Overview:

Solution Platform Department is a software engineering team that develops solutions using satellite data and machine learning/image processing algorithms.

• Design and develop a Large-scale satellite data processing platform including data management, Processing pipeline management with distributed processing architecture.

• Develop customer-facing analytics delivery services web-app, API, SDK.

• SaaS operation service development for Customer account, billing, Authorization, and Authentication management.

We are seeking a senior engineer to lead the design and develop new features and ensure best engineering practices in the team.

Responsibilities

• Exhibit a high standard of technical direction, design documentation, and testing for the development team.

• Collaborate with cross-functional teams to ensure the stability, scalability, and reliability of the platform and enable efficient application delivery.

• Cover the skill building backend API and platform system and system linkage and operating ops and incident response.

• Deliver multiple data products with multiple automation pipeline

• Lead the design and development of new features for the solution platform

• Bring engineering best practices and Ensuring that engineering processes are followed

Minimum Qualifications

• 3+ years of experience in developing and maintaining SaaS/PaaS as a Back end developer

• Proven coding skills in Go or Python

• Building customer-facing cloud-native systems using Docker, Kubernetes from scratch

• Experience in leading mid-large-size projects in a cross-functional team with agile methodology.

• Experience in designing and developing to ensure the stability, scalability, and reliability of application and infrastructure

• Solid understanding of CI/CD with Github, GithubAction/ArgoCD, and GCP artifacts

• Experience of designing the testing/monitoring for services.

• Experience in developing systems on GCP or AWS

Preferred Qualifications

• Experience in developing and maintaining ETL/ Data processing pipeline for ML/AI

• Experience in using workflow engines like Argo, Airflow, Kubeflow

• Experience as "tech lead" or "team lead"

  • Experience in facilitating the right conversations and settling disagreements

  • Build complex and resilient and adaptive systems and teams

• Experience in developing distributed processing with job queue and job scheduling

• Understanding of SLA and SLO and related metrics

• Experience in Service development using GIS/Map, satellite data