GCP Platform Lead, NY

West MonroeNew York, NY
1d$175,000 - $205,900

About The Position

West Monroe is seeking an experienced GCP Platform Lead with a strong background in Agentic AI, Software Engineering, and Google Cloud Platform (GCP) services to drive the design, delivery, and management of scalable, AI-enabled platforms in New York City. This role will oversee end-to-end platform engineering, lead the CREATe process (Collaborative Requirements Engineering and Agile Testing), and ensure seamless coordination with stakeholders to ensure timely and high-quality progress of deliverables.

Requirements

  • Google Cloud Platform (GCP): Strong experience with core GCP services (e.g., Compute Engine, BigQuery, Cloud Functions, AI/ML APIs, Kubernetes Engine)
  • Google Cloud Platform (GCP): Strong experience with IAM, security & compliance services (e.g., cloud armor) as it relates to landing zone patterns & scaling projects & services.
  • Agentic AI: Deep understanding of AI systems with autonomous and adaptive capabilities, including their design, training, and deployment.
  • Software Engineering: Proficiency in modern programming languages (e.g., Python, Java, Go) and frameworks for scalable application development.
  • DevOps & CI/CD: Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Cloud Build).
  • Data Engineering: Familiarity with data pipelines, ETL processes, and real-time data streaming on GCP.
  • Proven experience in leading platform design and delivery for enterprise-scale systems.
  • Strong understanding of Agile methodologies and experience managing iterative delivery processes.
  • Exceptional communication and stakeholder management skills, with the ability to translate technical concepts into business value.
  • Experience managing cross-functional teams and ensuring alignment across technical and business stakeholders.

Nice To Haves

  • Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer, or Professional Machine Learning Engineer).
  • Experience with MLOps and AI/ML lifecycle management on GCP.
  • Familiarity with ethical AI practices and governance frameworks.
  • Prior experience in leading CREATe or similar collaborative engineering/enterprise architecture processes.

Responsibilities

  • Lead the architecture, design, and implementation of scalable, secure, and reliable platforms on Google Cloud Platform (GCP) to support AI-driven applications.
  • Partner with existing teams focused on the data platform and foundation layer to ensure integration patterns and scalable architecture decisions.
  • Drive the integration of Agentic AI technologies into platform solutions to enable adaptive, autonomous, and intelligent systems.
  • Collaborate with engineering teams to ensure adherence to best practices in software development, DevOps, and cloud-native design.
  • Develop and maintain platform roadmaps, ensuring alignment with business objectives and emerging technologies.
  • Oversee the Collaborative Requirements Engineering and Agile Testing (CREATe) process to ensure effective and efficient requirements gathering, testing, and delivery.
  • Facilitate cross-functional workshops to define platform requirements and align on delivery priorities.
  • Establish clear processes for iterative development, testing, and feedback to ensure quality outcomes.
  • Act as the primary liaison between technical teams, business stakeholders, and leadership to align on priorities and expectations.
  • Lead project planning and delivery timelines, ensuring milestones are met and blockers are addressed promptly.
  • Provide regular updates to stakeholders on progress, risks, and mitigation strategies.
  • Foster collaboration across teams, ensuring alignment on goals and deliverables.
  • Stay up-to-date with advancements in Agentic AI, GCP services, and software engineering practices to drive innovation.
  • Mentor and guide engineering teams on best practices in AI, cloud architecture, and software development.
  • Promote a culture of continuous improvement, leveraging feedback to optimize platform performance and delivery processes.

Benefits

  • Employees (and their families) are covered by medical, dental, vision, and basic life insurance.
  • Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses.
  • Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year.
  • Eligibility for ten weeks of paid parental leave will also be available upon hire date.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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