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HomeCompaniesGRVTYSoftware Engineer (Full Stack) - SME

Software Engineer (Full Stack) - SME

GRVTY · Springfield, Virginia, United States · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyGRVTY
TitleSoftware Engineer (Full Stack) - SME
Normalized title-
Department / teamSpace Intelligence Business Unit
LocationSpringfield, VA, United States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-26 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from GRVTY.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Springfield.Open
Department jobsActive postings in Space Intelligence Business Unit.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGRVTY
Sourcec53f1e7e-e510-4d62-b0fe-7e85c54942f5
ATS providerGreenhouse

Description

What Impact You'll Have: Join a mission-focused team where your work directly supports critical national security objectives. We are seeking a Subject Matter Expert (SME) Full Stack Developer to lead the design, development, and delivery of scalable, mission-driven applications within an ML/Ops environment. This role combines deep technical expertise with advanced system-level thinking and close collaboration across engineering, data science, and customer stakeholder teams. The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation while developing rules and methodologies for data collection and analysis. You will architect, develop, and maintain a Python-based data warehouse processing system that serves as the backend for a user-facing application, while also leading development of modern GUI applications using REST APIs and contemporary web frameworks. You will work closely with data scientists, computer vision engineers, ETL engineers, and intelligence analysts to integrate machine learning capabilities into production systems, enabling scalable model deployment, monitoring, and continuous improvement. This role emphasizes ownership, technical leadership, and delivery of production-ready solutions that operate reliably in dynamic, real-world environments. What You'll Be Owning: • Lead and participate in the architectural design of complex features early in the development lifecycle. • Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans. • Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems. • Design and implement scalable APIs and services to support machine learning model deployment and inference. • Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets. • Collaborate with data scientists and ML engineers to operationalize models within production environments. • Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable. • Conduct peer reviews and establish coding standards to improve overall code quality and maintainability. • Guide development testing, exploratory testing, automated testing, and validation strategies. • Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts. • Ensure security, compliance, and governance are maintained throughout the development lifecycle. • Perform technical planning, system integration, verification and validation, and risk assessments across system components. • Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams. • Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team. What You Must Have: • Active TS/SCI clearance with the ability to obtain a CI poly • Bachelor’s degree in Computer Science, Engineering, or a related technical field. • 14+ years of professional experience in full stack software development. • Expert-level proficiency in Python and object-oriented design patterns. • Extensive experience developing backend systems, APIs, and data processing pipelines. • Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron. • Deep understanding of data modeling techniques and experience working with large-scale and time series datasets. • Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery. • Experience building and maintaining RESTful APIs and microservices architectures. • Experience supporting machine learning workflows, including model integration, deployment, and monitoring. • Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna. • Strong experience with Python libraries such as NumPy and Pandas. • Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn. • Experience with containerization and DevOps practices, including Docker and CI/CD pipelines. • Experience with web servers such as Apache and Nginx. • Experience working within Agile development environments and using associated tools. What Would be Nice to Have: • Experience supporting government or defense-related programs. • Experience integrating computer vision or machine learning capabilities into operational systems. • Knowledge of real-time data processing, streaming architectures, or distributed systems. • Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform). • Experience with parallelization and multiprocessing frameworks such as Dask. • Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC and JSON-RPC. #LI-CM1 Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email  [email protected]  or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Full job record

Job ID337f907a5cf3601f71bd4c1d3b20bf495f4313e6
Org ID0351b8c0-92eb-4edb-9d63-c3514afa9eef
Source IDc53f1e7e-e510-4d62-b0fe-7e85c54942f5
Board IDc53f1e7e-e510-4d62-b0fe-7e85c54942f5
Providergreenhouse
Provider Job Key4201756009
TitleSoftware Engineer (Full Stack) - SME
Normalized Title
Statusactive
Activeyes
Location TextSpringfield, Virginia, United States
DepartmentSpace Intelligence Business Unit
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionVA
CitySpringfield
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/grvty/jobs/4201756009
Apply URLhttps://job-boards.greenhouse.io/grvty/jobs/4201756009
First Seen At2026-05-29 22:42:28Z
Last Seen At2026-06-06 07:34:57Z
Last Checked At2026-06-06 07:34:57Z
Last Changed At2026-05-29 22:42:28Z
Inactive At
Source Posted At2026-03-26 13:47:34Z
Source Updated At2026-04-16 16:18:05Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=grvty/date=2026-06-06/2026-06-06T07-34-57-688Z-7d9456846546cbcbad531eb144c939a956884cc47614e515aa88fd886f2f441c.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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  "metadata": [],
  "updated_at": "2026-04-16T12:18:05-04:00",
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  "company_name": "GRVTY",
  "requisition_id": 4117804009,
  "first_published": "2026-03-26T09:47:34-04:00",
  "application_deadline": null
}
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