Systems Engineer L4 — EL1

Australian Secret Intelligence Service; Canberra; On-site; AUD 120,000 - 170,000; Full time

Job summary

Australian Secret Intelligence Service is seeking Systems Engineers to design, deploy and secure complex, large-scale environments. You will build, test and production environments with CI/CD, implement robust security controls and maintain comprehensive design documentation.

Work with data scientists and engineers to deliver scalable software solutions for unique data challenges. You will continuously learn new skills, communicate proactively, and contribute to the ASIS mission with high-impact

Qualifications

• Bachelor’s degree in computer science, engineering, or related field.
• Experience in designing and maintaining large scale storage systems (Gluster, Ceph, etc)
• Strong containerisation experience using Docker, Podman and Kubernetes
• Experience in distributed computing technologies particularly Hadoop, Elasticsearch, Solr
• Strong experience in designing and tuning high-performance compute and AI infrastructure

Responsibilities

• Build, maintain and support development, test and production environments including CI/CD
• Implement and maintain best-practice security controls, including both on-system and throughout the development lifecycle
• Develop and maintain high-quality documentation including logical, system and network design documentation
• Perform analysis of monitoring, error reporting, alerting and issue reports to find the root cause of problems
• Collaborate with other engineers and data scientists to implement robust and scalable software solutions in a problem space like no other
• Contribute to the design and development of ground-breaking solutions for unique data challenges across the ASIS mission
• Independently learn and develop new skills and techniques with an eye to practical applications
• Communicate regularly and pre-emptively with peers and colleagues to keep everyone informed

Skills

CI/CD

Security controls

Documentation

Root cause analysis

Collaboration with data scientists

Learning new skills

Communication

Education

Bachelor’s degree in computer science, engineering, or related field

Tools

Docker

Podman

Kubernetes

Gluster

Ceph

Hadoop

Elasticsearch

Solr

Job description

Systems Engineers in ASIS maintain highly specialised systems delivering to operational teams around the globe. We have a large number of systems delivering a variety of services at a range of maturities. Extending beyond a normal systems administration role, there is never a dull moment and we work closely with our data scientists and analytical teams to have a real impact.

Key Responsibilities and Tasks

• Build, maintain and support development, test and production environments including CI/CD
• Implement and maintain best-practice security controls, including both on-system and throughout the development lifecycle
• Develop and maintain high-quality documentation including logical, system and network design documentation
• Perform analysis of monitoring, error reporting, alerting and issue reports to find the root cause of problems
• Collaborate with other engineers and data scientists to implement robust and scalable software solutions in a problem space like no other
• Contribute to the design and development of ground-breaking solutions for unique data challenges across the ASIS mission
• Independently learn and develop new skills and techniques with an eye to practical applications
• Communicate regularly and pre-emptively with peers and colleagues to keep everyone informed

Education, Qualification and Experience Requirements

The following education, qualifications and/or experience will be highly regarded:

• Formal training, such as a bachelor’s degree in computer science, engineering, or related field
• Experience in designing and maintaining large scale storage systems (Gluster, Ceph, etc)
• Strong containerisation experience using Docker, Podman and Kubernetes
• Experience in distributed computing technologies particularly Hadoop, Elasticsearch, Solr
• Strong experience in designing and tuning high-performance compute and AI infrastructure