Senior DevOps Engineer

Predictable.
Scalable.
Boring.

Senior DevOps Engineer with 5+ years of experience elevating platform efficiency. I drive TCO reduction and developer velocity by building boring, predictable systems—whether on bare-metal, hybrid, or pure cloud (AWS, EKS, Serverless).

In plain English: I keep systems fast, cheap, and always online.

Download Resume

Bangalore, India · Full-time · Remote-friendly

Bare MetalK3s on physical hardware
Hybrid CloudBridging AWS & on-prem
Disaster RecoveryRTO < 10min
Cost Ops~25% spend reduction

Platform Impact

Force Multiplier

My work doesn't just improve one server; it lifts the baseline for the entire engineering organization.

0+

Teams Supported

000+

Microservices

~00%

Incidents Reduced

~00h/wk

Dev Time Saved

How I Work

Leadership without Authority

Driving consensus and technical excellence across distributed teams.

Design Reviews

I lead infra design reviews to catch scalability issues before a single line of code is written.

Mentorship

I mentor engineers on reliability patterns, cost optimization, and incident management.

Escalation Point

I act as the final escalation point for complex production incidents that stump the on-call team.

Boring Systems

I bias heavily toward boring, proven technology over the latest hype to ensure long-term maintainability.

Case Studies

Experience Log

Ad-Tech Scale Up — 3 months • Team of 2

The Bare-Metal Orchestration

K3sHAProxyBare MetalAnsibleAerospikeGrafana

Key Impact

50+ On-Prem Nodes
60% Savings vs Cloud
Sub-500ms Latency (p99)

The Challenge

Managing high-throughput ad-tech traffic on rigid bare-metal infrastructure lacked the elasticity of the cloud, risking latency spikes during traffic surges.

The Goal

Architect a Kubernetes layer on top of bare metal to bring cloud-native flexibility to physical hardware without the virtualization overhead.

The Solution

Drove a 60% TCO reduction vs. public cloud by deciding to pivot to a bare-metal K3s architecture (trading operational convenience for massive financial gain).

Led resolution of critical production incidents (DNS, HAProxy) and optimized ingress for zero-downtime reloads under high burst traffic.

Built a complete observability ecosystem with 100+ Grafana dashboards covering infrastructure health and business KPIs.

Trade-offs

Chose K3s over full Upstream K8s for lighter footprint on bare metal, accepting reduced ecosystem compatibility.

Accepted higher maintenance complexity of bare-metal to ensure massive long-term financial stability.

Prioritized predictable performance over maximum theoretical density by using dedicated CPU pinning.

The Outcome

Achieved cloud-like orchestration on owned hardware, maintaining low-latency ad delivery while owning the full stack and reducing potential cloud costs by 60%.

Things I've Built

Open Source

Sairo object browser

Sairo

v3.5 · Apache-2.0 · Open Source

Object storage, beautifully engineered.

Most object-storage UIs crawl to a halt past a few thousand objects. Sairo stays instant at 15.5 million — folder navigation is a constant-time index lookup that lands at the network floor.

A self-hosted, S3-compatible storage platform — far more than a browser. It breaks down storage cost across 13 providers with optimization recommendations, and exposes an AI-queryable analytics layer over MCP. Built full-stack (FastAPI · React · Go CLI · SQLite FTS5) and proven on a live 269 TB / 15.5M-object deployment.

15.5M · 269TB
Live deployment
191,231×
Folder-listing speedup
13
Providers, cost intel
26
AI tools (MCP)

Constant-time at any scale

Folder navigation is an index lookup — 0.002ms on 2M-object buckets (191,231× faster than the naive path) — plus SQLite FTS5 full-text search across millions of keys.

Adaptive delta crawler

Picks up new objects in ~30s vs a 7-minute full re-crawl, auto-parallelizing across sub-prefixes (16 workers / 12 buckets).

Cost intelligence

Per-folder cost across 13 providers with live AWS pricing; cold-data, duplicate & lifecycle-gap detection with tiering-savings recommendations.

AI storage intelligence

A 26-tool MCP server (+4 guided workflows) exposes the whole analytics layer to Claude Desktop, Cursor & any MCP client — hardened with 75 security tests.

Memory-bounded uploads

Direct browser→S3 multipart upload for files of any size (114 MB/s), with just-in-time part signing — server RAM stays ~100MB regardless of file size.

Per-user S3-key scoping

Every call uses the logged-in user’s own S3 credentials, so IAM scopes what they can see. Plus RBAC, 2FA, OAuth/LDAP, encrypted creds & an audit log.

Single container · zero external dependencies · Helm chart · Go CLI · 394 end-to-end tests · cosign-signed multi-arch images + SBOM

Python · FastAPIReact · ViteGo CLISQLite FTS5MCPDocker · Helmboto3

Dependencies

Tech Stack

The tools and technologies I work with daily.

Cloud & Infrastructure

AWSAzureTerraformAnsible

Orchestration

KubernetesEKSK3sHelmBare-MetalDocker

CI/CD

JenkinsSpinnakerGitHub ActionsRancher FleetCircleCI

Monitoring

PrometheusGrafanaCloudWatchELK StackOpenTelemetry

Security & Networking

CheckmarxIAMHAProxyNginxIngress

Data & Processing

AerospikeAirflowSupersetDruid

Automation & Scripting

PythonGoShellGroovyPowerShell

Tools

LinuxGitHubJIRA

Handshake

Let's Connect

Currently open to new opportunities. Have a question or just want to say hi?

Or download my resume