What Impact You’ll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You’ll Be Owning

GRVTY is seeking a Software Developer (Systems Software) with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)Strong proficiency with Infrastructure as Code tools: Terraform (required)
• Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
• Demonstrated experience with containerization (such as Docker and Pod man)
• Strong scripting proficiency: Bash (required) and Python (required)
• Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
• Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
• Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
• Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
• Experience with Git-based workflows, branching strategies, and version control best practices

What Would Be Nice to Have

• Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
• Familiarity with data lakehouse architectures and supporting infrastructure
• Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
• Knowledge of disaster recovery, backup strategies, and continuity planning
• Familiarity with API gateways and modern microservices patterns
• Experience with cost optimization practices in AWS
• Background deploying and supporting Al/ML workloads or model serving infrastructure
• Experience mentoring team members on DevOps and cloud best practices
• Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
• Familiarity with additional monitoring tools (Grafana, ELK stack)
• Experience integrating customer's Enterprise services

What Impact You’ll Have:

Our team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers.  We develop new tools, code, and services to execute data engineering activities.  Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations.  You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.

This is a time of development and growth on the program, with an increasing number of missions being supported.  The work is high impact and important, and the customer moves quickly.  The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects.  The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.  The work space itself is also quite nice, and there is an excellent cafeteria!

The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. 

Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

THE ROLE:

GRVTY is seeking a Full Stack Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Full Stack Developer participates in development efforts to deliver a complete software solution. This position is for work across the cloud-based software development lifecycle (front end, back end, database, etc.). Design and implement all levels of the solution: data layer, application code, user interface. Design and deliver APIs and integrations with other software systems and databases. Architect for optimal use of enterprise infrastructure (cloud) and security requirements. Experience in the following: Delivering the design and development of software applications. Programming/coding from the data layer through the application layer, through the user interface. Decomposing functional requirements into technical specifications and tasks. Software development frameworks and languages such as JavaScript, TypeScript, React, Python, etc. and data management tools such as SQL and XML. Developing and maintaining unit test scripts. Developing APIs and web services for integration between systems and data sets.

What You’ll Be Owning:

Work with the Chief Engineer and Technical Leads to translate requirements into user stories to incorporate new functionality into various software applications Develop and/or integrate with Infrastructure as Code DevOps tools to support cloud orchestration of software components Leverage AWS best practices to optimize code for cloud deployment with cost-conscious development and deployment strategies. Experience developing front end user interfaces using modern JavaScript frameworks like React.js, HTML, CSS, etc. Experience developing web APIs to interface with cloud applications and databases as part of cloud native software applications Experience working as part of an agile team to deliver software iteratively

What You Must Have:

• Active TS/SCI with Polygraph Clearance
• Minimum of 5-7 years' experience with:
• Application layer programming languages (e.g., Java, C#, C++)
• Database / Data Layer experience (e.g., SQL, unstructured data, MongoDB, Python, R, Elasticsearch, data management and analytics tools)
• Front end development skills (e.g., modern JavaScript frameworks like React.js, HTML, CSS, bootstrap, etc.)
• Experience developing, deploying, and maintaining systems on cloud platforms (e.g., AWS, Azure)
• Experience in Agile / Scrum

#LI-BPJ

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

“Please note, this isn't a software engineering role. As a Solution Engineer, you'll dive deep into our customers' needs, crafting innovative, end-to-end solutions using the Instabase platform. If you're passionate about blending tech with customer success, this is the role for you!”

Our Solution Engineering Team is the foundation of our customer’s experience and success with Instabase. This founding team will develop custom end-to-end solutions to the most critical and strategic NP-hard problems for our customer’s operations and build apps on the Instabase AiHub platform.

As a Solutions Engineer, reporting into Instabase Professional Service Organization,

• You’ll play a massive role in supporting the largest global enterprise as we expand into new sectors/industries.
• You’ll grow alongside and architect new solutions. You’ll use Instabase AIHub platform to solve AI use cases that are fundamental to extend our library of apps, incorporating custom requests/input from our customers. 

What you’ll do:

• Provide technical expertise in the post-sales process, outlining the value proposition, clarifying technical requirements, and answering Instabase related questions
• Deliver an exceptional post-sales customer experience
• Collaborate with customers to understand their business requirements, design and build customized solutions on the Instabase platform using Prompt Engineering and python scripting
• Work with APIs and databases to integrate with other systems and technologies
• Develop and implement production-grade solution within the customer’s environment
• Assist in troubleshooting and resolving technical issues that may arise during the implementation process
• Provide technical training and support to customers and team members
• Stay up-to-date on Instabase features, Machine Learning, LLMs, Python, APIs, and databases
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles
• Collaborate closely with the Product, Engineering, Sales, Solutions Architecture and Customer Success teams to ensure a seamless customer experience

About you:

• Proficiency in prompt engineering, demonstrating accountability to build, improve, and optimize prompts.
• Experience in requirements gathering, scoping, technical documentation and developing technical solutions by collaborating with customers
• Experience in Python scripting
• Experience with APIs and databases, such as RESTful APIs, SQL, NoSQL, and MongoDB
• Experience in working on the Instabase platform or similar automation platforms
• Excellent problem-solving skills and ability to troubleshoot technical issues
• Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Strong attention to detail and ability to deliver high-quality work

US Benefits: 

• Flexible PTO: Because life is better when you actually live it!
• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
• 401(k) with Matching: We’ve got your back for a secure future. 
• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
• Therapy Sessions Covered: Mental health matters— 10 free sessions through Samata Health.
• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
• Lunch on Us: Enjoy a lunch credit when you're in the office.

Compensation: For US-based roles: The base salary range for this role is $112,000 to $143,000 + bonus, equity, and US Benefits. The actual pay may vary based on factors such as location, experience, and skills.