01 Oct
|
OnlineSales.ai
|
Pune
01 Oct
OnlineSales.ai
Pune
About The Company:
Ara’s client offers a future-proof Retail Media Operating System - boosting Retailer’s profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune, India. With there platform, Retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS.
Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with OnlineSales.ai and are innovating ahead of the market by at least 2 years.
The Role:
We are seeking a highly skilled Staff DevOps Engineer to architect and maintain a highly available, global infrastructure capable of handling high QPS systems with 99.99% uptime. The role requires expertise in managing deployments across multiple regions, ensuring fault-tolerant systems, and driving scalability for mission-critical applications.
Key Responsibilities:
- Architect, manage, and scale Kubernetes clusters for high throughput and low latency across multiple global regions.
- Design and maintain Infrastructure as Code (IaC) to support a fault-tolerant, globally distributed architecture.
- Build and optimize CI/CD pipelines to ensure smooth, zero-downtime deployments.
- Ensure 99.99% availability for high QPS applications by implementing robust monitoring, incident management, and failover strategies.
- Manage multi-region deployments to enable low-latency, geo-redundant infrastructure.
- Collaborate with cross-functional teams to ensure security, scalability, and operational efficiency.
- Lead and mentor a high-performing DevOps team, fostering a culture of excellence and innovation.
Skills Required:
- 7–10 years of experience managing large-scale, high-availability systems.
- Proven expertise in Kubernetes administration, including multi-region deployments and scaling for high QPS.
- Deep experience with IaC tools like Terraform or CloudFormation.
- Hands-on with CI/CD pipelines for global, multi-region deployments.
- Solid understanding of cloud platforms (AWS, GCP, or Azure) and geo-redundant architecture.
- Proficient in Linux, scripting (Bash, Python), and troubleshooting large-scale distributed systems.
- Experience leading teams and solving complex, production-grade system challenges.
Qualifications & Experience:
- 6–12 years of experience managing large-scale, high-availability systems.
- Any Graduate.
📌 Sr. DevOps Engineer (Pune)
🏢 OnlineSales.ai
📍 Pune