Infrastructure Engineer

Hi,

Job Title: Infrastructure Engineer

Location: Charlotte, NC(Hybrid-3 Days Onsite)

Duration: 12 Month contract with Possible extension

Interview Process / Who Is Involved?: 2 rounds (1- Web-ex, 2nd might be in person)

Project Details:

• Top
• Unix Admin experience with RHEL, FEDORA, etc.
• Unix Shell / Python Scripting

• Second tier either group:
• Group 1
• Influx / Time series database
• Grafana
• Group 2
• GRID management / tuning experience The Global Risk Analytics technology team is seeking an infrastructure support engineer with a wide breath of experience in GRID computing, data storage clusters, high performance computing (HPC) and application development. The successful candidate will be responsible for supporting some 150+ model developers on our big data distributed infrastructure, which is comprised of a 5+ peta byte Hadoop storage cluster and a 30K core compute GRID. The successful candidate will work with a team of talented model developers, many of which have PhDs in computer science, engineering and mathematics and assist them with issue resolution on our big data infrastructure.

Must Haves / Required Skills:

• 3-5 years of experience with logging and monitoring platforms - Influx/Prometheus, Grafana etc.
• System Admin experience with Linux, Influx/Prometheus and Grafana tools .
• Demonstrated ability to build observability tooling or integrations that serve multiple internal teams.
• Proficiency in scripting (e.g., Python, Shell ) to create diagnostic and observability tools.
• Experience with Git and version control workflows.
• Knowledge of CI/CD tools ( Jenkins , GitHub) and Ansible is highly desired.
• Exceptional debugging and root cause analysis skills across application, infrastructure, and network layers.
• Ability to multi-task, as well as being flexible to assist team members as needed.

Skills / Experience That Are A Plus
nice to have , but not necessarily required:

• Experience in a site reliability role.
• Basic understanding of Cloudera Hadoop would be beneficial.
• Self-starter with a service-oriented mindset and a relentless drive to improve system reliability.
• Container technologies (Kubernetes, Docker, etc.)
• Active Directory and Kerberos, access management