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Hitachi Energy

Global electrical transmission and grid modernization

Senior Platform Engineering Lead

Platform EngineeringConfirmed live in the last 24 hours
Full-timeHo Chi Minh City, VietnamNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in platform engineering, cloud architecture, or infrastructure architecture.
  • Strong experience designing hybrid and multi-cloud platforms and defining enterprise-scale architecture standards.
  • Proven leadership experience in architecture or senior technical roles.
  • Deep expertise in at least two of AWS, Azure, or GCP.
  • Strong understanding of on-premise infrastructure and data center architecture.
  • Strong knowledge of Kubernetes ecosystems.
  • Understanding of CI/CD, DevSecOps, and automation frameworks.
  • Familiarity with Infrastructure as Code; Terraform is preferred.
  • Strong architectural knowledge of modern data platforms.
  • Strong architecture and system design expertise, with ability to translate business requirements into scalable technical blueprints.
  • Strategic thinking with governance and alignment capability.
  • Excellent communication and stakeholder management skills.
  • Cross-domain knowledge across infrastructure, applications, data, and AI.

Responsibilities

  • Define and own the target architecture for a unified hybrid platform across on-premise infrastructure and AWS, Azure, and GCP.
  • Establish a platform-as-a-product model with reusable services and self-service capabilities.
  • Develop reference architectures, design principles, and standards across all platform layers.
  • Act as the primary architecture authority for platform engineering.
  • Provide guidance and oversight for engineering teams implementing the platform.
  • Define architecture governance, review processes, and technology standards, ensuring platform design aligns with business goals.
  • Define architecture for modern application platforms, including Kubernetes-based environments using EKS, AKS, GKE, or on-premise deployments, and microservices and service mesh patterns.
  • Establish DevSecOps and CI/CD architecture standards.
  • Drive the design of an Internal Developer Platform and self-service capabilities.
  • Define observability architecture for monitoring, logging, and tracing.
  • Design scalable data platform architecture, including data lake, data warehouse, or lakehouse models and batch and streaming data processing frameworks.
  • Define data governance, security, and integration architecture, and ensure interoperability across cloud and on-premise environments.
  • Define architecture for AI/ML platforms, including MLOps pipelines.
  • Lead the design of Agentic AI platform capabilities, including AI agent orchestration frameworks, integration with LLM platforms and enterprise systems, agent lifecycle management, reasoning workflows, and safety controls.
  • Establish standards for integrating with Azure AI, AWS SageMaker, and Google Vertex AI.
  • Define infrastructure patterns for GPU and high-performance workloads.
  • Design on-premise data center architecture, including virtualization with VMware or OpenStack, networking, storage, and disaster recovery.
  • Define multi-cloud landing zones, connectivity, and governance models.
  • Establish Infrastructure as Code standards and patterns.
  • Define security architecture for IAM, encryption, and secrets management.
  • Establish zero-trust and secure-by-design principles.
  • Define frameworks for resilience, scalability, and high availability.
  • Guide adoption of cost optimization (FinOps) practices.
  • Lead and mentor platform architects and engineering teams.
  • Collaborate with application teams, data and AI teams, and infrastructure and security leaders.
  • Drive adoption of platform standards and architectural blueprints.
  • Communicate the architecture vision to technical and business stakeholders.

Desired Qualifications

  • Experience with data ecosystem tools such as Databricks, Snowflake, or BigQuery.
  • Experience designing or enabling AI/ML platforms and MLOps pipelines.
  • Understanding of LLM ecosystems and agent-based systems and orchestration frameworks.

About the Company

Hitachi Energy

Global electrical transmission and grid modernization

Hitachi Energy provides systems and solutions for transmitting and distributing electricity. It sells and implements equipment such as transformers, high‑voltage gear, and grid automation tools that help move power from generation sites to homes and businesses. Its offerings include hardware and software that monitor, control, and optimize electrical grids, with AI, data analytics, and automation to improve efficiency and reliability. The company differentiates itself by combining its global engineering footprint with advanced digital technologies and a broad portfolio that covers transmission, distribution, and grid optimization, backed by a presence in more than 140 countries and a workforce of over 40,000. Its goal is to support a cleaner, more flexible, and carbon‑neutral energy future by modernizing infrastructure and integrating renewable energy sources.

Company size
10,001+
Company stage
Grant
Total funding
$22M
Headquarters
Zurich, Switzerland
Founded
1900

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