AWS Infra Engineer
Job Location:
Coimbatore - India
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
AWS Infra Engineer
JD-0055
Key Responsibilities
- Design implement and maintain AWS infrastructure including networking compute storage and IAM to support production and non-production environments.
- Build and manage infrastructure-as-code (IaC) using tools such as Terraform or AWS CloudFormation for repeatable and automated provisioning.
- Architect and optimize environments to support agentic AI workloads including model hosting data pipelines and integration with AI/ML services.
- Implement monitoring logging and alerting solutions (e.g. CloudWatch CloudTrail OpenSearch Prometheus/Grafana) to ensure reliability and observability.
- Ensure security best practices across the AWS stack including VPC design security groups encryption secrets management and compliance controls.
- Collaborate with application data and AI teams to design CI/CD pipelines and deployment strategies for cloud-native and containerized workloads (with strong focus on Amazon EKS/ECS).
- Perform performance tuning capacity planning and cost optimization using AWS-native tools and governance practices.
- Troubleshoot complex infrastructure issues perform root-cause analysis and contribute to documentation and knowledge sharing.
Required Skills
- Strong hands-on experience with AWS core services (EC2 S3 VPC IAM RDS/Aurora Lambda Load Balancers CloudWatch).
- Proven experience in infrastructure design implementation and operations for large-scale or business-critical systems.
- Practical expertise with Infrastructure-as-Code with Terraform as a mandatory skill (CloudFormation experience is an added advantage).
- Experience building and managing infrastructure to support AI/ML or agentic AI applications (e.g. integration with SageMaker Bedrock custom model serving or similar).
- Solid understanding of networking concepts (VPC subnets routing security groups VPN Direct Connect DNS Transit Gateway Inspection VPC).
- Strong background in Linux-based systems administration and shell scripting.
- Strong hands-on experience with containerization and orchestration specifically on Amazon ECS/EKS or Kubernetes including designing and operating containerized solutions in production.
- Knowledge of CI/CD tools and pipelines (e.g. GitLab CI GitHub Actions Jenkins AWS CodePipeline/CodeBuild).
- Good understanding of cloud security best practices identity and access management and compliance considerations.
- Strong troubleshooting skills and ability to work in a fast-paced collaborative environment.
Good to Have Skills
- Experience with AWS AI/ML services (SageMaker Bedrock Lex Kendra Comprehend) or other cloud AI platforms.
- Familiarity with agentic AI frameworks orchestration tools or LLM application frameworks.
- Experience with serverless architectures (Lambda API Gateway Step Functions).
- Knowledge of data engineering components on AWS (Glue Kinesis Redshift EMR Athena).
- Exposure to observability stacks and APM tools (Datadog New Relic Dynatrace or similar).
- Experience implementing cloud governance tagging strategies and FinOps practices.
- Knowledge of security frameworks and standards (CIS Benchmarks ISO 27001 SOC 2) and related tooling.
- Background in Python or other scripting languages for automation and tooling development.
Experience Required
- 6 to 8 years of relevant experience in AWS infrastructure engineering or cloud platform engineering roles.
Required Skills:
Strong hands-on experience with AWS core services (EC2 S3 VPC IAM RDS/Aurora Lambda Load Balancers CloudWatch). Proven experience in infrastructure design implementation and operations for large-scale or business-critical systems. Practical expertise with Infrastructure-as-Code with Terraform as a mandatory skill (CloudFormation experience is an added advantage). Experience building and managing infrastructure to support AI/ML or agentic AI applications (e.g. integration with SageMaker Bedrock custom model serving or similar). Solid understanding of networking concepts (VPC subnets routing security groups VPN Direct Connect DNS Transit Gateway Inspection VPC). Strong background in Linux-based systems administration and shell scripting. Strong hands-on experience with containerization and orchestration specifically on Amazon ECS/EKS or Kubernetes including designing and operating containerized solutions in production. Knowledge of CI/CD tools and pipelines (e.g. GitLab CI GitHub Actions Jenkins AWS CodePipeline/CodeBuild). Good understanding of cloud security best practices identity and access management and compliance considerations. Strong troubleshooting skills and ability to work in a fast-paced collaborative environment.
Key Skills
- Strong hands-on experience with AWS core services (EC2
- S3
- VPC
- IAM
- RDS/Aurora
- Lambda
- Load Balancers
- CloudWatch). Proven experience in infrastructure design
- implementation
- integration with SageMaker
- Bedrock
- custom model serving
- or similar). Solid understanding of networking concepts (VPC
- subnets
- routing
- security groups
- VPN
- Direct Connect
- DNS
- Transit Gateway
- hands-on experience with containerization and orchestration
- specifically on Amazon ECS/EKS or Kubernetes
- GitLab CI
- GitHub Actions
- Jenkins
- identity and access management
- collaborative environment.
About Company
Sense7ai is not just redefining talent acquisition and software innovation; we are also committed to leveraging our expertise to support urban and rural skill development, offering opportunities for underserved communities. By offering a synergy of AI-powered recruitment with custom ... View more
