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Metro-based senior devops fintech role with broad skills and moderate brand drives medium competition.
Core SRE and batch tooling skills transfer broadly, but financial domain knowledge increases sensitivity.
Explicit 7+ years, strong AWS, Airflow, NoSQL and observability requirements enforce high shortlisting strictness.
Own the reliability and operational architecture of Clearwater's risk and analytics applications, focusing on automation, tooling, and ensuring overnight/intraday pipeline correctness and timeliness.
Design and build diagnostic and observability tooling, automate recovery of analytics jobs, lead incident response and conduct blameless postmortems to eliminate recurring failures at the application level.
Collaborate closely with quant, risk, and market data teams in Mumbai, jointly driving fixes for service commitments, and help shape a global follow-the-sun on-call rotation covering multiple regions.
7+ years of software engineering experience with real service ownership, preferably on business-critical platforms.
Strong proficiency in Python and shell scripting; skilled in debugging application code to root cause level.
Hands-on experience with batch/scheduled workloads at scale and workflow orchestration tools (e.g., Airflow, Prefect, Step Functions).
Degree in Computer Science, Engineering, or related field (B.Tech, M.Tech, MCA, MSc).
Experienced in operating distributed systems and reliable automated recovery for compute-heavy batch analytics or risk applications.
Able to translate technical failures into client impact and lead incident management effectively in a client-facing environment.
Comfortable working alongside quantitative and risk teams with domain curiosity about financial models, valuations, and risk metrics.