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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.
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.