’s possible.
- Build production-grade Python packages.
- Follow and build project scaffolds (PowerShell), follow coding standards, and reproducible workflows.
- Transform analyses into standardized currently best-known methods (cBKM)
- Process data and automate data flows; manage and optimize data structure & data bases for big data sets.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Interpret and communicate data analysis results and experiments to product, service & business managers.
- Design, build and maintain dashboards.
- Process confidential data and information according to guidelines.
- Support to setup iterating reports, analysis and dashboards.
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In your career, let’s prove what’s possible.
- Define the enterprise architecture and technology strategy for Agentic AI, AIOps, autonomous operations, and intelligent automation.
- Establish architectural standards, design patterns, and governance frameworks for AI agents and multi-agent systems.
- Design the integration architecture connecting agents to enterprise systems including ServiceNow, cloud platforms, observability platforms, CMDB, developer platforms, and security tooling.
- Develop reference architectures for AI-powered incident response, service management, platform operations, FinOps, cybersecurity, and disaster recovery.
- Partner with executives and technology leaders to align agentic capabilities with business and operational priorities.
- Evaluate emerging technologies, frameworks, and vendors in AI, automation, platform engineering, and cloud-native ecosystems.
- Define policies, controls, and approval models that enable safe autonomous operations.
- Drive architecture reviews and technical governance across multiple engineering and operations teams.
- Mentor engineers and architects while fostering innovation and best practices.
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Teilzeit | befristet | Praktikum
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Teilzeit | befristet | Praktikum
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In your career, let’s prove what’s possible.
- Design and implement enterprise observability strategies across cloud, infrastructure, applications, and platforms.
- Build telemetry pipelines that ingest logs, metrics, traces, events, and topology information.
- Deploy and tune observability platforms to improve operational visibility and service reliability.
- Develop AIOps capabilities including anomaly detection, event correlation, noise reduction, and predictive insights.
- Partner with SRE, platform engineering, cybersecurity, and service operations teams to identify key operational signals.
- Create dashboards, service maps, operational scorecards, and SLO-driven reporting.
- Integrate observability data into AI agents, automation workflows, and operational platforms.
- Establish telemetry standards and observability engineering best practices.
- Drive continuous improvements in MTTD, MTTR, and service health monitoring.
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Vollzeit | Leasing, Zeitarbeit
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Teilzeit | befristet | Praktikum
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Teilzeit | befristet | Praktikum
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Vollzeit | Teilzeit | befristet | Praktikum
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In your career, let’s prove what’s possible.
- Lead the design and implementation of Lam's Agent Platform and Internal Developer Platform.
- Build and operate the cloud-native infrastructure supporting AI agents and automation services.
- Establish platform engineering standards, reusable templates, golden paths, and self-service capabilities.
- Implement GitOps, Infrastructure as Code, policy-as-code, and secure software delivery practices.
- Design deployment pipelines, observability standards, operational controls, and runtime governance.
- Partner with architects, SRE teams, and application teams to onboard services onto the platform.
- Define scalability, reliability, and resiliency requirements for enterprise automation workloads.
- Drive adoption of cloud-native engineering practices across the organization.
- Mentor engineers and build platform engineering excellence.
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In your career, let’s prove what’s possible.
- Define, validate, and align technical requirements with the Account Teams, Sales Operations, and customers to ensure clear scope, feasibility, and customer fit.
- Develop Spin Clean configuration documents and prepare accurate quotes in accordance with the approved Product Option Architecture (POA).
- Create, maintain, and continuously update POAs for assigned products to reflect current product strategy, pricing assumptions, and customer requirements.
- Create new machine Non Standard Requests and link them to the appropriate product configurations to ensure traceability and process compliance.
- Develop evaluation configurations and coordinate alignment with Engineering, Process Engineering and Product Management to support technical validation and customer evaluation activities.
- Analyze and optimize product configurations to reduce costs, improve commercial competitiveness, and maximize profitability.
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In your career, let’s prove what’s possible.
- Develop inspection techniques and metrology recipes supporting the data generation andanalysis for the customer demo support.
- Independently design and conduct experiments, developing tailored analytical methodologies, supporting product development’s engineering testing.
- Plan, carry and oversee complex metrology related projects, documenting results and lessonslearned in BKM.
- Analyze the metrology equipment’s performance and partner with the suppliers on problemsolving and CIP.
- Schedule and organize the needed preventive maintenances and calibrations.
- Support the development of the site’s metrology roadmap, identifying current gaps through the cooperation with the engineering teams, align on the future technical requirements, and setup the implementation strategies.
- Engage with analytical laboratories and wafers suppliers to extend the available engineering testing offer.
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Vollzeit | Teilzeit | befristet | Praktikum
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