DevOps Architect
Impact Analytics · Bengaluru · onsite · Posted 7d ago
Undisclosed12–15 yrsfulltimeSourced from
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About this role
Job Summary
Key Responsibilities
Qualifications (Technical Stack)
What We Offer
Some of Our Accolades Include
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.
As the DevOps Architect, you will lead the architecture, automation, and continuous optimization of our enterprise Google 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
- GCP Infrastructure Architecture: Design, deploy, and maintain highly resilient, scalable Google Cloud Platform (GCP) infrastructure using Infrastructure as Code (Terraform, Pulumi, Ansible).
- CI/CD Automated Delivery: Architect scalable CI/CD pipelines (GitHub Actions, Cloud Build, 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 on Google Kubernetes Engine (GKE), Anthos / Service Mesh architecture, 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 across GCP environments.
- Observability Reliability Engineering: Establish full-stack telemetry (Google Cloud Operations Suite / Stackdriver, Prometheus, Grafana, Datadog) to enforce high-availability SLAs, proactive alerting, and low MTTR.
- Technical Leadership Governance: Mentor engineers across DevOps and SRE domains, foster a culture of continuous automation, and align infrastructure strategy with product roadmaps.
Qualifications (Technical Stack)
- 12-15 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 hands-on proficiency strictly centered on Google Cloud Platform (GCP). Expertise across core GCP services including GKE, Cloud Run, Compute Engine, BigQuery, IAM, Artifact Registry, and Vertex AI infrastructure support.
- IaC Containers: Mastery of Terraform, Pulumi, Docker, Google Kubernetes Engine (GKE), Helm, and Service Mesh.
- Automation MLOps: Advanced hands-on experience with GitHub Actions, ArgoCD, Python, Go, or Bash, alongside supporting distributed compute engines and pipelines (Spark, Cloud Composer / Airflow).
- Mandatory Certifications: Google Cloud Certified Professional Cloud Architect and/or Google Cloud Certified Professional DevOps Engineer.
What We Offer
- An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
- A flat, collegial work environment, with a work hard, play hard attitude.
- A platform for rapid growth if you are willing to try new things without fear of failure.
- Remuneration with best-in-class industry standards with generous health insurance cover.
Some of Our Accolades Include
- Ranked as one of Americas Fastest-Growing Companies by Financial Times for five consecutive years.
- Ranked as one of Americas Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years.
- Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
- Ranked #72 in America's Most Innovative Companies list in 2023 -by Fortune -alongside companies like Microsoft, Tesla, Apple, IBM, etc.
- Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
- Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
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.
Sourced from naukri
Skills
AutomationBashCI/CD Pipelinescloud platformsapache airflowbigqueryArgoCDCloud ComposerAnalyticsCloud Cost OptimizationGoogle Cloud RunCloud InfrastructurecloudArchitecturecomplianceGoogle ComposerCloud ArchitectureAnsibleArtificial Intelligence
About Impact Analytics
Impact Analytics
IT Services & Consulting
350
employees
2015
11 years old
Linthicum, Maryland
United States (USA)
About
Impact Analytics turns data into actionable insights that drive bottom-line growth. Leverage intelligent Automation to drive ROI with our AI-driven SaaS solutions.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
213 reviews
3.9/ 5
Culture
3.8
Career growth
3.5
Work-life
3.6
Employees rate it well for
Work Culture14Work Life Balance13Senior Management10Team Members9Salary8
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