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Tier-1 brand, mid-level generalist title, metro location, and broad skillset create high applicant competition.
Core cloud/SRE skills are transferable, but finance compliance and AIOps requirements add moderate domain specificity.
Explicit 5+ years requirement, certifications, AWS/Kubernetes, Java and SRE mandates make shortlisting highly strict.
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Design, develop, and unit-test AI-assisted software solutions and platform operations ensuring reliability, scalability, and performance.
Implement AI-driven AIOps capabilities including intelligent alerting, noise reduction, auto-correlation, and build observability tools for AI platforms.
Drive AI-assisted SRE roadmap execution by mentoring engineers, managing dependencies, and partnering with global stakeholders to meet SLAs and compliance.
5+ years of software engineering experience with formal training or certification.
Proficiency in Java Core/EE with Spring Boot, Spring MVC, Spring Cloud and experience building microservices.
Strong hands-on AWS cloud skills including ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, EKS.
Experience with enterprise-authorized AI-assisted software development tools and knowledge of responsible AI use in workflows.
Experienced in Site Reliability Engineering, DevOps or Platform Engineering with focus on improving platform reliability and operations.
Comfortable working independently in Agile environments, managing complex deliveries and mentoring peers.
Skilled in observability tools (OpenTelemetry, Grafana, Prometheus, ELK) and CI/CD pipelines with strong scripting and testing framework knowledge.