HawkEye 360 (HE360) is currently seeking a Principal Application Engineer. The Application Engineer will work closely with the Hawkeye signal processing, data engineering, and platform teams to optimize application performance and reliability against cost. Cost metrics include literally AWS billing costs as well as overall life-cycle costs. The Application Engineer will utilize existing and add additional monitoring and measurement tooling as needed then influence or implement application and middle-ware changes to optimize cost while improving reliability and performance. Solutions will focus on open-source software and open standards to support portability between AWS and on-premise hardware in support of our hybrid cloud architecture.

As the Principal Application Engineer, your main responsibilities will be:

• Work with the platform team to maintain and extend metric, log, and trace solutions to support micro and macro level measurement of system and application cost, reliability, and performance.
• Work with the signal processing and data engineering teams to improve application architecture, packaging, and deployment to ensure that applications are portable to different environments and that applications are measurable and testable. Identify and prototype application or middle-ware technology changes that reduce costs while maintaining or improving performance and reliability.
• Collaborate across engineering teams to understand what is driving application performance, cost, and reliability.
• Troubleshoot and perform root cause analysis for unexpected application behaviors and outages. Educate application developers on the tooling and processes used to perform such analysis.

Your skills and qualifications:Essential education and experience:

• M.S. or B.S. in Computer Science or related engineering field or equivalent experience
• 10+ years professional experience
• Broad knowledge of Infrastructure setup, automation and troubleshooting, with specific knowledge of the Amazon Web Services (AWS) technology stack; particularly in the use of EKS, EC2, RDS, S3/EBS/EFS.
• A deep understanding of compute, networking, storage, and database concepts in both bare-metal and AWS environments. Hands on Linux and AWS experience.
• Hands on knowledge with at least one infrastructure as code tool such as Crossplane, Terraform, or Ansible.
• The ability to read and understand Java, Python, and C source code.
• Personal experience developing in at least two dissimilar programming languages. Java and Python preferred.
• Hands on experience with at least one middleware messaging system and an understanding of distributed messaging concepts. Experience with Kafka and at least one other message broker (e.g. ActiveMQ, Artemis, RabbitMQ) preferred.
• Demonstrable experience developing distributed systems. Distributed state management, distributed computing, synchronization, networking, messaging, failure recovery, distributed logging, tracing, metrics, threading, cache management, dynamic scaling.
• Hands on experience with Kubernetes preferably AWS EKS and at least one open-source bare-metal solution such as K3S. An understanding of pod and cluster scaling. An understanding of K8S deployment models, resource specification, scheduling, ingress and service. An understanding of secrets management, An understanding of K8S storage concepts, PVCs, etc.
• A deep understanding of container technology. Hands on experience with building and deploying containers locally and into a Kubernetes environment.
• Comforatable using a Linux laptop as your primary developer machine.
• Excellent written and oral communication skills

• Work with the platform team to maintain and extend metric, log, and trace solutions to support micro and macro level measurement of system and application cost, reliability, and performance.
• Work with the signal processing and data engineering teams to improve application architecture, packaging, and deployment to ensure that applications are portable to different environments and that applications are measurable and testable. Identify and prototype application or middle-ware technology changes that reduce costs while maintaining or improving performance and reliability.
• Collaborate across engineering teams to understand what is driving application performance, cost, and reliability.
• Troubleshoot and perform root cause analysis for unexpected application behaviors and outages. Educate application developers on the tooling and processes used to perform such analysis