About the company
Learnosity is the global leader in assessment solutions. We provide experiences that are digital, dynamic, and designed to meet the needs of modern learners to test and prove knowledge. Our technology powers assessment for hundreds of organizations of all sizes and reaches over 40 million learners every year.
Responsibilities
- Build, maintain and improve a modern, highly available, scalable, and secure cloud infrastructure on AWS to support our next generation of AI-powered products.
- Use AI tools to empower your productivity and make you more successful.
- Provide an end-to-end infrastructure provisioning, configuration and release ecosystem to support an AI-first Engineering team and the incredible rate of change and release schedule they need to achieve.
- Collaborate with cross-functional teams to ensure seamless integration and delivery of our products.
Requirements
- At least 6+ years of experience developing and working with large-scale production systems.
- Strong proficiency in Python.
- 2 years development expertise in at least one programming language beyond scripting, ideally PHP or Python.
- Advanced proficiency in POSIX shell scripting, including skills in using awk, sed, grep, etc.
- Experienced using GitHub, particularly GitHub Actions and Workflows.
- Strong version control skills using Git.
- Advanced Linux skills including iptables, systemd, logging, application management, diagnosis, sysctl tweaking, etc.
- Highly experienced with Docker and containerised applications and systems.
- Strong experience with Infrastructure as Code (CloudFormation, Troposphere or Terraform) for provisioning and managing scalable cloud infrastructure across multiple environments.
- Expertise in configuration management and automation using SaltStack or similar tools, including configuration development, system orchestration, and deployment automation.
- Experienced with AWS services including EC2, ALB/NLB, VPCs, IAM, RDS, ECS, Route53, and CloudFront.
- Some experience with large-scale databases and database administration, ideally MariaDB & PostgreSQL on Amazon RDS.
- Familiarity with metrics/monitoring systems, ideally Datadog and CloudWatch.
- Attention to detail and ability to read and contribute to documentation thoroughly.
- Conscientiousness, strong documentation skills, and openness to feedback.
- Experience leading projects, including planning, orchestration, migration, deployment, and delivery.
Conditions
- Hybrid role based in Sydney, NSW.
- Annual Leave, Milestone Leave, Paid sick leave, Generous parental leave, Health & dental insurance, Pension contributions, Learning & development support, Employee Assistance Program, Flexible work practices, Commuter benefits, Modern office.