Lead Member of Technical Staff (LMTS)
Company: athenahealth
Location: Chennai, Tamil Nadu, India (Hybrid)
Job Type: Full-Time
Experience: 8 – 13 Years
Qualification: Bachelor’s Degree in Computer Science / Engineering or related field
Approx Salary: ₹35 LPA – ₹60 LPA
Job Overview
athenahealth is hiring a Lead Member of Technical Staff (LMTS) to lead the design and development of scalable backend systems that enhance healthcare interoperability. The role involves architecting microservices, leading engineering teams, and delivering cloud-based healthcare solutions that improve operational efficiency and patient care outcomes.
Key Responsibilities
1. Backend Architecture & Development
Lead technical design and architecture of backend services using Java and Spring Boot.
Develop scalable microservices-based systems for healthcare data exchange.
Ensure systems are secure, reliable, and maintainable.
2. Cloud & Infrastructure Management
Build and manage cloud-native applications on AWS.
Utilize services such as EC2, ECS/EKS, Lambda, RDS, S3, and CloudWatch.
Implement containerization and orchestration tools like Docker and Kubernetes.
3. Engineering Leadership
Mentor and guide software engineers and technical team members.
Provide performance feedback and support professional development.
Participate in hiring and technical interviews to grow the engineering team.
4. DevOps & Operational Excellence
Implement CI/CD pipelines, automated testing, and monitoring systems.
Improve system reliability through incident response and observability practices.
Monitor system performance and optimize capacity, scalability, and cost efficiency.
5. Cross-Team Collaboration
Work closely with product managers, architects, and platform teams to convert business requirements into technical solutions.
Coordinate integration efforts across teams to ensure secure API design and interoperability.
6. AI & Emerging Technology Integration
Design and integrate AI-enabled features and machine learning solutions into production systems.
Work with AI/ML and LLM platforms for model evaluation, prompt design, and safe deployment practices.
Required Skills
Technical Skills
Strong programming expertise in Java and Spring Boot
Experience building microservices architectures
Hands-on experience with AWS cloud services
Knowledge of CI/CD pipelines, automated testing, and DevOps practices
Experience with Docker, containerization, and orchestration tools
Soft Skills
Strong leadership and mentoring skills
Problem-solving and analytical thinking
Effective collaboration with cross-functional teams
Excellent communication and technical documentation abilities
Preferred Skills
Experience designing AI-enabled systems or machine learning integrations
Knowledge of healthcare interoperability standards and data exchange systems
Experience in large-scale distributed systems and cloud-native architectures
Benefits
Health and financial benefits packages
Flexible hybrid work model
Employee assistance programs
Tuition assistance and professional development opportunities
Employee resource groups and inclusive workplace culture
Company-sponsored events such as hackathons, tech talks, and learning programs
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