Risepoint is an education technology company that helps regional universities launch and grow online programs for modern learners. Risepoint supports more than 100 universities and colleges across five countries, with programs concentrated in high-demand fields including nursing, healthcare, teaching, business, technology, and public service. Our suite of products and services supports the full student journey and each university&#x2019;s long-term goals. Together, we increase access to affordable education that delivers a strong return on investment for learners and meets employer and community needs. Learn more at risepoint.com. The Impact You Will Make The AI and Automation Lead applies artificial intelligence to the work of course design and production, so that Academic Services can deliver a growing volume of courses without adding headcount for every increase in that volume. The role turns repetitive, rule-based work across course development, course refresh and new-instance set-up into reliable AI-assisted workflows that can operate at scale across multiple courses, subjects and production cycles. This is a hands-on technical lead role working within the Director&apos;s AI roadmap. The role establishes and applies effective approaches for designing, testing and maintaining AI agents and automated workflows, helping build scalable AI and automation practices within Academic Services. This is a remote position that requires candidates to currently reside in Australia. What You Will Do How You Will Bring Our Mission to Life: <ul><li>Builds and maintains AI agents that carry out defined course development and quality assurance tasks, using Microsoft Copilot Studio and the approved Microsoft 365 environment.</li><li>Designs and tests the prompts and instructions that drive those agents, including encoding the team&apos;s written quality standards so the agent applies them consistently.</li><li>Evaluates AI output against expert judgement before release, documents the accuracy achieved, and re-tests when standards or source material change.</li><li>Builds repeatable automated workflows that connect AI output to the systems the team already uses, including Power Automate and scripting, so solutions can be reused across courses rather than built as one-off fixes.</li><li>Establish practical standards and reusable approaches for AI and automation development, testing and documentation, helping ensure solutions are consistent, scalable and maintainable across Academic Services.</li><li>Analyses manual processes to determine which are suitable for AI, which suit conventional automation, and which should stay with a person.</li><li>Monitors AI-assisted workflows in production, including error handling, accuracy drift, throughput and updates when the underlying process changes.</li><li>Documents how each agent and workflow operates so the team can use, troubleshoot and extend it without relying on one individual.</li><li>Serve as a technical resource to learning designers and production staff, providing guidance and training on effective use of AI and automation tools and when AI output requires human review. </li></ul>What Success Looks Like <ul><li>AI-assisted workflows produce output the team trusts without re-checking every item by hand.</li><li>Manual, repetitive tasks are measurably reduced across course development, course refresh and new-instance set-up work.</li><li>Agents and workflows run reliably in production without daily intervention.</li><li>The team can use and troubleshoot the tools without depending on one person.</li><li>Course volume can increase without a matching increase in headcount.</li><li>Accuracy of AI-assisted output measured against expert review, with a documented threshold for release.</li><li>Number of manual processes moved to AI-assisted or automated workflows and reused at scale across courses, refresh cycles or production workflows.</li><li>Time saved per course refresh cycle, measured against a documented baseline.</li><li>Documentation and training completed for every agent and workflow released. </li></ul>What You&#x2019;ll Bring To The Team Experience That Matters Most: <ul><li>At least 4 years of relevant experience in automation, technology, data, AI, or related technical roles, including hands-on experience building and deploying solutions in a business environment.</li><li>Must reside in Australia.</li><li>Demonstrated experience building working applications of artificial intelligence in a business setting, with examples of tools delivered and in active use.</li><li>Practical skill in prompt design and testing, including getting consistent, reliable output from large language models.</li><li>Ability to evaluate AI output for accuracy and to judge when it is not fit for release.</li><li>Advanced beginner proficiency in Microsoft Copilot Studio or comparable agent-building platforms.</li><li>Proficiency in Microsoft Office 365, including advanced proficiency in Excel, and intermediate or higher proficiency in Microsoft Power Automate.</li><li>Advanced proficiency in Python, sufficient to process and manipulate structured documents and data.</li><li>Experience using ChatGPT or Microsoft Copilot to connect tools and create and build solutions.</li><li>Ability to document and hand over technical work so that others can maintain it.</li><li>Experience establishing technical standards, reusable approaches, or best practices for AI and automation solutions. </li></ul>Experience That&#x2019;s Great To Have <ul><li>Bachelor&#x2019;s degree in technology, computer science, data/analytics, or a related field, or equivalent practical experience.</li><li>Intermediate or higher proficiency in scripting languages such as R, SQL, JavaScript or PowerShell.</li><li>Work experience using AI tools such as Gemini and Claude.</li><li>Working knowledge of learning management systems such as Moodle and Canvas.</li><li>Working knowledge of Salesforce and its function as a customer relationship management system.</li><li>Experience applying artificial intelligence within a governed enterprise environment rather than open consumer tools.</li><li>Experience working in education, learning design or course production.</li><li>Experience training non-technical colleagues to use and critically assess AI tools. </li></ul>Risepoint is an equal opportunity employer and supports a diverse and inclusive workforce This Role Is Eligible For Comprehensive Benefits Personal and Professional Development: <ul><li>Continuous Professional and Leadership Development Programs</li><li>Tuition Reimbursement for employees and their dependents </li></ul>

AI & Automation Lead (Remote - Australia)

Senior Software Engineer - Deployment Reliability &amp; AI Automation&#x1F4CD; Australia | Remote Contract | 6-Month Initial Engagement with renewal potential About the CompanyJoin one of the world&apos;s leading enterprise software innovators, trusted by hundreds of thousands of organisations globally to power collaboration, software development, service management, and productivity. This Australian-founded technology success story has grown into a globally recognised SaaS leader, serving teams ranging from fast-growing startups to Fortune 500 enterprises. Their products help millions of users streamline workflows, accelerate software delivery, and improve team effectiveness through cutting-edge cloud technologies and AI-driven innovation. About the OpportunityWe are seeking an experienced Software Engineer to join a specialist engineering team focused on improving deployment reliability across a large-scale cloud platform.This team is building the future of deployment recovery by combining software engineering expertise with emerging AI agent technologies. You&apos;ll troubleshoot complex deployment failures, improve platform resilience, and create documented solutions that become training data for next-generation AI-powered automation systems.This is a unique opportunity to influence how software deployments are managed at scale while helping shape the future of AI-assisted engineering operations. What You&apos;ll Be Doing<ul><li>Diagnose and resolve CI/CD deployment failures across cloud-based services</li><li>Investigate logs, metrics, health checks and deployment pipelines to identify root causes</li><li>Develop fixes through pull requests and collaborate with engineering teams</li><li>Improve deployment verification tests, health checks and monitoring systems</li><li>Create structured documentation of failure patterns, resolutions and outcomes</li><li>Contribute recurring failure patterns into automated AI recovery workflows</li><li>Help develop engineering playbooks and operational best practices</li><li>Work closely with platform engineering teams to improve deployment success rates</li><li>Participate in technical reviews, knowledge sharing and project updates</li></ul> Required ExperienceTechnical Skills<ul><li>5+ years&apos; commercial software engineering experience</li><li>Strong debugging and troubleshooting skills across complex systems</li><li>Hands-on experience with CI/CD pipelines and deployment tooling</li><li>Experience with platforms such as Spinnaker, Argo CD, Harness, Jenkins or similar</li><li>Solid Kubernetes and containerisation experience</li><li>AWS infrastructure provisioning knowledge including Terraform or CloudFormation</li><li>Experience working with application logs, metrics and monitoring platforms</li><li>Strong development capabilities in at least one of:</li><li>Java/Kotlin</li><li>Python</li><li>Go</li><li>TypeScript</li><li>Experience using AI-powered engineering tools such as GitHub Copilot, Cursor, Claude Code or similar</li><li>Excellent written documentation skills</li></ul> Nice to Have<ul><li>Container security and vulnerability remediation experience</li><li>Experience within large-scale SaaS or platform engineering environments</li><li>Exposure to AI agent frameworks, evaluation datasets or LLM-based automation systems</li><li>Experience operating within mature engineering organisations using code review and approval processes</li></ul> What Makes This Role Different?<ul><li>Work on highly visible platform engineering initiatives</li><li>Help define how AI agents automate deployment recovery</li><li>Direct impact on engineering productivity and reliability at global scale</li><li>Fully remote opportunity within Australia</li><li>Opportunity to work with modern cloud-native technologies and AI-driven engineering practices</li><li>Collaborate with some of the industry&apos;s leading platform engineers</li></ul> Ideal BackgroundWe&apos;d love to hear from engineers currently working within:<ul><li>Large-scale SaaS organisations</li><li>Cloud infrastructure businesses</li><li>E-commerce technology platforms</li><li>Developer tooling companies</li><li>Global technology organisations with strong DevOps and platform engineering practices</li></ul> If you&apos;re passionate about solving complex deployment challenges, cloud infrastructure, Kubernetes, and the future of AI-assisted software engineering, we&apos;d love to speak with you. Apply now or reach out for a confidential discussion

Senior DevOps Engineer - AI Automation

Senior DevOps Engineer | Rapidly Growing Fintech (Sydney / Remote)Scale AWS infrastructure &amp; CI/CD pipelines for a high-growth Fintech! 4-6+ yrs experience, Terraform &amp; AI tooling. Fully remote! <ul><li>Fully remote position (must be based in Sydney however)</li><li>Heavy hands-on use of modern AI coding and automation</li><li>Scale cutting-edge AWS cloud infrastructure for a high-growth fintech</li></ul> Our client is a high-growth, innovative technology company operating in the financial services sector, delivering market-leading automation, research, and data platforms. By streamlining complex workflows, their technology empowers financial professionals and enterprise clients to operate with maximum efficiency, speed, and precision in a heavily regulated landscape. As an industry trailblazer, their platform combines cutting-edge architecture with embedded AI capabilities-such as automated document ingestion and automated generation tools, to redefine how services are delivered. With a strong national presence and global ambition, their vision is simple yet bold: to be a global leader in data-driven, tech-enabled platform solutions. Flexible Work Culture: Fully remote / WFH with a Sydney office available for purposeful collaboration, team workshops, and strategic planning. The RoleWe are seeking a Senior DevOps Engineer to join their team, reporting directly to key technology leadership. In this pivotal position, you will own, maintain, and continuously improve their cloud infrastructure, automated deployment pipelines, and operational tooling. You will work closely with the internal development teams (8&#x2013;9 developers) to get new services production-ready, optimize system monitoring, and ensure high platform performance without overspending on resources. As an early adopter of modern technology, our client&#x2019;s engineering ecosystem heavily embeds AI into both core products and internal workflows; you will leverage modern AI tools (such as Claude Code) to accelerate daily infrastructure-as-code development, pipeline optimization, and code reviews. Responsibilities:<ul><li>Infrastructure &amp; Cloud Management: Design, build, and maintain scalable AWS infrastructure (ECS, RDS, OpenSearch, ElastiCache, API Gateway, CloudFront, Lambda) using Infrastructure as Code tools (Terraform / OpenTofu and CDK).</li><li>CI/CD &amp; Automation: Oversee code deployments and manage, improve, and troubleshoot CI/CD builds and pipelines (GitLab CI) to ensure seamless delivery across environments.</li><li>Production Readiness &amp; Review: Work alongside Software Engineers to review architectural implementation proposals and ensure new services are secure, cost-optimized, and production-ready.</li><li>Monitoring &amp; Observability: Extend and improve platform monitoring, system health tracking, and alerting systems to maintain high availability across 80% Linux / 20% Windows environments.</li><li>AI-Assisted Engineering: Safely and effectively utilize AI-assisted coding tools (e.g., Claude Code, AWS Bedrock, Anthropic models) to generate, validate, debug, and refactor IaC scripts, automation pipelines, and operational tooling.</li><li>Quality &amp; Automated Testing: Assist in implementing automated testing tools and mentor development team members on automated deployment principles, conventions, and best practices.</li><li>Security &amp; Compliance: Protect client data confidentiality and ensure infrastructure complies with stringent security and privacy requirements through code-level controls and documentation (Confluence/Git).</li></ul> Skills &amp; Qualifications Required:<ul><li>Experience: At least 4&#x2013;6+ years of dedicated experience in DevOps, Cloud Architecture, and Infrastructure Engineering.</li><li>AWS Cloud Expertise: Strong, hands-on experience in cloud architecture and networking on AWS native services (including ECS, RDS, Lambda, OpenSearch, and API Gateway).</li><li>Infrastructure as Code (IaC): Deep practical expertise using Terraform (OpenTofu) and/or AWS CDK to manage, scale, and automate infrastructure.</li><li>CI/CD &amp; Version Control: Demonstrated experience managing continuous integration and delivery systems (e.g., GitLab CI) and Git workflows.</li><li>AI-Assisted Tooling: Demonstrated proficiency or strong willingness to safely integrate AI tools (e.g., Claude Code, GitHub Copilot) into daily IaC workflows, prompt engineering, and code refactoring.</li><li>Systems Administration: Experience administering Linux environments (primary ~80%) along with Windows Server systems (~20%).</li><li>Software Engineering Foundations: Solid understanding of the Software Development Lifecycle (SDLC), agile methodologies, and basic script/code development (Node.js/JavaScript background is a plus).</li><li>Communication &amp; Autonomy: Strong written and verbal communication skills, with a proactive problem-solving mindset and the ability to work autonomously in a fast-paced environment.</li><li>Eligibility: Australian Citizen or Permanent Resident (PR) status required.</li></ul>

Senior DevOps Engineer

Our Mission At Palo Alto Networks&#xAE;, we&#x2019;re united by a shared mission&#x2014;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&#x2019;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&#x2019;re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Summary About us Chronosphere, a Palo Alto Networks company, is the observability platform built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing complexity, optimizing costs, and remediating issues faster. Chronosphere reduces data volumes and associated costs by 84% on average while saving developers thousands of hours. Recognized as a leader by major analyst firms, Chronosphere is trusted by the world&apos;s most innovative brands, including DoorDash, Affirm, and Zillow. About Our Roles We are building AI Observability and Evaluation capabilities on Chronosphere&#x2019;s observability platform to help developers understand and improve the accuracy, relevance, performance, and safety of AI models, agents, and retrieval-augmented generation (RAG) applications. Our team enables customers to systematically test, measure, and benchmark AI agents and applications before deployment and monitor how they behave in production. We turn complex telemetry and evaluation data into insights that help developers build and operate reliable AI agents and applications at scale. We are looking for experienced engineers with a strong product sense who asks &#x201C;why&#x201D; as often as &#x201C;how&#x201D;. You&#x2019;ll partner with product managers, engineers, and customers to translate emerging AI observability and evaluation needs into scalable backend systems and cohesive developer workflows. You&#x2019;ll help shape the technical roadmap and architecture, taking features from early exploration through production delivery. Qualifications You will <ul><li>Build backend capabilities that help developers observe and evaluate AI models, agents, and RAG applications before and during production</li><li>Design systems for systematic testing, measurement, and benchmarking of AI agents and applications accuracy, relevance, performance, and safety</li><li>Build scalable APIs and data processing systems that contextualize AI telemetry and evaluation results, helping customers understand application behavior and identify opportunities for improvement</li><li>Help shape the technical roadmap and architecture for AI Observability and Evaluation, building on Chronosphere&#x2019;s rapidly scaling platform</li><li>Collaborate with product managers, deeply technical teammates, and customers to scope, validate, and deliver integrated features and developer workflows</li><li>Improve our own system observability (we use our own product heavily)</li><li>Improve the performance, reliability, and cost efficiency of the distributed systems powering AI Observability and Evaluation</li><li>Mentor engineers and help maintain our engineering standards </li></ul>You have <ul><li>8+ years of experience in software engineering</li><li>Strong experience in one or more backend languages (e.g., Go, Java, Python, Rust)</li><li>Some experience developing LLM powered product features is desirable</li><li>Experience using AI coding assistants (e.g., Cursor, Codex, Claude) as part of day-to-day software development</li><li>Experience building and operating highly available systems in production</li><li>Experience working with cloud infrastructure (AWS, GCP, Azure)</li><li>Experience designing APIs (REST, gRPC, GraphQL) for scale</li><li>Experience working effectively with cross functional partners</li><li>Experience owning and executing projects from inception to delivery </li><li>Experience working with a high degree of autonomy with good judgement on when to push forward and when to ask for help </li><li>An effective collaborative working style and willingness to build and maintain a positive and supportive environment</li><li>An ability to operate effectively in a remote first environment </li></ul>Our Commitment We&#x2019;re trailblazers that dream big, take risks, and challenge cybersecurity&#x2019;s status quo. It&#x2019;s simple: we can&#x2019;t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

Principal Engineer, Software - Backend, AI Observability/Evaluations (Chronosphere)

Mobile Software Engineers, iOS, Android &amp; Cross-Platform Developers. Remote AI Project We are seeking experienced Mobile Software Engineers, iOS Developers, Android Developers, React Engineers, and Flutter Developers to contribute to a remote AI project focused on advanced mobile software engineering. You will create challenging coding environments that test an AI model&#x2019;s ability to debug mobile applications, build non-trivial features, refactor complex code, manage application state and lifecycle, and optimize performance. What You&#x2019;ll Do <ul><li>Create realistic and technically challenging mobile software engineering tasks using real or representative codebases. </li><li>Design problems involving bug fixing, feature development, application state, lifecycle behavior, asynchronous workflows, refactoring, and performance optimization. </li><li>Build tasks for React, Flutter, iOS, or Android applications based on your expertise. </li><li>Create reproducible development environments that allow each task to be evaluated consistently. </li><li>Write deterministic verifiers and automated checks that recognize correct solutions while rejecting incomplete, incorrect, or hard-coded implementations. </li><li>Develop golden reference solutions demonstrating one valid way to solve each engineering problem. </li><li>Identify edge cases and ensure tasks require genuine mobile engineering reasoning rather than superficial code changes. </li><li>Document task requirements, expected behavior, verification logic, and implementation assumptions clearly.</li></ul> Who Can Apply Relevant backgrounds include Mobile Software Engineers, Mobile Application Developers, Senior Mobile Engineers, Mobile App Developers, and Mobile Platform Engineers. We also welcome iOS Engineers, iOS Developers, Swift Developers, SwiftUI Developers, UIKit Developers, and Apple Platform Engineers. Android backgrounds may include Android Engineers, Android Developers, Kotlin Developers, Jetpack Compose Developers, and Android Application Engineers. Cross-platform backgrounds may include React Developers, React Engineers, Flutter Developers, Flutter Engineers, Dart Developers, and Cross-Platform Mobile Engineers. Software engineering backgrounds may include Frontend Engineers, Full-Stack Engineers, Product Engineers, and Software Developers with substantial production mobile application experience. Additional relevant backgrounds include Mobile Architects, Staff Mobile Engineers, Principal Mobile Engineers, Mobile SDK Engineers, and Application Performance Engineers. Requirements <ul><li>Significant professional experience building mobile applications. </li><li>Strong hands-on expertise in at least one mobile development track: React, Flutter, iOS, or Android. </li><li>Deep understanding of mobile architecture, state management, asynchronous programming, and application lifecycle. </li><li>Strong debugging and problem-solving skills across complex mobile codebases. </li><li>Experience building non-trivial application features. </li><li>Ability to refactor code while preserving functionality and improving maintainability. </li><li>Experience identifying and resolving mobile application performance issues. </li><li>Strong understanding of software testing and automated verification. </li><li>Ability to communicate technical requirements and reasoning clearly. </li><li>Comfortable working independently in a remote environment.</li></ul> Preferred Background <ul><li>Professional experience with TypeScript or JavaScript and React. </li><li>Professional experience with Dart and Flutter. </li><li>Professional experience with Swift, SwiftUI, or UIKit. </li><li>Professional experience with Kotlin, Jetpack Compose, or Android Views. </li><li>Experience designing complex coding exercises, interview problems, benchmarks, or engineering assessments. </li><li>Experience creating reproducible development environments and automated test suites. </li><li>Experience with mobile CI/CD, build systems, release pipelines, or platform tooling. </li><li>Experience working in large or mature mobile codebases. </li></ul> This opportunity is ideal for experienced mobile engineers who can look at a real application, identify subtle bugs or architectural problems, design challenging engineering tasks around them, create reliable automated verification, and provide a clean reference solution that demonstrates strong mobile engineering judgment. We are a referral partner of the client.

Mobile Developer | $80/hr | Remote

<ul><li>To be considered, applicants must be based in Australia (preferably Brisbane) and hold full, unrestricted Australian working rights.</li> <li>Brisbane-based / remote opportunity for a Integration specialist.</li> <li>Newly created opportunity.</li> </ul> A growing software business needs a senior engineer to take ownership of its API and integrations. You will make the interfaces other systems rely on more reliable, easier to test and simpler to extend. This is a hands-on role with real technical ownership. The platform is established, and its integration layer needs clearer standards, stronger testing and better visibility when something fails. You will shape how this work is done, then build patterns the wider engineering team can use. What you will take on: <ul> <li>Own the public API contract, including versioning, deprecation and backward compatibility.</li> <li>Review existing integrations and build reliable tests around the interfaces customers depend on.</li> <li>Improve monitoring and reconciliation so failures become visible sooner.</li> <li>Create repeatable patterns for assessing and delivering new integrations.</li> <li>Set engineering standards and help other developers apply them.</li> </ul> What you will bring: <ul> <li>Senior software engineering experience and a record of owning systems other people rely on.</li> <li>Strong API and integration experience, including REST, SOAP, JSON and XML.</li> <li>Sound automated testing practice, ideally including contract or integration tests.</li> <li>Good judgement around reliability, compatibility and maintainable code.</li> <li>Experience with PHP, AWS, SQL and Docker.</li> </ul> You will work closely with an experienced business analyst and a product counterpart, while owning how the work is implemented and whether it is ready to ship.&#xA0; The role is Brisbane-based / fully remote, with no regular office attendance (apart from) a monthly Town Hall that requires an in-person aspect. 2 stage interview process (Teams) Ideally you&apos;d be able to start by early November

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