Infrastructure Engineer

Job Description:
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.
Develop and maintain monitoring and alerting solutions tailored for monitoring decoupled Storage(Hadoop) and Compute(Spark Grid) production and production-like environments.
Build internal tools that integrate with existing monitoring platforms (e.g. Influx, Grafana, Telegraf) to collate and derive insights from production metrics.
Proactively monitor and manage the Infrastructure - Cloudera Hadoop and Apache Spark .
Support application releases, implementations, upgrades (RHEL, Spark), and/or changes into the environment.
Build strong partnership with Development, Infrastructure and platform teams.
Configures and maintains the set of tools and services that provide Continuous Integration and Continuous Delivery (CI/CD) services and validates access control mechanisms for the Software and Infrastructure Engineering team throughout the software development lifecycle.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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Required Qualifications:
3-5 years of experience with logging and monitoring platforms - Influx/Prometheus, Grafana etc.
System Admin experience with Linux, Influx/Prometheus and Grafana tools.
Unix Administration experience
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.
Experience with secrets management (e.g., HashiCorp HVault).
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.

Desired Qualifications:
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

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.