Our History
The driving force at Great Falls Software Solutions, founder Lalitha Ketineni is passionate about helping clients solve their most challenging technical problems through a collaborative approach. She invests fully in building excellent relationships and leads her staff to do the same.
As the company's principal systems architect, Lalitha always keeps the big picture in mind. When combined with her 30+ years experience, this ability allows her to recommend the best and most efficient path forward at the outset of every project. Her impact at USAID's Office of U.S. Foreign Disaster Assistance is well known, as the custom system GFSS built has transformed the way the office tracks partner activities, responds to information requests, and completes routine business tasks.
Join Us
GFSS offers a unique blend of long-term client relationships focused on providing solutions tailored to each client's distinct needs and challenges.
As trusted advisers to government and commercial clients, GFSS employees offer expert guidance on complex IT projects requiring keen insight, innovative thinking, and commitment to performance. We are always looking for the best and brightest to join our team. If we don't have a position open, don't hesitate to reach out.
Great Benefits
In addition to excellent opportunities, we offer great benefits so you can do your best work.
- Career Growth
- Flexible Work
- Competitive Salary
- Long-term Clients
- Bonuses
Careers
We're always seeking exceptional candidates who share our passion for delivering innovative solutions and maintaining the highest standards of technical excellence. Explore our current opportunities below to join our team of dedicated professionals.
Software Engineer
No equity · Full Time · Remote possible · Washington DC · Arlington · Great Falls · Software Engineer · Machine Learning · DevOps
Description
Leverage skills in data analysis, machine learning, DevOps, and web development and utilize data analysis expertise to craft predictive models and manage the full machine learning lifecycle, encompassing coding, model training, and deployment. Collaborate closely with DevOps Engineers to seamlessly integrate machine learning recommendations. Contribute to designing user-friendly interfaces for data-driven applications. Utilize Python, data science and ML frameworks, DevOps tools, and web development technologies.
Requirements
Master's in Computer Science, Information Technology or Artificial Intelligence
No experience required
Hours are 9 AM to 5:30 PM; 40 hours/week