Senior Platform Engineer

Svdigisol

Bengaluru

Hybrid

INR 1,200,000 - 1,800,000

Full time

11 days ago
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Job summary

Svdigisol is seeking a cloud-focused engineer in Bengaluru to design and migrate applications onto AWS, leveraging EC2/Lambda/S3 and AI services. You will implement infrastructure as code (Terraform/CloudFormation/AWS CDK), manage CI/CD pipelines, and ensure secure, scalable, and cost-efficient cloud deployments.

We value strong Python skills, hands-on container experience with Docker/Kubernetes, and expertise in IAM, monitoring, and security best practices.

Qualifications

  • Hands-on AWS architecture, migration and cloud infra experience.
  • Strong knowledge of EC2, Lambda, S3, EBS, VPC, Route53, RDS/Aurora, DynamoDB, Neptune.
  • Experience with AWS AI/ML services like Bedrock, SageMaker, Textract, Q.
  • Strong Python programming skills.
  • Experience with infrastructure as code (Terraform, CloudFormation, AWS CDK).
  • Hands-on with Docker, Kubernetes, Git/GitHub, GitHub Actions, TeamCity, CI/CD.
  • Knowledge of IAM, CloudWatch, Security Groups, Well-Architected Framework.
  • Experience enabling AI capabilities, APIs, MCP and related technologies.
  • Focus on security, scalability, performance, automation, and cost optimization.

Responsibilities

  • Hands-on experience in AWS architecture, migration, and cloud infrastructure.
  • Strong knowledge of EC2, Lambda, S3, EBS, VPC, Route53, RDS/Aurora, DynamoDB, Neptune.
  • Experience with AWS AI/ML services such as Bedrock, SageMaker, Textract, and Q.
  • Strong Python programming skills.
  • Experience with Terraform, CloudFormation, or AWS CDK.
  • Hands-on Docker, Kubernetes, Git/GitHub, GitHub Actions, TeamCity and CI/CD.
  • Knowledge of IAM, CloudWatch, Security Groups, AWS Well-Architected Framework.
  • Experience enabling/operationalizing AI capabilities, APIs, MCP, and related technologies.
  • Strong focus on security, scalability, performance, automation, and cost optimization.

Skills

Python
AWS architecture
Automation
Security & IAM
Performance

Tools

Terraform
CloudFormation
AWS CDK
Docker
Kubernetes
Git/GitHub
GitHub Actions
TeamCity
CI/CD
Terraform

Job description

Role & responsibilities
  • Hands-on experience in AWS architecture, application migration, and cloud infrastructure.
  • Strong knowledge of EC2, Lambda, S3, EBS, VPC, Route53, RDS/Aurora, DynamoDB, Neptune.
  • Experience with AWS AI/ML services Amazon Bedrock, SageMaker, Textract, Amazon Q.
  • Strong Python programming skills.
  • Experience with Terraform, CloudFormation, or AWS CDK.
  • Hands-on experience with Docker, Kubernetes, Git/GitHub, GitHub Actions, TeamCity, CI/CD.
  • Knowledge of IAM, CloudWatch, Security Groups, AWS Well-Architected Framework.
  • Experience enabling/operationalizing AI capabilities, APIs, MCP, and related technologies.
  • Strong focus on security, scalability, performance, automation, and cost optimization.
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