Devops Architect

Job Summary

Impact Analytics is an agentic-first AI software company transforming retail merchandising and enterprise supply chain planning through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising and supply chain solutions and foundational AI agents that are redefining how enterprise decisions are made. What makes Impact Analytics unique is its combination of deep domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000. For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career.

As the DevOps Architect, you will lead the architecture, automation, and continuous optimization of our enterprise cloud infrastructure. You will define our global DevOps strategy, enforce Zero Trust security standards, design resilient CI/CD frameworks, and ensure high-performance execution for our agentic AI engines and multi-tenant SaaS platforms across Fortune 500 deployments.

Key Responsibilities

• Cloud Infrastructure Architecture: Design, deploy, and maintain highly resilient, scalable multi-cloud infrastructure (AWS/Azure) using Infrastructure as Code (Terraform, Pulumi, Ansible).
• CI/CD Automated Delivery: Architect scalable CI/CD pipelines (GitHub Actions, ArgoCD) for zero-downtime deployment of microservices, distributed data streams, and AI/ML model execution pipelines.
• Kubernetes Container Orchestration: Lead enterprise multi-cluster Kubernetes deployments (EKS/AKS), service mesh architecture (Istio/Linkerd), and container security for high-throughput enterprise workloads.
• Security, Compliance FinOps: Drive Zero Trust architecture, HashiCorp Vault secrets management, vulnerability monitoring (Trivy/Snyk), SOC 2/ISO compliance, and FinOps cloud cost optimization.
• Observability Reliability Engineering: Establish full-stack telemetry (Prometheus, Grafana, Datadog) to enforce high availability SLAs, proactive alerting, and low MTTR across distributed environments.
• Technical Leadership Governance: Mentor engineers across DevOps and SRE domains, foster a culture of continuous automation, and align infrastructure strategy with product roadmaps.

Qualifications

• 10-14+ years of progressive experience in DevOps, Cloud Architecture, and Systems Engineering supporting high-scale enterprise SaaS or AI/ML product environments.
• Cloud Platforms: Deep expert-level proficiency with AWS and Azure cloud architectures.
• IaC Containers: Mastery of Terraform, Pulumi, Docker, Kubernetes (EKS/AKS), Helm, and Service Mesh.
• Automation CI/CD: Advanced hands-on experience with GitHub Actions, GitLab CI, ArgoCD, Python, Go, or Bash.
• MLOps Data Pipeline Familiarity: Proven background supporting distributed compute engines, GPU workloads, or batch processing pipelines (Spark, Airflow).
• Certifications: AWS Certified DevOps Engineer - Professional or Azure DevOps Engineer Expert preferred.

Required Skills

• Kubernetes
• aws
• Continuous Integration/Continuous Deployment (CI/CD)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.