Nandeesh B

Operations Associate

Bengaluru, Karnataka, India11 yrs 4 mos experience

Key Highlights

  • Over a decade of experience in DevOps and Cloud.
  • Expert in Kubernetes and multi-cloud environments.
  • Proven track record in cost optimization strategies.
Stackforce AI infers this person is a Cloud Infrastructure Engineer with extensive experience in DevOps and multi-cloud strategies.

Contact

Skills

Core Skills

KubernetesAzure DevopsTerraformAwsObservability

Other Skills

Azure DevOps Servicesredhatopenshift clusterK8sECSAWS CodeBuildAWS CodePipelineAmazon EKSDatadogGitHubpythonShell ScriptingAmazon Bedrockgithub actionsCost Optimization

About

πŸ”Ή Snr Manager – DevOps | 10+ Years of Experience I bring over a decade of experience in DevOps, Cloud, and Automation, working extensively with AWS, Azure, GCP, Kubernetes (EKS, AKS), Docker, and Terraform/Terragrunt. Skilled in designing and managing CI/CD pipelines (Jenkins, Groovy DSL), Infrastructure as Code, observability (EFK, Prometheus, Grafana, Datadog, NewRelic), and automation using Python and Shell scripting. Hands-on expertise spans Helm, Rancher, Vault, OPA admission controllers, ECS, AWS MSK Kafka, MongoDB/Atlas, DocumentDB, and KEDA for event-driven autoscaling. Strong background in infrastructure optimization, monitoring, and secure deployments across multi-cloud environments. I am passionate about continuous learning, exploring emerging technologies, and applying them to improve team efficiency, system reliability, and organizational success.

Experience

11 yrs 4 mos
Total Experience
1 yr 9 mos
Average Tenure
7 mos
Current Experience

Standard chartered

Snr Manager Development

Oct 2025 – Present Β· 7 mos Β· Bengaluru Β· Hybrid

Azure DevOps Servicesredhatopenshift clusterK8sKubernetesAzure DevOps

Josys

DevOps Tech Lead

Mar 2025 – Aug 2025 Β· 5 mos Β· Bengaluru, Karnataka, India Β· Hybrid

  • ☸️ Kubernetes & Container Management:
  • Administered and maintained Amazon EKS clusters, troubleshooting and resolving cluster-level issues.
  • Automated cluster operations with Terraform and custom scripting.
  • βš™οΈ Infrastructure as Code & Automation:
  • Managed multiple environments and automated resource provisioning using Terraform.
  • Provisioned and managed AWS services (ECS, EKS, VPC, IAM, S3, etc.) with Terraform modules.
  • Automated operational tasks with Python and Shell scripts tailored to project requirements.
  • πŸ€– AI & Modern Workloads:
  • Implemented Bedrock AI models for development use cases and integrated them into workflows.
  • πŸ“Š Observability & Monitoring:
  • Implemented DataDog for alerting , SLO, SLI and Error Budget setup on ECS and Kubernetes based service environment.
  • Deployed and managed EFK stack (Elasticsearch, Fluentd, Kibana) for centralized logging.
  • Managed Elasticsearch clusters for scalable log monitoring.
  • πŸ“Š CI/CD & DevOps Practices:
  • Built and deployed applications with AWS CodePipeline and CodeBuild targeting ECS clusters.
  • Integrated SonarQube for code quality checks and vulnerability scans.
  • Leveraged Trivy for Docker image scans to enhance container security.
  • πŸ’° Cost Optimization & Cloud Strategy:
  • Spearheaded AWS cloud cost optimization initiatives, leveraging data-driven strategies and best practices to reduce monthly spend using graviton based instances and AMD processor instead intel core processor with right sizing.
ECSTerraformAWS CodeBuildAWS CodePipelineAmazon EKSDatadog+6

Betterplace

Senior Devops Engineer 3

Jun 2023 – Feb 2025 Β· 1 yr 8 mos Β· Bengaluru, Karnataka, India Β· Hybrid

  • 🌩️ Cloud & Kubernetes:
  • Provisioned and managed EKS clusters on AWS with Terraform automation, including seamless cluster upgrades.
  • Worked on multi-cloud environments – AWS, Azure, and GCP.
  • Hands-on with Azure services: VNET, Resource Groups, Scale Sets, Gateway Subnet, AKS, Azure Devops.
  • Experience in Rancher user management and deployments.
  • πŸ“Š Observability & Monitoring:
  • Implemented Prometheus & Grafana from scratch in Kubernetes environments.
  • Deployed and managed EFK stack (Elasticsearch, Fluentd, Kibana) for centralized logging.
  • Managed Elasticsearch clusters for scalable log monitoring.
  • Monitored MSK Kafka with Alertmanager, and managed topics via CMAK & Kafdrop.
  • βš™οΈ Automation & Scaling:
  • Experience with KEDA (Kubernetes Event-Driven Autoscaling) using external event-based HPA with PostgreSQL and other metrics.
  • Automated infrastructure provisioning and upgrades using Terraform.
  • πŸ“¦ Data & Databases:
  • Migrated workloads from Azure to AWS using AMS, DMS, and DataSync with Site-to-Site VPN.
  • Hands-on experience with RDS, DynamoDB, Redshift Clusters, and MongoDB.
  • Working knowledge of SensuGo for monitoring and alerts.
  • πŸ” Networking & Security:
  • Setup and managed OpenVPN and WireGuard VPN for secure communication.
KubernetesMicrosoft AzureAmazon Web Services (AWS)Google Cloud Platform (GCP)EFKPrometheus.io+7

Here technologies

Senior Devops Engineer

Nov 2022 – Jun 2023 Β· 7 mos Β· Warsaw, Mazowieckie, Poland Β· On-site

  • πŸ“Š Observability & SRE Practices:
  • Developed Infrastructure as Code (IaC) scripts to automate creation of SLI (Service Level Indicators) and SLO (Service Level Objectives) dashboards.
  • Enabled self-service observability, allowing service and application teams to bring up their own SLI/SLO dashboards automatically without manual intervention.
  • Improved reliability, monitoring coverage, and developer autonomy through automation-first practices.
GitHubKubernetesAmazon Web Services (AWS)AWS

Miq

Lead DevOps Engineer

Nov 2018 – Sep 2022 Β· 3 yrs 10 mos Β· India Β· Hybrid

  • ☸️ Kubernetes & Container Orchestration
  • Provisioned and upgraded EKS clusters on AWS through Terraform.
  • Experience with Rancher for user management and importing EKS clusters for better accessibility.
  • Developed and deployed Helm charts for microservices/apps via Jenkins pipelines.
  • Worked on admission controllers with OPA agent and policies for governance.
  • Troubleshooting Kubernetes issues on daily basis, ensuring zero-downtime deployments and high application availability.
  • Hands-on with Istio service mesh and Fluentd logging for service-to-service observability.
  • πŸ“Š Observability & Monitoring
  • Deployed Prometheus & Grafana from scratch in Kubernetes environments.
  • Implemented log monitoring with LogDNA, Fluentd, and EFK stack.
  • Experience with CloudWatch for AWS services monitoring and alerting.
  • βš™οΈ Infrastructure as Code & Automation
  • Designed infrastructure automation using Terraform modules for scalable deployments.
  • Built CI/CD pipelines in Jenkins using DSL pipelines (JGitflow) and shared libraries (JSL).
  • Automated deployments and operational tasks with Python, Shell scripts, and AWS Lambda.
  • Worked on HashiCorp Vault for secrets management.
  • 🌩️ Cloud Platforms & Services
  • Hands-on with AWS Services: EC2, S3, VPC, IAM, Route53, SES, CloudWatch, Lambda, Security Groups, Network Firewall.
  • Database experience: RDS, MongoDB, MongoDB Atlas, DynamoDB, Redshift Clusters, ElastiCache.
  • Data migration and transfer using AWS DataSync (EFS & S3).
  • Created disaster recovery environments and performed DR drills across AWS regions.
  • Performed resource right-sizing using Compute Optimizer and Trusted Advisor for cost optimization.
  • πŸ” Security & Networking
  • Setup secure connectivity with OpenVPN and WireGuard VPN.
  • Implemented OPA admission controller policies for Kubernetes clusters.
  • Managed API traffic using Tyk API Gateway for secure and scalable integrations.
  • πŸ› οΈ DevOps Tools & Practices
  • Artifact management with Maven, Nexus, SonarQube.
  • Agile issue tracking and collaboration using JIRA.
KubernetesHashiCorp VaultPrometheus.ioJenkinsGroovyshared libraries+4

Envestnet | yodlee india

Senior Engineer

Oct 2016 – Nov 2018 Β· 2 yrs 1 mo Β· Bengaluru Area, India

  • βš™οΈ CI/CD & Automation
  • Designed and maintained CI/CD pipelines for production environments.
  • Automated build and deployment using Jenkins and Maven to reduce human error and accelerate release cycles.
  • Developed custom scripts in Bash & Python for production pipelines and day-to-day automation.
  • Automated EC2 instances, VPCs, and security groups using Ansible and Python (Boto3).
  • Hands-on with Ansible Tower and Ansible Pull for configuration management.
  • 🌩️ Cloud Infrastructure & Operations
  • Actively managed, improved, and monitored AWS infrastructure including EC2, S3, VPC, ELB, IAM, and bucket policies.
  • Implemented cloud automation using Python scripting and Boto SDK.
  • Pursuing AWS SysOps certification to further strengthen cloud expertise.
  • πŸ” Security & Compliance
  • Applied CIS benchmarks with Ansible for secure infrastructure provisioning.
  • Managed GitHub repositories and permissions with proper branching and tagging practices.
  • πŸ“Š Monitoring & Incident Management
  • Troubleshot and optimized application API latency using New Relic.
  • Monitored and resolved issues via Salesforce Ticketing Tool and ServiceNow.
  • Captured and analyzed network packet data with tcpdump for connection troubleshooting.
  • Handled incident management and application issue resolution in production.
  • πŸ› οΈ Application & Middleware
  • Worked on JBoss application server deployments and troubleshooting.
  • Packaged and deployed class files into JARs based on requests.
  • Automated file transfers across systems using SFTP & SCP.

Turning point software solutions pvt.ltd

Systems Engineer

Jul 2014 – Sep 2016 Β· 2 yrs 2 mos Β· Bangalore

  • πŸ–₯️ System & Process Management
  • Monitored and controlled system services, processes, and user activities using Linux tools.
  • Managed disks, volume groups (LVM), and storage allocation based on requirements.
  • Installed and updated software packages using YUM on Red Hat Enterprise Linux.
  • Captured and analyzed network packets with tcpdump to troubleshoot connection issues.
  • 🌐 Application & Infrastructure Monitoring
  • Monitored Java-based applications and handled alerts using Nagios.
  • Monitored system performance with tools like top, iostat, vmstat, free, and analyzed system logs.
  • Addressed application patch upgrades and kernel upgrades to ensure system stability.
  • Provided production support for DNS resolvers with UltraDNS and handled DNS/Web forwarding issues (ultracrs).
  • ☁️ Cloud Operations (AWS)
  • Managed EC2 instances and S3 buckets.
  • Modified security groups, IAM roles, and set up CloudWatch alarms for monitoring.
  • πŸ” File & Data Management
  • Installed and configured FTP servers, addressing related issues.
  • Performed secure file transfers (FTP, SCP) across systems.
  • πŸ“‘ Incident & Ticket Management
  • Monitored system and application alerts, addressing incidents proactively.
  • Resolved tickets within SLA timelines, ensuring smooth operations and business continuity.

Education

C M R Institute of Technology, BANGALORE

Master of Technology (M.Tech.) β€” Computer Science

Jan 2010 – Jan 2012

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