Systems Nominal

LATENCY:42ms

UPTIME:99.99%

ASIF DRAXI

SiteReliabilityEngineer.

I build platforms that keep production calm at 2 AM, and AI agents handle the first response. 6+ years across SRE, cloud infrastructure, and agentic automation on GCP, AWS, and Azure.

Production work Open source GitHub LinkedIn Email

SRE

Reliability, SLOs, on-call, postmortems

AI Ops

MCP agents, AIOps, agentic automation

Cloud

GCP · AWS · Azure platform engineering

DevOps

CI/CD, GitOps, release engineering

Open Source

Ansible, Argo CD, Jenkins · upstream PRs

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SRE ◆

Kubernetes ◆

Terraform ◆

Ansible ◆

GitHub Actions ◆

New Relic ◆

GCP ◆

AWS ◆

Azure ◆

Observability ◆

Auto-remediation ◆

GitOps ◆

Python ◆

Open source ◆

SRE ◆

Kubernetes ◆

Terraform ◆

Ansible ◆

GitHub Actions ◆

New Relic ◆

GCP ◆

AWS ◆

Azure ◆

Observability ◆

Auto-remediation ◆

GitOps ◆

Python ◆

Open source ◆

01 · About

Reliability is a design discipline, not a hope.

Building MCP-based on-call agents that classify incidents, execute playbooks, and escalate only what needs human judgment. ~20% MTTR reduction, 15% less alert noise.

Site Reliability Engineer with 6+ years building and operating resilient, large-scale cloud platforms across GCP, AWS, and Azure. Deep practitioner of Kubernetes (GKE), GitOps (ArgoCD), and Infrastructure as Code (Terraform, Ansible), with a track record of sustaining 99.9%+ uptime SLAs and delivering $300K+ in annualized cloud savings. Pioneered AI-driven operational models using MCP-based agentic workflows, cutting MTTR by ~20% and alert fatigue by 15%. Active open source contributor to Ansible, Argo CD, and Jenkins.

The work I care most about lives at the boundary: where infrastructure becomes a product for engineers, where alerts become actions, and where upstream open source fixes make the next on-call shift quieter.

Years in SRE

99.9%

Uptime SLA

$300K+

Cloud savings

↓ 20%

MTTR via AI

asif@production:~

02 · Stack

What I work with.

Group 01

Cloud Platforms

GCPAWSAzure

Group 02

AI & Agentic Operations

MCPAIOpsAgentic AutomationVertex AILLM-Assisted Incident Response

Group 03

Containers & Orchestration

KubernetesGKEEKSDockerHelm

Group 04

IaC & GitOps

TerraformAnsibleArgoCDChef

Group 05

CI/CD & Automation

JenkinsGitHub ActionsAzure DevOpsGit

Group 06

Observability & Incident

PrometheusGrafanaDynatraceNew RelicPagerDuty

Group 07

Systems & Networking

LinuxNginxTCP/IPDNSLoad Balancing

Group 08

Programming & Scripting

PythonBashGolangJavaScriptAngular

03 · Experience

A timeline of the systems I've kept running.

BlackLine

Site Reliability Engineer

Jun 2024 - Present

Bengaluru, KA

›Served as primary on-call and incident commander on a bi-weekly rotation for tier-1 services; resolved major outages, conducted blameless RCAs, and led the strategic onboarding of a NOC team as an L1 first line of defense, drastically reducing engineering escalations.
›Built an AI-powered New Relic MCP server that audits alert coverage and dashboard gaps across microservices using Golden Signals (latency, traffic, errors, saturation), improving observability quality and reducing non-actionable alert noise by 15%.
›Designed and deployed an On-Call Agent integrating PagerDuty, New Relic, and automated runbooks to classify incidents, execute safe remediations, and escalate only complex cases with context-rich summaries, reducing MTTR by ~20%.
›Led foundational platform enablement by provisioning greenfield GCP projects end-to-end: IAM guardrails, networking baselines, CI/CD onboarding, and Vertex AI setup, reducing team onboarding time by 25%.
›Spearheaded a cloud cost-optimization initiative involving instance right-sizing, storage tiering, and database upgrades, generating over $300,000 in annualized operational savings.
›Managed Kubernetes workloads via GitOps with ArgoCD and Helm, enabling automated drift detection and reducing manual release intervention by 20%.
›Established an agentic reliability engineering operating model combining observability intelligence, incident context enrichment, and automated remediation, reducing alert fatigue by 15% and improving on-call efficiency.

GCPAWSKubernetesArgoCDTerraformAnsibleNew RelicPagerDutyVertex AIMCP

Liferay

Associate Site Reliability Engineer

Dec 2022 - Jun 2024

Bengaluru, KA

›Administered and scaled large-scale Google Kubernetes Engine (GKE) clusters, ensuring optimal resource allocation, security compliance, and fault tolerance for mission-critical portals.
›Conducted deep-dive troubleshooting into Linux OS internals, network stacks, and resource scheduling to optimize application performance and stability.
›Elevated system observability by instrumenting Prometheus, Grafana, and Dynatrace, establishing proactive thresholds and alerts that addressed performance degradation prior to customer impact.
›Restructured and maintained Jenkins CI/CD pipelines, proactively identifying build-stage bottlenecks and troubleshooting faulty deployment mechanics to stabilize daily release trains.
›Executed detailed GKE cluster performance analysis to identify compute inefficiencies; implemented node auto-provisioning and proactive node-scale-down strategies to achieve a sustainable 20% footprint cost reduction.
›Wrote custom Python and Bash automation scripts to replace tedious daily operational tasks, saving the infrastructure team 10+ hours per week.

GKEPrometheusGrafanaDynatraceJenkinsPythonBash

Capgemini

Senior Software Engineer

Jun 2019 - Aug 2021

Mumbai, MH

›Provisioned, secured, and scaled enterprise-grade AWS and Azure cloud infrastructures leveraging VPCs, EC2/VMs, and auto-scaling groups for global client deployments.
›Troubleshot and resolved complex network and routing issues, including Load Balancer algorithms, DNS resolution, and TCP/IP bottlenecks, ensuring uncompromised connectivity and low latency.
›Drove foundational IaC adoption by developing version-controlled ARM templates and Bash deployment scripts, standardizing cloud environments and reducing manual provisioning errors.
›Engineered Python and shell automation suites to govern cloud resource lifecycles, automating snapshot cleanup, instance tracking, and IAM access audits, reducing weekly operational toil across engineering teams.
›Delivered CI/CD pipelines via Azure DevOps for multi-environment deployments, enforcing gated release stages and automated rollback triggers to reduce failed deployments.

AWSAzureARM TemplatesAzure DevOpsAngularJavaScript

04 · Selected work

Things I've shipped.

Featured

Hackathon 2nd Place

Engineering Intelligence Platform

MTTR down 20%

Hackathon 2nd Place. Built a unified internal platform that centralizes multi-team documentation, service dependency mapping, and live service health into a single pane of glass. Reduced cross-team troubleshooting time by 35% and improved incident handoff quality.

AIPythonObservabilityInternal Tooling

Featured

AI · MCP

MCP On-Call Automation Suite

AlertNew Relic

MCPAgent

RunbookClassify

ResolvePagerDuty

Engineered MCP-based operational tools (TypeScript + Python) for alert analysis, contextual troubleshooting, and runbook-driven remediation. Integrates New Relic and PagerDuty to accelerate incident handling and improve escalation precision, reducing MTTR by ~20%.

MCPTypeScriptPythonNew RelicPagerDuty

Automated Storage Compliance Controller

Python-based automation tool that proactively audits AWS S3 buckets across the organization. Enforces encryption standards, configures intelligent lifecycle policies for cost optimization, and ensures strict IAM access controls for data security.

PythonAWS S3AutomationSecurity

GitOps Fleet Manager

ARGO

K8S

Centralized GitOps deployment workflow using ArgoCD and custom Helm charts to synchronize microservices across multiple Kubernetes clusters, providing automated drift detection and rapid rollback capabilities.

ArgoCDHelmKubernetesGitOps

Auto-healing remediation loop

ANS

Production system at BlackLine: New Relic alerts trigger PagerDuty events, which fire GitHub Actions workflows running Ansible playbooks against known failure states. Cuts MTTR on common incidents to near-zero.

New RelicPagerDutyGitHub ActionsAnsible

NiFi multi-region orchestration

Ansible

Region A

Region B

Migrated Apache NiFi clusters from Chef-based config to Ansible roles, then orchestrated zero-downtime multi-region deployments with consistent configuration drift detection.

AnsibleApache NiFiGCPMigration

Enterprise K8s Automation Lab

K8s Pods

Ansible Nodes

Terraform VPC

Cloud-hybrid testing environment defined entirely in IaC. Terraform bootstraps the VPC and instances; Ansible configures a working Kubernetes cluster for microservice experimentation.

TerraformAnsibleKubernetesGitOps

Serverless cloud alerting engine

🔔

Python + AWS Lambda alert engine. Pulls log errors from S3/CloudWatch, categorizes by severity, dispatches via webhook. Reduced false-positive alert bloat.

PythonAWS LambdaObservability

05 · Open source