kamal sai profile photo 1 on Tal

kamal sai

DevOps Engineer at Siemens

Bengaluru

3+ years of work experience

Siemens
Jul 20233 yrs 3 mosPresent

India

๐Ÿ› ๏ธ ๐—–๐—น๐—ผ๐˜‚๐—ฑ & ๐—ข๐—ฟ๐—ฐ๐—ต๐—ฒ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป โ€ข Scaled continuous delivery for AWS EKS hosting 20+ microservices using Kubernetes & Helm. โ€ข Standardized GitOps workflows using Flux CD custom resources (GitRepository, Kustomization). โ€ข Managed traffic routing with Istio, memory-based HPA scaling, and pod anti-affinity. โšก ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป, ๐—œ๐—ฎ๐—– & ๐—–๐—œ/๐—–๐—— โ€ข ๐Ÿ’ฐ 58% Cost Savings: Built serverless Lambda schedulers saving 98 compute hrs/week. โ€ข ๐Ÿ› ๏ธ Re-architected cloud assets into modular Terraform modules to eliminate drift. โ€ข ๐Ÿ”„ 90% YAML Reduction: Migrated 11 manual setups into template-driven GitLab CI/CD. โ€ข๐Ÿ“ฆ Data Pipelines: Engineered serverless Python AWS Lambda solutions to ingest DocumentDB and MongoDB Atlas data, using Snowpark to process and load it into Snowflake. ๐Ÿ“Š ๐—ข๐—ฏ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜† & ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† โ€ข Operated OpenTelemetry, Loki, and Tempo tracing stacks to lower MTTR in Grafana. โ€ข Secured workload credentials using IRSA + External Secrets Operator (ESO). โ€ข Provisioned CloudWatch dashboards tracking 4xx/5xx error rates and system metrics.

kamalโ€™s AI Stack

claude code
claude code
github copilot
github copilot
openai
openai
ChatGPT
ChatGPT

Education

Vellore Institute of Technology

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

Vellore Institute of Technology

20194 yrs2023

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Headline

DevOps Engineer at Siemens

About

I am a ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ with ๐Ÿฏ+ ๐˜†๐—ฒ๐—ฎ๐—ฟ๐˜€ of experience building, scaling, and maintaining high-availability, multi-region cloud platforms on ๐—”๐—ช๐—ฆ for enterprise clients. I specialize in Infrastructure as Code (IaC) using ๐—ง๐—ฒ๐—ฟ๐—ฟ๐—ฎ๐—ณ๐—ผ๐—ฟ๐—บ, continuous deployment using ๐—™๐—น๐˜‚๐˜… ๐—–๐—— (๐—š๐—ถ๐˜๐—ข๐—ฝ๐˜€) and Azure DevOps, and full-stack observability via ๐—ข๐—ฝ๐—ฒ๐—ป๐—ง๐—ฒ๐—น๐—ฒ๐—บ๐—ฒ๐˜๐—ฟ๐˜†, Loki, Grafana, and Tempo. My work focuses on driving operational efficiency, scaling containerized microservices, and implementing DevSecOps best practices compliant with international standards. โšก Key Highlights: โ€ข ๐Ÿ’ฐ 58% Cost Reduction: Automated serverless AWS Lambda lifecycle schedules saving 98 compute hrs/week โ€ข ๐Ÿš€ 20+ Microservices: Scaled continuous delivery on AWS EKS using Helm, Flux CD, and Istio. โ€ข ๐Ÿ“Š Lower MTTR: Built unified OpenTelemetry, Loki, Tempo, and Grafana distributed tracing stacks. ๐ŸŒŽ Open to Remote Roles: DevOps | Platform Engineering | Cloud Infrastructure (APAC & EMEA ยฑ4 hrs IST). ๐Ÿ› ๏ธ Core Stack: AWS (EKS, ECS Fargate, EC2, Lambda, S3, VPC, Route 53), Azure | Docker, Kubernetes, Helm, Kustomize, Karpenter | Terraform, Ansible | Flux CD, Argo CD, Istio, External Secrets Operator (ESO) | Azure DevOps, GitLab CI/CD, GitHub, Git | OpenTelemetry, Prometheus, Grafana, Loki, Promtail / Alloy, Tempo, AWS X-Ray, CloudWatch | Redis, AWS ElastiCache, Amazon DocumentDB, MongoDB Atlas, Snowflake | Maven, npm, JFrog Artifactory, Sonatype Nexus, OpenAPI/Swagger | Python, Bash

Location

Bengaluru

AI stack

claude code

github copilot

openai

ChatGPT

Work experience

DevOps Engineer at Siemens, Jul 2023 - Present ยท 3 yrs 3 mos, India, ๐Ÿ› ๏ธ ๐—–๐—น๐—ผ๐˜‚๐—ฑ & ๐—ข๐—ฟ๐—ฐ๐—ต๐—ฒ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป โ€ข Scaled continuous delivery for AWS EKS hosting 20+ microservices using Kubernetes & Helm. โ€ข Standardized GitOps workflows using Flux CD custom resources (GitRepository, Kustomization). โ€ข Managed traffic routing with Istio, memory-based HPA scaling, and pod anti-affinity. โšก ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป, ๐—œ๐—ฎ๐—– & ๐—–๐—œ/๐—–๐—— โ€ข ๐Ÿ’ฐ 58% Cost Savings: Built serverless Lambda schedulers saving 98 compute hrs/week. โ€ข ๐Ÿ› ๏ธ Re-architected cloud assets into modular Terraform modules to eliminate drift. โ€ข ๐Ÿ”„ 90% YAML Reduction: Migrated 11 manual setups into template-driven GitLab CI/CD. โ€ข๐Ÿ“ฆ Data Pipelines: Engineered serverless Python AWS Lambda solutions to ingest DocumentDB and MongoDB Atlas data, using Snowpark to process and load it into Snowflake. ๐Ÿ“Š ๐—ข๐—ฏ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜† & ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† โ€ข Operated OpenTelemetry, Loki, and Tempo tracing stacks to lower MTTR in Grafana. โ€ข Secured workload credentials using IRSA + External Secrets Operator (ESO). โ€ข Provisioned CloudWatch dashboards tracking 4xx/5xx error rates and system metrics.

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Vellore Institute of Technology

kamal sai - DevOps Engineer in Bengaluru | Tal