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rajesh.dhar
Lead Site Reliability Engineer · Thomson Reuters

Keeping production boring since 2009.

I design production-ready systems, build the monitoring that tells you what is actually happening, and run the CI/CD pipelines that ship it. 16 years across Thomson Reuters, Finastra, Manulife and OpenText, from 24/7 incident rotations to leading SRE transformations on cloud-native platforms. Today, AI agents like Claude, Codex, Gemini and Cursor sit in my daily loop for triage, infrastructure code and postmortems.

in production
16y 11m
Nov 2009 → now
services
6
employers
deploys
10
role changes
artifacts
6
certifications
agents
4
AI tools in the loop

Current role: Lead Site Reliability Engineer since 2021.

Career trace

GET /career · select a span for its attributes
trace_id rd-2009-11spans 15status OK
span
201020122014201620182020202220242026
dur
thomson-reutersfinastramanulifeopentextearly careereducation (hatched)

AI in the loop

kubectl get pods -n ai
agents.yaml4 agents · human-approved applies
claude-codeagent
vendor: Anthropic
  • Terraform and pipeline changes as reviewed PRs
  • Runbook and postmortem drafts from incident timelines
codexagent
vendor: OpenAI
  • Scripted toil: migrations, config sweeps, test scaffolds
  • Second-opinion review on risky diffs
geminianalyst
vendor: Google
  • Long-context reads over logs, traces and dashboards
  • Summaries of noisy alert history
cursoreditor
vendor: Anysphere
  • Day-to-day IaC, Helm and scripting
  • Fast navigation of unfamiliar repos during incidents
policyAgents propose; a human approves every plan and apply.No production credentials in agent sessions.Every AI-assisted change ships through the same CI checks as mine.

Event log

tail -f /var/log/career.log
39 events
nowagents in the loop: claude-code, codex, gemini, cursor; humans approve every plan and apply
nowmulti-cloud estate: aws, gcp, azure; provisioned with terraform + terragrunt
nowpipelines: jenkins, github-actions; observability: datadog; security compliance end to end
2021-10role=lead-sre started; scope="CI/CD, monitoring, security compliance"
2021-10design and deliver production-ready solutions to client needs, with AI-driven insights
2021-10integrating AI tooling into delivery pipelines where it earns its place
2021-10lead projects toward stable, reliable environments; own escalations from the service desk
2021-10global team: devops automation, knowledge sharing with dev teams, tight deadlines met
2021-10translate complex technical trade-offs for non-technical stakeholders
2021-04role=lead-reliability-admin; on-call=24/7/365; itil=true
2021-04aws: ec2 rds vpc iam route53 s3; incidents resolved against SLA with full ownership
2021-04diagnosed outages in high-throughput web applications and network services
2021-04technical liaison to product dev, customer service and sales for bug triage
2021-04maintained and scaled configuration management across the stack
2020-09role=expert-sre; design_authority="SRE patterns & practices"
2020-09led SRE process and technical management of cloud-native financial platforms
2020-09change management lead for the SRE transformation program
2020-09reviewed SLAs on live production deployments; ran weekly operating reviews
2020-09on-call toil capped at 25%; blameless postmortems for high-severity incidents
2020-09resiliency improvements shipped; design reviews to keep delivered code resilient
2019master of management science, management of technology: completed alongside full-time work
2019-04role=platform-engineer; platform=pivotal-cloud-foundry,azure(aks)
2019-04iac=terraform,chef; packaging=helm; secrets=hashicorp-vault
2019-04ci=jenkins,github-actions; quality=sonarqube; artifacts=artifactory
2019-04shipped in java, python, node.js and ruby with tdd and continuous integration
2019-04monitoring: new-relic grafana dynatrace ca-apm; dashboards for support teams
2019-01role=platform-reliability-engineer; apm instrumentation, health dashboards, monitoring roadmap
2018-01role=apm-specialist; built "single pane of glass" across monitoring tools
2018-01rolled out agent-based, agentless, synthetic and scripted monitoring
2018-01added machine-learning analysis to monitoring and diagnostics
2017certified: machine learning with python and r
2016-10role=principal-analyst; mentoring, brown-bags, white papers, tech talks
2016-10built and ran vmware lab environments across data centres
2016-10cross-team, cross-product escalations with leads and management
2012-10role=senior-analyst; enterprise incident ownership begins
2012-10primary contact for corporate customers through every incident to resolution
2010-06role=technical-support-associate; british telecom clients
2009-11role=it-infrastructure-consultant; onsite client engagement
2009-11downtime reduced 83% for onsite client; bottlenecks removed in real time

What I run

kubectl get pods -A
NAMESPACENAMESTATUSLAST SEEN AT
aiclaude / claude-codeRunningdaily
aiopenai-codexRunningdaily
aigeminiRunningdaily
aicursorRunningdaily
observabilitydatadogRunningthomson-reuters
observabilitynew-relicRunningmanulife
observabilitygrafanaRunningmanulife
observabilitydynatraceRunningmanulife
observabilityprometheusRunningcertified
observabilityca-apmRunningmanulife
cloudaws (ec2, rds, vpc, iam, route53, s3)Runningthomson-reuters
cloudgcpRunningthomson-reuters
cloudazureRunningthomson-reuters, manulife
cloudaks / kubernetesRunningmanulife
cloudpivotal-cloud-foundryRunningmanulife
iacterraform / terragruntRunningthomson-reuters
iacchefRunningmanulife
iachelmRunningmanulife
iachashicorp-vaultRunningmanulife
ci-cdci/cd pipelinesRunningthomson-reuters
ci-cdjenkinsRunningthomson-reuters, manulife
ci-cdgithub-actionsRunningthomson-reuters, manulife
ci-cdsonarqube / artifactoryRunningthomson-reuters, manulife
practiceslos & slasRunningthomson-reuters, finastra
practiceblameless postmortemsRunningthomson-reuters, finastra
practiceincident mgmt (itil)Runningthomson-reuters, opentext
artifact registrycertifications & degrees
  • sre/sla-and-sloVERIFIEDSite Reliability Engineering: Service-Level Agreements and Objectives
  • k8s/monitoring-with-prometheusVERIFIEDKubernetes: Monitoring with Prometheus
  • terraform/network-infrastructureVERIFIEDTerraform: Managing Network Infrastructure
  • ci/github-actionsVERIFIEDLearning GitHub Actions
  • ml/python-and-r:2017VERIFIEDMachine Learning with Python and R · Udemy
  • data/power-bi-with-excelVERIFIEDUsing Power BI with Excel
  • uwaterloo/mmsc-mot:2019DEGREEMaster of Management Science, Management of Technology · University of Waterloo
  • centennial/business-ops:2012DEGREECollege Diploma, Business Operations · Centennial College
  • iiit-kolkata/be-it:2009DEGREEBachelor of Engineering, Information Technology · IIIT Kolkata

Work with me

pipeline: engagement · 3 stages · run on demand
stage 1 · assess

Observability audit

Two weeks on your monitoring and alerting. You get a written map of blind spots and a ranked fix list.

coverage-scan2 wks
reportfixed price
stage 2 · build

Infrastructure project

Terraform modules, CI/CD pipelines, Kubernetes migration or alerting setup, scoped and priced up front.

terraform apply4–8 wks
handover + runbooksfixed scope
stage 3 · operate

Fractional SRE

A few hours a month on reliability: SLOs, PR reviews, incident support and postmortems.

monthly review15–20 h/mo
on-call escalationrolling

Logs & postmortems

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Page me

opens a ticket in my inbox, not a 3am alert

Tell me what is breaking, what is slow, or where AI agents could take toil off your team. I reply within a day.

open incident