DevOps Architect

Impact Analytics • Bash • Python • 22 min ago

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Salary

≈ $34k – $81k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Architect · 14+ years exp

Overview

Company

Impact

Profile match

Impact Analytics

Impact Analytics is an AI-native SaaS and consulting company that uses predictive analytics and data-driven insights through an integrated platform for planning, forecasting, merchandising, pricing, and promotions.

impactanalytics.ai • Bengaluru • Delhi • Retail & Shop Systems • Artificial Intelligence • Predictive Analytics • Est. 2015

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.

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 and 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 and 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, and FinOps: Drive Zero Trust architecture, HashiCorp Vault secrets management, vulnerability monitoring (Trivy/Snyk), SOC 2/ISO compliance, and FinOps cloud cost optimization.
Observability and Leadership: Establish full-stack telemetry (Prometheus, Grafana, Datadog) to enforce high availability SLAs and low MTTR while mentoring engineers across DevOps and SRE domains.

Requirements:

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 and Containers: Mastery of Terraform, Pulumi, Docker, Kubernetes (EKS/AKS), Helm, and Service Mesh.
Automation and CI/CD: Advanced hands-on experience with GitHub Actions, GitLab CI, ArgoCD, Python, Go, or Bash.
MLOps and 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.

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