GCP Architect - DevOps

Responsibilities:

Lead and mentor a small team of DevOps, MLOps, and cloud engineers; promote high performance, knowledge sharing, and continuous learning.

Architect and maintain scalable GCP infrastructure for AI agentic workloads (Vertex AI, GKE, Cloud Run, Cloud Functions, Artefact Registry, etc. )

Own DevOps and MLOps pipelines, including:

CI/CD with Google Cloud Build (primary) and integration/experience with Jenkins for hybrid/legacy workflows.

Artefact management using Artefact Registry (primary) with exposure to Nexus Repository for proxying or migration scenarios.

IaC (Terraform preferred), container orchestration, and Python scripting/automation for custom tooling, Glue jobs, or pipeline extensions.

Lead API endpoint security strategy, leveraging the following:

Apigee for enterprise-grade API management, policy enforcement, quotas, monetisation (if applicable), advanced security, and analytics.

Complementary GCP-native tools: Identity-Aware Proxy (IAP), Cloud Armour (WAF/DDoS), IAM least-privilege, OAuth 2.0/JWT/mTLS, Secret Manager, and VPC Service Controls.

Zero-trust/BeyondCorp principles and threat protection for AI agent communications and customer-facing APIs.

Champion FinOps practices on GCP:

Implement cost monitoring (Cloud Billing, FinOps Hub), optimisation recommendations (Recommender, Active Assist), commitment-based discounts (CUDs), budget alerts, and idle resource cleanup.

Drive cost allocation, forecasting, and cross-team accountability for high-cost AI workloads (e. g., model training/inference).

Collaborate with AI/ML engineers to productionise agentic workflows with secure, governed access to models/data.

Ensure high observability (Cloud Operations Suite, Prometheus/Grafana), resilience, and SRE practices (incident response and post-mortems).

Establish cloud governance, compliance, and disaster recovery aligned with business needs.

Requirements:

8+ years in DevOps, cloud engineering, or infrastructure roles, with 4+ years of deep hands-on Google Cloud Platform (GCP).

Proven people leadership (5+ reports) in agile/fast-paced environments.

Strong expertise securing APIs/services on GCP, preferably with Apigee (enterprise API management, policies, and analytics) alongside IAP, Cloud Armour, IAM, and mTLS.

Hands-on experience with:

CI/CD: Google Cloud Build + integration with Jenkins.

Artefact management: Artefact Registry + familiarity with Nexus Repository.

GKE/Cloud Run, monitoring/logging.

Python for automation, scripting, and tooling in DevOps/MLOps contexts.

Solid understanding of networking (VPC and Private Service Connect), security, and compliance.

Experience with AI/ML platforms (Vertex AI, Agent Builder) and MLOps for agentic systems is highly desirable.

Preferred Skills:

Google Cloud certifications: Professional DevOps Engineer, Cloud Architect, Cloud Security Engineer (Apigee-related knowledge is a plus).

FinOps experience or certification.

Familiarity with GCP FinOps Hub, Recommender, and commitment management.

Exposure to agentic AI patterns (multi-agent orchestration, RAG) and their infra requirements.

Experience in high-security or regulated environments.