Workload Identity Federation jobs

AI / ML Engineer

Accenture · Posted Nov 9, 2026

Open

Mumbai, Maharashtra, India
On-site
3+ years

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AI / ML Engineer

Accenture · Posted Nov 9, 2026

Open

Mumbai, Maharashtra, India
On-site
3+ years

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Sr. Identity Engineer, Google Cloud and DevOps

Vailexa · Posted Nov 6, 2026

Open

Senior
7–10 years

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Lead identity and access protection for Google Cloud and DevOps services, owning single sign-on and federation across the platform and supporting the IAM Modernization program.

Responsibilities

Design, build, and support Google Cloud Platform infrastructure and CI/CD pipelines using Terraform and GitOps
Own single sign-on and federation across the platform, connecting the enterprise identity provider with Google Cloud and platforms
Implement Google Cloud Workload Identity and Workload Identity Federation for secure access
Manage GCP IAM roles, groups, and least-privilege access patterns
Maintain HashiCorp Vault integrations for secrets management

Requirements

Nice to have: Ping integration
Nice to have: CyberArk
Nice to have: ServiceNow
Nice to have: cert-manager
Nice to have: external-dns

Skills

Terraform gcloud CLI Google Cloud Workforce Identity Federation Google Cloud Directory Sync SAML 2.0

Technical Lead-Agentic ai

VARITE INDIA PRIVATE LIMITED · Posted Nov 4, 2026

Open

Bangalore, Karnataka, India
5–8 years

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Lead design, development, and deployment of multi‑agent systems and agentic workflows using Gemini Enterprise and related Google Cloud technologies.

Responsibilities

Design, develop, and deploy production‑grade Multi‑Agent Systems (MAS) and agentic workflows using Gemini Enterprise
Identify need for Pro Code Vs No Code design based on customer’s problem statement and data sources
Design Deploy and custom agents using the Agent Development Kit (ADK), and Agent Platform AI Reasoning Engine and integrate with Gemini Enterprise
Build and maintain automated CI/CD pipelines (e.g., Cloud Build, GitHub Actions, GitLab CI) to manage versioned agent deployments, automated testing, and continuous regression evaluations.

Requirements

Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) architectures
Nice to have: Enterprise Knowledge Graphs
Nice to have: Structured ontologies
Nice to have: Hybrid vector search systems

Skills

Python Google Gemini Agentic AI CI/CD

Technical Architect (AI & Data)

Qode · Posted Nov 3, 2026

Open

Ho Chi Minh City, Ho Chi Minh City, Vietnam
Hybrid
Full-time · Senior

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The Technical Architect plays a strategic and hands-on leadership role, driving the design, evolution, and delivery of scalable and sustainable architectures across AI and data-driven projects, transitioning the organization from a research-centric entity into a mature, production-grade delivery organization.

Compensation

13th-month salary + Performance-based bonuses.

Responsibilities

Design and evolve system architectures for AI, data, and platform components with scalability, performance, and maintainability.
Continuously assess and refactor architectures to align with changing business needs, technical innovations, and organizational maturity.
Ensure alignment with the company’s broader technical strategy and architectural standards.
Evaluate and validate maturity across DevSecOps and FinOps practices using defined checklists and KPIs.
Champion infrastructure-as-code, secure-by-design, cost-aware development, and efficient cloud resource usage.

Skills

GCP Vertex AI pipelines GKE Cloud Build Artifact Registry VPC/networking

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