sreejith.botomatic.org
All systems operational

I keep mission-critical
systems running.

Sreejith Sreedharan Nair — Senior SRE & DevOps Architect with 10+ years architecting, deploying and supporting mission-critical infrastructure on Google Cloud. Expert in Kubernetes (GKE), GitOps, and large-scale infrastructure-as-code.

location Calgary, AB · Canada local --:--:-- MT status open to senior SRE / platform / architect roles
Experience
10+ yrs
3+ years in Canada
Availability
99.99%
uptime, 80+ microservices
Primary cloud
GCP
Expert · AWS · Azure
Deploy lead time
<10m
down from 40 min

// monitored services · all green

Capabilities

The systems I architect and operate day to day — proven at enterprise scale.

Cloud Platforms

expert

Architecting and operating mission-critical infrastructure on Google Cloud, with hands-on depth across AWS and Azure.

GCPAWSAzure

Containers & Orchestration

99.99%

Large-scale GKE clusters with HPA/VPA and Spot provisioning — zero-downtime rollouts across 80+ microservices.

KubernetesGKEDockerHelmKustomize

Infrastructure as Code

99.95%

Regional cloud infrastructure provisioned as reviewable, repeatable code — version-controlled by default.

TerraformAnsible

CI/CD & GitOps

99.97%

GitOps delivery with Bitbucket and ArgoCD that cut deployment lead time from 40 minutes to under 10.

ArgoCDGitHub ActionsGitLab CIJenkinsBitbucket

Monitoring & Observability

99.96%

SLIs, SLOs and error budgets backed by dashboards — cutting mean time to detection by 30%.

PrometheusGrafanaSplunkCloud Operations

Data & Messaging

99.90%

Event-driven pipelines for real-time ingestion into BigQuery, reducing data latency by 20%.

Pub/SubDataflowBigQueryMySQLPythonBash

// deployment log

Experience

A changelog of where I've shipped reliability — most recent at the top.

[ Aug 2022 — present ]

Infosys Canada — Calgary, AB

Senior Consultant / SRE Lead
  • Architected regional GCP infrastructure with Terraform, supporting 80+ microservices at 99.99% uptime.
  • Managed large-scale GKE clusters with HPA/VPA and Spot provisioning — a 25% reduction in compute overhead.
  • Pioneered the GitOps shift with Bitbucket and ArgoCD, cutting deployment lead time from 40 min to under 10.
  • Built event-driven pipelines on Pub/Sub and Dataflow into BigQuery, reducing data latency by 20%.
  • Led P1/P2 incident response; established SLIs/SLOs/error budgets and reduced MTTD by 30%.
[ Dec 2020 — Aug 2022 ]

Infosys India — Bengaluru

Consultant
  • Drove GCP cost optimization on a major retail inventory system, saving $15k+ monthly.
  • Automated data workflows with Jenkins, Pub/Sub, Dataflow and shell scripting — 35% better batch efficiency.
  • Provided 24/7 production support for mission-critical retail workloads through peak seasonal traffic.
[ Mar 2014 — Dec 2020 ]

Tata Consultancy Services — Kochi

IT Analyst
  • Automated full-stack AWS provisioning with Terraform — environment spin-up from 2 days to 1 hour.
  • Built AWS Lambda functions for cross-account data movement, handling 1TB+ monthly traffic.
  • Enforced CIS benchmarks across EC2 and VPC with IAM, WAF and SSL/TLS management.
  • Led migration of deployment pipelines from Travis CI to AWS CodePipeline with end-to-end IaC.
[ 2013 ]

Muthayammal Engineering College — Tamil Nadu

B.E. — Electronics & Communication

Bachelor of Engineering, graduated May 2013.


// operating principles

How I work

Two convictions that shape every system I build.

principle 01

The vibe coding advantage

I treat LLMs and AI tools as core to my workflow — prototyping infrastructure at high velocity, automating the heavy lifting of documentation, and debugging complex system issues in record time, without compromising architectural integrity.

principle 02

"If it isn't code, it doesn't exist"

A firm believer in immutable infrastructure and security-by-design. Every environment is version-controlled and observable — so the team can focus on building features instead of fixing the same issues twice.


// open a channel

Let's talk reliability.

Open to senior SRE, platform engineering, and cloud infrastructure architect roles. Happy to talk Kubernetes, GitOps, and reliability at scale.