GCP Architect

We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.

With a global network of FTSE 100 and Fortune 500 clients, we’ll offer you unrivalled opportunities for growth and the freedom to excel. Combining strategies, technologies and innovation, we turn complexity to opportunity and deliver enduring results, enabling you to build a lasting career.

Isn’t it time you joined us?

Do you find yourself frustrated working with legacy technology or processes; constantly finding the need to innovate new and fit-for-purpose solutions? These are the problems our clients ask us to solve. You'll also need to be a pragmatist, to understand the design constraints of projects and get the job done.

As a technical lead, you may operate solo or within a team, where you and your teammates are responsible for successful delivery of a project release using an agile methodology. We put a lot of trust in you and your team to meet deadlines, and to find the rhythm and ways of working that suits our clients. You get ownership and control of the processes for taking your code into production.

Our teams have a mix of technology skills and work collaboratively, following Dev Ops (we emphasise the Dev in Dev Ops) and Test Automation practices. We also need you to contribute to developing the team, perhaps by sharing your expertise or mentoring teammates.

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 Dev Ops 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:
Big Query, Spanner, Dataflow, Composer, Bigtable or Cloud

SQL.

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:

• Defining architectural and software design patterns.
• Designing for scalability, high availability and disaster recovery requirements.
• Secure development and architectural practices, as well as knowledge of non‑functional considerations.
• Working alongside others in the team to develop, design, elaborate user stories and deliver estimates during story pointing.
• TDD and/or BDD approaches, considering outcome wledge of test automation.
• Developing code and pipelines using CI/CD tools.
• Using tools such as JIRA for tracking progress and traceability.
• Reviewing code with your teammates to provide assurance on a release.
• Resolving root cause analysis and troubleshooting solutions.
• Using fundamental tools and languages
  
  E.g. Google Cloud SDK, SQL, Linux, Power Shell, Shell Scripting, HTML and CSS.
• Different types of database, e.g. Google Cloud Spanner, Firestore, Bigtable and Big Query, as well as Mongo
  
  DB, MySQL, Flink, Cassandra, SQL Server, Postgres. Developing schema for supporting business logic and data.
• Microservices architecture, including containers and serverless implementation.
  
  E.g. Kubernetes, Docker, Open Shift, AWS Lambda, Cloud Functions (GCP).
• Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI.

PA’s common technology…