Balasubramani K.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

SUMMARY Technology executive, cloud strategist and digital transformation with 18+ years of experience helping startups, SaaS companies, educational institutions, and enterprises modernize their technology platforms. Experienced in leading enterprise-scale design, implementation, migration and modernization initiatives across Cloud infrastructure, Kubernetes adoption, DevOps, DevSecOps, GitOps transformation, observability, security and disaster recovery. CAPABILITIES AWS Cloud - Cloud foundation landing zone, Organization, SSO, Federation, Networking, IAM, MFA Compute - Design VPC, with security components and subnets that segment for application workloads, platform and data traffic - Select compute based on workloads that aligned stable and burst with right sized Kubernetes - Designing and operate highly available Kubernetes clusters across multi-cloud, on-prem and hybrid environments with right-sizing, autoscaling, lifecycle management and cost optimization. - Provision production grade Cloud managed AWS EKS cluster - Define resource request and limits for predictable pod performance - Implement Karpenter for advanced autoscaling with On-Demand and Spot instances DevOps CI/CD - Building reusable, scalable CI/CD pipelines, enabling faster and safer deployments across multiple teams and environments. - Containerize each microservices application code and configure container registry - Create CI/CD workflows using Github Actions, Gitlab CI, AWS codebuild, Jenkins - Automate build, test and image push to AWS ECR / Github / GitLab / Azure container registry. - Implement GitOps using ArgoCD / Flux, Configure it for multi cluster and multi environments. - Create deployment manifests using Helm / Kustomize and maintain package repository. - Configure rollback readiness, Symantec version, tag, release process - Controlled deployment process, fast and repeatable as infrastructure grow DevSecOps - Embedding security early with SAST, DAST, SCA, container security, policy-as-code, secret management and automated quality gates without slowing delivery. - Basic Cloud security using managed tools IAM, KMS encryption, Role, IRSA, STS - Secret management using External secret, AWS secret manager, HashiCorp Vault Database - align database with application scaling, tune it for better query and improve IOPS - right sized database instance based on developer recommendation and historical data - review read and write patterns, Multi AZ for prod, replicas, backup and failover readiness - Select database RDS / Aurora / MySQL / PostgreSQL for application needs Storage - Integrate application with storage ( Block / File / Object ) to improve scalability, durability and cost efficiency for non-transactional data Cache - implement cache to reduce load on backend systems and improve response time. Search - Implement OpenSearch / ELK cluster for search and analytics - Optimize cluster sizing and shard, control ingestion and retention Event Driven - Align messaging durability and delivery and make platform resilient and scalable during spikes or downstream failures and ensure matched real business flow - Add deployment jobs for long running, short time and delayed tasks - Use messaging services RabbitMQ, Amazon SQS, Amazon SNS, Amazon EventBridge, Kafka Traffic Management - Configure ALB/NLB, Service Mesh, ingress, gateway and virtual services - CDN and edge security SSL/TLS, mTLS for secure service to service communication - External DNS for auto entry DNS record - Improve traffic distribution, reduce latency, consistent response time under higher load AutoScaling - Design and implement cloud-native platform with strong focus on predictable autoscaling - Karpenter for fast and efficient node provision and reduce compute over-provision - HPA for service level and VPA for CPU and Memory alignment - KEDA for event-driven and queue based scaling Observability & Reliability Implementing monitoring, alerting, logging, and telemetry to improve uptime, detect issues early and support executive-level reporting. - Infrastructure and application monitoring and logging using CloudWatch, Datadog, NewRelic, Prometheus, Grafana - Trace it using OpenTelemetry - Oncall setup and Alerting using PagerDuty - Dashboard setup for Scaling, Performance, Resource monitoring and Errors Testing and Performance Validation - Load and API testing - Performance testing and ongoing tuning - backup and recovery readiness, Resilience and FailOver testing - AutoScaling HPA / VPA behavior observation, scaling reviews and check cost and utilization Operations - Capacity planning for application workloads - backup and recovery, failover, maintenance planning Cloud Cost Optimization & Governance - Implementing budget controls, cost visibility, service-level audits and continuous optimization to keep cloud spend under control as platforms scale Thanks, Bala Cloud Transformation Leader | Head of DevOps | Kubernetes | Executive Advisor