Posted on: 19/08/2025
About The Role :
We're seeking an experienced Infrastructure Engineer to join our platform team, handling massive-scale data processing and analytics infrastructure that supports over 5B+ events and more 5M+ DAU .
Were looking for someone who can help us scale gracefully while optimizing for performance, cost, and resiliency.
Key Responsibilities :
- Implement and manage stream processing frameworks (Kafka).
- Handle orchestration and ETL workloads, employing services like AWS Glue, Athena, Redshift, or Apache Airflow.
- Develop P0 and P1 issues alert and resolution process/pipeline.
- 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) and collaborate with application engineers to enable smooth delivery.
Required Technical Skills :
- 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, backup routines and CDC pipeline.
- Collaborative team player able to work with engineers, data analysts, and stakeholders.
Preferred Tools & Technologies :
- Infrastructure as Code : Terraform.
- Scripted automation : Python, Bash.
- Container orchestration : Docker, ECS or EKS.
- Workflow orchestration : Apache Airflow.
- Streaming framework : Apache Kafka.
- Other : Linux, Git, Security best practices (IAM, Security Groups, ACM).
Education :
- Relevant professional certifications in cloud platforms or data technologies.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- A collaborative, supportive and inclusive team culture.
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Posted By
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1532076
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