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Tier-1 brand, popular DevOps title, mid-level experience requirement, and metro location increase applicant competition.
Core cloud and DevOps skills are transferable, but finance/security/audit expectations raise domain specificity moderately.
Multiple mandatory cloud, Kubernetes, Terraform, and Python skills plus 5+ years make shortlisting highly strict.
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Build, manage, and monitor the quantitative technology infrastructure including AWS resources and CI/CD pipelines.
Develop automation tools for infrastructure management and support operational ETL and debugging in test environments.
Mentor junior engineers and ensure best practices in security, compliance, and cloud-native development, using AI-assisted infrastructure analysis.
5+ years of applied experience with formal training or certification in software engineering concepts.
Bachelor's degree in Computer Science, Engineering, Software Engineering, or a relevant field.
Expertise in AWS services administration (EC2, EKS, S3, Lambda, RDS/Aurora, etc.), Terraform, Kubernetes, Docker, Git, Linux administration, and relational databases like PostgreSQL.
Experience with Agile-Scrum workflows, Jira, Python software deployment, and enterprise-authorized AI capabilities in infrastructure engineering workflows.
Experienced infrastructure engineer comfortable with complex AWS environments and DevOps toolchains like Terraform and Kubernetes.
Ability to apply AI-assisted analysis for infrastructure design and validation while ensuring security, resiliency, and auditability.
Capable mentor with strong troubleshooting skills, effective communicator supporting cross-functional teams in Agile settings.