Total 2 production engineer job vacancies in Engineering category in Singapore

A global energy trading firm is transitioning to a data-centric platform and is seeking a Site Reliability Engineer to support this multi-year program. The role will focus on enhancing the reliability, scalability, and stability of the company's evolving platform. The successful candidate will work on integrating a new event-based, near real-time risk system and will play a crucial role in maintaining platform integrity as the system expands.

Responsibilities:

• Establish and track SLOs/SLIs, ensuring platform reliability, and lead remediation efforts when breaches occur.
• Automate production infrastructure tasks, deployment pipelines, and improve overall system stability with the Platform Engineering team.
• Maintain effective communication with users, providing updates on system performance and remediation plans.
• Address system bottlenecks and failure points proactively.
• Enhance platform observability, including tools for user interfaces, analytics, and reporting.
• Contribute to disaster recovery planning and infrastructure capacity growth.
• Lead Level 2 production support, ensuring timely resolution of critical incidents.
• Support the development of web applications, real-time data processors, and data integrations.
• Implement automated testing, continuous integration, and deployment to boost system efficiency and productivity.
• Collaborate with IT stakeholders to align with the company’s overall IT strategy.
• Document system configurations, processes, and troubleshooting guides to ensure knowledge continuity.

Requirements:

• Relevant experience in a Site Reliability Engineering role, ideally in commodity trading or related sectors.
• Expertise in maintaining microservices systems in a production environment.
• Strong proficiency with .NET, event-driven architecture, and data processing tools (Azure Event Hubs or Apache Kafka).
• Experience with RESTful APIs, gRPC, and GraphQL.
• Familiarity with relational and document-based databases.
• Knowledge of cloud PaaS/IaaS (Microsoft Azure preferred) and containerized microservice architectures (Docker, Kubernetes).
• Experience with Azure DevOps Pipelines is an advantage.

EA: 14S7084 | Registration No: R1981018

A global energy trading firm is transitioning to a data-centric platform and is seeking a Senior Site Reliability Engineer to support this multi-year program. The role will focus on enhancing the reliability, scalability, and stability of the company's evolving platform.

Key Responsibilities:

• Establish and track SLOs/SLIs, ensuring platform reliability, and lead remediation efforts when breaches occur.
• Automate production infrastructure tasks, deployment pipelines, and improve overall system stability with the Platform Engineering team.
• Maintain strong communication with users, providing updates on system performance and remediation plans.
• Address system bottlenecks and failure points before incidents occur.
• Enhance platform observability, including tools for user interfaces, analytics, and reporting.
• Contribute to disaster recovery planning and infrastructure capacity growth.
• Lead Level 2 production support, ensuring timely resolution of critical incidents.
• Support the development of web applications, real-time data processors, and data integrations.
• Implement automated testing, continuous integration, and deployment to boost system efficiency and productivity.
• Collaborate with IT stakeholders to align with the company’s overall IT strategy.
• Document system configurations, processes, and troubleshooting guides to ensure knowledge continuity.

Qualifications & Experience:

• 4 + years of experience in a Site Reliability Engineering role, ideally in trading or a related sector.
• Expertise in maintaining microservices systems in a production environment.
• Strong proficiency with .NET, event-driven architecture, and data processing tools (Azure Event Hubs or Apache Kafka).
• Experience with RESTful APIs, gRPC, and GraphQL.
• Familiarity with relational and document-based databases.
• Knowledge of cloud PaaS/IaaS (Microsoft Azure preferred) and containerized microservice architectures (Docker, Kubernetes).
• Experience with Azure DevOps Pipelines is an advantage.

EA: 14S7084 | Registration No:R1981018