In your career, let’s prove what’s possible.
- Design and deliver self‑healing automation that proactively detects common failure conditions, automatically remediates known issues, and prevents incident recurrence
- Architect and operate one‑click resolution workflows that standardize recovery actions and significantly reduce dependency on manual intervention
- Design, implement, and maintain DevOps‑based automation for software packaging, deployment, and lifecycle management across corporate client endpoints
- Build and own CI/CD pipelines to ensure automation is versioned, tested, secure, and deployed reliably at scale
- Create and maintain robust scripts, tooling, and automation frameworks to eliminate manual operational effort and reduce MTTR
- Integrate automation and remediation logic with endpoint management, monitoring, and alerting platforms to enable event‑driven remediation
- Analyze incident trends and operational pain points to identify and prioritize high‑impact self‑healing use cases
- Partner with Client Services, Security, and other operations teams to align automation outcomes with reliability and risk objectives
- Continuously improve automation coverage, effectiveness, and resilience through metrics, operational feedback, and iterative enhancement
- Document automation solutions, remediation logic, and operational runbooks to support consistent adoption and long‑term maintainability
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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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In your career, let’s prove what’s possible.
- Is the lead engineer of a development program (product), making sure that mechanical and electrical hardware and the tool software work together to meet the system specification
- Owns developing the system specification based on the product specification and configuration options
- Is accountable for resolving design tradeoffs/conflicts to ensure the design is integrated, such that the overall product performs as described in the system specification
- Assures that the system meets engineering- and compliance standards, especially in the concept and detailed design phases
- Owns BOM (bill of material) setup and execution of the documentation release plan
- Prepares all required program/product related Engineering deliverables (e.g. FMEA, technical specifications, risk analyses)
- Technical responsible that all interfaces for the entire product are well defined and working
- Participates in the cost allocation model and assures that designs meet the cost targets
- Owns developing the reliability allocation model, the reliability design approach and test plans
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In your career, let’s prove what’s possible.
- Design, develop, and maintain electrical and electronic circuits throughout all phases of the product lifecycle.
- Drive component selection, circuit development, design verification, testing, and evaluation of control systems for our products.
- Collaborate closely with a multidisciplinary engineering team, including electrical, mechanical, and software engineers, technical support specialists, productivity engineers, and external suppliers, to design, develop, and enhance custom and OEM components.
- Develop, execute, and analyze test plans and procedures to ensure technical and operational requirements are fully met, validated, and documented.
- Collect, evaluate, and present technical data and findings to support informed decision-making during design, project, and program reviews.
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In your career, let’s prove what’s possible.
- Develop and maintain factory capacity models, labor forecasts, and resource planning scenarios
- Perform data-driven analysis to identify bottlenecks and capacity constraints
- Prepare reports and recommendations for site and global stakeholders
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In your career, let’s prove what’s possible.
- Provide service, maintenance, and repair support for advanced high-tech equipment at customer sites.
- Troubleshoot technical issues and identify root causes of equipment failures.
- Install, start up, and relocate equipment when required.
- Perform diagnostics and implement solutions to minimize downtime.
- Support equipment upgrades and engineering changes.
- Read and work with electrical and mechanical drawings, diagrams, and manuals.
- Maintain accurate service and project documentation.
- Collaborate with customers and internal teams to ensure excellent service.
- Support and execute smaller technical projects and gradually take ownership of more complex tasks.
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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 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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Vollzeit
Villach, München
24.08.2026
Villach, München
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