Job Snapshot


Location:
Employment Type:
Job ID:
JN -042025-47778
Category:

Job Summary

  • Design and implement infrastructure to automate log ingestion across varied internal and external sources
  • Develop and maintain custom applications/scripts (Python/Golang) to retrieve, process, and ingest logs
  • Ensure reliability, performance, and scalability of log ingestion pipelines across AWS

We are seeking a DevSecOps Engineer to join a high-impact Security and Automation team to build and scale systems that enable secure, automated log ingestion across the organization. You'll design and develop high-performance solutions to automate log collection, enhance monitoring, and streamline connectivity across AWS environments. This is a long-term, business-critical initiative with no defined end date.

This role sits within an Automation sub-team that collaborates closely with the broader Security and Platform Engineering teams. It’s ideal for someone with a strong software engineering background and a passion for infrastructure, cloud, and problem-solving in production environments.


Key Responsibilities:

  • Design and implement infrastructure to automate log ingestion across varied internal and external sources
  • Develop and maintain custom applications/scripts (Python/Golang) to retrieve, process, and ingest logs
  • Ensure reliability, performance, and scalability of log ingestion pipelines across AWS
  • Set up and manage infrastructure components (e.g., VMs, APIs) for ingestion based on different integration methods
  • Provision infrastructure using Terraform (IaC)
  • Monitor pipelines, detect missing/incomplete logs, and debug pipeline or source-related issues (on-call support included)
  • Collaborate with stakeholders to understand logging requirements, ingestion frequency, and system behavior
  • Document ingestion processes and maintain transparency across engineering and security teams
  • Support and enhance CI/CD workflows in alignment with DevOps best practices
  • Apply ETL and data modeling best practices to structure and manage ingested data


Qualifications & Experience:

  • Hands-on experience in AWS (setup, configuration, connectivity, and security)
  • Familiarity with CI/CD tools  and DevOps principles
  • Strong coding background in Python or Golang
  • Experience with Terraform and infrastructure-as-code concepts
  • Experience in ETL processes and data modelling
  • Solid understanding of system design and performance optimization
  • Excellent communicator, able to collaborate cross-functionally and document systems clearly
  • Comfortable troubleshooting distributed systems and providing on-call operational support
  • Nice to have: Security knowledge or prior experience working on security-oriented automation or infrastructure projects

We regret to inform that only shortlisted candidates will be notified.

 

Job Reference: Ivory lee / JN -042025-47778

EA Registration No.: R22110493, Ivory lee Hong

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544


 

Get personalised tech job recommendations based on your skills.