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Tier-1 brand plus mid-level DevOps title and metro environment elevates candidate competition.
Requires trading domain exposure and low-latency/finance experience, limiting cross-industry transferability.
Multiple mandatory technical skills, 5+ years requirement, and domain-specific trading experience raise filtering strictness.
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Lead and manage end-to-end projects in e-Trading technology, focusing on infrastructure, deployment, and production release management.
Drive process improvements including project management, release management, automation, and integration validation across functional and regulatory areas.
Implement and advocate AI-assisted engineering practices to enhance code quality, delivery speed, and operational stability with enterprise tools.
5+ years of applied software engineering experience with formal training or certification.
Strong expertise in Unix/Linux commands and scripting languages such as Shell, Python, or Perl.
Experience implementing AI-assisted DevOps/SRE workflows and leading team adoption of AI development tools.
Practical knowledge of Agile methodologies and tools (CI/CD, GIT, Jenkins, Maven, Jira, etc.) relevant to low-latency trading platforms.
Experienced in high-performance real-time or e-Trading systems within Investment Banking or Front Office Trading environments.
Skilled in managing complex software delivery lifecycles with exposure to regulatory, production, and operational challenges.
Demonstrated ability to integrate AI/ML technologies responsibly within engineering workflows, ensuring secure and compliant adoption.