---
title: "Mayank Chaturvedi - Site Reliability Engineer in Bengaluru | Tal"
description: "Meet Mayank Chaturvedi, Site Reliability Engineer @ Okta | Multi-cloud Kubernetes (EKS, GKE, kops) | K8s, Terraform, ArgoCD, Datadog | Building AI agents for SRE’s | Open to relocate based in Bengaluru. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/mayank-chaturvedi-1/share-image"
---

# Mayank Chaturvedi on Tal

## Headline

Site Reliability Engineer @ Okta \| Multi\-cloud Kubernetes \(EKS, GKE, kops\) \| K8s, Terraform, ArgoCD, Datadog \| Building AI agents for SRE’s \| Open to relocate

## About

I keep large Kubernetes fleets and Kafka platforms running where downtime is a security event, not just a revenue one\. I'm an SRE at Okta, running EKS, GKE and kops across AWS and GCP — \~2,500 pods, \~300 nodes, 3 regions, 10\+ production products\. I migrated 150\+ containerised workloads onto EKS with zero\-downtime cutovers, taking availability from 99\.9% to 99\.95%\. Most of my recent work is building AI into operations: ▪ Agentless AI incident triage — Designed the Kubernetes layer for an Amazon Bedrock/Claude on\-call agent \(MCP\) that reads 50\+ runbooks and correlates pod health, logs and events with Datadog and CloudTrail into one Slack root\-cause summary\. Resolution time down 25%, escalations down 20%\. Built it agentless: read\-only, auto\-rotating ServiceAccount credentials and cross\-account STS AssumeRole reach the whole kops fleet with zero VPC peering and nothing in\-cluster to deploy, patch or be paged for; RBAC ships via ArgoCD ApplicationSets\. ▪ SOC 2 evidence automation — Claude\-driven framework turning a Jira ticket and control number into an audit\-ready bundle: \~21 collectors across \~14 controls spanning AWS, GitHub, Jira, Datadog, PagerDuty and Kubernetes, YAML\-mapped and git\-tracked with UTC provenance\. Days of screenshotting, down to minutes\. ▪ Zero\-trust supply chain — Moved image and Helm OCI pulls off Artifactory/GCR to AWS ECR across 20 clusters; 16 OIDC\-federated IAM roles \(IRSA\) replaced static pull secrets, via tier\-gated ArgoCD promotion, zero downtime\. ▪ GitOps & IaC — ArgoCD \+ GitLab CI for 200\+ microservices: deployment failures down 40%, release velocity up 30%\. Terraform modules cut environment setup from 2 days to under 3 hours\. ▪ Observability & SLOs — Datadog, Prometheus, CloudWatch and GCP Monitoring consolidated into one pane; 200\+ alert rules tuned, false\-positive pages down 35%, MTTD improved 30%\. ▪ Kafka — A year at Confluent containerising brokers on Kubernetes with multi\-AZ DR \(RPO minutes to under 30s\) and JVM/kernel tuning for \+25% throughput\. Confluent Certified Administrator \+ Developer\. Best fit for regulated, high\-availability infrastructure — identity, payments, streaming data, banking — where reliability, auditability and least privilege all have to hold at once\. Open to Senior SRE / Platform Engineering roles in Singapore, Europe and India\. Happy to relocate\. mayankofficial2504@gmail\.com Kubernetes · AWS · GCP · Terraform · ArgoCD · GitOps · Kafka · Python · Datadog · Prometheus · SLO/SLI · IRSA/OIDC · Zero trust · SOC 2 · Amazon Bedrock · MCP · AIOps

## Location

Bengaluru

## AI stack

claude code

claude

cursor

gemini

github copilot

openai

## Work experience

Site Reliability Engineer at Leading Identity Provider MNC, Aug 2025 \- Present · 1 yr 2 mos, Bengaluru, • EKS Migration at Scale: Migrated 150\+ containerised workloads to AWS EKS across 3 regions \(2,500\+ pods, \~300 nodes\) with zero\-downtime cutovers, lifting availability from 99\.9% to 99\.95%\. • Agentless AI Incident Triage: Designed the Kubernetes access layer for an Amazon Bedrock/Claude on\-call agent \(MCP\) that reads 50\+ runbooks and correlates pod health, logs and events with Datadog and CloudTrail into a root\-cause summary — resolution time down 25%, escalations down 20%\. Built agentless: read\-only, auto\-rotating ServiceAccount credentials and cross\-account STS AssumeRole reach the kops fleet with zero VPC peering and nothing in\-cluster to patch or be paged for; RBAC ships via one reviewed ArgoCD definition\. • SOC 2 Evidence Automation: Turns a Jira ticket and control number into an audit\-ready evidence bundle — \~21 collectors across \~14 controls spanning AWS, GitHub, Jira, Datadog, PagerDuty and Kubernetes, YAML\-mapped and git\-tracked with UTC provenance\. Days of screenshotting down to minutes; audit findings down 30%\. • Zero\-Trust Image Supply Chain \(ECR \+ IRSA\): Moved image and Helm OCI pulls for 20 clusters across multiple AWS regions off Artifactory/GCR to AWS ECR; 16 OIDC\-federated IAM roles replaced static pull secrets with short\-lived STS tokens across 55\+ deployments, via tier\-gated ArgoCD promotion, zero downtime\. • GitOps CI/CD: ArgoCD \+ GitLab CI for 200\+ microservices; deployment failures down 40% and release velocity up 30% via automated rollbacks\. • Multi\-Flavour Kubernetes Ops: Operate EKS, GKE and kops clusters across AWS and GCP for 10\+ products; zero\-downtime version upgrades at full CIS\-benchmark compliance\. • Terraform IaC: Reusable modules for VPCs, IAM, EKS and GKE across 4\+ accounts; environment setup from 2 days to under 3 hours, config drift eliminated\. • Unified Observability & SLOs: Consolidated Datadog, Prometheus, CloudWatch and GCP Monitoring into one pane; 200\+ alert rules tuned, false\-positive pages down 35%, MTTD improved 30%\.

DevOps Consultant 2 at Confluent, Sep 2024 \- Aug 2025 · 1 yr, Bengaluru, \- Led large\-scale Kafka platform modernization by migrating critical components to Kubernetes, delivering automated scaling, high availability, and disaster recovery while reducing RPO to seconds\. \- Architected and optimized high\-throughput, low\-latency Kafka environments through deep systems tuning \(CPU, memory, kernel\), improving peak performance by 25%\. \- Drove platform automation using Python, Shell, Ansible, and Terraform, enabling repeatable migrations and cutting environment provisioning time by 50%\. \- Established end\-to\-end observability across Kubernetes and infrastructure layers using Prometheus, Grafana, and Splunk to improve reliability and operational insight\. \- Led complex incident response and root cause analysis across distributed systems, networking, and virtualization, consistently reducing MTTR in 24/7 production environments\. \- Partnered with engineering, SRE, and architecture teams to deliver scalable, resilient platforms aligned with SLAs and long\-term business goals\.

DevOps Consultant 2 at Cisco, Sep 2023 \- Aug 2024 · 1 yr, Hybrid, \- Network & Proxy Automation — Built Ansible playbooks and Terraform modules automating feature rollout to customer networking devices and managing DNS and L7 proxy configuration across global customer environments; cut deployment time 40% and eliminated manual configuration errors\. \- CI/CD Pipeline Engineering — Designed Jenkins pipelines with integrated test and validation gates for internal tooling adopted across Cisco's global engineering ecosystem; reduced rollback frequency 30% and P1/P2 incidents 20% over 18 months, instrumented end\-to\-end with Prometheus and CloudWatch\. \- Production Database Reliability — Owned MySQL and MongoDB across three production sites for CNAAP, tuning schema, indexing and query paths to hold performance through IPL\-season peak traffic; 40% faster data processing with no customer\-visible degradation\. \- AWS Platform Delivery — Deployed and operated the TOP/SLM service\-level dashboard on AWS via Infrastructure as Code and CI/CD, replacing manual release steps and giving customer\-facing teams live service health visibility\.

DevOps Consultant at Cisco, Aug 2022 \- Sep 2023 · 1 yr 2 mos, Bengaluru, \- Automated the report generation pipeline for a customer\-facing programme, removing a recurring manual step from the delivery team's weekly cycle\. \- Built the Automation Capture Portal, an internal tool tracking automation adoption across the department — used by leadership to identify where engineering toil was concentrated\.

Technical Undergraduate Intern at Cisco, Jan 2022 \- Aug 2022 · 8 mos, Bengaluru, \- Contributed to Config Search Engine, an NLP\-based tool mapping device configurations to their underlying features\.

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, LNCT Group of Colleges

High School, Physics,Chemistry,Mathematics, The Aditya Birla public school

[View the original profile](https://tal.club/meet/mayank-chaturvedi-1)

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