Technical Support Engineer (Infra / Deploy)

About the Project

Our client is a Business Intelligence platform enabling customers to connect multiple data sources (e.g., Excel, SQL) into a unified environment, build interactive dashboards, apply formulas, and customize via plugins, scripts, and embedding. The product supports both SaaS and on-prem deployments. Support is organized into 4 pods : Analytics, DevEx, Data, and Infra.

About Role :

As a Technical Solutions Engineer, you will work with leading enterprise organizations and startups to realize the power of data analytics. Our Technical Solutions team spans the globe and uses the SWARM model for our tools, processes, and organizational structure. This shift focuses on driving a collaborative, rewarding environment that measures value creation and team playing.

Our team is aligned directly with our Product and Engineering teams through a robust Subject Matter Expert program. We are employing best-in-breed tools along with processes co-authored or directly influenced by our team. We believe in the power of great customer experience, and the happiest customers are made by having the happiest team helping them.

Work Hours : PST business hours.

Required skills :

• Proven hands-on experience supporting a software platform / product in a customer-facing B2B environment.
• Ability to communicate complex technical concepts in a clear, concise, and professional manner.
• Hands-on experience with Linux operating systems (Debian and RHEL-based), including package management, service management, log analysis, file permissions, user and process management, and troubleshooting system resources (CPU, memory, disk, I / O).
• Basic networking knowledge, including OSI,DNS, TCP / IP, SSL / TLS, subnets, routing, and firewall concepts, with ability to troubleshoot using tools like ping, traceroute, curl, or netstat.
• Understanding of containerisation (images, containers, networking, volumes) and virtualisation (VMs, hypervisors) concepts, and familiarity with orchestration concepts such as deployments, scaling, and service discovery.
• Hands-on experience with Docker and Kubernetes is a strong advantage.

Nice to have :

About you :

Scope of work :