Dheeraj Vanamala

Co-Founder

Hyderabad, Telangana, India4 yrs 4 mos experience

Highly Stable

Key Highlights

Founder of an open-source observability governance platform.
Reduced infrastructure costs by ₹25 lakh/month at Jukshio.
Led a team to optimize a nationwide KYC platform.

Stackforce AI infers this person is a SaaS-focused observability and platform engineering expert.

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Skills

Core Skills

Infrastructure OptimizationPlatform Reliability

Other Skills

DockerHelm ChartsGCPKubernetesCI/CDPostgreSQLPlatform EngineeringCIEnglishInfrastructure as code (IaC)MimirJaegerOpenTelemetryObservabilityPrometheus

About

I'm building Clarvynn, an open-source observability governance platform that helps teams reduce telemetry costs without losing critical signals. I spent 4 years at Jukshio Technologies as an R&D Engineer, working on infrastructure optimization, disaster recovery, and platform reliability for production systems at scale. The problem I'm solving: teams generate terabytes of telemetry they know is wasteful (health checks, debug logs, routine operations), but have no systematic way to control what gets created. Cloud providers charge per GB, so this waste translates directly to cost. While I'm focused on Clarvynn, I'm also open to remote platform engineering roles where I can contribute to observability, FinOps, or infrastructure challenges at scale. Let's connect if you're interested in observability governance or hiring for platform engineering roles.

Experience

Signoz

Product

Jan 2026 – Present · 3 mos · Bengaluru · Remote

Clarvynn

Founder

Mar 2025 – Present · 1 yr 1 mo · Hyderabad, Telangana, India

Building observability governance tools to reduce telemetry costs without losing critical signals.
Focus: Reducing telemetry volume 60-80% while preserving critical signals (errors, performance issues, security events)
Open source under Apache 2.0 license

Jukshio

2 roles

R&D Engineer I

Dec 2021 – Mar 2025 · 3 yrs 3 mos · Hyderabad, Telangana, India

Led infrastructure optimization and backend development for nationwide KYC platform serving millions of transactions.
Reduced GCP infrastructure costs by ₹25 lakh/month through systematic optimization of compute, storage, and ML model deployment
Implemented Kubernetes HPA-based auto-scaling for production micro services handling 300+ TPS.
Designed and implemented disaster recovery system for Milvus vector databases in production.
Implemented GitLab CI/CD pipelines for automated deployments across GCP infrastructure.
Led security remediation eliminating critical Python dependency vulnerabilities across the application stack.
Led 4-member Python backend team, serving as technical point of contact for ML, backend, and product teams.

DockerHelm ChartsInfrastructure OptimizationPlatform Reliability