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

J&T Business Consulting; Annapolis (MD); On-site; USD 199,000 - 238,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Life and disability insurance

Paid time off and holidays

Parental leave

Tuition reimbursement

401(k) with company match

Job summary

J&T Business Consulting seeks a Cloud Software Engineer 3 to design and implement large-scale cloud data systems for a federal program. You will own back-end data processing, analytics, and retrieval, primarily in Java, within a distributed Hadoop ecosystem.

You’ll lead development tasks, mentor teammates, and help shape system design from high level to components. Requires active TS/SCI with polygraph and on-site work in Annapolis, MD.

Qualifications

• 12 years of software engineering on programs of similar scope and complexity, including at least 4 years on big-data cloud or distributed computing programs.
• Bachelor’s degree in Computer Science or a related field; 4 extra years of cloud software engineering can replace the degree; Master’s degree adds 2 years; Cloudera Certified Hadoop Developer adds 1 year.

Responsibilities

• Design, develop and test cloud-based information retrieval and big-data processing systems, mainly in Java.
• Build and manage complex MapReduce analytics workflows.
• Write code for distributed file systems, BigTable-style stores and distributed coordination frameworks.
• Architect solutions for processing and retrieving very large data volumes efficiently.
• Debug and tune distributed computing frameworks and manage multi-node cloud environments.
• Lead development tasks and ensure quality control of all software.
• Act as SME on Hadoop and cloud computing; recommend new technologies and standards.

Skills

Java

Hadoop

Distributed computing

MapReduce

RESTful services

Unix/Linux

Maven

OOP design

Education

Bachelor’s degree in Computer Science or related field

Master’s degree counts for 2 years experience

Cloudera Certified Hadoop Developer

Tools

Eclipse IDE

Subversion

ClearQuest

Razor

Job description

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

Annapolis, United States | Posted on 10/28/2026

Location: Annapolis Junction, MD (on-site)

Type: Full-time, permanent

Clearance: Active TS/SCI with current polygraph required

Salary: $199,000 – $238,000, depending on experience

The role

You’ll build, maintain and improve large, complex big-data cloud systems for a mission-focused federal program. You’ll work across the full back end, covering data processing, analytics and indexing, as a hands‑on engineer and technical expert in Hadoop, distributed computing and information retrieval. You’ll work on your own and as part of a team, and help shape system design decisions from system level down to individual software components.

What you’ll do

• Design, develop and test cloud-based information retrieval and big-data processing systems, mainly in Java.
  
• Build and manage complex MapReduce analytics workflows.
  
• Write code that works with distributed file systems, BigTable-style data stores and distributed coordination frameworks.
  
• Architect solutions for processing and retrieving very large volumes of data efficiently.
  
• Debug and tune distributed computing frameworks, and install and manage multi-node cloud environments.
  
• Review and test software against design requirements, document results and resolve software problem reports.
  
• Advise on hardware/software trade-offs, software reuse, and when to use commercial or government off-the-shelf products (COTS/GOTS) instead of building new.
  
• Lead one or more development tasks: delegate work, monitor performance and ensure quality control of all software.
  
• Act as the team’s subject matter expert on Hadoop and cloud computing.
  
• Recommend new technologies, process improvements and documentation standards.
  

What you’ll need

Experience and education

• 12 years of software engineering on programs of similar scope and complexity, including at least 4 years on big-data cloud or distributed computing programs.
  
• A bachelor’s degree in Computer Science or a related field.
  • 4 extra years of cloud software engineering on similar big-data systems can replace the degree.
    
  • A master’s in Computer Science or a related field counts for 2 years of experience.
    
  • Cloudera Certified Hadoop Developer certification counts for 1 year of cloud experience.
    

Cloud and distributed computing (minimum experience)

• 2 years of cloud or distributed computing information retrieval.
  
• 1 year writing code that interacts with a cloud BigTable implementation.
  
• 1 year writing code that interacts with a cloud distributed file system.
  
• 1 year building complex MapReduce analytics.
  
• 1 year writing code that interacts with cloud distributed coordination frameworks.
  
• 1 year architecting cloud computing solutions.
  
• 1 year debugging cloud-based distributed computing frameworks.
  
• 1 year managing multi-node cloud installations.
  

Technical skills

• Object-oriented design and programming: Java, Eclipse or a similar IDE, Maven, RESTful web services.
  
• Distributed technologies: YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, concurrent programming.
  
• Ingesting and parsing varied data formats: XML, JSON, CSV, binary formats, sequence and map files, Avro.
  
• Aspect-oriented design and development.
  
• JVM memory management and Java application profiling.
  
• UNIX/Linux, CentOS and Red Hat.
  
• Configuration management tools such as Subversion, ClearQuest or Razor.
  

Network operations

• Utility computing, network management, virtualization (VMware or VirtualBox) and cloud computing.
  
• Installing and managing distributed systems across multiple nodes using Python, CFEngine, Bash, Ruby or similar.
  

Information assurance

• Securing cloud and distributed applications with firewalls, PKI certificates, server authentication and corporate authentication services.
  

SIGINT

• Experience with at least one SIGINT collection discipline: FORNSAT, CABLE, terrestrial/microwave, overhead or ELINT.
  
• Geolocation, emitter identification and signal applications.
  
• Joint program collection platforms, dataflow architectures and signals characterization analysis.
  

Medical, dental and vision insurance; life and disability cover; paid time off and holidays; paid parental leave; tuition reimbursement; and a 401(k) with company match.