Companies Tech Firefly Principal Full Stack Engineer

About the role

Tech Firefly · Onsite

We are seeking a Principal Full Stack Engineer to lead the architecture, design, and modernization of our enterprise healthcare platforms. In this role, you will bridge deep backend expertise with modern cloud-native architectures to build scalable, secure, and resilient distributed systems.

Location: Remote with an initial travel requirement (~50% travel for the first 3 months, scaling down to ~25% thereafter). While open to remote candidates across the US, proximity to Nashville, TN is a strong plus.

Pay: $120-130/hour

Contract Length: 12+ Months

Responsibilities

  • Lead the technical direction for robust, cloud-native microservices and event-driven architectures.
  • Write clean, production-grade code in Java and Python while mentoring senior engineering talent.
  • DevOps best practices, leveraging Terraform and Git to automate environment provisioning and deployments on GCP.
  • Design high-performance relational and distributed databases using PostgreSQL and Google Cloud Spanner.
  • Integration of Agentic AI, Google Vertex AI, and AI-assisted development workflows (e.g., Devin, Claude) to accelerate delivery.

Requirements

  • 12–15 years of experience in software engineering, with a proven track record in a Principal or Lead capacity.
  • Previous experience within the Healthcare sector is highly preferred.
  • Expert-level knowledge of Java Microservices and Python.
  • Hands-on experience with Google Cloud Platform (GCP), specifically GKE (Google Kubernetes Engine), GCS, and VPC.
  • Advanced proficiency with Terraform and Git-based workflows.
  • Strong experience with PostgreSQL and/or Google Cloud Spanner.
  • Deep understanding of distributed systems, service mesh, event-driven architectures, and cloud-native design patterns.

Nice to Have

  • Angular.
  • Hands-on experience with Agentic AI frameworks and Google Vertex AI.
  • Experience leveraging AI-assisted coding tools (e.g., Devin, Claude) to optimize development velocity.
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