Razor is seeking an experienced
Full Stack Developer to support a state-of-the-art Machine Learning/Artificial Intelligence (ML/AI) RDT&E program focused on integrating innovative solutions for a government customer. This role will leverage both front-end and back-end development expertise to integrate multiple ML applications into a unified solution.
The Full Stack Developer will work within an Agile environment and collaborate with government stakeholders, technical teams, and industry partners to develop, integrate, and enhance mission-critical applications and data solutions.
Education Requirements: - Bachelor's degree in Computer Science, Engineering, or a related STEM field.
Clearance Requirements: - ctive Top Secret clearance is required.
- Must be able to obtain and maintain TS/SCI eligibility and a CI Polygraph.
Location & Work Arrangement: - Springfield, Virginia
- This position requires onsite support at the customer location.
Responsibilities: - Develop and integrate full-stack software applications supporting ML/AI initiatives.
- Perform both server-side and client-side application development.
- Develop, integrate, and troubleshoot software applications supporting Extract, Transform, Load (ETL) solutions.
- Enhance existing applications using scalable and efficient development approaches while considering technical resources and project timelines.
- Co-lead product direction and feature specifications in collaboration with stakeholders and program leadership.
- Build and maintain real-time data pipelines and event-driven architectures.
- Develop server-side applications and implement distributed tracing and system monitoring.
- Design and maintain resilient, high-traffic microservices.
- Develop and integrate APIs supporting distributed applications and data workflows.
- Develop and maintain solutions within WS cloud environments.
- Support containerized and orchestrated application environments.
- Develop architecture, system, and data-flow diagrams.
- Collaborate within DevSecOps and Agile development environments.
- Communicate technical recommendations to stakeholders with varying levels of technical expertise.
Required Qualifications: - 3-10+ years of experience developing, integrating, and troubleshooting software applications, including ETL solutions.
- Proficiency with Python, C++, Node.js, and JavaScript.
- Experience with SQL, NoSQL, and in-memory databases, including PostgreSQL, Elasticsearch, and Redis.
- Experience building real-time data pipelines and event-driven architectures using technologies such as Kafka Streaming.
- Experience developing server-side applications and implementing distributed tracing and system monitoring using technologies such as OpenTelemetry.
- Experience designing and maintaining resilient, high-traffic microservices.
- Strong Linux experience, including system administration and scripting with Bash, Sed, and Awk.
- Strong experience with WS cloud services, including compute, storage, networking, IAM, cluster management, and policy management.
- Experience with PI integration and development.
- Experience with containerization and orchestration technologies such as Kubernetes, Docker, Helm, Rancher, and OpenShift.
- Experience with DevSecOps tools and frameworks such as GitLab and Jira.
- Experience developing architecture/system diagrams and data-flow diagrams.
- Strong attention to detail and experience developing high-quality software using robust design patterns.
- Excellent communication and presentation skills.
- bility to quickly learn and leverage new technologies in a fast-paced environment.
Preferred Qualifications: - Familiarity with Data Science and Machine Learning concepts.
- Experience with Oracle Converged Database.
- Experience with RDF Graph databases such as nzoGraph or Stardog.
- Experience with Palantir Foundry application development.
- Experience with cloud technologies including WS, Azure, or Oracle Cloud.
- Experience designing, coding, deploying, and supporting enterprise-level systems.
- Experience with UI frameworks such as React.
- Experience with automation technologies such as nsible.
- Experience with Big Data technologies such as irflow, Django, Elasticsearch, Kibana, and PostgreSQL.
- Experience working with Geographic Information System (GIS) data.
- Experience with Machine Learning algorithms.
Razor is an EEO Employer Razor is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.
Razor Benefits Overview Razor offers a comprehensive benefits package that may include medical, dental, and vision insurance; life and disability insurance; paid time off and holidays; a
401(k) plan; and professional development opportunities. Benefits offerings may vary based on position and employment status.
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