Senior Software Engineer
About The Position
In this role, you will design, develop, and support scalable backend systems, cloud infrastructure, and data platform capabilities that power AI/ML products and healthcare analytics solutions. You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver secure, reliable, and maintainable software while contributing to engineering standards, operational excellence, and continuous innovation.
Requirements
- 5 or more years of relevant experience required.
- Strong Python or Java development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications required.
- Experience with AWS, Azure, GCP, or similar cloud platforms and infrastructure-as-code tools such as Pulumi or Terraform required.
Nice To Haves
- Relevant degree preferred.
- Experience building data-intensive applications, data platforms, data pipelines, ETL/ELT processes, or modern data engineering solutions highly preferred.
- Experience supporting machine learning systems, model serving, LLM applications, RAG workflows, agentic AI solutions, or related AI technologies highly preferred.
- Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure automation, and cloud deployment practices preferred.
- Experience leveraging AI-assisted development tools and validating AI-generated code in production environments preferred.
- Experience with Databricks, Snowflake, Azure AI Foundry, observability platforms, monitoring, logging, tracing, or production support practices preferred.
- Experience working with healthcare data, healthcare technology platforms, or healthcare analytics solutions highly preferred.
Responsibilities
- Design, develop, and maintain backend services, APIs, distributed systems, and platform components that support AI/ML applications and healthcare analytics solutions.
- Build and support cloud infrastructure, containerized environments, CI/CD pipelines, and deployment workflows using infrastructure-as-code frameworks.
- Develop data-intensive applications, data pipelines, and cloud-based data platforms that enable analytics, artificial intelligence, and machine learning initiatives.
- Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications, RAG pipelines, and agentic AI solutions in production environments.
- Leverage AI-assisted development tools to accelerate software delivery while ensuring code quality, security, maintainability, and reliability.
- Validate, test, and optimize software solutions, including AI-generated code, to ensure performance, scalability, and production readiness.
- Implement monitoring, logging, tracing, alerting, and operational support practices to improve system reliability and performance.
- Apply engineering standards for testing, security, scalability, cost efficiency, and software development best practices.
- Partner with product, data, platform, security, and business teams to deliver production-ready solutions and support technical design discussions.
- Mentor team members through code reviews, technical collaboration, and knowledge sharing.
Benefits
- Comprehensive benefits plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
