Software Developer

Software Developer to support key member of a high-performing technical team.
We are looking for a motivated, forward-thinking engineer who is excited to contribute to new initiatives, adapt to evolving requirements, and learn emerging tools and technologies that enhance the value we deliver to our clients.
In this role, you will:
Support the evaluation and integration of AI capabilities to enhance data quality, fraud analytics, and automation within the Databricks environment.
Collaborate with data scientists to operationalize machine learning models, ensuring robust, scalable deployment within AWS environments.
Design, develop, test, and deploy ETL solutions
Collaborate closely with experienced engineers to modernize the edits ingestion pipeline, leveraging Java, Python, and Big Data technologies within an AWS cloud environment.
Work with core AWS services. Basic Qualifications: Strong hands-on experience developing, testing, and supporting ETL processes.
Proficiency in Java and J2EE architecture, including frameworks such as Spring Boot and Hibernate.
Experience implementing or supporting AI workflows and AI development of Agents and MCP Servers using Python libraries.
Practical experience using AI tools to accelerate development, testing, and deployment by rapidly transforming requirements into production ready code.
Practical experience integrating ML-driven components into production pipelines or data engineering workflows.
Hands on experience working with Snowflake and Databricks platforms, including data engineering workflows, optimizing queries and pipelines, managing scalable data solutions, and integrating cloud based analytics into enterprise environments.
Background in backend development with a focus on building scalable, secure server-side applications.
Ability to work effectively within a collaborative, team-oriented environment.
Strong communication skills for coordinating with internal development teams and external stakeholders.
Familiarity with Agile and SAFe methodologies. Preferred Qualifications:
Experience in healthcare industry analytics and data, preferably Medicare or Medicaid.
Data Science experience and Programming languages: Python or R
Knowledge of containerization and orchestration tools such as Docker, Helm, and Kubernetes
Experience with Test Rails
Experience deploying AI Agents and MCP Servers using AWS services.
Familiarity with Databricks Genie environment
Understanding of Responsible AI principles and applying them in regulated environments such as healthcare or federal programs. Education/Experience:
Bachelor s degree with 5 years of experience, Master s degree with 3 years of experience.