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Tier-1 brand, mid-level SRE role, metro location, and generalist devops demand increase candidate competition.
Core SRE and cloud skills transfer across industries, though financial domain experience is a modest plus.
Mandatory 5+ years, required AWS/CI-CD/SRE experience and AI tooling mandates tighten candidate filtering.
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Lead design and development of software to automate operational work and improve production reliability and scalability.
Troubleshoot and manage priority incidents with a focus on permanent resolution and continuous improvement.
Drive adoption of AI-assisted engineering practices to enhance code quality, delivery speed, and operational efficiency within the team.
5+ years of applied experience with formal training or certification in software engineering concepts.
Exposure to CI/CD tools, application resiliency, security, microservice architecture, AWS, containers, and AI tools relevant to SRE workflows.
Proven troubleshooting and debugging skills with knowledge of infrastructure components like routers, load balancers, cloud products, container systems, compute, storage, and networks.
Experience leading use of AI-assisted software development tools with understanding of responsible AI use, data sensitivity, and security in engineering workflows.
Experienced in building and operating cloud-native solutions on AWS with microservices and container orchestration.
Comfortable leading teams and coaching on AI-assisted development best practices and secure, compliant tool adoption.
Skilled at end-to-end reliability engineering including incident management, automation to reduce manual tasks, and designing self-healing systems.