Entry to Mid-Level Software Engineer (TS/SCI

Red Alpha
Columbia, SC, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
$85,000.0 - $175,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Microsoft Windows Geographic Information Systems Application Programming Interfaces (APIs) Amazon Web Services Cloud Computing Configuration Management Databases Extract Transform Load (ETL) Data Visualization Relational Databases Linux
+17 more
Elasticsearch PostgreSQL MySQL NoSQL Requirements Management Software Engineering Spatial Data Infrastructures Data Processing Git Containerization Kubernetes Information Technology Geospatial Data Abstraction Library (GDAL) Software Version Control Docker Web Api Microservices

Job description

  • Collaborate with cross-functional teams to gather and understand requirements.
  • Design and develop Java microservices with a focus on geospatial data processing, visualization and analysis.
  • Implement and maintain scalable and high-performance solutions.
  • Work with external APIs and libraries to integrate geospatial functionality into services.

Key Technologies include: Java/Spring, Linux/Windows, ElasticSearch, MySQL/PostgreSQL, AWS, Kubernetes, Docker What you bring to the table

Requirements

As a Software Engineer on this team, you must be skilled and self-motivated to develop cutting-edge geospatial analysis, ETL (Extract, Transform, Load), and visualization microservices to support mission-focused systems. You will design, implement, and maintain scalable and performant Java-based microservices that interact with both relational and NoSQL databases. Your work will contribute to enhancing the capabilities of our geospatial data processing and visualization tools, enabling better decision-making for mission-critical applications., * A Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field. Four (4) additional years of experience may be substituted for a bachelor’s degree.

  • Experience working with Java
  • Understanding of microservices architecture and design principles
  • Familiarity with relational and NoSQL databases and their interactions.
  • Excellent problem-solving skills and ability to work in a collaborative team environment.
  • Effective communication skills for both technical and non-technical audiences.
  • Self-motivated and able to manage multiple tasks and priorities effectively.
  • A TS/SCI with Polygraph level of clearance

Bonus Skills:

  • Experience with geospatial libraries and tools (ie GDAL, GeoTools)
  • Knowledge of cloud platforms such as AWS
  • Exposure to containerization technologies (Docker, Kubernetes)
  • Familiarity with version control systems (eg Git), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Baseball, Cloud Computing, Communication Skills, Computer Science, Cross-Functional, Data Processing, Data Visualization, Data Visualization Tools, Database Extract Transform and Load (ETL), Docker, Elasticsearch, Geospatial Analysis, Git, Java, Linux Operating System, Microservices, Microsoft Windows Operating System, Multitasking, MySQL, NoSQL, PostgreSQL, Problem Solving Skills, Relational Databases (RDBMS), Requirements Management, Sales Closing Skills, Sensitive Compartmented Information (SCI), Software Engineering, Source Code/Configuration Management (SCM), Spatial Data, Team Player, Top Secret Clearance

Benefits & conditions

The total package: Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers’ missions; allow members to share in Red Alpha’s success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range:

  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $85,000 - $175,000.

Some of our additional perks and benefits include:

  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we’ll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We’ll also pay the majority of the premiums for your family. Let’s not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!

Apply for this position

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Good distractions

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

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Scaling MySQL databases for massive user growth

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Balancing data science skillings alongside systems engineering rigor

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