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Tier-1 brand, metro location, and mid-level DevOps role increase applicant competition.
Core DevOps skills are transferable, but low-latency trading and regulatory needs increase domain specificity.
Explicit 5+ years, mandated DevOps/SRE tools, regulatory and domain expertise make filters strict.
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Lead projects independently focusing on stakeholder management and production release management including planning, deployment, and L3 support.
Drive process improvements, automation implementation, and adoption of AI-assisted engineering practices to enhance code quality, delivery speed, and operational stability.
Responsible for full software development lifecycle including design, testing, validation (integration, functional, regulatory), and compliance within low-latency e-trading platform environment.
5+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Proficiency in Unix/Linux commands and scripting languages like Shell, Python, or Perl.
Experience with AI-assisted DevOps/SRE practices and responsible AI adoption including secure and compliant use.
Practical knowledge of Agile methodologies, CI/CD, and tools such as GIT, Jenkins, Maven, Bitbucket, Jira, and Confluence.
Experience with low latency trading platforms and front-office trading applications in the investment banking domain.
Hands-on knowledge and leadership in deploying AI-assisted software development tools and coaching teams on secure, compliant AI use.
Technical background in Computer Science, Mathematics, Physics, or related fields with bonus skills in FIX protocol, financial messaging protocols, and development in C/C++/Java.