L3 Storage Engineer

Wissen Technology is Hiring for L3 Storage Engineer  

About Wissen Technology:   

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent.  Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact the first time, every time.  

Job Summary: We are seeking a highly experienced and skilled L3 Storage Engineer to join our team. The ideal candidate will have a strong background in storage technologies, software development, and enterprise infrastructure. This role involves designing, implementing, and maintaining enterprise-level storage systems while collaborating with cross-functional teams to ensure high availability, performance, and scalability of storage solutions.  

Experience: 8- 12 years  

Location: Bangalore (Local candidates only) Hybrid Mode 3 days

Mode of Work: Full time  

Key Responsibilities:  

• Provide L3-level support for storage infrastructure, resolving complex issues and ensuring minimal downtime.  
  
• Design, implement, and maintain scalable storage solutions and architectures.  
  
• Develop scripts and automation tools using Python or Perl to enhance operational efficiency.  
  
• Collaborate with cross-functional teams including DevOps, Networking, and Infrastructure to optimize storage performance.  
  
• Perform capacity planning, performance analysis, and proactive monitoring of storage systems.  
  
• Participate in incidents, problems, and change management processes.  
  
• Troubleshoot and resolve issues across operating systems, networks, and storage environments.  
  
• Maintain detailed documentation of storage architecture, configurations, and procedures.  
  

Requirements:  

• 8 12 years of relevant experience as a Storage Engineer or similar role.  
  
• Proficiency in Python or Perl programming.  
  
• Strong understanding of Software Development Life Cycle (SDLC) best practices.  
  
• Intermediate knowledge of Computer Science fundamentals.  
  
• Strong organizational and communication skills with the ability to prioritize multiple projects effectively.  
  

Good to have skills:  

• Familiarity with Object-Oriented concepts and SQL programming.  
  
• Knowledge of storage technologies: Fibre Channel, iSCSI, SCSI, NFS, CIFS, POSIX, Object Storage, SAS, SATA, FLASH (NVMe, SSD), RAID, Erasure Coding.  
  
• Experience in Distributed/Scale-out storage, File systems, High-availability methods, and database integration.  
  
• Understanding of networking protocols and connectivity.  
  
• Exposure to enterprise UNIX (RHEL)/Windows Server environments, Container environments (OpenShift/Kubernetes/Docker), and Cloud environments (Azure/AWS/GCP).  
  
• Familiarity with Client/Server and Scale-out architectures, virtualization, performance, and capacity management.  
  
• Effective troubleshooting skills across OS, network, and storage layers .  
  

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