Azure Administrator
Microsoft Azure
AWS, Docker, Kubernetes, CI/CD — built clean, monitored, and fully documented. You focus on the product. I handle the infrastructure that keeps it running.
Microsoft Azure
Infrastructure as Code
Amazon Web Services
Move fast without breaking prod. CI/CD, containers, and cloud infrastructure built for early-stage velocity.
Product teamsDevOps for SaaS CompaniesZero-downtime deploys, multi-tenant infrastructure, and cost-optimised AWS setups for growing SaaS products.
Agency opsDevOps for Digital AgenciesScalable hosting for multi-client workloads. Automated pipelines and repeatable infra so you focus on delivery.
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A DevOps engineer bridges software development and IT operations by automating infrastructure provisioning, building CI/CD pipelines, managing containerized workloads, and implementing observability — with the goal of faster, more reliable software delivery and less manual intervention. This differs from SRE, which applies software engineering principles specifically to operations and adds explicit reliability targets: SLOs, error budgets, and formal incident-response frameworks. A typical engagement moves through discovery, architecture, build, and handover in 3-5 days for a focused AWS setup, or 2-4 weeks for a full migration.
Freelance DevOps engagements typically cost between $50 to $150 per hour, or are structured as fixed-price projects ranging from $500 for a simple pipeline fix to $5,000 for a complete AWS environment build. Small fixes like debugging a failing GitHub Actions workflow or resolving SSL issues are completed within 24 to 48 hours. Medium-scale projects, such as dockerizing a multi-service stack, require 1 to 2 weeks. Full-scale deployments, such as a secure AWS VPC with EKS clusters via Terraform, take 3 to 6 weeks. Every project includes a 30-day post-launch support window.
A production-ready AWS setup includes a VPC with public and private subnets across multiple availability zones, EC2 Auto Scaling groups, an Application Load Balancer with SSL/TLS termination via ACM, RDS clusters, and secure S3 bucket policies — managed entirely through Infrastructure as Code with Terraform and Ansible rather than manual console clicks. Versioned configuration files make environments reproducible, auditable, and rebuildable from scratch in minutes, which eliminates configuration drift and integrates directly with CI/CD pipelines.
Engineering teams and founders on what actually changed — the AWS bills, the 3 AM alerts, the deploys that needed a babysitter.
“Our AWS bill had become a running joke — $18k a month and nobody could explain why. Sahil spent three weeks doing what our own team had been putting off for two years. He rightsized bloated EC2 instances, archived dead S3 data to Glacier, and killed load balancers attached to nothing. We went from $18k to just over $10k a month. The CFO stopped sending passive-aggressive Slack messages after that.”
“We were one failed hard drive away from losing everything. Bare-metal servers, no DR plan, one guy who 'knows how it all works' and is slowly burning out. Sahil planned a blue-green migration to AWS, moved us across service by service, and cut over on a Saturday with zero downtime. That was four months ago. We haven't had an outage since. The guy who 'knew everything' finally took a vacation.”
“Our deploys were 45-minute affairs that required one specific developer to babysit them. When that person was unavailable, we simply didn't deploy — for days. Sahil fixed the Nginx config, wired up a proper SSL pipeline, and automated the whole thing in a single day. We now ship in 8 minutes, any time, without anyone holding their breath.”
“Our Terraform was a graveyard of copy-pasted blocks — three different people had touched it, nobody owned it, and every apply felt like defusing a bomb. Sahil came in, rebuilt it into proper reusable modules, added S3 + DynamoDB state locking, and set up a PR review gate for infra changes. For the first time, our infrastructure changes go through the same quality bar as our code. It's a different team now.”
“We had a 4-year-old Node monolith on a single VPS. Every traffic spike was a near-death experience. We knew we had to containerise and move it, but it kept getting deprioritised because it felt too risky. Sahil scoped the whole thing, ran it in parallel, and cut over to ECS Fargate in 12 days. Our last Black Friday handled 10x normal traffic. Nobody got paged. I didn't even check Slack.”
“Every contractor we'd worked with before left a gap — something undocumented, some tribal knowledge that walked out the door with them. With Sahil, every runbook was written before the project closed. Every edge case was covered. He flagged blockers before I noticed them. Months later I'm still using his documentation. That's the real deliverable.”