AI Platform & DevSecops Engineer

Trianz; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Trianz is seeking a Senior AI Platform Architect in Bengaluru to accelerate AI deployments. You will design and run CI/CD pipelines for model releases, provision GPU/CPU compute across clouds and on‑premises, and ensure deployments are security‑scanned and quality‑gated.

This is a hands‑on IC role: Terraform or Pulumi IaC, Kubernetes/OpenShift deployments, GPU provisioning, monitoring, and blue/green rollouts.

Qualifications

• Built CI/CD pipelines shipping AI/ML models to production.
• Production-scale Terraform or Pulumi across two clouds.
• Provisioned GPU nodes in Kubernetes with NVIDIA plugin.
• DevSecOps tooling in practice: Trivy, Checkov, Vault, OPA.
• Linux scripting for production-grade automation.
• OpenShift operator deployment in on‑prem environments.
• 4+ years in DevOps with AI/ML platform context.

Responsibilities

• Build CI/CD pipelines for LLM model releases.
• Write IaC for GPU/CPU node provisioning across AWS, Azure, GCP, and on‑prem OpenShift.
• Build self-service deployment automation for AI serving environments.
• Manage GPU node provisioning: CUDA driver, node labeling, GPU resource allocation in Kubernetes.
• Build monitoring/alerting for serving infrastructure: latency, throughput, errors, GPU utilization.
• Implement blue-green deployment and automated rollback for model releases.

Skills

CI/CD pipelines

Terraform

Pulumi

Kubernetes

OpenShift

Linux scripting

DevSecOps tooling

Tools

Terraform

Pulumi

Kubernetes

OpenShift

Trivy

Checkov

Vault

OPA

Job description

Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.

With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.

We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.

Role Overview

You execute the AI platform architecture designed by the Principal AI Architect. Your primary metric is deployment speed and reliability — taking AI system deployments from hours to minutes through automation, pipeline engineering, and self-service tooling. You build the CI/CD pipelines for model releases, provision GPU and CPU compute across multiple clouds and on-premises environments, and ensure every deployment is security-scanned and quality-gated. Fully hands-on, no coordination work.

Key Responsibilities

• Build CI/CD pipelines for LLM model releases: version control, staged rollout, automated rollback
• Write infrastructure-as-code (Terraform or Pulumi) for GPU and CPU node provisioning across AWS, Azure, GCP, and on-premises OpenShift
• Build self-service deployment automation — scripts that spin up a complete AI serving environment in minutes
• Manage GPU node provisioning: CUDA driver management, node labelling, GPU resource allocation in Kubernetes
• Build monitoring and alerting for serving infrastructure: model latency, throughput, error rates, GPU utilisation
• Implement blue-green deployment and automated rollback for model releases

Ideal Candidate Experience

Exp: 7+ years

Must Have

• Built CI/CD pipelines that shipped AI or ML models to production — not just application code
• Hands-on with Terraform or Pulumi at production scale across at least two cloud providers
• Provisioned GPU nodes in Kubernetes: NVIDIA device plugin, node selectors, resource limits
• DevSecOps tooling in practice: Trivy, Checkov, Vault, OPA, or equivalent
• Linux scripting (Bash/Python) — production-grade automation without supervision
• Experience with RedHat OpenShift operator deployment in on-premises environments
• 4+ years in DevOps with at least 2 years in an AI or ML platform context

Nice To Have

• NVIDIA MIG partitioning for multi-tenant inference
• Helm chart authoring for ML serving workloads
• GitOps tools: ArgoCD or Flux
• GPU compute cost optimisation: spot instances, reserved capacity, rightsizing

Why Join Trianz?

Architectural Impact: Own the complete private AI infrastructure for Fortune 500 enterprises. Your decisions influence how LLMs run in the most security-conscious, regulated environments globally.

Technical Excellence: Work with cutting-edge inference frameworks, open-source models, and heterogeneous hardware. Design systems that work across AWS, Azure, GCP, on-prem, and air-gapped environments — not just API consumption.

Sovereign AI Leadership: Lead the charge in sovereign AI deployment. Help enterprises reclaim control of their AI infrastructure while maintaining the flexibility to scale globally.

Zero Bureaucracy: Pure IC role with architectural authority. No slow approval cycles — your design decisions move fast into production.

Enterprise Scale: Work on transformations across Fortune 500 organizations. See your architecture deployed across continents, industries, and mission-critical use cases.

Growth Through Ambiguity: Thrive in the emerging sovereign AI space where problems are complex, standards are evolving, and your expertise will define the industry.