Job Description

Overview
We are looking for a software engineer who is driven to build and maintain large-scale backend services, and API. You would be responsible for the systems design, development, and delivery ArcGIS Image Dedicated services that helps users to host and process imagery at scale. This includes designing flexible, extensible systems that have a great developer experience, fast and reliable performance, and robust operations with high-availability and monitoring.
Responsibilities

• Work with developers, technical architects, and business analysts to implement and configure enterprise systems and technologies to meet user expectations and business objectives
• Manage infrastructure and process workflows various projects on day-today basis
• Operate microservices that support infrastructure, monitoring, and management functions
• Manage continuous integration software build systems
• Utilize Docker and Kubernetes to allow dynamic and reliable application development and deployment
• Respond to alerts; troubleshoot problems
• Help develop and extend Various Imagery Implementation
• Identify process bottlenecks and implement solutions to address these

• 2+ years of experience managing Kubernetes (AKS, EKS, GKE), logging and monitoring (ELK, Prometheus), and container technologies (Docker)
• Experience with CLI tools or backend service development, particularly in Python
• Continuous integration, continuous deployment, Git, Jenkins
• Ability to clearly analyze and describe problems, and propose solutions
• Ability to work closely with software developers, product engineers, and documentation writers to build quality software in a constantly evolving agile environment
• Excellent written and verbal communication skills
• Ability to work in a fast-paced and challenging environment
• Bachelor's degree in computer science or related field

• Strong experience working with the following:

• Various Cloud system (AWS, Azure, Google)
• Docker, Kubernetes
• Python
• Understanding of large, high performance, highly scalable, highly resilient cloud-based architectures including replication/failover, distributed architectures, caches, auto scaling, rate limiting, and security
• Prior experience with software development and release of commercial software