Staff Software Engineer, Backend, Platform Expansion, Remote

Machinify, Inc.

full-time

Posted on: 8/18/2025

Location: 🇺🇸 United States

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💰 $210,000 - $245,000 per year

Lead

ApacheAWSCloudDistributed SystemsJavaKafkaKubernetesMicroservicesPostgresScalaSparkSpringSQL

About the role

Main contributor to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems
Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
Design, develop, and maintain robust Scala and Java based systems
Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
Collaborate cross-functionally with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables
Design and implement complex frameworks for applying machine learning techniques to large data volumes
Deliver reliable and good-performing software
Troubleshoot and resolve software and database issues in a timely manner.
Participate in code reviews to maintain high code quality.
Continuously explore new technologies and integrate them into projects to improve system performance and scalability

10+ years of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies.
Proficiency in Java or Scala, with a strong understanding of object-oriented and functional programming principles and performance tuning
Experience with Java frameworks such as Spring or Java EE.
Skill in reading the source for complex software systems, understanding them, and improving them
Experience with SQL, database schema design, and relational database development/administration (PostgreSQL preferred)
Knowledge of distributed computing frameworks (e.g. Apache Spark, Apache Kafka,).
A strong CS foundation in data structures and asynchronous programming
BS or MS in Computer Science (or equivalent experience)