Full-Stack Engineer

About the job
CloudAEye is recognized as "Top 10 Startups in AI" by AngelList. TechCrunch named us one of the Top AI Startup Battlefield companies. StartupGrind called us "an exciting AI startup that’s pioneering the integration of artificial intelligence into cloud operations".

CloudAEye’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. For example, see Kosal.
• 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 (2+ years) experience developing and deploying Cloud services for a large scale software project on public clouds (AWS, GCP, Azure)
• Has hands-on experience building multi-tenant SaaS solutions on public clouds (AWS)
• Strong experience with React, Redux, TypeScript, NodeJS, 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, CloudFormation)
• 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

Nice to have

• Experience with Prometheus, Grafana, ELK, Jaeger, Kafka, etc.
• AWS certification
• Experience with machine-learning (ML), MLOps
• Experience working remotely in a distributed team
• Startup experience

Location
Remote - India, Bangladesh, Japan, China, Czech Republic, Poland, Romania, Hungary, Austria

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.