Cloud Software Engineer 3 (TS/SCI Clearance with Full Scope Polygraph Required)

J&T Business Consulting•Annapolis, MD

2d•Onsite

About The Position

Seeking a senior Cloud Software Engineer 3 to design, develop, and optimize complex, large-scale Big Data cloud architectures and distributed systems in Annapolis Junction, MD. The role contributes across back-end processing, distributed computing, information retrieval (IR), and data indexing. The engineer uses the Hadoop ecosystem and modern cloud technologies to architect robust software solutions, translate high-level system requirements into scalable code, resolve complex technical issues, and support seamless data ingestion and analytics across multi-node environments.

Requirements

Active TS/SCI clearance with Polygraph.
Bachelor’s degree in Computer Science or a related discipline plus 12 years of software engineering experience, including at least 4 years focused on Big Data cloud technologies and/or distributed computing; alternatively, 16 years of relevant software engineering experience without a degree, with 4 additional years of Big Data experience substituting for the degree.
A Master’s degree in Computer Science or a related field substitutes for 2 years of experience.
At least 2 years of experience in Cloud/Distributed Information Retrieval (IR).
At least 1 year each of experience in Cloud Bigtable development, Cloud Distributed File Systems (HDFS), complex MapReduce analytics, Distributed Coordination Frameworks, cloud architecture, multi-node cloud management, and debugging distributed frameworks.
Advanced proficiency in Java, Object-Oriented Design, Maven, J2EE, RESTful services, and Linux/CentOS environments.
Hands-on experience with data retrieval and storage technologies such as HDFS, HBase, Apache Lucene, Apache Solr, or MongoDB.
Experience with at least one SIGINT collection discipline (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, ELINT), emitter identification/geolocation, or joint collection platform dataflow architectures.
Working knowledge of commercial cloud platforms such as AWS or Azure and container technologies such as Docker or Kubernetes.

Nice To Haves

Cloudera Certified Hadoop Developer certification, which substitutes for 1 year of cloud experience.
Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for indexing, searching, and analytics.
Familiarity with Apache NiFi (NiagaraFiles) dataflow management.
Infrastructure automation experience using Ansible, Python, or Bash scripting.
Strong background leading agile (Scrum) development efforts, establishing software quality standards, and mentoring junior engineering teams.

Responsibilities

Architect, develop, test, and maintain distributed Big Data cloud systems and back-end processing pipelines.
Implement custom Java applications, RESTful web services, and MapReduce analytics for large-scale data sets.
Build and integrate software interfacing with Cloud Bigtable, Distributed File Systems (HDFS), and Distributed Coordination Frameworks such as ZooKeeper.
Design and execute workflows for ingesting, parsing, normalizing, and indexing disparate data formats, including XML, JSON, CSV, Avro, Sequence/Map files, and binary formats.
Manage, configure, and debug multi-node cloud installations across virtualized and bare-metal Linux/CentOS environments.
Secure distributed applications using PKI certificates, firewalls, server authentication, and enterprise identity services.
Provide technical leadership on hardware/software trade-offs, COTS/GOTS integration, and software component reuse.
Profile and optimize Java Virtual Machine (JVM) memory allocation and application performance.