Site Reliability Engineer / DevOps

Sudheer Chandra I work on cloud infrastructure and software delivery at Spectrum.

I’ve built three AI agents myself for engineering workflows at Spectrum.

Production operations

Cloud · Delivery · Reliability

Static portfolio view

  1. Build

    Prepare software for reliable delivery.

  2. Verify

    Run automated quality and security checks.

  3. Release

    Ship with zero-downtime deployments.

  4. Observe

    Monitor production services and respond to issues.

Canary progressionIllustrative sequence
  1. 5%
  2. 25%
  3. 100%
Healthy

24

Cloud infrastructure for customer-facing services.

EKS clusters

30

Supporting the e-commerce platform.

services

~625M

About 625M frontend and API requests.

requests in a 30-day window

73%

After the migration; Feb–Apr 2026 comparison.

lower production EKS control-plane cost

Selected work

AI agents built for production.

Alert investigation

SRE agent

Investigates Datadog alerts, gathers diagnostic evidence and identifies likely root causes. Shares findings and recommended actions in the alert thread, keeping the investigation and follow-up together so engineers can close the loop.

DevOps support

Phoenix DevOps AI assistant

Helps engineers investigate pipeline failures, answer infrastructure questions and resolve common DevOps issues. Analyzes job logs, explains failures and suggests practical next steps.

Read case study

Context-aware code review

AI code reviewer agent

Reviews GitLab merge requests against architecture documents and project files, using Jira ticket context and Confluence design references. Incorporates previous review feedback into later reviews, helping keep changes moving before engineering leads and architects give final approval.

About

CI/CD and production infrastructure.

I’m a DevOps Engineer with 3+ years building and operating AWS infrastructure and CI/CD for Spectrum’s e-commerce platform. I provision cloud resources with Terraform, build Kubernetes environments and contribute reusable infrastructure modules for application teams. My work spans release engineering, observability and incident response, with a focus on safe production changes and reliable services.

Skills and tooling

CI/CD, Kubernetes, observability.

A conceptual map of documented delivery, infrastructure, and monitoring relationships.

Cloud delivery and operationsDelivery pipelines support production services. Terraform manages cloud infrastructure. Monitoring tools help observe production systems. deploys to provisions observes CI/CDCI/CD toolsAutomated delivery Infrastructure as codeTerraform managescloud infrastructure PlatformCloud infrastructureKubernetes Monitoring toolsMonitoring and logsProduction signals Cloud delivery and operationsDelivery pipelines support production services. Terraform manages cloud infrastructure. Monitoring tools help observe production systems. deploys provisions observes services CI/CDCI/CD toolsAutomated delivery Infrastructure as codeTerraformCloud resources Cloud platformKubernetes Monitoring toolsMonitoring and logsProduction signals
  • Delivery pipelines support production services.
  • Terraform manages cloud infrastructure.
  • Monitoring tools help observe production systems.
Full tool list

Go and Cloudflare are used for this portfolio. Other tools reflect my engineering work and the experience documented in my résumé.

Cloud and edge

Cloud platforms

  • AWS
  • EKS

AWS services

  • EC2
  • S3
  • ALB
  • ACM
  • CloudFront
  • Route 53
  • WAF
  • NAT Gateway
  • AWS Secrets Manager
  • AWS Cost Explorer

Content delivery

  • Akamai

Platform engineering

Infrastructure as code

  • Terraform

Containers and orchestration

  • Kubernetes
  • Docker
  • Helm
  • KEDA
  • Karpenter
  • Argo CD (working knowledge)

Software delivery

CI/CD and source control

  • GitLab CI/CD
  • Jenkins
  • CloudBees
  • GitHub Actions
  • Git
  • GitHub

Security testing

  • SonarQube
  • Veracode

Planning and documentation

  • Jira
  • Confluence

Production operations

Observability and logging

  • Datadog
  • AppDynamics
  • Splunk
  • CloudWatch
  • CloudTrail

Content platforms

  • Adobe Experience Manager (AEM)

Data and caching

Datastores

  • Redis
  • ElastiCache
  • Aurora PostgreSQL
  • RDS Proxy

Developer and AI tooling

Languages and systems

  • Python
  • Bash
  • Linux / Unix

AI engineering

  • Amazon Bedrock
  • MCP
  • Claude Code
  • Amazon Q
  • Cursor
  • Hypothesis

This portfolio project

  • Go
  • Cloudflare

Experience

Cloud platform and delivery operations.

May 2023 – Present

DevOps Engineer

Spectrum (Charter Communications)

Build and operate shared AWS infrastructure and delivery tooling for Spectrum’s e-commerce platform, supporting 24 EKS clusters and 30 services.

Work areas across this role

v01Documented

Platform migration and reliability

  • Led the e-commerce platform migration to new EKS clusters with zero customer downtime, coordinating cross-team testing and production cutover.
  • Retired 3 legacy clusters and the old build-runner fleet within 4 weeks of cutover.
  • Tuned workload resources, KEDA autoscaling and disruption budgets for 8 Kubernetes services, with zero-downtime rolling deployments across environments.
  • Ran a production Kubernetes upgrade with a 24-hour monitoring watch and a documented change record.
v02Documented

AI-assisted operations

  • Built engineering agents for alert investigation, pipeline troubleshooting and infrastructure questions.
  • Added architecture-aware merge-request review before final approval by engineering leads and architects.
  • Checked assistant changes with unit and property-based tests, and isolated investigation failures so they do not take the service down.
v03Documented

Cost and FinOps

  • Own cost reporting and planning for 2 AWS accounts. Built the 2027 budget and presented the forecast to leadership.
  • Identified a roughly 40% gap in the default billing view and corrected how costs were reported.
  • Measured a 73% reduction in production EKS control-plane cost (Feb–Apr 2026); development EKS and compute costs fell 52% and 38% respectively after migration.
v04Documented

CI/CD platform engineering

  • Standardized Akamai cache invalidation across 9 services with one reusable GitLab CI/CD component, retries and a dry-run mode.
  • Migrated build configuration for 9 Angular applications to fail-fast checks while keeping older release branches deployable.
  • Fixed a CI defect that reported failed Helm deployments as successful, so failed rollouts stop the pipeline.
  • Built delivery workflows for updating feature flags and application configuration without redeploying applications.
v05Documented

Infrastructure as code

  • Cut a Terraform apply from repeated 10-minute timeouts to about 2 minutes by correcting the order of resource updates.
  • Provisioned managed Redis and PostgreSQL infrastructure with Terraform; extended shared modules and added Redis replica autoscaling.
  • Redesigned a load-balancer change to preserve shared resources and avoid disrupting other services.
  • Created QA, UAT and performance environments to support feature validation and release testing.
v06Documented

Security, compliance and delivery

  • Integrated browser-based security testing, Veracode and SonarQube into application delivery.
  • Strengthened repository security and supplied evidence for PCI compliance reviews.
  • Led disaster recovery validation and coordinated production incident response with application teams during on-call shifts.
  • Authored release documentation and operational runbooks for repeatable deployments, investigations and handovers.

Education

Master's, Computer Information and Systems

New England College

May 2023

Bachelor's, Computer Science and Engineering

R.V.R. & J.C. College of Engineering

Jun 2020

Certifications

  • Certified Kubernetes Administrator (CKA) — The Linux Foundation
  • Terraform Associate — HashiCorp

Contact

Talk about production infrastructure.

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