Software Engineer (Full Stack) SME

What Impact Youll 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 Youll 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
Bachelors 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 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.

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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. Were 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 defenseincluding 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. Thats 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 emailor call with requested details. A member of the HR team will respond to your request within 2 business days.

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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.