Principal Full Stack Engineer
Tech Firefly
| Company | Tech Firefly |
| Category | Engineering |
| Location | Nashville |
| Remote | On-site (inferred) |
| Employment | Contract |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 24 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
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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