Full Stack Software Engineer
Job
Dice.com | BigBear.ai | ClearanceJobs.com
Columbia, MD (In Person)
Full-Time
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Job Description
Full Stack Software Engineer
Skills
- Innovation
- FOCUS
- Infrastructure Architecture
- Emerging Technologies
- Conflict Resolution
- Problem Solving
- Provisioning
- High Availability
- Mentorship
- Security Clearance
- Java
- Web Applications
- Performance Tuning
- System Integration
- Cloud Computing
- Amazon Web Services
- Kubernetes
- Python
- Software Performance Management
- Grafana
- Continuous Integration
- Continuous Delivery
- DevOps
- Change Management
- Communication
- Collaboration
- LangChain
- Vector Databases
- High Performance Computing
- Supply Chain Management
- Predictive Analytics
- Artificial Intelligence
- Summary Overview BigBear.
Infrastructure Design:
Design, implement, and optimize infrastructure for AI model inference at scaleAI Services Development:
Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologiesProblem Solving:
Navigate ambiguity and define solutions for underspecified systems and requirementsTechnology Adoption:
Drive adoption of new technologies and practices across engineering teamsMonitoring & Observability:
Implement monitoring, logging, and observability solutions for AI servicesAutomation:
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) principlesReliability:
Ensure high availability, reliability, and performance of AI platform componentsSecurity:
Contribute to security best practices for AI systems and dataMentorship:
Provide technical guidance and informal mentorship to junior engineers What you need to haveClearance:
Must possess and maintain an active TS/SCI w/PolygraphEducation & Experience:
- 8 years of experience with a B.S. in a technical discipline or 4 additional years of experience in place of a degree
Technical Expertise:
- proficiency in Java and Python.
- Proven experience building and maintaining production systems at scale
- Experience with high-volume web application architecture and performance optimization
- Strong background in systems integration across diverse technologies and platforms
- Hands-on experience with cloud engineering in AWS
- Proficiency with Kubernetes administration and deployment patterns
- Strong Python programming skills
- Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus)
- Familiarity with CI/CD pipelines and DevOps practices
- Strong change management and organizational influence skills
- Ability to thrive in ambiguous environments and create structure w needed
- Excellent communication and collaboration skills What we'd like you to have
AI Inference Expertise:
Experience with AI inference serving technologies (e.g., vLLM, LiteLLM)Agentic Frameworks:
Previous experience with agentic frameworks (e.g., LangChain)Vector Databases:
Knowledge of vector databases and embedding systemsDistributed Systems:
Experience with high-performance computing or distributed systems About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai onLinkedIn:
BigBear.ai andX:
BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.Similar remote jobs
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