Senior Software Development Lead - R01571334

Lever, Inc.; Bengaluru; On-site; INR 2,600,000 - 4,800,000; Full time

Job summary

Lever, Inc. is seeking a Senior Software Development Lead in Bengaluru, India. You will steer the design of scalable .NET fullstack microservices, integrating AI-assisted code generation, automated testing, and robust CI/CD pipelines.

You will mentor engineers and collaborate with cross‑functional teams to optimize performance and delivery, leveraging Docker, Kubernetes, Kafka, and cloud platforms.

Qualifications

• Bachelor's degree in Computer Science or related discipline.
• Experience leading design and development of scalable .NET fullstack microservices.
• Experience with AI-driven code generation and automated testing.

Responsibilities

• Lead the design and development of scalable .NET fullstack microservices solutions.
• Architect and implement AI-driven tools for code generation, automated testing, and building robust automation test suites.
• Integrate AngularJS or React JS with .NET APIs for responsive user experiences.
• Develop and enhance CI/CD pipelines to automate build, test, and deployment processes.
• Leverage Docker and Kubernetes for scalable, resilient deployments.
• Utilize Kafka for efficient communication between distributed services.
• Mentor team members through code reviews and technical leadership.
• Collaborate with cross-functional teams to drive continuous improvement in software delivery.

Skills

Team leadership

Architecture design

CI/CD

DevOps

Performance optimization

Education

Bachelor's degree in Computer Science or related

Tools

.NET Core

C#

Microservices

AI code generation

AngularJS

ReactJS

SQL Server / Oracle

Kafka

Docker

Kubernetes

Azure / AWS

Job description

Senior Software Development Lead

Job requirements

Experience Range: 5 to 8 years of experience, including substantial hands‑on expertise in .Net fullstack development and AI-driven code generation, testing, and automation

Key Responsibilities

• Lead the design and development of scalable .Net fullstack microservices solutions, delivering high performance and reliability
• Architect and implement AI-driven tools for code generation, automated testing, and building robust automation test suites, achieving measurable improvements in development efficiency
• Integrate front‑end frameworks such as AngularJS or React JS with back‑end .Net APIs to deliver seamless and responsive user experiences
• Develop and enhance CI/CD pipelines to automate build, test, and deployment processes, reducing release cycle times
• Leverage containerization and orchestration technologies like Docker and Kubernetes to ensure scalable and resilient deployments
• Utilize messaging platforms such as Kafka to enable efficient communication between distributed microservices
• Mentor and guide team members through code reviews and technical leadership, fostering a culture of innovation and excellence
• Collaborate with cross‑functional teams to define technical requirements, establish best practices, and drive continuous improvement in software delivery

Required Skills

• .Net Core and C# development
• Microservices architecture and implementation
• AI tools for code generation and test automation (e.g., Copilot, TestGen)
• AngularJS or React JS
• .NET API development and integration
• SQL Server or Oracle RDBMS
• Kafka messaging platform
• Docker containerization
• Kubernetes orchestration

Preferred Skills

• Experience with advanced AI/ML frameworks for software engineering automation (such as TensorFlow, PyTorch, or Azure ML)
• Expertise in performance tuning and optimization of large‑scale distributed applications
• Knowledge of cloud‑native application development on Azure or AWS
• Familiarity with DevOps practices and infrastructure as code (e.g., Terraform, Ansible)
• Hands‑on experience with automated security testing tools (e.g., SonarQube, OWASP ZAP)

Desired Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
• Microsoft Certified: Azure Developer Associate or equivalent certification
• Relevant certification in AI or machine learning technologies, such as Microsoft Certified: Azure AI Engineer Associate