Senior Software Product Engineer
New
V
VetsEZHealthcare Technology
The candidate must reside within the continental US.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSDockerNode.jsArtificial IntelligenceKubernetesTypeScriptReactMicroservices
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
- 6+ years of professional software engineering experience, including experience designing and deploying AI-enabled systems in production environments.
- Experience implementing CI/CD pipelines, containerized deployments, and DevOps best practices.
- Experience designing and developing microservices, REST APIs, and distributed systems.
- Demonstrated experience applying Test-Driven Development (TDD) methodologies and automated testing practices.
- Strong experience with React, Node.js, and TypeScript.
- Experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar platforms.
- Experience with AWS services including Amazon Aurora (PostgreSQL), ECS, SQS, S3, and related cloud-native technologies.
- Experience building event-driven and data-intensive applications.
- Experience with container technologies such as Docker and Kubernetes.
- Proficiency with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
Responsibilities
- Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale.
- Architect and implement microservices-based solutions with clearly defined service boundaries, REST APIs, and asynchronous messaging patterns.
- Lead the development and deployment of AI-enabled systems that process structured and unstructured data to support intelligent decision-making.
- Drive Test-Driven Development (TDD) practices and maintain automated testing strategies across unit, integration, and contract testing.
- Design scalable cloud-native architectures and distributed systems that support mission-critical healthcare applications.
- Collaborate with product owners, engineers, and stakeholders to translate business requirements into production-ready technical solutions.
- Evaluate emerging AI technologies, frameworks, and tools to support innovation, modernization, and long-term scalability.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
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