Associate Director - Cloud Engineering, AWS

December 4

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S&P Global

Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence

Description

• Administer AWS infrastructure including compute, network and storage resources. • Provision compute instances in AWS and manage resource utilization. • Engineer storage solutions, content replication, meet performance requirements. • Engineer network solutions in AWS and establish connectivity to data centers. • Develop Linux & Ansible scripts to deploy systems configurations on the Cloud. • Deploy security patches and upgrades on RedHat Linux Operating Systems. • Configure core services like DNS, LDAP, syslog, mail etc. • Deploy RDS/Aurora database instances and coordinate with DBA teams. • Deploy managed services in AWS for Kinesis, ElasticSearch, API Gateway etc. • Deploy Machine Learning solutions using AWS SageMaker. • Orchestrate container deployment using ECS, EKS. • Deploy systems monitoring and reporting solutions. • Recommend hardware and right sizing infrastructure. • Coordinate implementation of Firewall rules and routing changes. • Investigate latency issues, network packet drops, system performance issues. • Address security vulnerabilities in infrastructure. • Participate in Risk Assessment reviews, audits. • Implement highly available & fault-tolerant solutions to withstand system failures. • Maintain network diagrams, systems installation configuration & guides, support procedures and runbook. • Manage and execute disaster recovery plans, coordinate change control process, obtain approvals. • Respond to critical production issues and provide immediate workarounds to maintain business continuity.

Requirements

• Experience working with cloud computing platforms (AWS, Azure, Google) • Experience in System Administration on RedHat Linux or Unix. • Experience in setting up virtual machines & provisioning storage. • Experience in building network solutions. • Experience working in data centers or deployment of large-scale IT infrastructure. • Experience in system monitoring using Nagios, Splunk, Datadog or other products. • Hands-on experience in troubleshooting production issues and meeting critical SLAs. • Excellent communication skills are essential, with strong verbal and writing proficiencies. • 12 years of relevant work experience desired. • 4 years in AWS Cloud environment.

Benefits

• Health care coverage designed for the mind and body. • Generous time off helps keep you energized for your time on. • Access a wealth of resources to grow your career and learn valuable new skills. • Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. • From retail discounts to referral incentive awards—small perks can make a big difference.

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