About Maincode Maincode makes Matilda, an Australian-made AI stack we own end to end, from tin to token. We own and operate our own infrastructure here in Australia, we train and maintain our own frontier models, and we run multiple surfaces on top of them, including chat, coding and API. Everything we ship is built on capability we control ourselves. We are hiring someone who cares about that. You should be passionate about Australian-made AI, a builder first, and keen to work directly with customers to help them move forward on the Matilda stack. The Role You will be Maincode&apos;s senior technical presence with customers in Melbourne, including departments across the Justice and Community Safety (JACS) portfolio. This is a forward-deployed engineering role. You will embed with customer teams, get to grips with their hardest data problems, and design, adapt and deploy the Matilda stack to solve them. You will be the technical face of Maincode in the Justice and Emergency Services (J&amp;ES) community: credible in a room of senior technical staff, able to prototype in days, and rigorous enough to ship working systems into classified environments. What You Will Do <ul><li>Embed with Victorian J&amp;ES customers to find where Matilda can deliver real mission outcomes, and turn loosely defined requirements into concrete technical plans.</li><li>Design, fine-tune, evaluate and deploy systems on the Matilda stack against customer data, including in on-premises, air-gapped and classified environments.</li><li>Own delivery end to end, from data pipelines and fine-tuning through retrieval-augmented generation, evaluation, MLOps and hardening to relevant Government security standards.</li><li>Brief confidently at every level, from working engineers through to executives, and write architecture papers and evaluation reports that stand up to scrutiny.</li><li>Bring what you learn in the field back to the team that trains the models, so customer experience directly shapes the next version of the stack. </li></ul>Essential What You Will Bring <ul><li>Must hold an active AGSVA NV1 (or higher) security clearance and be willing to undergo Victoria Police organizational suitability vetting.</li><li>Deep hands-on experience in data science and ML engineering, with strong Python, modern ML stacks such as PyTorch, JAX and the Hugging Face ecosystem, and solid software engineering fundamentals.</li><li>Demonstrated experience deploying ML systems in secure government, defence or intelligence environments, including on-premises and air-gapped infrastructure.</li><li>Working knowledge of the Victorian Protective Data Security Framework (VPDSF), the ISM, the Protective Security Policy Framework (PSPF), and data classification and handling requirements.</li><li>Excellent judgement and discretion, and the ability to operate autonomously inside customer environments.</li><li>The ability to explain complex ML concepts crisply, and to write exceptionally well. </li></ul>Highly Regarded <ul><li>Prior experience within State Law Enforcement, Public Safety, or Federal Intelligence (e.g., VicPol, ASIO, ASD, or Defence S&amp;T), ideally in a data science, technical, or analytic role.</li><li>Hands-on experience with large language models: fine-tuning, evaluation, retrieval-augmented generation, and their known failure modes.</li><li>Familiarity with intelligence-adjacent data workflows such as entity resolution, geospatial analysis, OSINT, graph analytics, or tradecraft tooling.</li><li>Solutions architecture or technical pre-sales experience in a commercial setting. </li></ul>Eligibility This position requires an active AGSVA NV1 (or higher) clearance. Due to clearance eligibility requirements, applicants must be Australian citizens. You will be required to consent to AGSVA revalidation, and to obtain and maintain customer-specific briefings and accesses as required. Details <ul><li>Location: Melbourne, VIC. Regular work from customer facilities and secure sites, with some work from Maincode offices.</li><li>Type: Full-time, permanent.</li><li>Remuneration: Negotiable based on experience, plus super and equity. </li></ul>Who Thrives Here Builders who want to spend time with customers, and customer people who actually build. If you care about Australian-made AI and you would rather spend your week deploying systems with agencies than talking about them, you will do well here.

Forward-Deployed AI Engineer, Justice and Community Safety

The Role This is a fantastic opportunity for experienced Android Engineers to join ABC Digital Product and help shape the applications Australians use to access ABC content across mobile and connected TV. We have two opportunities 1 x Senior Engineer &amp; 1x Lead Engineer to work across the ABC&#x2019;s Android and Android TV applications. You&#x2019;ll work hands-on with Kotlin and modern Android technologies, shaping architecture and technical roadmaps while driving quality, performance and engineering best practice. Our Lead Engineer will also have broader responsibility for people leadership, delivery and the long-term technical direction of the team. Key Accountabilities <ul><li>Lead the design, development and maintenance of ABC Android and Android TV applications</li><li>Build scalable, complex, secure, accessible and highly performant applications using Kotlin and Jetpack Compose</li><li>Define and contribute to long-term technical roadmaps, architecture and mobile engineering strategy</li><li>Design and develop reusable components and functionality across ABC mobile products</li><li>Develop comprehensive unit, integration and end-to-end automated testing</li><li>Work across the mobile release lifecycle including CI/CD, automation pipelines and production monitoring</li><li>Identify, triage and resolve complex production issues while continually improving system reliability</li><li>Drive improvements across performance, security, accessibility and development standards</li><li>Provide technical leadership, guidance and mentoring to engineers</li><li> For the Lead role, manage engineers responsible for solution design, development and testing while supporting coaching, succession planning, capability growth and retention</li><li> For the Lead role, coordinate delivery across the team and influence strategic technical decisions across broader Digital Product </li></ul>About You You&#x2019;ll bring: <ul><li>Highly advanced Android development experience, ideally demonstrated through public-facing applications written in Kotlin and Jetpack Compose.</li><li>Significant experience building scalable, secure, accessible and high-performing mobile applications</li><li>Deep knowledge of modern Android frameworks, architecture and development tools</li><li>Extensive automated testing experience across unit, integration and end-to-end testing</li><li>Strong experience with mobile CI/CD, release automation and production monitoring</li><li>Demonstrated technical leadership and the ability to influence engineering direction</li><li>Strong communication skills and experience working across technical and non-technical stakeholder groups</li><li>Strong organisational capability with experience coordinating complex multi-person delivery</li><li> For the Lead role, demonstrated experience managing technical teams and providing strategic direction</li><li> For the Lead role, significant experience coaching, mentoring and developing highly technical engineers</li><li> For the Lead role, strong strategic thinking and the ability to influence stakeholders and drive engineering outcomes </li></ul>What&#x2019;s in it for you? Come and join the vibrant Digital Product department in the ABC. Our mission is to enable ABC&#x2019;s digital future, where ABC transitions from a traditional broadcaster to Australia&#x2019;s most trusted and valued digital media organisation. Through harnessing our talents in digital, collaborating with our partners and delivering beyond expectations, we ensure the ABC not just remains relevant but thrives. As a group of product and platform teams, we develop and maintain the ABC&apos;s audience-facing digital products across mobile, connected TV, desktop and smart speakers. Whether it is staying informed of the latest breaking news, bringing some great TV on ABC iview, streaming the Hottest 100 on the triple j app and website or entertaining the kids with our ABC Kids app, the ABC&apos;s Digital Product offerings are some of Australia&apos;s most loved and most used platforms. You&#x2019;ll have the opportunity to influence the technical direction of major ABC mobile products while developing technology used at significant audience scale. You can get a sneak peek into our product engineering world through our blog: ABC Digital Product For further information on these positions please contact Jamie Nedved, Digital Talent Acquisition Lead via email nedved.jamie@abc.net.au In line with our focus on diversity, applications are strongly encouraged from Indigenous Australians, people from a range of cultural and linguistic backgrounds, people with disability and LGBTIQA+ individuals. The ABC also aims to achieve a gender-balanced workforce. If you require recruitment or selection information in an alternative format, or need adjustments or accessibility support, please email accessibility@abc.net.au For more information on inclusive employee networks within the ABC please refer to the ABC Life page on LinkedIn. For more information on working at the ABC visit ABC Careers.

2 x Android Engineers | Senior & Lead

AI FactoryOS Operations&#xA0;AI FactoryOS is Firmus&apos; proprietary operating system for the AI Factory. It governs GPU telemetry, cooling, power and grid interaction as one integrated layer, so that every Firmus site can be optimised and monitored as a single system.&#xA0;AI FactoryOS Operations runs that platform in production and owns the 24/7 reliability of AI FactoryOS, Firmus AI Cloud and the platforms built on them, together with the service levels the estate is measured against.&#xA0;The remit is an engineering one. The function builds the guarded automation, remediation and operational tooling that turn manual response into a software-defined capability. It also builds the shared services the estate&apos;s own operation depends on, and runs them. Operating the estate every day is what shows how the platform behaves under real load and under failure, and the function works with the engineering teams that build it to turn what it finds into permanent fixes and design improvements.&#xA0;Senior Kubernetes Platform EngineerRole Summary&#xA0;Firmus runs large-scale, state-of-the-art AI infrastructure built on the latest generation of GPU rack-scale systems and operated as one estate to power the next generation of AI innovation. The Senior Kubernetes Platform Engineer&#xA0; runs the Kubernetes estate that every product and every tenant runs on: the platform controller layer, the virtual cluster platform tenants are provisioned onto, the Kubernetes environment baselines used across the estate, the GPU integration layer, and the automated tenant onboarding and release pipeline.&#xA0;This is a hands-on senior role with deep technical expertise. This role owns the platform lifecycle execution across the fleet: keeping clusters healthy and current across the fleet, keeping tenant workloads running through upgrade and failure, and restoring control planes to service when they degrade. Automation is a first-class part of the role, in the operational tooling, guarded remediation and fleet orchestration that make estate-scale operation possible, delivered as controlled code and reviewed by AI Infrastructure where it affects service behaviour.&#xA0;Key Responsibilities&#xA0;<ul><li>Responsible for the reliable operation, automation and continuous improvement of the multi-tenant Kubernetes platform that Firmus&apos; products and tenants run on, spanning every site in the estate.&#xA0;</li></ul><ul><li>Build the operational tooling, guarded remediation and orchestration that automate operations at fleet scale, and contribute operator and controller requirements, and code where agreed, to AI Infrastructure&apos;s platform backlog with the production evidence behind them.&#xA0;</li></ul><ul><li>Execute the Kubernetes cluster lifecycle across the fleet, including provisioning, patching, upgrade and decommissioning, running the deployment and upgrade mechanisms built by AI Infrastructure through the agreed staged or canary path, and holding estate version compliance and retirement coordination.&#xA0;</li></ul><ul><li>Operate and recover Kubernetes control planes carrying live tenant workload, including etcd state, certificate rotation, failed upgrades and corrupted resources.&#xA0;</li></ul><ul><li>Operate the virtual cluster platform and multi-tenant isolation patterns that tenants are provisioned onto, and the automated tenant onboarding and release pipeline that lands new tenants safely and repeatably.&#xA0;</li></ul><ul><li>Operate the GPU integration layer for Kubernetes (for example the NVIDIA GPU Operator), including device plugins, GPU scheduling and driver coordination.&#xA0;</li></ul><ul><li>Diagnose and resolve scheduling failures, CNI and CSI faults, admission rejections and resource contention from first principles, and drive continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks.&#xA0;</li></ul><ul><li>Run the Kubernetes baselines in production carrying the admission policy, workload identity and network policy content set by the Senior Platform Security Engineer, and hold the operational acceptance requirements those baselines have to meet before they enter production.&#xA0;</li></ul><ul><li>Provide the deepest technical expertise for Kubernetes faults across the estate, diagnosing the faults that require internals-level knowledge to root cause, and driving the permanent fix to closure through AI Infrastructure, and mentor the engineers who carry frontline diagnosis, documenting operational procedures, runbooks and performance results.&#xA0;</li></ul><ul><li>Lead technical recovery during major Kubernetes incidents under the incident commander, drive the changes that remove repeat causes through the problem record, and share the after-hours escalation roster for the Kubernetes estate.&#xA0;</li></ul>&#xA0;Skills &amp; Experience&#xA0;Required Skills&#xA0;<ul><li>Strong skills in platform and infrastructure engineering, with 8+ years of experience overall and substantial ownership of production Kubernetes platforms in a 24/7 environment.&#xA0;</li></ul><ul><li>Deep experience operating Kubernetes at fleet scale, including cluster lifecycle, upgrades and multi-cluster management.&#xA0;</li></ul><ul><li>Strong experience with Kubernetes control plane internals, including etcd, the API server, controllers, schedulers, and certificate and credential rotation.&#xA0;</li></ul><ul><li>Strong experience writing Kubernetes controllers, operators or admission logic in a production setting.&#xA0;</li></ul><ul><li>Experience with multi-tenant or virtual cluster patterns (for example vCluster or equivalent), including tenant isolation at the Kubernetes layer.&#xA0;</li></ul><ul><li>Experience operating GPU-enabled Kubernetes, including device plugins, GPU scheduling and driver coordination (for example the NVIDIA GPU Operator).&#xA0;</li></ul><ul><li>Strong skills in infrastructure automation, infrastructure-as-code and GitOps practices (for example OpenTofu or Terraform, Ansible, Argo CD), with change delivered through peer review, automated testing and progressive rollout.&#xA0;</li></ul><ul><li>Strong experience with scripting or programming for operational automation and tooling, such as Go, Python or Bash.&#xA0;</li></ul><ul><li>Proven ability to act as a senior escalation point in production, including major incident response, on-call participation, post-incident review, and the production of runbooks that others can execute successfully.&#xA0;</li></ul><ul><li>Solid understanding of Kubernetes security fundamentals, including admission control, workload identity and network policy.&#xA0;</li></ul><ul><li>Clear technical judgement and communication skills, with the ability to produce documentation, design notes and escalations that other engineers can act on.&#xA0;</li></ul>&#xA0;Preferred Experience&#xA0;<ul><li>Experience operating Kubernetes for GPU or HPC workloads at scale.&#xA0;</li></ul><ul><li>Experience with automated tenant or customer onboarding pipelines in a multi-tenant platform.&#xA0;</li></ul><ul><li>Experience with vendor Kubernetes distributions or reference architectures for accelerated computing.&#xA0;</li></ul><ul><li>Familiarity with DPU or SmartNIC-based networking as it relates to Kubernetes CNI design.&#xA0;</li></ul><ul><li>Experience contributing to open-source Kubernetes ecosystem projects.&#xA0;</li></ul><ul><li>A Bachelor&apos;s degree in computer science, engineering or a related discipline, or an equivalent combination of relevant experience and training.&#xA0;</li></ul>&#xA0;Expected Outcomes&#xA0;&#xA0;<ul><li>Fleet-wide cluster upgrades executed through the staged path with no unplanned tenant-visible outage, and version compliance held across the estate.&#xA0;</li></ul><ul><li>Tenant onboarding running as a routine operation rather than a project.&#xA0;</li></ul><ul><li>Control plane recovery tested against live-equivalent conditions and executable by an engineer who did not write the procedure.&#xA0;</li></ul><ul><li>Kubernetes escalations falling as operational automation and guarded remediation take on the common faults.&#xA0;</li></ul><ul><li>Platform defects and operability gaps evidenced into the platform engineering backlog and closed permanently, with repeat causes falling.&#xA0;</li></ul>&#xA0;&#xA0;Location &amp; Reporting&#xA0;Location: Based in Australia or Singapore, with travel to Australian AI Factory sites as required.&#xA0;On-call: The function runs 24/7. First line monitoring and first response sit with the operations centre. This role shares the after-hours escalation roster for its domain with the other senior engineers in the function.&#xA0;

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