---
title: "Asif Draxi - Site Reliability Engineer in Bengaluru | Tal"
description: "Meet Asif Draxi, Site Reliability Engineer(SRE) at BlackLine based in Bengaluru. AI stack includes anthropic apis, claude code, and cursor."
image: "https://tal.club/meet/asif-draxi/share-image"
---

# Asif Draxi on Tal

## Headline

Site Reliability Engineer\(SRE\) at BlackLine

## About

Site Reliability Engineer with 6\+ years of experience 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 annualised cloud savings through data\-driven optimisation\. Pioneered AI\-driven operational models using MCP\-based agentic workflows, cutting MTTR by 20% and alert fatigue by 15%, bridging the gap between traditional SRE and intelligent automation\. Aspiring to architect the next generation of self\-healing, AI\-augmented infrastructure platforms that set the reliability and efficiency benchmark at a high\-growth, engineering\-first organisation\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

cursor

gemini

github copilot

langchain

## Work experience

Site Reliability Engineer at BlackLine, Jul 2024 \- Present · 2 yrs 4 mos, Bengaluru, ◦ Served as primary on\-call and incident commander on a bi\-weekly rotation for tier\-1 services; actively resolved major outages, conducted blameless RCAs, and led the strategic onboarding of a NOC team as an L1 first line of defense, training them on initial investigations to drastically reduce 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 baseline 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 or permission\-sensitive cases with context\-rich summaries, reducing MTTR by 20%\. ◦ Led foundational platform enablement for development teams by provisioning greenfield GCP projects end\-to\-end, including IAM guardrails, networking baselines, CI/CD onboarding, and Vertex AI setup, reducing team onboarding time by 25%\. ◦ Spearheaded a massive cloud cost\-optimization initiative, involving instance right\-sizing, storage tiering, and database upgrades, generating over $300,000 in annualized operational savings\. ◦ Managed Kubernetes workloads utilizing GitOps principles with ArgoCD and Helm, streamlining deployment processes, enabling automated drift detection, and reducing manual release intervention by 20%\. ◦ Established an agentic reliability engineering operating model by combining observability intelligence, incident context enrichment, automated remediation, and toil reduction workflows, reducing alert fatigue by 15% and improving on\-call efficiency\.

Assoc Site Reliability Engineer at Liferay, Dec 2022 \- Jun 2024 · 1 yr 7 mos, Bengaluru, India, ◦ 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 before 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\.

Senior Software Engineer at Capgemini, Jun 2020 \- Sep 2021 · 1 yr 4 mos, Mumbai, ◦ 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 Infrastructure as Code \(IaC\) adoption by developing version\-controlled ARM templates and Bash deployment scripts, standardizing cloud environments and drastically reducing manual provisioning errors\. ◦ Engineered Python and shell automation suites to govern cloud resource lifecycles, automating snapshot cleanup, instance tracking, and IAM access audits, effectively 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\.

Software Analyst at Capgemini, Jun 2019 \- May 2020 · 1 yr, Bengaluru, Karnataka, India

## Education

Bachelor of Engineering \- BE, Reva Institute of Technology & Management, Bangalore

Bachelor of Engineering, Reva Institute of Technology and Management

[View the original profile](https://tal.club/meet/asif-draxi)

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