Cloud
AWSAzure
Platform Engineer | AWS | Kubernetes
Shiv Shakti Das
Cloud platform engineer focused on release workflows and service reliability
Specialized in cloud-native engineering, Kubernetes operations, tooling, and release workflows for resilient microservices environments.
Expertise
AWSEKSTerraformGitLab CI/CDDatadog
Engineering Snapshot
Platform operations, release workflows, and observability
AWS
Kubernetes (EKS)
Terraform
Docker
Helm
Linux
GitLab CI/CD
Jenkins
Infrastructure as Code
Release orchestration
Bash
Git
Datadog
CloudWatch
Operational support
Incident triage
Observability
Service health
→Supported 100+ containerized service releases
→Managed microservices on Amazon EKS
→Maintained reusable Terraform modules
→Developed GitLab release workflows for containerized services
→Enabled observability and operational troubleshooting
About
DevOps engineering for cloud infrastructure, Kubernetes operations, deployment workflows, and observability.
About
Operational DevOps engineering for AWS microservices platforms, deployment workflows, and observability.
Shiv works on AWS and Kubernetes-based microservices platforms with EKS delivery, Helm releases, reusable Terraform modules, and GitLab CI/CD automation.
Recent work includes deployment automation, monitoring integrations, secrets management, and production incident support.
Key Focus
- Cloud platform environments and networking
- Kubernetes cluster operations
- Release workflows and pipelines
- Terraform infrastructure modules
- Service observability and alerts
- Release validation and operational support
Infrastructure
Design and operate scalable cloud environments with secure VPC, IAM, and network controls.
Kubernetes
Manage cluster deployments, release rollouts, and runtime reliability for microservices.
Terraform
Build reusable modules, environment standardization, and automated provisioning practices.
Observability
Implement Datadog and Splunk visibility for deployment metrics, logs, and incident response.
Technology Stack
Containers
DockerKubernetes (EKS)Helm
CI/CD
GitLab CI/CDJenkinsGitHub Actions
Infrastructure as Code
TerraformAnsible
Monitoring
DatadogSplunk
Messaging
KafkaIBM MQ
Databases
DynamoDBMongoDB
Scripting
BashPython
Experience
Operational roles in release workflows, platform delivery, tooling, and service observability.
Software Engineer (DevOps)
Perfaware
Mar 2025 - Present
- Built GitLab release workflows for build, test, and EKS delivery stages.
- Operated microservices with deployment validation and platform support.
- Maintained reusable Terraform modules for networking and database provisioning.
- Delivered Helm releases with KEDA autoscaling, Kafka integration, and Vault secrets.
- Configured Datadog and Splunk for logs, traces, and incident investigation.
- Led release validation, rollback planning, and operational troubleshooting.
Key contribution
Designed serverless middleware integrating Shopify events with IBM MQ using Lambda, S3, DynamoDB, and SQS.
Software Engineer Intern (DevOps)
Perfaware
Dec 2024 - Mar 2025
- Built Jenkins release pipelines for IBM Sterling workflows.
- Converted manual release tasks into repeatable automation stages.
- Supported platform teams with environment configuration and tooling.
AWS Developer Intern
Sepnoty Technologies
Feb 2024 - May 2024
- Provisioned cloud resources with EC2, S3, VPC, ALB, and CloudFront.
- Automated provisioning with Terraform and validated staging stack deployments.
- Integrated backend services with storage, networking, and security controls.
Projects
Real engineering work focused on release workflows, platform delivery, infrastructure modules, and observability.
GitLab CI/CD Deployment Pipelines
- Objective
- Standardize release workflows for microservices repositories.
- Platform
- GitLab CI/CD and Jenkins for containerized services
- Architecture
- Repository pipeline -> Docker image -> registry -> Helm release on EKS
Delivered repeatable pipeline templates for build, test, artifact promotion, and EKS release delivery.
GitLab CI/CDJenkinsDockerKubernetes
EKS Microservices Delivery
- Objective
- Enable resilient microservices delivery on Amazon EKS.
- Platform
- Amazon EKS with Helm-managed releases
- Architecture
- Service chart -> Kubernetes deployment/service/ingress -> KEDA scaled workloads
Implemented Helm charts for ingress, rollout controls, autoscaling, and service reliability.
EKSHelmKEDAKubernetes
Terraform Infrastructure Modules
- Objective
- Maintain reusable Terraform modules for cloud resources.
- Platform
- Terraform for resource provisioning
- Architecture
- Root module -> reusable modules -> environment-specific variables and outputs
Built reusable modules for networking, IAM, storage, queueing, and managed database resources.
TerraformAWSMongoDBS3DynamoDB
Serverless Middleware Integration Platform
Featured- Objective
- Bridge Shopify event flows to IBM MQ enterprise integration.
- Platform
- AWS Lambda, SQS, S3, DynamoDB, and IBM MQ
- Architecture
- Shopify event -> SQS -> Lambda processor -> DynamoDB/S3 -> IBM MQ
Delivered serverless middleware for reliable event delivery to enterprise queues.
LambdaSQSDynamoDBS3IBM MQ
Production Observability Platform
- Objective
- Centralize observability and alerting for distributed microservices environments.
- Platform
- Datadog and Splunk with Terraform-managed monitoring resources.
- Architecture
- Application logs/events -> collectors -> dashboards -> alert routing
Improved deployment visibility, alert consistency, and operational response across services.
DatadogSplunkTerraformKubernetesBash
Contact
Reach out for platform engineering, infrastructure automation, or Kubernetes delivery work.
Open to cloud platform, platform engineering, and operations engagements.
Key skills: Kubernetes · Amazon EKS · Terraform · Helm · GitLab CI/CD · Docker · Datadog · CloudWatch · Linux · Bash · AWS Lambda