AI Platform & DevSecops Engineer (Bengaluru)

AI Platform & DevSecops Engineer (Bengaluru)

31 Jul
|
Trianz
|
Bengaluru

31 Jul

Trianz

Bengaluru

Company Overview

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
- Implement DevSecOps pipeline gates: container image scanning, IaC scanning, secrets detection, network policy enforcement
- 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
- Automate OpenShift operator deployments for on-premises environments
- 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 quick 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.

📌 AI Platform & DevSecops Engineer (Bengaluru)
🏢 Trianz
📍 Bengaluru

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