Software Engineer 2 (IDN - 148)

Posted Yesterday
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Annapolis Junction, MD, USA
In-Office
Mid level
Artificial Intelligence • Cloud • Information Technology • Analytics
The Role
Develop software using Python and Java, automate processes with Bash, and orchestrate complex workflows with Apache Airflow. Process distributed big data using Apache Spark, manage containerized applications with Docker, containerd, or Podman, and use Git for source control. The role requires Linux command-line expertise and supports high-performance computing, large-scale analytics, and information technology engineering programs. An active TS/SCI clearance with polygraph is mandatory.
Summary Generated by Built In

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.  

Active TS/SCI w/ Polygraph required.

SWE-2 Qualifications:

Master’s degree in computer science or related discipline from an
accredited college or university, plus three (3) years of experience as a SWE, in programs and
contracts of similar scope, type, and complexity.
OR
Bachelor’s degree in computer science or related discipline from an accredited college or
university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope,
type, and complexity
OR
Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and
complexity.

Position Required Skills:
- Experience using the Linux CLI and Linux tools
- Experience developing Bash scripts to automate manual processes
- Recent software development experience using Python and Java
- Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to
orchestrate, schedule, and monitor complex workflows
- Experience using Distributed Big Data processing engines including Apache Spark
- Experience with containerization technologies such as Docker, containerd, and Podman
- Experience with Git Source Control System

Position Desired Skills: 
- Experience using the Atlassian Tool Suite (JIRA, Confluence) 
- Familiar with AWS Cloud Services and Infrastructure

Telework 16h/w

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

Skills Required

  • Master’s degree in computer science or a related discipline from an accredited college or university, plus three years of relevant software engineering experience
  • Bachelor’s degree in computer science or a related discipline from an accredited college or university, plus five years of relevant software engineering experience
  • Seven years of relevant software engineering experience
  • Experience using the Linux CLI and Linux tools
  • Experience developing Bash scripts to automate manual processes
  • Recent software development experience using Python and Java
  • Experience using Apache Airflow, including DAG design, scheduling, operators, and sensors
  • Experience using distributed big data processing engines, including Apache Spark
  • Experience with containerization technologies such as Docker, containerd, and Podman
  • Experience with Git source control
  • Active TS/SCI clearance with polygraph
  • Experience using the Atlassian Tool Suite, including JIRA and Confluence
  • Familiarity with AWS Cloud Services and infrastructure
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The Company
38 Employees
Year Founded: 2015

What We Do

SageCor Solutions is a Maryland-area engineering firm serving Intelligence Community and Department of Defense customers. Founded to support high-performance computing missions, it now delivers full-lifecycle systems engineering, high-performance data analytics, artificial intelligence and machine learning, cloud architecture, software and hardware design, cybersecurity, testing, and technical advisory services. Its mission is to solve complex national-security technology challenges through specialized engineering expertise.

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