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About
This role is on-site at DEKA in Manchester, NH. Relocation is not available, local candidates only.
How You Will Make an Impact:
Design and implement scalable backend services and microservices powering data-intensive, real-world applications
Build and deploy production ML models across the full lifecycle from feature engineering and training through evaluation, deployment, and monitoring
Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies
Architect systems that integrate ML models with rule-based decision engines for automated, real-time decisioning
Collaborate across disciplines to translate complex requirements into reliable, elegant engineering solutions
Contribute to AI/LLM-driven workflows and orchestration systems that push the boundaries of what software can do
Required Experience/Knowledge:
M.S. in Computer Science, AI, or a related field
6+ years in backend software engineering and distributed systems
Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python
Hands-on experience building and deploying production ML models (PyTorch or equivalent)
Experience with distributed systems and streaming technologies: Apache Kafka, Apache Spark, ZooKeeper
Solid understanding of microservices architecture, REST/SOAP APIs, and object-oriented design
Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB)
Familiarity with AWS or equivalent cloud platforms
Strong problem-solving skills
Intrinsic drive to understand how things work and make them better
Excellent communicating and collaboration across engineering, data, and product teams
Strong attention to detail
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- English
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