Senior Lead Infrastructure Engineer, Market Data Services
On-siteSingapore, Singapore
Job Summary
Analyze complex data and systems to anticipate issues, evaluate upstream and downstream implications, and advise on mitigation actions while utilizing enterprise-authorized AI capabilities to accelerate analysis and validate operational data. Collaborate with stakeholders to architect and implement changes that resolve issues, modernize processes, and ensure cost-effective data solutions comply with compliance, risk, and security standards. Provide third-level support to the production management team and drive thought leadership by leading reuse-first adoption of AI-assisted practices across delivery and automation routines. Ensure all changes remain validated, traceable, auditable, and aligned with resiliency expectations.
Required Qualifications
- Formal training or certification on infrastructure engineering concepts
- 5+ years applied experience
- Bachelor's degree in Computer Science or equivalent
- Knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations
- Strong knowledge of network architecture and protocols, Market data streaming, and messaging products (e.g. market data industry vendors' products like Bloomberg Bpipe, LSEG Elektron, Solace, AMPS, Redline, etc)
- Formal training or certification on infrastructure engineering concepts
- Advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS
- Experience in using Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation)
- Adept in specific infrastructure technology and programming languages (e.g. Python, Java, C++, SQL scripting)
- Proficient with Monitoring tools (ITRS Geneos, Dynatrace, Datadog)
- Deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.