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Photo of Sahil

hi, sahil here. 👋

yo DevOps engineer from India 🇮🇳

I build cloud systems that don't break at 3am. From zero-downtime migrations to cost-optimized infrastructure. I obsess over reliability, automation, and giving teams the confidence to deploy. Currently architecting scalable infrastructure at Buyogo AG.

Open to workDevOps / Platform / SRE
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$ current-stack

AWSTerraformKubernetesGitHub ActionsPrometheus
LinkedInGitHubEmail
AWS icon
AWS
Kubernetes icon
Kubernetes
Docker icon
Docker
Terraform icon
Terraform
Prometheus icon
Prometheus
Grafana icon
Grafana
n8n icon
n8n
Supabase icon
Supabase
Sahil Terminal
Sahil Terminal — type `help` to explore skills, experience, projects.
sahil@portfolio ~ %

why devops?

My journey, philosophy, and what drives me

My Journey

I fell in love with DevOps when I realized deployments were the invisible bottleneck. Teams shipped code, but getting it to production safely and reliably? That's where the real problem lived. I became obsessed with removing that friction—building systems where infrastructure gets out of the way so engineers can focus on shipping.

My Philosophy

I believe infrastructure should be boring. Not in a boring-as-in-uninteresting way, but in a boring-as-in-it-just-works way. No surprises at 3am. No manual firefighting. I design systems with reliability and automation at the core, where scaling happens invisibly and observability tells the story of what's happening before it becomes a problem.

What I Value

I'm passionate about infrastructure that's reproducible, observable, and cost-conscious. I love solving problems that have scale (500+ users, millions of requests). I value teams that care about operational excellence and aren't afraid to question "the way we've always done it." Give me a problem where reliability matters, and I'll obsess over getting it right.

0k+

AWS cost savings optimized

0%

Faster deployments

0+

Users & merchants served

0.00%

Uptime achieved

Skills & Expertise

Technologies and tools I work with

featured projects

Infra and automation work I ship.

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Production InfrastructureMulti-Region & Multi-Tenant

cloud architecture & systems

High-availability Kubernetes topologies, dual L4/L7 ingress routing, and automated GitOps continuous delivery.

Deep-Dive Case Study →
Filter Path:
Interactive Topology • Click node to inspect

EKS Cluster

mTLS / VPC Mesh

Compute & Orchestration

Kubernetes 1.29KarpenterHelm
Engineering Challenge

Multi-tenant compute demand with unpredictable burst spikes; static node pools caused either high idle cloud bills or throttling.

Architectural Decision & Design

Namespace-per-tenant Kubernetes partitioning with hard ResourceQuotas and Karpenter for sub-minute just-in-time spot instance provisioning.

Production Impact & Reliability SLA:
40%Cost Reduction
  • B

    Buyogo AG

    Software Engineer — DevOps & Cloud Infrastructure

    • Architected a 99.99% available multi-tenant FTP ingress platform (500+ merchants) using SFTP-gateway and automated AWS provisioning
    • Led ClickOps → Terraform migration + CI/CD modernization (GitHub Actions, semantic versioning), reducing TTR by 40% and improving engineering velocity by 30%
    • Drove reliability + cost outcomes: 40% AWS spend reduction (~$40k/yr), stronger observability (Prometheus/Grafana), real-time ELT (Dagster/DLT/ClickHouse; minutes → ms), and zero-downtime Auth0 migration for 1,000+ users
  • Z

    ZabeSync

    Workflow Automation Engineer - Freelance

    • Designed and deployed ZabeSync: an end-to-end LinkedIn content automation pipeline (n8n on AWS EC2, Docker) with Discord as the human-in-the-loop control plane
    • Built AI-assisted daily ideation + research workflows with deduped content delivery via Discord and asset storage in Google Drive
    • Implemented draft → one-click publish by integrating LinkedIn API with Supabase-backed state (idempotency, workflow state, deduplication), unifying Discord/Drive/LinkedIn into one orchestration system
  • C

    Capgemini

    Analyst Trainee — Cloud & DevOps

    • Refactored monolithic CI/CD pipelines into modular stages, increasing success rates by 15%
    • Integrated Prometheus alerting with Slack, reducing incident response time by 20%
  • Q

    Qapita Fintech

    Software Engineer — DevSecOps

    • Embedded security gates in AWS CodeBuild, preventing 95% of critical CVEs
    • Migrated logging storage to AWS EFS, improving query performance by 30%
  • X

    Xebia

    Software Engineer Intern

    • Automated CI/CD workflows in Azure DevOps and improved front-end performance using ReactJS

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What People Say

YG

Sahil is a sharp, highly effective Automation Engineer whose work with n8n has been instrumental in streamlining our operations at Zabe. He possesses a deep understanding of complex workflow logic, API integrations, and data routing, transforming manual, time-consuming bottlenecks into reliable, automated pipelines. Beyond his technical command of n8n, Sahil approaches architecture with scalability and error-handling in mind—ensuring critical synchronization flows run smoothly under pressure. He is proactive, quick to troubleshoot edge cases, and consistently delivers solutions that save engineering hours and operational overhead. Sahil would be an outstanding asset to any team looking for a dependable engineer to build robust, scalable integrations and workflow infrastructure.

Yash GargFounder @ Zabe.in

MR

I worked with Sahil at Buyogo. He is an exceptional engineer who takes the lead of delivering features and owning them at an exceptional quality, along with his versatility of helping across the engineering org. He is well talented with Java, Terraform and AWS.

Manhal RahmanSDE II @ Amazon

TK

I've worked closely with Sahil and found him to be a reliable, impact-driven DevOps engineer. He took strong ownership of cloud and infrastructure challenges, improved system reliability, and drove meaningful automation and cost optimizations in AWS. Sahil's technical depth and proactive mindset made him someone I could trust with critical systems.

Taylan KutayFounder of relyd (Cloud ERP for SMEs)

AM

I worked with Sahil as a Devops Engineer and had a good experience collaborating with him. He handled day-to-day tasks well, supported deployments, and optimised the architecture to reduce cost without reducing the throughput and availability of the system. He was dependable, easy to work with and responsive whenever issues came up. His practical approach and willingness to help the team was top notch. His ownership over the infrastructure of the project helped keep things running smoothly. I'd recommend him as a reliable Devops Engineer and teammate.

Arshaque MohammedSenior Software Engineer at JPMorganChase

engineering philosophy

Defaults I reach for until the problem demands otherwise.

Stateless by Default

Push state to databases, caches, object stores. Compute is cheap; state is a liability.

Design for Failure

Retries, circuit breakers, graceful degradation. If it can't survive a node down at 3 AM, it's not prod-ready.

Observability > Monitoring

Monitoring says it's broken. Observability says why. Structured logs, traces, SLI-driven alerts.

IaC or It Didn't Happen

Not in version control? Doesn't exist. Terraform for infra, Actions for pipelines, PRs for changes.

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