Senior Software Engineer II

Lyric; Hyderabad; In loco; INR 4.000.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

Lyric, in Hyderabad, is seeking an experienced Backend Engineer to design, build, and own scalable microservices in a modern .NET/C# environment. You will architect data pipelines, work with AI/data teams to bring ML models into production, and integrate with external services to enable interoperable, secure systems.

You will collaborate with global product teams, provide technical guidance, and help shape Lyric's next-gen platform while staying ahead of emerging technologies.

Competenze

• Bachelor's degree in CS or equivalent practical experience.
• 8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems.
• Strong experience with SQL and NoSQL data stores.
• Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven ability to design for performance, reliability, and security in data-intensive systems.

Mansioni

• Design, develop, and maintain high-performance microservices in a .NET/C# environment.
• Architect and optimize data pipelines and storage solutions for AI-driven products.
• Collaborate with AI and data teams to productionize ML models.
• Build integrations with external services and APIs for scalable, interoperable solutions.
• Ensure security, scalability, and observability across distributed systems.

Conoscenze

C#/.NET

Microservices

SQL

NoSQL

Cloud platforms (AWS/GCP/Azure)

System architecture

Formazione

Bachelor's degree in Computer Science

Strumenti

Docker

Kubernetes

Descrizione del lavoro

We're a company at the intersection of FinTech and Healthcare, committed to simplifying healthcare payment integrity and creating value for health insurers, healthcare providers, and consumers. We're not a startup, but we move like one when it matters. Our Hyderabad office is a core innovation hub, not a satellite. Engineers here lead the design and build of new product capabilities used globally, working alongside our data scientists, architects, and product teams in the U. S.

The core responsibilities for the job include the following:

Build, Innovate, and Own:

• Design, develop, and maintain high-performance microservices in a modern way. NET/C# environment.
• Architect and optimize data pipelines and storage solutions that power our AI-driven products.
• Collaborate closely with AI and data teams to bring machine learning models into production systems.
• Build integrations with external services and APIs to enable scalable, interoperable solutions.
• Ensure robust security, scalability, and observability across distributed systems.
• Stay ahead of the curve, evaluating emerging technologies and contributing to architectural decisions for our next-gen platform.

Collaborate and Influence:

• We're expanding fast and hiring multiple engineers to shape Lyric's future from day one; you'll be building innovative products that make an impact.
• Partner with product managers, architects, and data scientists across global teams to align technical strategy with product vision.
• Be part of a team that values innovation, transparency, and shared ownership where engineers directly influence what gets built next.

Mentor and Elevate:

• Provide technical guidance and code reviews that raise the bar for quality and performance.
• Help create a growth-minded engineering culture that encourages experimentation, learning, and accountability.

Requirements:

• Bachelor's degree in computer science or equivalent practical experience.
• 8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems using C#/. NET and microservices architecture.
• Strong experience with SQL and NoSQL data stores.
• Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven ability to design for performance, reliability, and security in data-intensive systems.
• Excellent communication skills and ability to work effectively in a global, cross-functional environment.

Preferred Qualification:

• Startup experience. Specifically in building a product from 0 to 1
• Exposure to AI/ML-powered systems, data engineering, or large-scale data processing.
• Experience in healthcare or fintech domains.
• Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).