WebOps Architect (AI-Augmented) (India)

WebOps Architect (AI-Augmented) (India)

18 Aug
|
Onsumaye
|
India

18 Aug

Onsumaye

India

At OnSumaye, we don’t just hire employees—we seek visionaries, problem-solvers, and innovators who thrive in a fast-paced, AI-driven, and digital-first world. If you’re someone who loves challenges, embraces innovation, and is eager to push boundaries in web development, AI platforms, and digital transformation, you’ll fit right in.

We are a team of bold thinkers and doers who believe in constant growth, cutting-edge technology, and impactful solutions. Our work environment is agile, fast-moving, and designed for those who want to make a real difference.

If you’re looking for a place where you can elevate your skills, challenge the status quo, and be part of a company that values forward-thinking talent—OnSumaye is the place for you.

Why Work With Us?

01

Innovative Projects

Work on cutting-edge technologies and scalable digital solutions.

02

Collaborative Culture

A supportive, open, and diverse workplace where ideas matter.

03

Career Growth

Continuous learning, mentorship, and opportunities to expand your skills.

04

Flexible Work Environment

We value work-life balance and professional development.

WebOps Architect (AI-Augmented)

About the Role

We are seeking a WebOps Architect who goes beyond traditional DevOps/WebOps practices. This individual will leverage AI-driven productivity tools to deliver 5x efficiency, scalability, and quality over conventional approaches. The role focuses on designing, automating, and managing cloud-native infrastructure to support highly available SaaS products.

Key Responsibilities

- Cloud Infrastructure Design & Optimization

- Architect and manage scalable, secure, and cost-efficient cloud environments (AWS, Azure, GCP).

- Implement AI-assisted infrastructure-as-code practices (Terraform, Pulumi).





- Automation & CI/CD Excellence

- Design intelligent CI/CD pipelines with automated testing, deployment, and rollback.

- AI-based anomaly detection for build failures, performance bottlenecks, and security alerts.

- Containerization & Orchestration

- Manage Kubernetes clusters with auto-scaling, service mesh, and AI-based workload optimization.

Ensure high availability (
- 99.95%) for customer-facing systems.

- Monitoring & Reliability Engineering

- Implement observability with Prometheus, Grafana, ELK/EFK, and AI-based predictive alerting.

- Proactively identify performance issues using AIOps and auto-remediation scripts.

- AI-Enhanced Productivity & Tools

- Use AI copilots (GitHub Copilot, OpenAI, etc.) for code reviews, incident response, and troubleshooting.

- Develop AI-driven dashboards for real-time system health, cost insights, and SLA tracking.

Required Skills

- Proven expertise in WebOps / DevOps and cloud-native architecture.
- Strong hands-on experience with AWS/Azure/GCP, Kubernetes, Terraform, Docker, CI/CD (Jenkins/GitLab/GitHub Actions).
- Knowledge of AIOps, MLOps, and AI-driven automation frameworks.
- Excellent understanding of site reliability engineering (SRE) practices.
- Strong problem-solving, debugging, and systems thinking abilities.

Preferred Qualifications

- Bachelor’s/Master’s in Computer Science, IT, or related field.
- Certifications in cloud (AWS/Azure/GCP Architect) and Kubernetes (CKA/CKAD) preferred.
- Exposure to AI productivity tools and automation frameworks is mandatory.

Success Metrics

- - 99.95% uptime for critical systems.

- 30–40% reduction in cloud infrastructure cost via optimization & AI-based scaling.
- 25% faster CI/CD release cycle using intelligent automation.
SLA adherence
- 98% across environments.

📌 WebOps Architect (AI-Augmented) (India)
🏢 Onsumaye
📍 India

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