About Us 

We’re Hitachi Vantara, a global infrastructure business. Our people are the force of meaningful progress. We enable the incredible with data – from taking theme park fans on magical rides, conserving natural resources, protecting rainforests to saving lives. We empower businesses to automate, optimize, and advance innovation. Together, we create a sustainable future for all. 
Imagine the sheer breadth of talent it takes to inspire the future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally important to us. 

Role Overview 

Hitachi Vantara is seeking a Data Infrastructure Engineer to join our Global Quality Assurance and Engineering organization. In this role, you will support the design, development, and maintenance of the data infrastructure that powers analytics, AI integrations, and large‑scale data workflows across our products. 

You will work with senior engineers to build reliable data pipelines, manage storage and compute environments, ensure data quality, and support integrations with third‑party data systems. This role is ideal for an early‑career engineer who enjoys working with distributed systems, storage platforms, networking fundamentals, and cloud‑native infrastructure. 

Experience: 1–3+ Years 
Job Location: Kolkata, India 

Key Responsibilities 

• Infrastructure Operations: Support the setup, monitoring, and troubleshooting of data infrastructure components across cloud and on‑prem environments. 

• Storage & Compute Management: Work with distributed storage systems, object stores, block storage, file storage and compute clusters to ensure performance and reliability. 

• Networking Support: Help diagnose connectivity issues, validate network paths, and ensure reliable communication between distributed systems. 

• Data Quality & Validation: Implement checks to ensure data accuracy, consistency, and completeness across systems. 

• Integration Support: Validate and maintain integrations with third‑party data platforms, APIs, and vendor‑provided data services. 

• Automation & Scripting: Develop scripts and small tools to automate routine infrastructure tasks. 

• Documentation: Maintain clear documentation for data workflows, infrastructure components, and operational procedures. 

• Collaboration: Work with global teams across India, Japan, and the US to support data‑related initiatives and cross‑functional projects. 

• Continuous Improvement: Identify opportunities to improve data reliability, performance, and operational efficiency. 

• Monitoring & Observability: Assist in configuring dashboards, alerts, and logs for data systems using tools like Prometheus, Grafana, or cloud‑native monitoring. 

• Data Pipeline Support: Assist in building, maintaining, and optimizing data pipelines for ingestion, transformation, and delivery. 

Required Skills 

• 1–3+ years of experience in infrastructure, systems engineering, data engineering, or related technical roles. 

• Strong foundational knowledge of storage technologies, such as block storage, object storage (S3‑compatible systems), NFS, or distributed file systems. 

• Understanding of networking fundamentals, including TCP/IP, DNS, routing, load balancing, VLANs, and network troubleshooting. 

• Familiarity with Linux/UNIX/Windows administration, including system monitoring, resource management, and troubleshooting. 

• Familiarity with VMWARE environment, Vcenter/ESXi management, and troubleshooting. 

• Exposure to compute platforms, including virtual machines, containers, and orchestration tools (Docker, Kubernetes basics). 

• Basic experience with cloud infrastructure (AWS, Azure, or GCP), especially storage, networking, and compute services. 

• Ability to write scripts in Python, Bash, or similar languages to automate infrastructure tasks. 

• Understanding of monitoring and observability concepts (metrics, logs, alerts) and experience with tools like Prometheus, Grafana, or cloud‑native monitoring. 

• Familiarity with CI/CD pipelines and version control (Git). 

• Strong analytical and problem‑solving skills with a willingness to learn complex distributed systems. 

• Good communication skills and ability to collaborate with global teams. 

Preferred Qualifications 

• Coursework, internship, or project experience in infrastructure engineering, storage systems, or cloud operations. 

• Certifications such as:  

• VMware Certified Technical Associate (VCTA) for virtualization and compute. 

• Red Hat Certified System Administrator (RHCSA) 

• Windows Server Hybrid Administrator Associate 

• CompTIA Network+ (networking fundamentals) 

• CompTIA Linux+ (Linux systems) 

• AWS Cloud Practitioner  

• Azure Fundamentals (AZ‑900) 

• Google Cloud Digital Leader 

• Exposure to Infrastructure‑as‑Code tools (Terraform, Ansible). 

• Familiarity with monitoring tools (Prometheus, Grafana, CloudWatch, Azure Monitor). 

• Experience with distributed systems or storage platforms (Ceph, MinIO, GlusterFS, NetApp, or similar).