CloudAEye Inc
https://cloudaeye.comAbout
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NodeJS (Node.js)
React.js
Amazon Web Services (AWS)
KubernetesCloudAEye’s mission is to enable customers achieve their business objectives by providing them with AIOps solution. An AIOps platform combines big data and artificial intelligence functionality to support primary IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data generated by IT.
We are looking for an engineer to develop Cloud services, user-interface and infrastructure components for our SaaS (Software as a Service).
We encourage all engineers to take ownership over technical and product decisions, closely interact with customers to collect feedback, and contribute to a thoughtful, fair and inclusive team culture.
At CloudAEye, you will
- Work on world-class solutions to deliver industry's leading Cloud operations management
- Develop system architecture, design and build platform services for scalable, resilient, multi-tenant Cloud SaaS. Examples of work include:
- Writing microservices based distributed applications
- Designing REST APIs for backend services
- Develop user-interface for our SaaS
- Handle cross-cutting microservices concerns such as externalizing configuration, logging, health checks, metrics, distributed tracing
- Work with customers, partners, and business leaders to architect solutions for Cloud Operations
We’re looking for someone who
- Has significant (3+ years) experience developing and deploying Cloud services for a large scale software projects on public clouds (AWS, GCP, Azure)
- Has hands-on experience building multi-tenant SaaS solutions on public clouds (AWS)
- Strong experience with React, NodeJS, Java, GO, Python
- Has expertise with microservices, infrastructure as code (IaC), continuous integration/delivery (CI/CD), etc.
- Has experience working with containerization, cluster orchestration, or infrastructure management frameworks (such as Kubernetes, Docker, Terraform)
- Basic knowledge of AWS security (IAM, Cognito)
- Knowledge of good engineering practices and agile culture
- Takes initiative in a fast-paced environment
- 100% hands-on and loves to code
- Experience with Prometheus, Grafana, ELK, Jaeger, etc.
- AWS certification
- Experience with machine-learning (ML), MLOps
- Experience with Apache Flink, Spark, Hadoop, or other
- Experience working remotely in a distributed team
- Startup experience
Location
Remote - India
About us
We are a pre-seed startup based in Bay Area, California. This is a great opportunity to join an AI/ML startup at the ground floor level. Our founding team consists of members with executive MBA from the University of Michigan Ross School of Business. We have assembled core team with backgrounds in AI/ML, Cloud, DevOps, B2B, SaaS, startups, and executive leadership in Fortune 500 companies.
CloudAEye is an equal opportunity employer. Our team comes from diverse background and we actively embrace and celebrate diversity and inclusion in our culture. We seek team members with moral courage and instincts to lead. We encourage all members to take ownership over decisions, be bold, focus on impact and contribute to a thoughtful, dynamic team culture.
We offer flexible working environment, an opportunity to work in a close knit group, work in a high performance team culture, opportunity to learn from talented individuals and domain experts from the industry, and an equity and compensation package that is competitive.
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We started with a simple question: w̲h̲a̲t̲ i̲f̲ y̲o̲u̲r̲ t̲e̲a̲m̲ c̲o̲u̲l̲d̲ f̲o̲c̲u̲s̲ o̲n̲ w̲h̲a̲t̲ t̲h̲e̲y̲ l̲o̲v̲e̲ m̲o̲s̲t̲?̲
𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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