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chitender/README.md
~/career/ — chitender@platform-eng — zsh — 132×40                          ⎈ ● k8s-prod-2026

Chitender_Kumar_

Senior Cloud Architect · Platform & SRE Engineering #kubernetes #sre #ebpf #finops #ai-ops #observability #multi-tenancy #healthcare-infra


email    : chitenderkumar.16@gmail.com
phone    : +91 8130 089 176
linkedin : linkedin.com/in/chitenderkumar
location : Delhi, India · open to remote
cert     : CKA / CNCF
seeking  : Staff / Principal / SRE Manager

$ summary --short

Senior Cloud Architect and SRE leader with 10+ years delivering production-grade Kubernetes platforms on AWS EKS and Azure AKS (including Azure Government) at scale, in a HIPAA-regulated healthcare environment. Specializes in reliability engineering (SLO/SLI/error budgets), multi-tenant platform architecture, secure networking, and automation-first operations.

Track record of shipping internal platforms — an AI-assisted incident response system (Aria/InfraInsights), eBPF-based CNI migration (Cilium), a centralized LLM egress layer, PHI-safe multi-tenant telemetry architecture, and Karpenter-driven FinOps programs — that measurably reduce MTTR, alert noise, cost, and operational toil.

Metric Value Context
🕐 Years in production 10+ Platform & SRE
⚡ RCA surface time < 2 min Aria AI assistant
📉 Alert noise reduction −30% Over 18 months
🧠 Incident pairs trained 45K RAG corpus
🚀 Egress throughput gain +37% TCP passthrough vs HTTP mode (735 vs 534 RPS)
🌐 NAT IP whitelist entries eliminated per-env → 1 Centralized egress architecture

$ kubectl get experience -o wide

▸ Senior Cloud Architect @ Innovaccer · Jul 2024 — Present

Lead platform engineering & SRE for a multi-tenant healthcare data activation platform running thousands of Kubernetes workloads across EKS, AKS, and Azure Government.

Domain Project Impact
[networking] Centralized LLM egress layer (HAProxy) — Designed single-egress architecture in an Azure hub VNet: all customer VNets peered in, IPSec S2S VPN to an AWS-hosted LLM inference platform. Benchmarked TCP passthrough vs HTTP mode under load; pinned upstream IPs with round-robin; tuned LLM-appropriate timeouts (tunnel 3600s for streaming) Eliminated per-environment NAT Gateway IP whitelisting; +37% throughput (735 vs 534 RPS); zero-downtime cutover
[observability] Multi-tenant telemetry architecture — Shared OTEL Collector design with tenant.id propagation via W3C Baggage, cardinality-safe metric labeling, and shared ClickHouse tables with tenant-leading ORDER BY + row-level security policies Single collector fleet serving all tenants with hard tenant isolation and query locality
[security] PHI-safe tracing for GenAI workloads — Identified sensitive data flowing through LLM trace span attributes (prompts, tool I/O, agent outputs); drove forensic scoping via ClickHouse queries, designed collector-level redaction, attribute allowlisting, retention purge, and data-plane isolation for AI services Closed a compliance-critical telemetry exposure class; redaction now enforced at pipeline level, not app discretion
[networking] Cilium CNI migration on EKS/AKS — Led end-to-end migration from legacy CNI to Cilium (eBPF). Enforced L4/L7 policy, improved network observability, reduced connection-level latency Zero production outages during cutover
[interop] HL7 MLLP clinical connectivity — AKS ↔ hospital interface-engine (Epic) integration: internal NLB in IP-target mode for long-lived MLLP TCP sessions, AWS Site-to-Site VPNs with hardened tunnels (IKEv2, AES-256, SHA-256, DH14) against customer Palo Alto firewalls, Azure Network Watcher–driven connectivity forensics Production clinical data exchange with deterministic failover; runbook-codified diagnostics
[platform] Single-tenant network conversion — Collapsed a two-VNet multi-tenant control/data-plane topology into a single-VNet dedicated AKS deployment for a strategic enterprise healthcare customer Simplified routing/peering surface; faster deployment path for dedicated tenants
[security] Elastic (ECK) hardening — Root-cause'd silently-ignored Helm securityContext values; enforced non-root Elasticsearch (runAsNonRoot, seccomp RuntimeDefault, capabilities.drop: ALL) at the nodeSet level Cleared container-runs-as-root findings across the search tier without data-dir permission regressions
[governance] Container vulnerability SLA program — Authored remediation contract for customer-facing workloads: Critical 15d / High 30d / Medium 90d / Low 180d, wired into CI and registry scanning Contractual, auditable patching cadence for regulated customers
[gitops] Multi-cloud GitOps strategy — Per-cloud Helm chart separation with branch-isolation model for GCP/Azure/AWS deployment tracks Prevented cross-cloud config bleed; defensible promotion model
[finops] Karpenter program at scale — Spot/On-Demand mix, instance diversity, disruption windows. Right-sized node pools via load testing Cut compute cost while holding P99 within SLO during peak
[ai-ops] Aria — AI-assisted incident response — LLM-powered RCA assistant (Gemma 4 + Qdrant + Ollama on AKS), trained on ~45K historical incident Q&A pairs Surfaces root causes in < 2 min inside on-call workflows
[data] Lakehouse operations — Databricks Unity Catalog external location lifecycle, Delta Share provisioning, metastore governance for healthcare data workloads Self-service, permission-scoped data access without infra tickets
[governance] Multi-account lifecycle tooling — Python + Kubernetes API tooling for cross-account operations using AWS STS Reduced manual provisioning overhead; enforced security guardrails at scale

▸ Lead SRE → SRE Manager → Staff SRE @ Innovaccer · Feb 2021 — Sep 2024

Built and led the SRE function from IC to team lead. Owned availability, incident command, and measurable reliability improvements across critical services.

Domain Project Impact
[observability] InfraInsights platform — Full-stack observability + AI-RCA platform (Prometheus / Grafana / OTel / CloudWatch) with SLO dashboards, burn-rate alerts, and auto-linked playbooks Replaced fragmented monitoring with a single pane of glass
[controllers] KubeNightwatch operator — Production K8s controller enforcing time-window and change-freeze policies; Slack + Jira integration; deletes out-of-policy resources Eliminated an entire class of unauthorized change incidents
[data] Kafka & OpenSearch reliability — ISR instability, partition skew, GC-related consumer lag via tuning, scaling patterns, and codified runbooks Significant drop in repeat Kafka incident volume
[chaos] Chaos engineering practice — Spot interruption drills and failover chaos tests Exposed hidden single points of failure before they became incidents
[platform] Postmortem culture — Drove postmortems to time-bound, code-level fixes Reduced noisy pages > 30% over 18 months; materially improved MTTR

▸ Earlier Roles

Company Role Period
Atlan SDE II — Platform Engineering Feb 2020 — Jan 2021
Delhivery Senior DevOps Engineer Jun 2019 — Feb 2020
Innovaccer Infrastructure Engineer Aug 2017 — Jul 2019
Telenity Solution Architect / Engineer Operations Feb 2015 — Aug 2017

$ ls ./signature-projects/

🤖 Aria · AI INCIDENT ASSISTANT

LLM-powered RCA system (Gemma 4 + Qdrant + Ollama on AKS), trained on ~45K Q&A pairs from historical incidents.

Surfaces root-cause hypotheses in < 2 min, integrated into on-call tooling.

Gemma4 Qdrant Ollama AKS RAG

📊 InfraInsights · OBSERVABILITY PLATFORM

Prometheus / Grafana / OTel / CloudWatch unified observability with SLO dashboards, burn-rate alerts, and auto-linked runbooks.

Replaced fragmented monitoring across multi-tenant EKS/AKS.

Prometheus Grafana OTel CloudWatch SLO

🔒 KubeNightwatch · CHANGE-FREEZE OPERATOR

Kubernetes operator enforcing time-window and change-freeze policies; deletes out-of-policy resources; Slack/Jira integration.

Eliminated unauthorized change incidents entirely.

Go Kubernetes Operator Slack Jira

💰 Karpenter at Scale · FINOPS AUTOSCALING

Workload-aware Spot/On-Demand autoscaling with instance diversity, disruption windows, and forecast-based pre-warm for batch workloads.

Cut compute cost while sustaining P99 SLOs.

Karpenter Spot EKS AKS FinOps

🛡️ PHI-Safe Telemetry · COMPLIANCE ARCHITECTURE

Redaction-at-collector pipeline for GenAI trace data: attribute allowlisting, tenant-isolated ClickHouse storage (row policies + tenant-leading sort keys), retention purge strategy.

Made "no PHI in observability" an enforced platform invariant.

OTEL ClickHouse HIPAA Multi-tenancy

🌐 LLM Egress Hub · NETWORK ARCHITECTURE

Single HAProxy egress in a hub VNet, all env VNets peered in, IPSec S2S to AWS inference platform. TCP passthrough with pinned upstreams beat HTTP mode by 37% under load.

One IP to whitelist instead of one per environment.

HAProxy Azure VNet Peering IPSec Load Testing


$ env | grep STACK

KUBERNETES_CLOUD  = "EKS, AKS, GKE, Karpenter, Cilium (eBPF), Helm, Argo CD, Flux, Operators, KEDA, ECK"
CLOUD_PLATFORMS   = "AWS (EKS, STS, VPN, EC2, RDS, S3, MSK, IAM), Azure + Azure Government (AKS, VNet, Network Watcher, PostgreSQL Flexible Server), GCP"
OBSERVABILITY     = "Prometheus, Grafana, OpenTelemetry (Collector, W3C Baggage), ClickHouse, Alertmanager, CloudWatch, Jaeger, Loki"
NETWORKING        = "HAProxy, IPSec S2S VPN (IKEv2), VNet peering, NLB (IP-target), HL7 MLLP, NSG forensics, Cloudflare"
IAC_AUTOMATION    = "Terraform, Ansible, Python, Go, Bash, Jenkins, GitLab CI, GitHub Actions, GitOps"
DATA_MESSAGING    = "Kafka/MSK, OpenSearch / Elasticsearch, Redis, PostgreSQL, ClickHouse, Databricks (Unity Catalog, Delta Share), Qdrant"
AI_ML_OPS         = "LLM integration (Gemma 4, Ollama), RAG pipelines, LLM egress/inference networking, GenAI trace redaction, AI-assisted RCA"
RELIABILITY       = "SLO/SLI/Error Budgets, Incident Command, Chaos Engineering, DORA Metrics, Postmortems, Vulnerability SLA programs"
COMPLIANCE        = "HIPAA-regulated infra, PHI data-flow controls, tenant isolation, audit-ready remediation SLAs"

$ cat ./credentials.txt

✓  Certified Kubernetes Administrator (CKA) — CNCF
✓  B.Tech, Computer Science — LDIET, 2016

$ git log --oneline --graph (what I'm working on)

* feat(security):   PHI-safe OTEL pipeline — collector redaction + tenant-isolated ClickHouse
* feat(networking): centralized HAProxy LLM egress — TCP passthrough, IPSec to AWS inference
* feat(ai-ops):     Aria v2 — multi-cluster incident correlation
* feat(finops):     Karpenter forecast-based pre-warm for batch windows
* feat(ebpf):       Cilium Hubble flows → OTel pipeline
* chore(platform):  Multi-tenant control/data plane IaC standardization

K8S · EBPF · OTEL · CLICKHOUSE · HAPROXY · KARPENTER · KAFKA · TERRAFORM · GO · PYTHON · LLM-OPS

chitender@platform:~ $ exit 0   # thanks for reading — ck / 2026

LinkedIn Email CKA

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