Platform Engineer

Job not on LinkedIn

🕒 May 29

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hitachi

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1910

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

📋 Description

• Contribute to the design, implementation, and evolution of the Global AI Platform, ensuring scalability, security, and reliability across environments. • Operate and maintain core platform components, including Azure AI Foundry, Azure API Management (APIM), AI gateways (e.g., Portkey), and supporting Azure services. • Monitor platform health, troubleshoot incidents, and resolve operational issues to ensure continuous availability and performance of AI services. • Manage and fulfill platform-related requests such as onboarding new use cases, enabling models, configuring integrations, and managing access controls. • Design and implement infrastructure-as-code (IaC) using Terraform to enable consistent, automated, and repeatable platform deployments. • Develop and maintain CI/CD pipelines using Azure DevOps to support platform configuration, deployment, and lifecycle management. • Define and implement platform governance, including model access policies, guardrails, usage controls, and integration standards. • Enable secure exposure and consumption of AI services through Azure APIM and AI gateways, ensuring proper authentication, authorization, and traffic management. • Collaborate with solution architects, data scientists, and application teams to onboard and support AI use cases aligned with platform standards. • Identify opportunities to enhance platform capabilities, improve operational efficiency, and evolve the platform in line with business needs and technological advancements. • Maintain platform documentation, architecture artifacts, and operational procedures to support knowledge sharing and platform sustainability.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 5+ years of experience in platform engineering, cloud engineering, or infrastructure roles, preferably with exposure to AI/ML platforms. • Strong hands-on experience with Microsoft Azure, including: Azure AI Foundry, Azure API Management (APIM), Azure DevOps, Core Azure networking, identity, and security concepts. • Proven experience operating cloud platforms in production environments, including incident management and troubleshooting. • Hands-on experience with Infrastructure as Code (Terraform) and multi-environment deployment strategies. • Experience working with AI gateways or API gateway technologies (e.g., Portkey or similar) for managing and governing AI/LLM access. • Solid understanding of API management, service integration patterns, and secure exposure of services. • Familiarity with AI platform concepts such as model lifecycle, LLM access control, and guardrails. • Strong problem-solving skills and ability to work in distributed, cloud-based environments. • Experience working in Agile teams and collaborating across multiple stakeholders. • Good communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible work arrangements