TalentRemedy
This range is provided by TalentRemedy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Direct message the job poster from TalentRemedy
Base pay range $150,000.00/yr - $180,000.00/yr
As a
Senior Software Engineer , you will help architect, build, and maintain critical backend systems. You will design and implement scalable solutions for real-time satellite scheduling algorithms, customer management systems, and data delivery platforms. This is a high-impact role where your contributions will directly affect our operational efficiency and customer success.
Responsibilities
Design, implement, and maintain backend services using Spring Boot and related technologies.
Develop advanced constellation scheduling algorithms that optimize our 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.
Your skills and qualifications
6+ 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.
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).
Experience in scheduling, optimization algorithms, or working with satellite/remote sensing data.
Base Salary Range $150,000 - $180,000 annually
Seniority level Mid-Senior level
Employment type Full-time
Job function Defense and Space Manufacturing and Space Research and Technology
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Direct message the job poster from TalentRemedy
Base pay range $150,000.00/yr - $180,000.00/yr
As a
Senior Software Engineer , you will help architect, build, and maintain critical backend systems. You will design and implement scalable solutions for real-time satellite scheduling algorithms, customer management systems, and data delivery platforms. This is a high-impact role where your contributions will directly affect our operational efficiency and customer success.
Responsibilities
Design, implement, and maintain backend services using Spring Boot and related technologies.
Develop advanced constellation scheduling algorithms that optimize our 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.
Your skills and qualifications
6+ 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.
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).
Experience in scheduling, optimization algorithms, or working with satellite/remote sensing data.
Base Salary Range $150,000 - $180,000 annually
Seniority level Mid-Senior level
Employment type Full-time
Job function Defense and Space Manufacturing and Space Research and Technology
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