AI-Driven DevOps Lead - AWS, MLOps, Hybrid

Ignite; Sydney; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

12-month contract + extension

Job summary

Ignite is seeking a Senior DevOps Engineer to lead cloud engineering efforts for AI and ML initiatives. The role focuses on deploying scalable AI/DS solutions in secure AWS environments, with a strong emphasis on DevOps and MLOps practices.

You will mentor multidisciplinary teams, establish templates and automation patterns, and ensure secure, scalable production-ready delivery across government programs. NSW or VIC-based with hybrid work options.

Qualifications

• Australian Citizenship is mandatory.
• Ability to obtain and maintain NV1 Security Clearance.

Responsibilities

• Lead the design, deployment and operationalisation of AI, machine learning and data science solutions.
• Drive DevOps, MLOps and cloud engineering best practices across AWS environments.
• Build and maintain scalable data pipelines, deployment frameworks and monitoring solutions.
• Develop reusable architectures, templates and automation patterns for AI workloads.
• Collaborate with Data Scientists, Business Analysts, Delivery Leads and technical teams to deliver secure and scalable solutions.
• Provide technical leadership, mentoring and engineering governance across multidisciplinary teams.

Skills

AWS cloud engineering

CI/CD

MLOps

Team leadership

Tools

Terraform

Cloud security

Job description

Ignite is seeking a Senior DevOps Engineer to lead cloud engineering efforts for AI and ML initiatives. The role focuses on deploying scalable AI/DS solutions in secure AWS environments, with a strong emphasis on DevOps and MLOps practices.

You will mentor multidisciplinary teams, establish templates and automation patterns, and ensure secure, scalable production-ready delivery across government programs. NSW or VIC-based with hybrid work options.