Principal Software Engineer

Posted 11 Hours Ago
Be an Early Applicant
Arlington, VA
28K Annually
7+ Years Experience
Security • Analytics • Cybersecurity
The Role
Principal Software Engineer role at G2 Ops involving developing and maintaining software with integrated data/machine learning solutions. Collaborating with stakeholders to deploy scalable machine learning models, ensuring databases support efficient operations, and adhering to best practices in software engineering and data science.
Summary Generated by Built In

​ Quick Position Facts!
 

Location: Arlington, VA or Virginia Beach, VA at our wonderful G2 Ops office
Work Setting: In person, some remote opportunity, and/or flexible working hours, not a fully remote position
Looking to Start: November 2024
Openings: 1 Full-Time Role, 
at least 8+ years of relevant experience
Salary Range: $130-150k, , based on experience
Knowledge Requirements: 

  • Programming Proficiency: Experience in Java, Python (emphasized for data/machine learning)
  • Web Development: Skilled in frameworks like HTML5, Java Server Faces, JavaScript, PHP, ASP.NET, Django, Rails.
  • Database Expertise: Proficient in relational and NoSQL databases (e.g., Oracle, MySQL, MongoDB) for supporting machine learning.
  • SDLC Involvement: Active in all software development stages, including system requirement analysis and deployment of machine learning models.
  • Data & Machine Learning: Capable of data collection, analysis, and creating machine learning models for predictive analytics.
  • Software Design & Documentation: Develop and maintain design documents, emphasizing machine learning models and data pipelines.
  • Metadata & Database Architecture: Coordinate design and population of databases to support machine learning operations.
  • Standards Compliance: Ensure software and machine learning models adhere to development standards.

Responsibilities:

  • Develop and maintain software automating business processes with integrated data/machine learning solutions.
  • Collaborate with stakeholders to deploy scalable machine learning models.
  • Ensure databases and metadata structures support efficient machine learning operations.
  • Adhere to best practices in software engineering and data science, including documentation and version control.

Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance
What makes someone choose one company over another? Pay, benefits, training, work satisfaction, culture? What if you can have it all? At G2 Ops, we have extremely competitive pay and benefits but that is not even the best part. Our culture is what sets us apart from other companies. With us, you will not be another payroll number or a cog in the machine. We provide great value to our customers by working as a team and ensuring every member is set up for success. Our team approach allows for each member to not only provide value with their expertise but also gives them the opportunity to cross-train in other areas in which they have an interest.
Embracing AI. G2 Ops stays ahead of the competition by embracing the latest technologies, including Artificial Intelligence (AI). We are looking for team members who are excited to explore and implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work.
Let's talk salary. The annual salary range for this position is $130-150k, based on your qualifications. We also offer a competitive benefits package and have fringe benefits offered throughout the year. The benefits package value ranges from $13,000 for a single employee, and up to $28,000 for an employee and their family. With company standard annual performance reviews in place, plus excellence awards for recognition, your performance will be rewarded and appreciated, we promise!
So, you want to work from home? Let's be honest, remote work is not always all it's cut out to be. At G2 Ops, we offer a flexible schedule to meet the needs of our employees and customers. Due to the classification level of the projects, we support, we are not able to offer fully remote opportunities at this time. As a Defense Contractor, we are frequently working with sensitive material, and therefore, we need to ensure where you access your work is secure. You will have a shiny desk at our G2 Ops office and the ability to telework with prior approval. Here's the thing, we have worked very hard to create an awesome culture where our employees get to come to a collaborative, exciting office environment and we want you to join the fun!
Still not convinced? Allow us to elaborate. For this opportunity, we are seeking a highly motivated, team-oriented Software Engineer. This exciting position will have the chance to work on just about any aspect there is as it pertains to Software engineering, Machine Learning and AI.
What does this mean to you? We are seeking expertise in AI and Machine Learning such as experience in programming, web development, programming, Software Design and Data and Machine Learning.
Lastly, as we are working for the DoD, we are beholden to some requirements. The ideal candidate would already possess an active DoD Secret level clearance.
Quick Reminder, we are seeking a full-time team member; the continuation of outside employment shall not constitute a conflict with the Company’s interest, including performing work for a customer or competitor.
Congratulations, you made it all the way to the end of this job posting! We look forward to learning more about you!

 

Top Skills

Java
Python
The Company
Arlington, VA
106 Employees
On-site Workplace
Year Founded: 2013

What We Do

G2 Ops is a preferred provider of analytical and innovative solutions in the following areas:
- Model-Based Systems Engineering
- Cybersecurity Requirements, Analysis, and Threat Assessment
- Cybersecurity Consulting
Strategic vision: G2 Ops helps companies stay ahead of cyber crime and IT threats by identifying and measuring weaknesses before incidents occur, then providing remediation priorities based on individual business and financial risk thresholds.

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