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Tier-1 employer, mid-level devops role with broad skills draws strong applicant competition.
DevOps and operational automation skills are transferable, though finance domain experience is beneficial.
Explicit 5+ years and mandatory Python, SQL, AWS, Kafka, and operational leadership increases filtering.
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Lead end-to-end production incident management including triage, impact analysis, mitigation, recovery, and stakeholder communications.
Drive problem management by conducting RCA sessions, defining corrective and preventive actions, prioritizing fixes, and ensuring measurable closure.
Develop and automate operational tooling using Python and SQL/PLSQL to reduce repetitive work and enhance operational stability, while leading adoption of AI-assisted engineering practices across the team.
5+ years of applied software engineering experience with formal training or certification.
Strong hands-on skills in Python and SQL/PLSQL with experience building automation and diagnostic tools.
Exposure to AWS cloud and Kafka technologies.
Experience leading the use of enterprise-approved AI-assisted software development tools and knowledge of secure coding, peer review, automated testing, and responsible AI use in engineering workflows.
Experienced in operational stability and incident/problem management in large-scale production environments.
Proficient in delivering secure, scalable automation tooling improving operational throughput using AI-assisted capabilities.
Strong background in agile development, continuous delivery, and applying cloud-native technologies within complex software engineering teams.