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
