Multicloud DevOps Lead — Azure & Automation

Astreya; Santa Clara, Northern (CA, KY); Hybrid; USD 132,000 - 209,000; Full time

Benefits offered by this job

Medical, dental, vision

401k plan

Tuition reimbursement

Wellness program

Paid time off

Job summary

Astreya is seeking a DevOps Engineer in Santa Clara, CA for an on‑site full‑time role. You will lead DevOps teams, collaborate with data professionals, and implement scalable cloud and analytics infrastructure across Azure and GCP.

You will develop automation, CI/CD pipelines, and real‑time data solutions, while driving reliability, performance, and process improvements across multi‑OS environments.

Qualifications

• Bachelor’s degree from four‑year college or university and 8+ years’ related experience or equivalent

Responsibilities

• Lead and mentor other DevOps Engineers and cross functional teams
• Work with data analysts, product owners and data scientists to understand requirements and bottlenecks
• Build batch/real time analytical solutions leveraging transformational technologies
• Provide technical engineering on various technologies
• Design and implement solutions to improve support processes and tools
• Support development and management infrastructure and integrate all systems
• Write automation code and build tools for provisioning and operating development infrastructure on multi OS environments
• Improve scalability, service reliability, capacity, and performance of Cloud and Hadoop Infrastructure
• Prepare root cause analyses for outages
• Document and follow RMA processes for vendors
• Triage tickets and perform first‑line troubleshooting
• Document tasks and actions to final resolution
• Other duties as required

Skills

Azure Cloud

GCP

Automation

Powershell

Python

CI/CD

GitHub

Big data infra

Open‑source tools

Data lake

Team mentoring

Education

Bachelor's degree

Tools

Azure Automation

CI/CD tooling

Python scripting

Job description

Astreya is seeking a DevOps Engineer in Santa Clara, CA for an on‑site full‑time role. You will lead DevOps teams, collaborate with data professionals, and implement scalable cloud and analytics infrastructure across Azure and GCP.

You will develop automation, CI/CD pipelines, and real‑time data solutions, while driving reliability, performance, and process improvements across multi‑OS environments.