Join our dynamic team to innovate and refine technology operations, impacting the core of our business services.

As a Technology Support Lead in AI/ML & Data platform team, you will play a leadership role in ensuring the operational stability, availability, and performance of our production services. Critical thinking while overseeing day-to-day maintenance of the firm’s systems will be key and set you up for success as you navigate tasks related to identifying, troubleshooting, and resolving issues to ensure a seamless user experience.

Job responsibilities

Lead teams of technologists that provide end-to-end application or infrastructure service delivery for the successful business operations of the firmExecute policies and procedures that ensure operational stability and availabilityMonitor production environments for anomalies, address issues, and drive evolution of utilization of standard observability toolsEscalate and communicate issues and solutions to the business and technology stakeholders, actively participating from incident resolution to service restorationLead incident, problem, and change management in support of full stack technology systems, applications, or infrastructure

Required qualifications, capabilities, and skills

Formal training or certification on Technology support concepts and 5+ years applied experienceExperience in supporting applications distributed across multiple servers or hosted on cloud platforms, particularly Amazon Web Services (AWS), including managing, troubleshooting, and optimizing for high availability and performance.Proficiency in using Unix commands and writing shell scripts to automate tasks, manage system operations, and enhance productivity, including creating scripts for routine maintenance, monitoring, and deployment.Expertise in crafting complex SQL queries and a deep understanding of Oracle Database concepts such as indexing and execution plans, crucial for optimizing database performance and efficient data retrieval.Hands-on experience in developing automation utilities using shell scripting, Python, or other programming tools to streamline processes, reduce manual intervention, and improve operational efficiency.Familiarity with scheduling tools like Autosys and Control-M for automating job scheduling and workflow management, ensuring tasks are executed timely and orderly to minimize downtime and maximize resource utilization

 

Preferred qualifications, capabilities, and skills

AWS Certified in Cloud Practitioner.Experience with monitoring and visualization tools such as Geneos, Grafana, Datadog, Splunk, Kibana, and AWS Cloudwatch.Familiarity with application performance monitoring tools like AppDynamics and Dynatrace.Familiar with ServiceNow tool and environment.Familiar in deploying, monitoring, and supporting cloud-based applications