Cloud Software Engineer ; TS​/SCI 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 Map Reduce analytics workflows.
• Write code that works with distributed file systems, Big Table-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 Big Table implementation.
• 1 year writing code that interacts with a cloud distributed file system.
• 1 year building complex Map Reduce 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, Map Reduce, 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, Clear Quest or Razor.

Network operations

• Utility computing, network management, virtualization (VMware or Virtual Box) 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.