Job title: Systems Engineer | Generative AI & Assets
Company: Deloitte
Job description: Job Requisition ID: 36249
- Be at the forefront of our AI journey
- Choice and flexibility on where, when, and how you work
- Learn from the best in the business
We are seeking an experienced Systems Engineer to join our growing Generative AI & Assets team. This is a unique opportunity to be at the heart of innovation in a start-up environment within a large, established organisation. You’ll help build the biggest and best AI-driven assets at Deloitte, driving strategic growth and shaping the future of the firm. We are open to candidates based in Bendigo, Sydney, or Melbourne.What will your typical day look like?
This role goes beyond traditional systems engineering-you will be part of a transformation journey, working on projects that drive tangible change and directly impact productivity across Deloitte. You’ll see the results of your work, from automating software lifecycles to enhancing developer activity within our community. Your ability to adapt, innovate, and push boundaries will help shape the way we work, creating space for you to forge your own path.
As a Systems Engineer, you will be the team Subject Matter Expert and be responsible for designing, implementing, and maintaining the ClearTrack Gen AI and Assets platform, built on Kubernetes infrastructure.Key responsibilities include:
- Implementing the central Gen AI and Assets Platform
- Installing, configuring, and maintaining operating systems and software
- Monitoring system performance to ensure reliability and availability
- Troubleshooting and resolving software and network issues
- Managing system security with regular updates and patches
- Collaborating with IT and development teams to integrate new technologies
- Creating and maintaining documentation for system configurations and procedures
- Ensuring data backup and disaster recovery processes are in place
- Contributing to continuous improvement of infrastructure-as-code practices and CI/CD pipelines
- Leading a small, cross-skilled team
In addition, you will also be responsible for:
- Project Delivery: Ensuring on-time and within-budget completion of system upgrades, implementations, and other projects
- Security Compliance: Adherence to security protocols to prevent breaches and vulnerabilities
- Documentation Quality: Maintaining comprehensive and up-to-date system documentation
- Performance Metrics: Improving system performance and efficiency, with faster processing times and reduced latency
- System Uptime: Ensuring high availability and minimal downtime for systems and networks
About the Generative AI and Assets team
The National Generative AI and Assets team is at the forefront of a strategic growth area for Deloitte, driving transformation and innovation across the firm’s largest and most important client offerings. Operating within Deloitte’s Strategy, Transformation & Innovation office, we are leveraging Design, AI, and Software Development to automate and revolutionize key processes, while fostering a community of forward-thinking developers. By integrating cutting-edge technologies into our service offerings and digital assets, we ensure our firm stays ahead in a rapidly evolving tech landscape.Enough about us, let’s talk about you.You may have all or some of the following skills/experiences:
- A minimum of 5 years of professional experience as a Systems Engineer, preferably with a focus on Generative AI
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field is preferable
- Experience with platform and software development, and release management in a mature managed services environment
Technical Skills:
- Cloud technologies and platforms such as Azure or Amazon AWS
- UNIX/Linux deployment and configuration management
- TCP/IP networking, databases, messaging, and security
- Knowledge of and experience with DevOps tools and techniques such as Infrastructure as Code and Immutable Infrastructure
- Experience with CI/CD tools such as GitHub, ADO, ArgoCD, and DevSecOps technologies
- Experience with writing Infrastructure as Code using Terraform
- Security protocols such as OAuth, SAML, or OpenID Connect
- Strong communication skills with the ability to work effectively with people from diverse backgrounds
Why Deloitte?At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.We prioritise flexibility and choice. At Deloitte, you get trust on Day 1. We know our people get their best work done when they’re in control of where and how they work, designing their work week around their client, team and personal commitments.We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.Next StepsApply now, we’d love to hear from you!#LI-hybridBy applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.
Expected salary:
Location: Bendigo, VIC – Melbourne, VIC
Job date: Thu, 19 Dec 2024 23:02:58 GMT
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