Cloud Consultant GCP Python

Role Description (and additional job description)

As an Application Development Cloud Consultant, you will work directly with Googles most strategic

customers on critical application development and modernization projects to help them transform

their businesses. You will provide consulting, program management and technical expertise to

customers while working with client executives and key technical leaders to drive adoption of modern

application patterns and paradigms via Google’s Cloud Platform.

You will also work closely with key Google partners currently servicing top accounts to manage

programs, deliver consulting services, and provide technical guidance and best practice expertise.

You possess a broad skill set including software engineering, architecture design, distributed systems,

container technologies, and deployment strategies. To be successful, you know how to navigate

ambiguity, have extensive experience working with cloud technologies, have technical depth and enjoy

working with client executives. You also possess excellent communication and project management

skills. Travel approximately 30% of the time for client engagements.

Responsibilities

• Work with customer development leads, client executives, and partners to manage and

deliver successful, modern, cloud applications, becoming a trusted advisor to decision makers

throughout the engagement.

• Work with internal specialists, product and engineering teams to package approaches, best

practices and lessons learned into thought leadership, methodologies and published assets.

• Interact with sales, partners, and customer technical stakeholders to manage project scope,

priorities, deliverables, risks/issues, and timelines for successful client outcomes.

• Advocate for customers needs to overcome adoption blockers and drive new feature

development based on your field experience.

• Propose solution architectures and manage the deployment of cloud native application

development solutions according to complex customer requirements and implementation

best practices.

Must have skills/ Qualifications (MQs)

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical

experience) with a minimum of 7 years of experience in a technical client service, consulting,

or systems integration role launching software into production

• Ability to speak and write in English fluently to act as a primary technical point of contact for

strategic client engagements

• Experience leading client discovery sessions, stakeholder interviews, and collaborative

white-boarding to map user journeys and define system requirements

• High curiosity with the ability to rapidly master new business domains, client technical stacks,

and Google Cloud services to apply them to real-world scenarios

Engineering and Delivery Skills

• Software Engineering Core:
  Strong computer science fundamentals, algorithm design,

advanced data structures, and deep fluency in at least 1 object oriented language (Python

preferred) and Git Flow version control

• Practical experience writing unit tests (e.g., Pytest) and validating code across all staging

gates, including System Integration Testing (SIT) and User Acceptance Testing (UAT)

• Full-Stack Solution Architecture:
  Practical experience designing application backends and

frontends for performance, scalability, security, and integration with databases. Deep

knowledge of relevant design patterns, including microservices and fan-out architectures

• Distributed System Resiliency:
  Hands-on experience implementing distributed resiliency

patterns at the software and platform layer, eg circuit breakers, retries, and fallbacks

• Agentic System Orchestration:
  Mandatory knowledge of agentic workflows, including tool

development, multi-agent frameworks, MCP and API integrations for autonomous agent

architectures

• API Design & Implementation:
  Proficiency in API-led design, utilizing OpenAPI/Swagger

schemas and contracts to build and implement secure, robust application interfaces

• Containerization & CI/CD Pipelines:
  Mastery of containerization (e.g., Docker) and the

hands-on deployment, scaling, and production hosting expectations on Cloud Run and

Google Kubernetes Engine (GKE), combined with the ability to design and build custom CI/CD

pipelines

• Application Observability:
  Practical knowledge of application telemetry, including selecting

and implementing standard strategies for distributed tracing, profiling, and logging (eg

Open Telemetry)

• GCP Architect or GCP Developer Certification

Preferred good to have skills

• Agent…