Software Engineer [$233k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Annapolis Junction, MD, United States
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$233,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Bash Shell Big Data Python (Programming Language) Software Engineering Data Processing Delivery Pipeline Apache Spark Git Containerization Atlassian Tools
+1 more
Docker

Job description

  • Develop and maintain robust data workflows and automation pipelines.
  • Design and implement reliable, scalable, and observable workflow orchestration solutions.
  • Contribute to critical data processing initiatives and infrastructure development.
  • Utilize a diverse technology stack to deliver high-performance solutions.
  • Up to 2 days per week of telework, * Design, develop, and maintain data workflows and automation pipelines.
  • Build and implement reliable, scalable, and observable workflow orchestration solutions.
  • Develop and optimize Bash scripts for various operational needs.
  • Perform software development using Python and Java.
  • Work with distributed Big Data processing engines, including Apache Spark.
  • Implement and manage containerization technologies such as Docker.
  • Manage source code and version control using Git.
  • Utilize JIRA and Confluence for project management and collaboration.
  • Leverage AWS Cloud Services for infrastructure and deployment.

Requirements

Degree: Technical bachelor’s degree or equivalent experience Years of experience: 5+ years Salary: $233k+ yearly compensation

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:41 min

Scale and diversity of software development teams

Bastian Heilemann Bastian Heilemann +1 · WWC 2025

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all