**About the job**
CloudAEye is recognized as "[Top 10 Startups in
AI](https://wellfound.com/10-of-10-in-2022#ai)" by AngelList. TechCrunch named
us one of the [top AI Startup
Battlefield](https://techcrunch.com/2023/08/24/introducing-the-startup-
battlefield-200-companies-at-techcrunch-disrupt-2023/) companies. CloudAEye’s
mission is to enable customers achieve their business objectives by providing
them with AIOps solution. An AIOps platform combines big data and machine
learning 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 a senior engineer to develop Cloud services and
infrastructure components for our SaaS (Software as a Service). You will be
responsible for the infrastructure/messaging/services components that powers
our SaaS platform running on a public cloud.
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
* User and tenant management leveraging cloud identity solutions
* Infrastructure as Code based provisioning of cloud services
* Designing REST APIs for backend services
* Handle cross-cutting microservices concerns such as externalizing configuration, logging, health checks, metrics, distributed tracing
* Adding reliability patterns such as circuit breaker
* Adding data management patterns such as API composition, CQRS, Saga, etc.
* Delivering AI/ML enabled cloud services (similar to AWS/GCP/Azure Cloud services)
* Build monitoring systems for deployed services and streamline incident response process
* Work with customers, partners, and business leaders to architect solutions for Cloud Operations
**We’re looking for someone who**
* Has significant (8+ 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 NodeJS, ReactJS, Python, Java or GO
* 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)
* Experience with Prometheus, Grafana, ELK, Jaeger, etc.
* 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**
* AWS Solutions Architect 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, Czech Republic, Bangladesh, Poland, Ukraine, 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.
CloudAEye focuses on SaaS, B2B, and Artificial Intelligence / Machine
Learning. Their company has offices in San Francisco Bay Area and California.
They have a small team that's between 1-10 employees. To date, CloudAEye has
raised $500k of funding; their latest round was closed on November 2020.
You can view their website at <https://www.cloudaeye.com/> or find them on
[Twitter](https://twitter.com/cloudaeye_inc),
[Facebook](https://www.facebook.com/cloudaeye), and
[LinkedIn](https://www.linkedin.com/company/cloudaeye/).
