status: healthy · open to cloud ops, observability & SRE roles

Signal over noise. On call since 2018.

Cloud operations and observability engineer in Pune with 6+ years across Azure and on-prem. I build automation that replaces manual ops work: pipelines that fix recurring alerts on their own, Python synthetic tests, and AI agents that debug failing monitors before I open my laptop. Everything I ship is observable, supportable and production-ready.

6+ yrs in opsAzure AZ-104DatadogAzure PipelinesAI agents
get in touch ↓ LinkedIn ↗
VIVEK PARMAR
Cloud ops & observability · Pune

Hi, I'm Vivek. I make alerts worth waking up for.

p95 latency · live● nominal
6+ yrs on callDatadogAzure certifiedAI agents
psst, tap to flip ↻ID · OBS-2018
ALL-ACCESS ON-CALL PASS

Clearance levels

DatadogROOT
Azure Monitor & PipelinesADMIN
Synthetics & PythonADMIN
Zabbix · on-premOPS
AI agents · RAGBUILDER
ISSUED 07·2018VALID WHILE PAGER IS CHARGED
flip back ↻WOLTERS KLUWER
scroll on · the pager stays on ↓
about

About me

I came to engineering through operations, not the other way round.

Six years of SLAs, health checks, access requests and 3 a.m. alerts taught me what ops teams actually need: fewer surprises and less manual work. Now I build the monitoring, automation and AI tools that give them exactly that.

My MBA keeps me thinking about the business behind every threshold. An alert matters because a customer, a release or an audit depends on it.

6+ yrs in operations3 global enterprisesAZ-104 certifiedPune India

What I love

  • Automating the repetitive work nobody should do by hand
  • Building AI agents that do the first round of debugging
  • Turning a noisy alert stream into clear signal

Where I'm strongest

  • Datadog monitors, dashboards and synthetic tests
  • Azure operations, tagging and governance
  • Python automation and REST API integrations

How I help an ops team

  • Fewer, better alerts and calmer on-call
  • Faster resolution with AI-assisted triage
  • Releases and migrations checked before and after
  • Audit-ready runbooks, SOPs and NIST evidence
about_me.pyvibe-coded
# how I build
class Vivek:
    role     = "Cloud Ops & Observability Engineer"
    style    = "vibe coder"   # I describe it, AI writes it, I verify it
    copilots = ["Claude", "GitHub Copilot", "OpenAI Codex", "Antigravity"]
    learning = "Python basics @ Savitribai Phule Pune University"  # ongoing

    def build(self, idea):
        draft = ai.write(idea)
        return ship(test(draft))   # nothing ships unverified
career

Career uptime

Continuous since July 2018. No unplanned outages.

Process ExecutiveJul 2018 – Oct 2020
Senior Process ExecutiveOct 2020 – Sep 2023
IT Operations AnalystSep 2023 – now
work

Things I've shipped

Selected work. Some of it even has a runbook.

Wolters Kluwer · featured caseAI · OBSERVABILITY

An AI agent that triages failing monitors before I open my laptop.

SMART Monitoring runs our synthetic checks. When one fails, the agent picks it up on its own, reads the error logs, pulls the test's source from Bitbucket and returns troubleshooting steps with a confidence score. Mean time to resolution came down measurably.

01 · detectFailing synthetic test
02 · readError logs & run output
03 · inspectTest code in Bitbucket
04 · reasonLLM root-cause analysis
05 · hand offFix steps + confidence
confidencehigh · ready for on-call
PythonAI AgentsBitbucket APIDatadogSMART Monitoring
experience

Experience, as a log

Newest first. Expand a line for the full trace.

2023-09 → now

IT Operations Analyst

Wolters Kluwer · Pune
LIVE

Automation & CI/CD

  • Proposed and built Azure Pipelines that auto-remediate recurring alerts (high CPU, memory pressure, service failures), replacing manual runbook steps with a version-controlled process.
  • Built a Python synthetic test framework using XPath to simulate login/logout journeys; maintain the SMART Monitoring test repos in Bitbucket.
  • Built a unified operations dashboard on PAT-token authenticated REST APIs, pulling every automation tool into one view.
  • Act as the operational quality gate in releases: validate app health before and after each deployment and flag anomalies early.

AI-driven operations

  • Built an AI diagnostic agent for SMART Monitoring that finds failing tests, reads error logs and Bitbucket code, and returns fix steps with a confidence score.
  • Built an AI governance check that cross-references Azure resource tags with asset records to validate tagging standards and service ownership at scale.

Cloud monitoring & observability

  • Design and maintain Datadog monitors across apps, infrastructure and Azure services, with thresholds aligned to business SLAs.
  • Integrated Datadog alerts with ServiceNow, Microsoft Teams webhooks and email so events land straight in incident workflows.
  • Deployed multi-region HTTP and browser synthetics with a central dashboard for peak periods like tax season.
  • Led alert-noise reduction with Python log analysis, retuning monitors to improve signal-to-noise for on-call.

Operations, compliance & collaboration

  • Supported cutovers and hypercare windows, validating service health during planned outages and after migrations.
  • Gathered audit evidence for NIST compliance audits.
  • On-call rotation; wrote SOPs and refined alert runbooks for repeatable troubleshooting.
  • Partner with engineering, cloud ops and support teams to keep monitoring in step with product needs.
2020-10 → 2023-09

Senior Process Executive

Tata Consultancy Services · Pune · client Gjensidige Forsikring, Norway
INFO
  • Ran 24×7 monitoring of infrastructure and applications across Azure and on-prem.
  • Installed Datadog and Zabbix agents on Windows and Linux; built dashboards and monitors.
  • Ran daily health checks in Azure Monitor and documented monitoring processes within incident and change management.
  • Integrated alerts with email and Teams and coordinated cross-team resolution.
2018-07 → 2020-10

Process Executive

Cognizant Technology Solutions · Pune · client Topdanmark Forsikring, Denmark
INFO
  • Administered client application support, new-joiner access provisioning and daily operational monitoring.
  • Ran GDPR root cause analyses and drove corrective actions to prevent recurrence.
  • Designed internal reporting tools to streamline operational updates.
  • Processed personal injury claims end to end, meeting SLA and quality targets.
stack

Stack

Only tools I actually use.

Cloud · Azure

Azure (AZ-104), Virtual Machines, VNets & NSGs, Storage, RBAC & Entra ID, Key Vault, Log Analytics, Tagging & governance

Observability

Datadog, Azure Monitor, Zabbix, AppDynamics, Grafana, New Relic, OpsRamp, PRTG

CI/CD & DevOps

Azure Pipelines (YAML), GitHub Actions, Git / Bitbucket, Pull-request workflow, Multi-stage pipelines, Release validation, Docker

Infrastructure as Code

Terraform, Providers & resources, Variables & state, Plan / apply workflow

Automation

Python, REST APIs, PAT-token auth, Node.js, XPath synthetic testing

AI & agents

AI agents, RAG pipelines, LangChain / LangGraph, Claude, GitHub Copilot, OpenAI Codex, Antigravity, Datadog Bits AI

ITSM & operations

ServiceNow, JIRA, Incident & change mgmt, SLA / SLO monitoring, Runbooks, On-call, Cutover & hypercare

Compliance

NIST audit evidence, GDPR root cause analysis, Cloud tagging standards

credentials

Certs & school

Azure Administrator AssociateMicrosoft · 0EE2EC-CEFBA3
Azure FundamentalsMicrosoft · I306-5846
Azure AI FundamentalsMicrosoft
Data Analytics & Business Intelligence (foundation)SPPU · 2026
Python programming (basic course)SPPU · ongoing
Danish, A2Cognizant
MBA, MarketingSPPU · 2018
B.ComSPPU · 2016
open for chats

Let's talk.

Hiring for observability, SRE or AI-for-ops? Bring the noisy dashboard. I'll bring opinions and a Python script.

EMAIL
wewake.parmar@gmail.com
PHONE
+91 77981 40888
LINKEDIN
vivek-p-81283498
open ↗