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This Expert Software Developer will serve as the primary technical SME for AI capabilities supporting the GEODS Data Catalog, focusing on automated metadata enrichment, semantic similarity search, vector indexing, entity extraction, and large-scale inference across heterogeneous geospatial datasets. Developers on GEODS routinely design and implement new custom features that solve unique problems, optimize legacy capabilities, and deliver enterprise-level data services. In this role, you will directly shape the evolution of the GEODS Catalog ecosystem and drive integration of advanced AI/ML solutions to enhance discovery, classification, and accessibility of mission-critical data.
Job Responsibility:
Lead the design and development of AI/ML features supporting metadata enrichment, entity extraction, content classification, and semantic match
Develop and integrate vector search, embeddings, RAG pipelines, and ML inference components into GEODS catalog services
Contribute to all phases of the software development life cycle
Write well-designed, testable, efficient, and maintainable code
Ensure designs follow specifications approved by customer
Contribute to planning and prioritization of work for future Program Increments
Recommend changes to improve established application and organizational processes
Prepare and produce releases of software components
Support formal testing and resolution of defects
Provide technical support and consultation for application and infrastructure defects and questions
Provide SME-level guidance to junior/mid-level developers, including technical reviews and mentoring
Collaborate with Data Engineers, Architects, and Product Management on catalog roadmap items
Requirements:
At least 6 years demonstrated experience with software development using SAFe or similar Agile methodologies, to include working with Scrum Masters and/or Product Owners to decompose high level requirements into actionable user stories
At least 6 years of demonstrated experience coding in Python or another language
At least 6 years of demonstrated experience with DevSecOps and CI/CD, specifically utilizing GitLab or similar Git repository
At least 6 years of demonstrated experience with Infrastructure as Code (IaC) such as Terraform
At least 6 years of demonstrated experience with Container and Orchestration technologies (e.g., Docker, Kubernetes, OpenShift)
Strong experience with AWS, including but not limited to EC2, DynamoDB, ECS, SQS/SNS, IAM, Lambda, and CDK
Strong experience with AI/ML, including at least one of: Embedding models (sentence-transformers, Titan, SageMaker JumpStart models), RAG pipelines, Vector stores (OpenSearch, Elasticsearch, Pinecone-like services), Metadata extraction and NLP pipelines, Batch/stream interface
Experience designing scalable APIs and backend services
Ability to clearly communicate, verbally and in writing, complex technical concepts and challenges/obstacles in a clear and direct manner
Active TS/SCI with the ability to obtain a Poly
Master’s degree plus 4 years experience, Bachelor’s degree plus 6 years experience, Associates degree plus 12 years experience, or a minimum of 15 years experience, in relevant field
Nice to have:
Cloud certification(s), preferably from AWS, OCI or Google Cloud
Familiarity with AI/ML, specifically Amazon SageMaker
Experience integrating AI into enterprise catalog systems
React or other front-end experience supporting AI-driven UI enhancements