Senior Graph Analytics Full-Stack Engineer

Peraton; Maryland; Presencial; USD 176.000 - 282.000; Tempo integral

Benefícios oferecidos por esta vaga

25 days PTO

Comprehensive benefits package

Resumo da vaga

Peraton seeks an experienced software engineer to deliver comprehensive cloud software research, development, and engineering services. You will lead the full SDLC—from requirements analysis and system design to integration, testing, and long-term enhancement of mission-critical cloud applications.

The role focuses on building and sustaining robust, large-scale distributed systems, with collaboration across data scientists, engineers, and product managers to ensure high-impact outcomes.

Qualificações

• Active TS/SCI with current Polygraph required.
• Twenty years of SWE experience in programs of similar scope.
• Bachelor’s degree in computer science or related discipline; four additional years substituted for degree.

Responsabilidades

• Provide comprehensive cloud software research, development, and engineering services.
• Lead the full SDLC from requirements to deployment of mission-critical cloud applications.
• Develop end-to-end full-stack software services and ensure system reliability.

Conhecimentos

Graph Data Modeling & Performance

Enterprise Java Microservices

Graph-Relational Integration

Graph Analytics & Algorithms

Advanced Analytics

Cloud Scalability

AI & Pattern Discovery

Specialized Processing

Data Modeling

Formação

Bachelor’s degree in computer science or related discipline

Ferramentas

NoSQL (HBase, Accumulo, Big Table)

MapReduce (Hadoop, Hive, Pig)

RESTful services (JSON/BSON)

Descrição da vaga

Peraton seeks an experienced software engineer to deliver comprehensive cloud software research, development, and engineering services. You will lead the full SDLC—from requirements analysis and system design to integration, testing, and long-term enhancement of mission-critical cloud applications.

The role focuses on building and sustaining robust, large-scale distributed systems, with collaboration across data scientists, engineers, and product managers to ensure high-impact outcomes.