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Strong finance brand, popular SRE role, mid-level expectation and metro location increase competition.
Core SRE skills transfer across industries, though equity derivatives experience is a moderate preference.
Mandatory SRE stack (Python, Kubernetes, cloud, Kafka) creates strict technical filters.
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Build, maintain, and support internal platforms for Equity Derivatives trading and risk workflows.
Develop automated tooling for deployments, configuration, and failover to improve operational efficiency.
Provide Level 2 production support including troubleshooting, incident response, and performance tuning for critical systems.
Proficient in Python, Groovy, or C++.
Strong experience with Unix/Linux environments.
Experience with Docker, Kubernetes, and cloud platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in financial technology with exposure to Equity Derivatives pricing, risk, or volatility fitting applications.
Comfortable working closely with quantitative developers and production support teams, indicating a collaborative and cross-functional working style.
Capable of improving platform reliability and scalability through automation and AI-driven approaches.