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Platform engineer - ai

Bad Homburg
NTT
Ingenieur
Inserat online seit: 21 September
Beschreibung

JOB DESCRIPTION

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA


As a Platform Engineer at NTT DATA, you will lead the design of complex managed service solutions for our largest enterprise clients. Your role involves driving the strategic vision and direction for these solutions, combining technological expertise and business acumen to create IT strategies and roadmaps aligned with our clients' business objectives, KPIs, and SLAs.

Key Responsabilities:

Platform Development & Architecture

1. Design and build internal developer platforms (IDPs) that provide self-service infrastructure provisioning, deployment pipelines, and operational tooling through intuitive interfaces and APIs
2. Develop comprehensive platform architecture spanning on-premises, cloud, and hybrid environments with focus on scalability and reliability
3. Create developer-friendly abstractions for complex infrastructure concepts, including deployment workflows, environment management, and service discovery mechanisms

Operating Systems & Infrastructure Management

4. Design, implement, and maintain enterprise-grade Linux and Windows server infrastructures, including system installation, configuration, patching, and optimization
5. Perform advanced system administration tasks including user management, security hardening, performance tuning, and troubleshooting across diverse OS environments
6. Implement automated OS provisioning and configuration management using infrastructure-as-code principles

Virtualization Technologies

7. Design, deploy, and manage virtualized infrastructure using VMware vSphere/ESXi, Microsoft Hyper-V, and KVM hypervisors
8. Conduct capacity planning and performance analysis of virtual infrastructures to optimize resource utilization
9. Implement backup and disaster recovery solutions for virtual machines including technologies like Veeam and SRM
10. Integrate virtualization platforms with storage area networks (SAN) and network-attached storage (NAS) solution

Containerization & Orchestration

11. Design, implement, and maintain Kubernetes clusters across various environments (on-premises, cloud, hybrid) with focus on scalability and high availability
12. Optimize container orchestration platforms for performance, cost-efficiency, and resource management including advanced scheduling algorithms
13. Develop and maintain container deployment strategies, including blue-green deployments, canary releases, and rolling updates
14. Implement service mesh technologies and networking solutions for secure, scalable service-to-service communication

Cluster & Resource Management

15. Implement advanced scheduling algorithms and resource allocation strategies for distributed workloads across multi-cluster and multi-tenant environments
16. Design and optimize job scheduling systems with features including backfill algorithms, fair share scheduling, and advance reservations
17. Manage cluster resource allocation including CPU, memory, storage, and specialized hardware (GPUs) with focus on maximizing utilization and minimizing latency
18. Implement automated scaling policies and resource optimization techniques for dynamic workload management

CI/CD Pipeline Engineering

19. Build and maintain sophisticated continuous integration and deployment pipelines incorporating automated testing, security scanning, and progressive deployment strategies
20. Integrate CI/CD systems with Kubernetes and container orchestration platforms for streamlined application delivery
21. Implement GitOps workflows and Infrastructure-as-Code practices using tools like Terraform, Pulumi, and Ansible

Monitoring & Observability

22. Design and implement comprehensive monitoring, logging, and alerting systems providing visibility into platform health and application performance
23. Deploy observability solutions using tools like Prometheus, Grafana, Jaeger, and distributed tracing systems
24. Implement automated anomaly detection and performance optimization based on metrics, logs, and traces

Required Qualifications

Education & Experience

25. Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent practical experience
26. 5+ years of experience in platform engineering, DevOps, site reliability engineering, or similar infrastructure-focused roles

Technical Skills

27. Expert-level knowledge of Linux system administration (Red Hat Enterprise Linux, CentOS, Ubuntu, Debian) including kernel tuning, process management, and security hardening
28. Proficiency in Windows Server administration including Active Directory, Group Policy, and PowerShell scriptin
29. Virtualization Technologies
30. Strong experience with VMware vSphere/ESXi, Microsoft Hyper-V, and open-source hypervisors like KVM
31. Knowledge of virtualization management tools including vCenter Server and System Center Virtual Machine Manage

Containerization & Orchestration

32. Expert-level Kubernetes administration including cluster setup, networking, storage, and security
33. Proficiency with Docker containerization and container image management preferableincluding RAFAY and RANCHER platforms
34. Experience with container orchestration patterns and service mesh technologies

Cloud Platforms

35. Hands-on experience with major cloud platforms (AWS, Azure, Google Cloud Platform) including compute, networking, and storage services
36. Knowledge of cloud-native technologies and hybrid cloud architecture

Programming & Scripting

37. Proficiency in scripting languages including Python, Bash, Go, and PowerShell for automation and infrastructure management
38. Experience with Infrastructure-as-Code tools like Terraform, Pulumi, CloudFormation, or Ansible

Monitoring & Observability

39. Experience with monitoring solutions including Prometheus, Grafana, Datadog, ELK Stack, and distributed tracing tools
40. Knowledge of observability best practices including metrics, logs, and traces correlation

Cluster & Resource Management

41. Experience with job schedulers and resource management systems like Slurm, PBS, or Kubernetes scheduling frameworks
42. Understanding of distributed systems architecture and resource optimization techniques

Soft Skills

43. Strong analytical and problem-solving abilities with experience in complex system troubleshooting
44. Excellent communication skills and ability to work effectively with cross-functional virtual teams
45. Product mindset with focus on developer experience and platform usability
46. Excellent ability to work effectively remote and virtually across Europe & International

Preferred Qualifications

47. Kubernetes certifications (CKA, CKAD, CKS) or equivalent cloud platform certifications
48. Experience with service mesh technologies (Istio, Linkerd) and API gateway solutions
49. Knowledge of security frameworks and compliance standards (SOC 2, ISO 27001, HIPAA)
50. Experience with GitOps practices and advanced CI/CD patterns
51. Background in high-performance computing or large-scale distributed systems

Workplace type:

Remote Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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