DevOps / Cloud Platform Engineer with Kubernetes expertise

Aditya Illur

+1-857-***-**** *************@*****.*** linkedin.com/in/illur

SUMMARY

DevOps / Cloud Software Engineer with 3+ years building Kubernetes platforms and automation across AWS, Microsoft Azure, and GCP. Strengths in Terraform/IaC, CI/CD and release engineering, improving reliability, deployment speed and operational standardization. Experienced with observability, Ran L2 on-call achieving 99.7% availability with SLO-driven incident management and multi-cloud production platform development

(EKS/AKS/GKE), including Kubernetes operator-based automation and internal tooling. TECHNICAL SKILLS

Cloud/K8s: AWS/GCP/Azure, Kubernetes, Docker, Helm, ingress/cert mgmt, Cluster Autoscaler IaC/CI/CD: Terraform, Ansible, ArgoCD, GitLab CI, JUnit, JMeter, Sonar, Jenkins, Azure DevOps Observability & Databases: Prometheus, Grafana, Datadog, Splunk, CloudWatch, Fluentbit, Jaeger, PostgreSQL, MongoDB Networking & Tools: Istio/Envoy, Network Policies, TLS/mTLS, TCP/UDP, Kafka, CloudFront, DNS Languages & Security: Python, Go, ReactJS, Bash, Groovy, Java, Secrets Management, OAuth/OIDC, IAM, RBAC, SOC 2 PROFESSIONAL EXPERIENCE

MEDLINE INDUSTRIES LP Sep 2024 - Jan 2026

DevOps Software Engineer Northbrook, IL

● Designed namespace-based dev/prod isolation in a Premium Azure Container Registry with branch-driven image promotion, standardizing releases across environments without duplicating registries.

● Minimized release cycle from ~55 to 36 minutes by building GitLab CI pipelines with parallel matrix execution and reusable templates for container agent deployments across Azure subscriptions.

● Engineered Ansible roles with dynamic inventory from Terraform outputs to automate post-provisioning configuration, reducing per-node setup time from ~18 to 8 minutes and enabling zero-touch node scaling.

● Implemented GitVersion-based semantic versioning in GitLab CI/CD pipelines for Azure container deployments. Created dual-tagging strategy

(semantic version + commit SHA) with JSON-based version tracking for deployment traceability.

● Cut migration-readiness validation from 3 weeks to 6 hours by automating DNS + port reachability checks across 1,000+ endpoints using data-driven configs, Ansible Tower parallelization, and CyberArk-based credential retrieval for production runs. SWAY-AI Jul 2023 - Dec 2023

DevOps Software Engineer Burlington, MA

● Reduced ML deployment-related incidents by adding pre-prod validation gates (Cypress/Robot Framework) for Seldon core + Emissary ingress and data pipelines catching defects before production impact.

● Decreased infrastructure build times by 3x with parallel AWS CodeBuild orchestration for eliminating bottlenecks for data processing

(Spark/PySpark), model-inference (Seldon), and serverless workloads.

● Automated Lambda blue/green releases with provisioned concurrency, and rollback safeguards, reducing deployment time from 30+ minutes manual work to less than 10 minutes automated execution.

● Eliminated admin IAM access from CI/CD by replacing it with least-privilege policies (200+ scoped actions) across EKS, Lambda, CodeBuild, CloudFormation, and Route 53, moving from account-wide admin to resource-scoped permissions. SEARCE COSOURCING SERVICES PRIVATE LIMITED Jan 2021 – Jun 2022 Cloud Software Engineer

● Enabled 10x concurrent user scaling with multi-region GCP migration with Cloud Spanner GKE & Autopilot, executed via GitLab & Cloud Build.

● Lowered billing-incident MTTR by 25% by building a real-time FinOps dashboard (Looker + BigQuery) with proactive anomaly detection, converting reactive billing surprises into automated early warnings.

● Mentored 3 engineers to L2 promotion within 6 months through code reviews, root cause analysis training, and cost optimization workshops.

● Maintained 99.7% availability across AWS/GCP leading L2 on-call for 80+ P1/P2 incidents over 18 months; drove MTTR from ~45 min to <20 min through runbook standardization, debugging and blameless postmortems. PROJECTS

CVE intelligence platform Kubernetes, Go, Kafka, AWS EKS, Helm, Prometheus, Grafana

● Built a reproducible EKS platform with Terraform (networking + IAM + scaling + guardrails), enabling consistent, policy-aligned deployments for multiple Kubernetes workloads.

● Developed a Go/Kubebuilder Operator that automated CVE release monitoring and job orchestration via CRDs, improving operational reliability with HA leader election and automatic cleanup.

● Implemented end-to-end CVE ingestion pipeline processing 240K+ vulnerability records (Kafka to PostgreSQL) with hybrid retrieval (SQL + semantic search), adding Prometheus/Grafana visibility to support debugging and performance tracking. Scalable Web Application Java, Spring Boot, React.js

● Architected and developed a full-stack app with JWT-based authentication & MySQL, with RESTful APIs & pagination to support 10k+ user records with sub-200 ms median response time in local load tests. CERTIFICATIONS

Associate Cloud Engineer — GOOGLE Deploying/optimizing solutions using GCP/self-managed services DLI Certificate of Competency — NVIDIA Developed CUDA programs to leverage GPUs for accelerated computing EDUCATION

Master of Science in Information Systems, Northeastern University Sep 2022 - Aug 2024 Network & Data Structures, Advanced Cloud Computing, Web Development Boston, MA Bachelor of Engineering in Information Science, RV College of Engineering Aug 2017 - May 2021 Operating Systems, Data Structures Algorithms, UNIX, Parallel Programming, Database Design Bengaluru, India

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