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# Sr Engineering Manager_FullStack Java

- **Company:** AI-Assisted High Performance Coaching, LLC
- **Location:** Nashville, TN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Cloud Engineering, Software Code Optimization, Software Quality, Data Systems, DevOps, Distributed Systems, Python (Programming Language), PostgreSQL, Performance Tuning, Software Engineering, Google Cloud, Enterprise Software Applications, Cloud Platform System, Spring Cloud, Istio, Google Vertex AI, AI Coding Agents, Amazon Virtual Private Cloud (VPC), Backend, Agentic-AI, Git, Event Driven Architecture, AngularJS, Kubernetes, Deployment Automation, Claude, Terraform, Software Version Control, Microservices
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/b7e65946-3499-4f66-b3d1-b4aa9508da4e

## About the Role

* Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
 * Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

 * Strong 12+ years of software engineering experience with strong expertise in designing and delivering enterprise-scale solutions.
 * Deep expertise in Java Microservices architecture and backend development within large-scale distributed environments.
 * Strong hands-on experience with Python development for enterprise and cloud-native applications.
 * Extensive experience working with Google Cloud Platform (Google Cloud Platform), including GKE, GCS, VPC, and cloud-native architecture patterns.
 * Proven experience designing and implementing microservices, event-driven architectures, service mesh solutions, and distributed systems.
 * Strong expertise in Kubernetes, container orchestration, and cloud-native deployment strategies.
 * Experience leading architecture reviews, technical governance, engineering standards, and platform modernization initiatives.
 * Hands-on experience with Infrastructure as Code using Terraform and source control management using Git.
 * Strong database expertise with PostgreSQL and Google Cloud Spanner.
 * Experience leading engineering teams, mentoring developers, and driving technical delivery across multiple workstreams.
 * Strong system design, scalability, performance optimization, troubleshooting, and problem-solving skills.
 * Experience working within Agile delivery frameworks and managing complex technical programs.

Good to Have Skills

 * Experience with Angular for modern front-end application development.
 * Exposure to Agentic AI development frameworks and AI-assisted engineering workflows.
 * Hands-on experience with AI coding assistants such as Devin, Claude, or similar platforms.
 * Experience with Google Vertex AI and AI-enabled application development.
 * Healthcare domain experience.
 * Experience building platform engineering capabilities and developer productivity frameworks.

## Description

Principal Engineer responsible for leading the technical direction, architecture, and delivery of cloud-native healthcare platforms using Java, Python, Google Cloud Platform, Kubernetes, and modern distributed systems while mentoring engineering teams and driving engineering excellence., * Lead the design and development of cloud-native enterprise applications utilizing Java Microservices and Python-based services.

 * Own technical architecture decisions across distributed systems, microservices, service mesh, event-driven architecture, and platform modernization initiatives.
 * Provide technical leadership and architectural guidance to engineering teams, ensuring scalable, resilient, and secure solution design.
 * Drive the adoption of Google Cloud Platform services including GKE, GCS, and VPC to build highly available cloud-native applications.
 * Lead Kubernetes-based deployment strategies, container orchestration, and infrastructure scalability initiatives.
 * Establish and enforce engineering standards, development best practices, code quality, security controls, and architecture governance.
 * Collaborate with Product Management, Architects, Engineering Leaders, and Business Stakeholders to translate business objectives into technical solutions.
 * Design and optimize data solutions leveraging PostgreSQL and Google Cloud Spanner.
 * Drive Infrastructure as Code implementation using Terraform and Git-based DevOps workflows.
 * Mentor senior engineers and technical leads while fostering engineering growth and technical excellence across teams.
 * Lead performance tuning, system optimization, troubleshooting, and root cause analysis for complex production environments.
 * Evaluate emerging technologies and drive innovation through AI-assisted engineering practices and cloud-native modernization strategies.
 * Contribute to technical roadmaps, platform strategy, and long-term architectural evolution.