Description

You will engineer high-impact reliability improvements across Post Trade systems to ensure availability, consistency, and latency control in global environments.

Responsibilities

• Define, implement, and continuously refine Service Level Objectives and Service Level Indicators for settlement timeliness and operational risk.
• Design and embed advanced resilience patterns, including auto-scaling, circuit-breaking, and distributed failover, into application components.
• Eliminate operational toil by engineering automated, self-healing workflows for deployment, validation, and incident response.
• Lead complex root-cause investigations across hybrid architectures and translate findings into permanent code-based remediations.
• Champion modern SRE practices, including GitOps pipelines, full-stack telemetry, and reliability-driven development approaches.

Required Skills

• 10+ years of proven expertise in reliability engineering, automation, and cloud-native transformation within complex financial systems.
• Strong programming experience implementing production-grade reliability features using Java and Python.
• Hands-on experience with major cloud platforms: AWS, Azure, and GCP.
• Proficiency in implementing GitOps workflows for infrastructure and application management.
• Experience building and maintaining robust automation frameworks and provisioning workflows.
• Demonstrated ability to drive reliability improvements in complex, distributed systems.

Key Skills

Education

Any Graduate