Sr Engineering Manager_FullStack Java

Job Description

Principal Engineer

Experience: - 12+ Years

Location: Nashville, TN (Remote).

What is in it for you?

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.

Responsibilities: -

• 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.

Educational Qualifications: -

• 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.