
Bikash Behera
@bikashbehera1
Lead DevOps & Platform Engineer at NTT DATA who saved $280K annually and deployed an LLM-powered infrastructure assistant.
What I'm looking for
At NTT DATA Global Delivery Services, I own platform strategy for a 50+ microservice GitOps environment serving British Telecom, Hilton Hotels, and Deutsche Bank. I delivered zero-downtime releases and helped move deployments from daily to hourly while keeping change failure rates under 5%.
I also established a multi-cloud FinOps practice that realized $280K in annual savings across 200+ clusters, and deployed an LLM-powered platform assistant that cut Tier-1 ticket triage time by 40%. At System Plus Transformation LLP, I modernized CI/CD for TUI Group and helped maintain 99.99% uptime for its platform.
Experience
Work history, roles, and key accomplishments
Lead DevOps & Platform Engineer
Jan 2023 - Aug 2026 (3 years 7 months)
Owned end-to-end platform strategy for a 50+ microservice GitOps environment, delivering zero-downtime releases and achieving Elite DORA performance. Directed capacity planning and reliability engineering across EKS and GKE fleets, and founded a multi-cloud FinOps practice delivering $280K in annual savings.
Senior DevOps / Cloud Engineer
System Plus Transformation LLP
Mar 2022 - Jan 2023 (10 months)
Directed CI/CD modernization for a global travel platform, migrating to Terraform and hardening GitLab pipelines, cutting deployment errors by 35% and provisioning time by 55%. Held reliability at 99.99% uptime and re-architected a serverless data pipeline, saving $45K/year.
Built master-slave Jenkins pipelines and standardized Maven builds, cutting build failures by 75%. Automated deployments with Ansible and introduced SonarQube static analysis, reducing production defects by 35%.
Education
Degrees, certifications, and relevant coursework
Biju Patnaik University of Technology
B.Tech, Computer Science
Completed a Bachelor of Technology in Computer Science from Biju Patnaik University of Technology in 2014.
Tech stack
Software and tools used professionally
Amazon Redshift
AWS Glue
Amazon EC2
Amazon CloudWatch
Amazon S3
GitHub
GitLab
Bitbucket
SonarQube
Kubernetes
Helm
Kubecost
Amazon EKS
Jenkins
GitHub Actions
GitLab CI
Bamboo
MongoDB
Node.js
Slack
Google Anthos
Terraform
Pulumi
JavaScript
Python
Java
PowerShell
Amazon SQS
PagerDuty
Grafana
Prometheus
Datadog
Ansible
AWS Lambda
Shell
Amazon RDS
TypeScript
sso
Git
Docker
Amazon VPC
JBoss
LangChain
Weaviate
Pinecone
ArgoCD
Dynatrace
Bash
Karpenter
pgvector
Faiss
LangGraph
AWS
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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