Senior Infrastructure Engineer (AWS Infrastructure)

Key Responsibilities

• Design, implement, and manage our AWS infrastructure, with a strong emphasis on automation, resiliency, and cost-efficiency.
  
• Develop and oversee scalable data pipelines (for event processing, transformation, and delivery).
  
• Implement and manage stream processing frameworks (such as Kinesis, Kafka, or MSK).
  
• Handle orchestration and ETL workloads, employing services like AWS Glue, Athena, Databricket, Redshift, or Apache Airflow.
  
• Implement robust network, storage, and backup strategies for growing workloads.
  
• Monitor, debug, and resolve production issues related to data and infrastructure in real time.
  
• Implement IAM controls, logging, alerts, and Security Best Practices across all components.
  
• Provide deployment automation (Docker, Terraform, CloudFormation) and collaborate with application engineers to enable smooth delivery.
  
• Build SOP  for support and setup a functioning 24*7 support system (including hiring right engineers) to ensure system uptime and availability
  

Required Technical Skills

• 5+ years of experience with AWS services (VPC, EC2, S3, Security Groups, RDS, Kinesis, MSK, Redshift, Glue).
  
• Experience designing and managing large-scale data pipelines with high-throughput workloads.
  
• Ability to handle 5 billion events/day and 1M+ concurrent users workloads gracefully.
  
• Familiar with scripting (Python, Terraform) and automation practices (Infrastructure as Code).
  
• Familiar with network fundamentals, Linux, scaling strategies, and backup routines.
  
• Collaborative team player — able to work with engineers, data analysts, and stakeholders.
  

Preferred Tools & Technologies

• AWS: EC2, S3, VPC, Security Groups, RDS, Redshift, DocumentDB, MSK, Glue, Athena, CloudWatch
  
• Infrastructure as Code: Terraform, CloudFormation
  
• Scripted automation: Python, Bash
  
• Container orchestration: Docker, ECS or EKS
  
• Workflow orchestration: Apache Airflow, Dagster
  
• Streaming framework: Apache Kafka, Kinesis, Flink
  
• Other: Linux, Git, Security best practices (IAM, Security Groups, ACM)
  

Education

• Bachelor's/Master's degree in Computer Science, Data Science, or related field
  
• Relevant professional certifications in cloud platforms or data technologies

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