Site Reliability Engineer

Design and implement automation frameworks to streamline operational tasks for data platforms

Collaborate with Data Platform Engineers, data product teams

Develop and maintain Infrastructure-as-Code (IaC) solutions

We are hiring a Site Reliability Engineer (SRE) to manage, support, and enhance enterprise data platforms. This role focuses on platform reliability, automation, and integration, ensuring scalability, stability, and compliance in a dynamic and fast-paced environment.

The Position

Design and implement automation frameworks to streamline operational tasks for data platforms (e.g., provisioning, configuration, monitoring, and incident remediation).

Collaborate with Data Platform Engineers, data product teams, and business stakeholders to ensure reliability and performance of data platforms.

Develop and maintain Infrastructure-as-Code (IaC) solutions for deploying and managing data platform components across environments.

Establish robust monitoring, alerting, and observability systems to proactively detect and resolve issues.

Drive incident management processes, including root cause analysis and post-mortem reviews, to improve platform stability.

Ensure compliance with IT security and regulatory standards in all automation and operational workflows.

Partner with vendors and internal teams to integrate automation tools with existing data platforms and organizational ecosystem.

Advocate for and implement best practices in CI/CD pipelines for data platform services.

Continuously identify opportunities for operational improvements and reliability enhancements through automation.

The Candidate

At least 5 years' experience of working as a site reliability or data engineer or a software engineer or a data engineer.

Strong practical expertise in leveraging Ansible and Python for automation across enterprise data platforms.

Hands-on experience and working knowledge of application implementation to implement new platforms.

Familiar with application integration using RDBMS.

Exposure and knowledge in the following technologies will be advantageous:

Snowflake, Oracle, MS SQL, Denodo

AWS services

Linux (or Unix-like OS)

Data platform experience (Informatica, Tableau, Power BI) will be advantageous but not mandatory; training will be provided.

Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.

Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.

Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.

Good at working with details and is meticulous for operations.

Preferred Qualifications

Bachelor's degree in computer science or a related field, or equivalent practical experience.

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

EA Reg No: R25145981, Low Ciao Ling

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