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HawkEye 360 · 2 months ago

Principal Software Engineer - Software Applications

Herndon, VA

Full-time

Onsite

Lead/Staff

$170K/yr - $200K/yr

10+ years exp

HawkEye 360 is delivering a revolutionary source of global knowledge based on radio frequency (RF) geospatial analytics. As a Principal Software Engineer on the Software Applications team, you will architect, build, and maintain critical backend systems that support the company's mission, focusing on real-time satellite scheduling algorithms and customer management systems.

AerospaceAnalyticsArtificial Intelligence (AI)NavigationSatellite CommunicationWireless

Responsibilities

Design, implement, and maintain backend services using Spring Boot and related technologies

Develop advanced constellation scheduling algorithms that optimize for HawkEye 360’s unique RF collection needs

Design and implement scheduling workflows to facilitate real-time satellite tasking and data downlink. Collaborating closely with Ground Systems, Command & Control engineers, and stakeholders

Build robust systems for customer data management and automated data delivery workflows

Collaborate with product managers, data scientists, and satellite operations engineers to develop tailored solutions

Write clean, testable, and efficient code following best practices in software engineering

Improve system reliability, scalability, and performance through continuous optimization

Mentor junior developers and conduct code reviews to maintain a high standard of quality

Participate in Agile/Scrum ceremonies and help shape the team’s development processes

Monitor software deployments and respond to outages or feedback

Qualification

JavaSpring BootRESTful APIsMicroservicesWorkflow orchestrationRelational databasesCloud platformsContainerizationAgile/ScrumPolyglot programmingProblem-solvingCollaborationMentoring

Required

10+ years of experience in backend development, with strong expertise in Java and Spring Boot

Proven experience building scalable RESTful APIs and backend systems

Solid understanding of software architecture, microservices, and distributed systems

Experience with workflow orchestration technologies like Airflow or Argo Workflows

Experience with relational databases (e.g., PostgreSQL), caching (e.g., Redis), and message queues (e.g., Kafka, RabbitMQ)

Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and containerization (e.g., Docker, Kubernetes)

Strong problem-solving skills, especially in algorithm-heavy or data-intensive applications

Ability to work collaboratively in a fast-paced environment and take ownership of complex problems

Preferred

3+ years experience with Spring Boot. Experience with Spring Cloud dependencies. Experience with Spring Security

Experience with open-source constraint optimization or planning frameworks (e.g., for scheduling, routing, or resource allocation)

Hands on experience with Gradle, Java 21, and Gitlab Pipelines

Familiarity with AWS (Amazon Web Services) with a basic understanding of some of the following: EC2, RDS, EKS, EBS, EFS sufficient to be able to deploy applications in a cloud environment

An understanding of Virtualization versus Containerization with hands on experience with one or more of KVM, Virtual Box, Docker, Kubernetes, ISTIO

Experience with distributed architecture, cluster concepts, message brokers, information storage and retrieval (network file systems, databases, cache)

Polyglot programming and framework skills (Java, JavaScript, Python, Go, C, Spring, Spring Boot, OCI, K8S)

Experience in scheduling, optimization algorithms, or working with satellite/remote sensing data