Cloud & Infrastructure Platform Engineer
$31,200–$31,200 year
On-siteBengaluru, Karnataka, India
Job Summary
Support the design and evolution of infrastructure platforms for engineering analytics, ML/AI, and GenAI workloads with a cloud-first architecture. Review existing systems to recommend improvements in performance, reliability, and security, then translate requirements into practical technical designs and implementation plans. Partner with Engineering, Data/Analytics, IT/OT, and Cybersecurity teams to align capabilities with business needs while ensuring secure, resilient operations. Lead infrastructure initiatives across architecture, design, deployment, and transition for hybrid environments, applying LEAN and Agile practices to drive automation and measurable outcomes. Troubleshoot platform issues, track SLAs and KPIs, and document specifications to maintain a robust knowledge base. Contribute to architectural decisions for compute, storage, and networking that enable scalable access to data and compute for advanced energy solutions.
Required Qualifications
- 5-8 years of experience
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent experience/knowledge
- Experience in infrastructure architecture, cloud platform engineering, enterprise infrastructure, or related technical roles
- Experience contributing to infrastructure initiatives in industrial, enterprise, or engineering environments, including cloud and hybrid deployments
- Strong understanding of Cloud platforms (AWS, Azure) and hybrid architectures, with a cloud-first mindset and some practical on-premises experience
- Strong understanding of Virtualization and platform operations (for example VMware, Hyper-V, Nutanix, containers, or orchestration platforms)
- Strong understanding of Infrastructure automation, platform operations, and DevOps practices as applied to infrastructure and platform delivery
- Strong understanding of Infrastructure as Code and repeatable cloud provisioning patterns
- Ability to translate infrastructure and security requirements into practical implementation plans
- Foundational knowledge of enterprise networking, compute, storage, and resiliency concepts
- Effective communication and collaboration skills with the ability to work across teams including engineering, IT/OT, cybersecurity, operations, and leadership
Desired Qualifications
- Familiarity with data architecture, storage patterns, and platform requirements for analytics and AI-enabled workloads
- Experience in the energy, power generation, aerospace, manufacturing, or heavy industrial equipment sectors
- Familiarity with engineering tools, reliability analytics, digital twin environments, or data-intensive engineering platforms
- Exposure to SCADA, historians, industrial remote monitoring systems, or IT/OT integration concepts
- Exposure to ML/AI, GenAI, LLMs, or AI platform concepts from an infrastructure and platform perspective
- Experience supporting engineering, manufacturing, industrial analytics, or other operational environments is a plus
- Hands-on scripting or automation experience (for example Python, PowerShell, Bash, or SQL) to support infrastructure and operational workflows
- Background in LEAN, Six Sigma, site reliability, or operational excellence methodologies
- Working knowledge of cybersecurity principles relevant to cloud, enterprise infrastructure, and OT-connected environments, including identity, access control, hardening, logging, and compliance
- Excellent critical thinking skills
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