Application Support Engineer III

As an Application Support Engineer III within the LRI Application Support team, you will use both creative and critical thinking skills to maintain application systems crucial to the daily operations of the firm. You will work collaboratively in teams on a wide range of projects based on your primary area of focus. While learning to fix application and data issues as they arise, you will also gain exposure to software development, testing, deployment, maintenance, and improvement, in addition to production lifecycle methodologies and risk guidelines.

Finally, you will have the opportunity to develop professionally and grow your career in multiple ways.

• Monitor and maintain the health and performance of production systems.
• Automate repetitive tasks and processes to enhance efficiency.
• Participate in on-call rotations to respond to incidents and ensure system uptime.
• Analyze system metrics and logs to identify and resolve issues proactively.
• Contribute to the development and maintenance of documentation and run-books
• Support the deployment and release processes to ensure smooth transitions.

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
• Basic knowledge of application development
• Basic understanding of Linux/Unix systems and networking concepts.
• Ability to investigate and triage production issues
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Working knowledge of development toolset and deploy software
• Knowledge of monitoring tools and practices (e.g., Prometheus, Grafana, Nagios, Dynatrace).
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills to work with multiple teams and develop meaningful relationships to achieve common goals
• Eagerness to learn and adapt to new technologies and methodologies.

• Experience with containerization technologies like Docker and Kubernetes.
• Understanding of version control systems (e.g., Git).
• Exposure to infrastructure as code tools (e.g., Terraform, Ansible).