AI Platform Engineer

Siemens Energy

Gurugram District

Hybrid

INR 4,000,000 - 8,000,000

Full time

2 days ago
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Benefits offered by this job

Remote up to 2 days/week
Global distributed team
Innovative projects
Medical benefits
Paid time off
Learn@Siemens-Energy

Job summary

Siemens Energy is seeking an experienced AI Platform Engineer to design, implement, and operate enterprise-grade cloud infrastructure across AWS, Azure, and GCP. You will enable AI/ML workloads, boost DevOps automation, and ensure secure, compliant operations for mission-critical apps.

You will collaborate with engineering, product, and security teams to deliver scalable cloud platforms, support AI infrastructure needs, and improve operational excellence through automation, observability, and

Qualifications

  • 5-8 years in cloud infrastructure and DevOps.
  • Proven experience across AWS, Azure, and GCP.
  • Hands-on with Terraform, Kubernetes, and CI/CD tooling.
  • Strong scripting in Python, Bash, PowerShell, and YAML.

Responsibilities

  • Architect and manage scalable, secure, multi-cloud infrastructure across AWS, Azure, and GCP.
  • Build and optimize CI/CD pipelines and IaC workflows.
  • Manage Kubernetes environments across EKS, AKS, and GKE; governance and RBAC.
  • Improve observability and logging with Prometheus, Grafana, and ELK stacks.
  • Document architectures and SOPs; mentor teams on cloud engineering and DevOps.

Skills

Multi-cloud architecture
DevOps & IaC
Terraform
Kubernetes
CI/CD
Python
Bash
PowerShell
YAML
Cloud platforms
Security compliance
Observability

Tools

AWS
Azure
GCP
GitHub
GitLab
Azure DevOps
Jenkins
Docker
Kubernetes
Helm
GitOps

Job description

As an AI Platform Engineer, you will be responsible for designing, implementing, and operating enterprise-grade cloud and platform infrastructure across AWS, Azure, and GCP. Your day will involve enabling AI and ML workloads, strengthening DevOps automation, and ensuring reliable, secure, and compliant operations for mission-critical applications. You will collaborate closely with engineering, product, and security teams to deliver scalable cloud platforms, support AI infrastructure needs, and continuously improve operational excellence through automation, observability, and governance.

How You’ll Make An Impact
  • Architect, design, and manage scalable, secure, and cost-efficient infrastructure across AWS, Azure, and GCP.
  • Build, automate, and optimize CI/CD pipelines, Infrastructure-as-Code (IaC) workflows, and cloud-native deployments.
  • Manage Kubernetes environments including Amazon EKS, Azure AKS, and Google GKE, covering governance, RBAC, networking, and autoscaling.
  • Perform infrastructure troubleshooting across compute, networking, storage, security, and platform layers.
  • Implement organization-wide DevOps practices, including observability and monitoring solutions using Prometheus, Grafana, and ELK stacks.
  • Design, deploy, and manage GPU-based and AI/ML infrastructure, including centralized Model Control Platforms (MCP) and model-serving platforms.
  • Ensure adherence to IT compliance standards, security policies, AI governance frameworks, and audit requirements.
  • Collaborate with engineering, product, and security teams to deliver reliable, resilient, and scalable cloud services.
  • Document cloud architectures, standard operating procedures (SOPs), and process workflows.
  • Mentor and guide teams on cloud engineering, platform operations, and DevOps best practices.
What You Bring
  • 5-8 years of professional experience in cloud infrastructure, platform engineering, and DevOps roles.
  • Proven expertise in multi-cloud architecture and platform scaling across AWS, Azure, and GCP.
  • Strong hands-on experience with cloud services including compute, storage, IAM, networking, serverless, and managed services across AWS, Azure, and GCP.
  • Deep experience with DevOps and automation tools such as Terraform, GitHub, GitLab, Azure DevOps, Jenkins, Docker, Kubernetes, Helm, and GitOps practices.
  • Proficiency in scripting and programming languages including Python, Bash, PowerShell, and YAML.
  • Hands-on experience managing platforms such as EKS, AKS, GKE, and implementing automated deployment pipelines.
  • Experience with observability platforms and monitoring stacks.
  • Strong understanding of security compliance, AI governance, risk assessments, and operational controls.
  • Ability to work collaboratively with cross-functional teams and communicate effectively in a complex enterprise environment.
About The Team

Our Corporate and Global Functions play a critical role in driving Siemens Energy’s strategic initiatives and ensuring operational excellence across departments, business areas, and regions. As part of this team, you will contribute to shaping the global energy transition, partner with internal and external stakeholders, and conduct business responsibly while adhering to legal and regulatory requirements.

Who is Siemens Energy?

Siemens Energy

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards / Benefits
  • Employees are eligible for remote working arrangements up to 2 days per week.
  • Opportunities to work with a distributed, global team.
  • Opportunities to work on and lead a variety of innovative projects.
  • Medical benefits.
  • Time off, paid holidays, and parental leave.
  • Continual learning through the Learn@Siemens-Energy platform.

https://jobs.siemens-energy.com/jobs

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