Full Stack Engineer

Capgemini; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Capgemini in Sydney is seeking a Full Stack Engineer to design, build and maintain cloud-native applications and data-driven solutions. You will work across responsive front-end development, back-end microservices, data workflows and cloud platforms, collaborating with global teams.

The role emphasizes secure engineering, AI-assisted tooling, robust documentation and independent delivery with Agile ceremonies, JIRA/Confluence, and hybrid work from the Sydney office three days a week.

Qualifications

• Experience using AI-assisted engineering tools.

Responsibilities

• Design, build, test and maintain scalable full-stack applications using modern web, data and cloud technologies.
• Develop intuitive front-end experiences and robust back-end microservices that support graph-enabled and master data use cases.
• Build containerised and serverless applications with appropriate resilience, performance and maintainability.
• Create and enhance CI/CD pipelines, automated tests and deployment controls.
• Deploy and support container workloads on Kubernetes and apply GitOps practices where appropriate.

Skills

AI-assisted tools

Monitoring & observability

Graph technologies

Angular

Next.js

Vue.js

Kubernetes

GitOps

Cloud services

Problem solving

Tools

GitHub Copilot

Claude Code

Splunk

Grafana

CloudWatch

Neo4j

BigQuery

Google Cloud

Kubernetes

Job description

Your RoleWe are seeking a Full Stack Engineer to design, build and maintain modern cloud-native applications and data-driven solutions. The role spans responsive front-end development, resilient back-end microservices, data workflows and cloud platforms. The successful candidate will apply secure engineering practices, produce high-quality documentation, work independently and collaborate with global technical and non-technical teams. AI-assisted engineering tools should be used responsibly to improve delivery speed and code quality.Key Responsibilities:Design, build, test and maintain scalable full-stack applications using modern web, data and cloud technologies.Develop intuitive front-end experiences and robust back-end microservices that support graph-enabled and master data use cases.Implement API-first, event-driven and data integration patterns appropriate to the solution.Build containerised and serverless applications with appropriate resilience, performance and maintainability.Contribute to technical design decisions and translate agreed designs into quality working software.Build and maintain cloud infrastructure through Infrastructure as Code and established engineering standards.Create and enhance CI/CD pipelines, automated tests and deployment controls.Deploy and support container workloads on Kubernetes and apply GitOps practices where appropriate.Implement effective logging, monitoring, alerting and operational support practices.Apply Secure by Design principles throughout the software development lifecycle.Produce clean, maintainable, well-tested code and consistent technical documentation.Use AI-assisted development tools responsibly to accelerate analysis, coding, testing and documentation while retaining human review and accountability.Work independently with minimal oversight, communicate delivery risks early and collaborate across locations and time zones.Participate actively in Agile ceremonies and maintain delivery artefacts in JIRA and Confluence.Contribute to change, incident and problem management activities when required.Your ProfileSkills and Experience:Experience using AI-assisted engineering tools such as GitHub Copilot, Claude Code or comparable solutions.Experience with monitoring and observability tools such as Splunk, Grafana or CloudWatch.Experience with graph technologies such as Neo4j or BigQuery Graph.Exposure to Angular, Next.js, Vue.js, Java, Go or dbt.Experience integrating with Google Cloud services such as Cloud Storage and BigQuery.Practical experience with GitOps delivery practices.Relevant experience in financial services, including banking, funds management, wealth management or investment management.Strong understanding of Master Data Management principles, data quality and enterprise data governance.Typically 5 to 10 years of relevant full-stack engineering experience.Strong problem-solving, written communication and stakeholder engagement skills.Ability to deliver quality outcomes independently with minimal oversight.Experience working within Agile delivery frameworks and using JIRA and Confluence.Strong risk management mindset and understanding of change, incident and problem management.Ability to collaborate with technical and non-technical stakeholders globally.Ability to work from the Sydney office three days per week and flex working hours when reasonably required for global collaboration.What you’ll love about working hereYou will be a part of a diverse collective of free-thinkers, entrepreneurs and industry experts. You will love the exposure to the scale of transformation, the depth of expertise, and the opportunities for growth.We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people.At the heart of our mission is your career growth. You will have countless learning and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications crafted to support you in exploring a world of opportunities.We realise a Total Reward package should be more than just compensation. We offer a range of core and flexible benefits and have a Peer Recognition Portal called ‘Celebrate’.Apply today!