What We’re Looking for
PA is a Google Cloud Premier Partner and we create innovative solutions using the whole spectrum of Google Cloud products and services, as well as other leading cloud platforms.
One project might need you develop cutting edge AI solutions using sound engineering practices and the next might see you designing a secure PB-scale platform for analytics and AI or building a brand-new API platform to support future public services
You probably have a background as a software or DevOps engineer using languages and tools such as Java, Python, Kubernetes and Terraform, but it's your understanding of cloud technologies, architectures and techniques that are most important.
You probably have experience in designing and delivering solutions on Google Cloud, perhaps using serverless products such as Cloud Run, or infrastructure such as Compute Engine and GKE, AI such as Vertex AI, ADK or Agent Engine, as well as data services such as: BigQuery, Spanner, Dataflow, Composer, Bigtable or CloudSQL.
Ideally you will be qualified to Google Certified Cloud Architect, Data Engineer or Cloud Developer level, although good hands-on experience is just as valued.
Working in an agile development team is highly sought after, where you are applying design and development practices such as:
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Agile sprints to deliver incremental builds.
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Defining architectural and software design patterns.
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Designing for scalability, high availability and disaster recovery requirements.
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Secure development and architectural practices, as well as knowledge of non-functional considerations.
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Working alongside others in the team to develop, design, elaborate user stories and deliver estimates during story pointing.
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TDD and/or BDD approaches, considering outcome at design. Knowledge of test automation.
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Developing code and pipelines using CI/CD tools.
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Using tools such as JIRA for tracking progress and traceability.
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Reviewing code with your teammates to provide assurance on a release.
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Resolving root cause analysis and troubleshooting solutions.
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Using fundamental tools and languages E.g. Google Cloud SDK, SQL, Linux, PowerShell, Shell Scripting, HTML and CSS.
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Different types of database, e.g. Google Cloud Spanner, Firestore, Bigtable and BigQuery, as well as MongoDB, MySQL, Flink, Cassandra, SQL Server, Postgres. Developing schema for supporting business logic and data.
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Microservices architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP).
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Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI
PA’s common technology components:
Google Cloud
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Cloud Run
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Cloud Functions
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Kubernetes Engine, Compute Engine, VPCs
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Cloud Spanner, Cloud SQL and BigQuery
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Dataflow, Apache Beam
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Vertex AI, DialogFlow, Auto ML
Architecture
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Microservices patterns
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Event-driven architectures and message queues
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Relational and non-relational databases
Languages and frameworks
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Java 17+, JavaScript, Python, SQL
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Common frameworks and APIs such as Spring Boot, Guice, Jersey, Node.js, Flask
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Knowledge of JVM, its limitations, weaknesses, and workarounds
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Building tools such as Maven and Gradle
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CI/CD tools, such as Jenkins and Google Cloud Build
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Using a range of technologies and libraries in the Java ecosystem.
Your Accountability
As a Google Cloud Technical Lead (Principal Consultant), you'll own the design and lead a team or effort. We'll be looking at you to set technical direction and take responsibility for successfully achieving an outcome or deliverable. You may have a team of people to support, leading a development team, or else you could be working across multiple teams, providing some centralised expertise necessary for a larger program of work.
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You'll have expertise in architecture and will feel comfortable leading higher level architectural discussions.
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Using your experience of the development process, it’s likely you’ll own the overall process across a team, or multiple teams, building strong principles and putting robust methods and patterns in place.
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You will be comfortable having conversations with the client regularly, being one of the main points of engagement between the client and the project.
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Coaching and mentoring the team will be important in the role.
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Your involvement in shaping proposals (working with a bid team) will assist to create approaches or solutions, and perhaps you may also add valuable contributions during presentations to clients in a formal selection process.
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You'll play an active role in account management.
