DescriptionJoin 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 daytoday maintenance of the firms 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 endtoend application or infrastructure service delivery for the successful business operations of the firm
- Execute policies and procedures that ensure operational stability and availability
- Monitor production environments for anomalies address issues and drive evolution of utilization of standard observability tools
- Escalate and communicate issues and solutions to the business and technology stakeholders actively participating from incident resolution to service restoration
- Lead 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 experience
- Experience 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 plans crucial for optimizing database performance and efficient data retrieval.
- Handson 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 ControlM 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 cloudbased applications