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Tier-1 brand, metro location, mid-level generalist DevOps role increases competition.
DevOps skills are transferable, but banking SRE and enterprise AI governance increase sector specificity.
Multiple mandatory technologies, explicit 5+ years, and cloud/SRE experience make shortlisting highly strict.
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Provide technical guidance and direction to business, technical teams, contractors, and vendors to support delivery of secure, scalable technology products in Asset and Wealth Management.
Develop, review, and debug high-quality, secure production code; drive adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes across the SDLC toolchain.
Lead decisions influencing product design, application functionality, and technical operations; serve as subject matter expert and advocate for firmwide engineering frameworks, tools, and practices.
5+ years of applied software engineering experience with formal training or certification.
Proven Azure cloud expertise supporting mission-critical production environments.
Hands-on experience with Python, Java, Shell scripting, Git, CI/CD, Infrastructure as Code (Terraform), Jenkins, RESTful API design, event-driven/serverless architectures, Docker, Kubernetes (GKE), Helm, and cloud monitoring tools (Azure Monitor, Datadog, Prometheus, Splunk, Elasticsearch, Grafana).
Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows and AI-assisted software development tools with strong validation and governance habits.
Experienced technical leader who can guide teams and vendors in complex cloud-native environments within financial services technology.
Strong expertise in Azure DevOps with practical skills in implementing AI-assisted engineering and SRE practices to enhance operational resilience and security.
Proficient in integrating AI responsibly into engineering workflows, establishing validation standards and guardrails aligned with security and resiliency expectations.