SRE / Applications Support Engineer

Must-Have Skills:

Mid-Level Experience: Around 7 years of experience in application support.
Front-Office Support: Experience working with traders and excellent communication skills.
Scripting & Development: Python scripting and small development tasks.
Unix/Linux: Proficiency in Unix/Linux, including shell scripting.
Databases: Experience with RDMS (Relational Database Management Systems).
Monitoring Tools: Familiarity with Geneos, Grafana, Splunk, or similar tools.
SRE Tools: Experience with automation tools used for SRE.
Job Scheduling: Knowledge of job scheduling tools.
Cloud: AWS experience, AWS certification preferred.

Nice-to-Have Skills

Financial Product Knowledge: Fixed Income, Derivatives, Bonds, Treasuries, FX trading, Equities, Interest Rate Derivatives, Credit Risk.
Application Development: Proficient in application development for multiple technologies and design techniques.
Programming Languages: Working proficiency in one or more general-purpose programming languages (Java, Python, .Net, C++, etc.).

Key Responsibilities

Provide front-office application support, ideally with experience on a trading floor.
Troubleshoot and resolve application issues in a timely manner.
Collaborate with traders and other stakeholders to understand requirements and provide solutions.
Develop and maintain scripts and tools for automation and monitoring.
Participate in incident response and problem management.
Contribute to the continuous improvement of application stability and performance.

Qualifications

BS/BA degree or equivalent experience.
Enthusiastic, self-motivated, and inquisitive, with a strong sense of ownership.
Understanding of risk controls and compliance standards.
Ability to work collaboratively in teams.

Technical Skills Desired

Working knowledge of Python or other programming languages, plus an interest in learning other coding languages.
Working knowledge of development toolsets to design, develop, test, deploy, maintain and improve software.
Knowledge of LINUX/UNIX operating systems.
Knowledge of scheduling tools (Autosys, Control M).
Basic Cloud knowledge (AWS or Kubernetes).
Experience with database technologies and SQL queries.
Experience or knowledge of working in a DevOps / SRE model.
Knowledge of development tools (Jenkins, Git, BitBucket).