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

3 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Paid time off
Paid holidays
Paid parental leave
Tuition reimbursement
401(k) with company match

Job summary

J&T Business Consulting is seeking a Cloud Software Engineer 3 (TS/SCI with Full Scope Polygraph) in Annapolis Junction, MD. You will design, build and optimize cloud-based information retrieval and big-data processing systems, mainly in Java, across back-end data processing and analytics layers.

You’ll lead development tasks, review results, and advise on hardware/software trade-offs while guiding the team on Hadoop and cloud computing best practices.

Qualifications

  • 12 years of software engineering on large, complex programs.
  • Minimum 4 years in big-data cloud or distributed computing.
  • Bachelor’s in CS or related field; or equivalent experience.
  • Certificate counts: Cloudera Hadoop Developer adds one year.

Responsibilities

  • Design, develop and test cloud-based information retrieval and big-data processing systems in Java.
  • Build and manage MapReduce analytics workflows across multi-node clusters.
  • Write code for distributed file systems and data stores.
  • Architect scalable solutions for very large data volumes.
  • Debug and tune distributed frameworks; manage multi-node environments.
  • Review, document results and resolve software problem reports.
  • Advise on techTrade-offs and COTS/GOTS usage.
  • Lead development tasks and ensure quality across the team.
  • Act as SME on Hadoop and cloud computing; propose improvements.
  • Document standards and drive adoption of new tech.

Skills

Java
Hadoop
Distributed computing
MapReduce
Cloud computing
JVM
Unix/Linux
RESTful services
Big data analytics

Education

Bachelor's degree in Computer Science or related field
Master’s degree counts for 2 years experience
Cloudera Certified Hadoop Developer counts for 1 year

Tools

Eclipse/IDE
Maven
Zookeeper
HDFS

Job description

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

Annapolis, United States | Posted on 11/05/2026

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.

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