- Design and develop a geo-spatial solution as a service (SaaS) ensuring scalability, reliability, and security
- Design and develop data management and analysis platform to manage data sources and apply machine learning models
- Develop a monitoring mechanism for our solutions and ensure reliability and performance
- Motivated to define self-goals and take actions to achieve the goals
Minimum qualifications
- 3+ years of experience as a SRE/DevOps
- Building customer-facing cloud-native systems on GCP or AWS using Kubernetes from scratch
- Experience of Infrastructure as a code using Terraform from scratch (or deployment manager/cloud formation)
- Very strong coding skills in Python
- Experience in using monitoring tools like Datadog, Stackdriver, Sentry
- Experience in designing and developing microservice architecture SaaS or PaaS
Preferred qualifications
- Experience in deploying and managing deep learning/ML based solutions
- Experience in using MapServer, ArcGIS, Leaflet, Openlayers, Google Maps
- Understanding of SaaS/PaaS solution and business
- Experience in working with a crossfunctional team with agile methodology
- Strong coding skills in Go
