Main Purpose of RoleThe DevOps Lead ensures the reliability, scalability, and performance of critical systems and services. This role bridges development and operations, fostering a culture of automation, resilience, and continuous improvement. The manager leads a team of SREs to apply best practices, manage incidents, and drive operational excellence.
Qualifications, Skills And Experience
* Bachelor's degree in Computer Science, Engineering, or related field
* Proven experience in SRE or DevOps leadership roles
* Strong knowledge of:
o Cloud platforms (AWS, Azure, GCP)
o Container orchestration (Kubernetes, Docker)
o Infrastructure automation (Terraform, Ansible, Jenkins, Lava)
* Expertise in programming languages (Python, Java)
* Proficiency with source control systems (GitHub Enterprise)
* Familiarity with monitoring tools: Prometheus, Grafana, PRTG
* Excellent communication and stakeholder management skills
* Experience with distributed systems and high-availability architectures
* Knowledge of security and compliance frameworks (ISO27001, SOC 2)
* Certifications in cloud technologies or ITIL
* Experience with Agile, Scrum, and Atlassian Jira
* Familiarity with Google Cloud AI & ML services, including:
o Vertex AI (end-to-end ML platform)
o AutoML (custom model training)
o BigQuery ML (machine learning in SQL)
o Cloud AI APIs (Vision, Natural Language, Translation)
o TensorFlow on Google Cloud
Other Attributes
* Strategic thinker with strong problem-solving skills
* Ability to thrive in a fast-paced, evolving environment
* Collaborative and empathetic leadership style
Key Elements & Activities of the RoleLeadership & Team Development
* Be a hands-on leader who connects with direct reports, peers, and partners both operationally and strategically
* Provide technical leadership and coaching, maintaining credibility in systems engineering, tools, and DevOps
* Promote a culture of learning, collaboration, and continuous improvement through Agile and Scrum
* Ensure the team has development pathways, meaningful objectives, and KPIs aligned to a clear technology roadmap
Reliability & Performance
* Manage, optimise, and deliver Systems, DevOps, and ML Ops as a service to internal stakeholders
* Define, publish, and measure Service Level Objectives (SLOs) and Indicators (SLIs)
* Oversee incident response, service request fulfilment, change management, optimisation backlogs, and post‐implementation/incident reviews
* Deliver efficiencies through problem management, release management, and continuous improvement
* Leverage Google Cloud AI and other tools for predictive analytics and anomaly detection
* Focus on consumption and cost-to-serve via demand shaping, capacity planning, and environment governance
Automation & Efficiency
* Develop and propagate frameworks, pipelines, and system engineering templates across platforms
* Evangelise engineering practices, microservices, CI/CD, infrastructure-as-code, and security-by-design
* Partner with Technology, Delivery, and Support teams to ensure alignment between software development and platform engineering
* Drive automation initiatives to promote self-help and self-enablement, reducing manual effort
Cross-Functional Collaboration
* Build strong relationships with stakeholders across Technology, Engineering, Architecture, and Seeing Machines support services
* Work closely with development teams to design scalable and resilient systems
* Align priorities across engineering, product, and operations teams
Governance & Compliance
* Influence architecture and governance standards to balance innovation, scalability, and compliance
* Establish cloud governance policies, access controls, and compliance standards
* Ensure systems are aligned to Seeing Machines DR and BCP expectations
Monitoring & Observability
* Enable monitoring systems, standards, and services that support predictive and reactive responses
* Develop and publish dashboards showing system health across Seeing Machines
* Deliver information and reporting according to an agreed cadence
Key LiaisonsInternal
* Technology Division
* Enterprise Systems & Services Department
* Project Leads
* All SM senior stakeholders
External
* Product Vendors
* Service Providers
We are a global company headquartered in Australia, an industry leader in computer vision technologies which enable machines to see, understand and assist people.
Our machine learning vision platform has the know-how to deliver real-time understanding of drivers through Artificial Intelligence (AI) analysis of heads, faces and eyes. This insight enables Driver Monitoring Systems (DMS), which monitors driver/operator identification and attention to prevent fatalities.
We exist to get people home safely.