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Ritesh Kumar Tiwari

@riteshkumartiwari

I build Kubernetes observability and reliable cloud-native telecom platforms for Tier-1 operators.

India
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What I'm looking for

I'm looking to lead cloud-native telecom and observability initiatives where I can build Prometheus and Grafana monitoring at scale, improve production reliability, and guide global engineering teams delivering critical network platforms.

I'm leading a 45+ engineer team at Infinite Computer Solutions for Nokia GSID and T-Mobile USA, delivering Nokia Cloud Signaling Director CNF platforms.

I design Kubernetes observability for cloud-native signaling applications including SLF, SCP, and SEPP, using Prometheus alerting and Grafana dashboards to track cluster health, CNF performance, availability, latency, and signaling KPIs.

Across LTI Mindtree, Mavenir, HCL Technologies, and Ericsson, I've supported 4G, 5G Core, IMS, and VoLTE production environments through deployment, performance testing, incident management, network changes, and observability-driven root-cause analysis.

Over 19+ years, I've helped Tier-1 operators improve production reliability and incident response through proactive monitoring, packet analysis, log correlation, and technical leadership.

Experience

Work history, roles, and key accomplishments

IS
Current

Technical Architect & Technical Project Manager

Infinite Computer Solutions

Apr 2024 - Present (2 years 5 months)

Lead a team of 45+ engineers delivering Nokia Cloud Signaling Director (CSD) CNF platforms. Manage end-to-end deployment and operations of cloud-native signaling applications, and design Kubernetes-based observability architecture using Prometheus and Grafana.

Education

Degrees, certifications, and relevant coursework

Amity University logoAU

Amity University

MBA, IT & Marketing

Pursued an MBA with a focus on IT and Marketing, completing the program in 2009.

UU

UP Technical University

B.Tech, Electronics & Communication

Completed a Bachelor of Technology in Electronics & Communication, graduating in 2007.

Tech stack

Software and tools used professionally

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