Team Lead API Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Team Lead API Engineer based in India.

We are seeking a highly experienced API Engineer to lead the design and delivery of scalable integration solutions. This role focuses on building modern microservices, enterprise APIs, and event-driven architectures that enable business transformation. You will combine strong Java expertise with Python capabilities to develop reliable and efficient backend solutions. The position offers the opportunity to work with emerging AI technologies, automation frameworks, and cloud-based platforms. You will collaborate with engineering teams to improve developer productivity, system scalability, and operational excellence. This is an ideal opportunity for a technical leader passionate about innovation, responsible AI adoption, and next-generation integrations.

Accountabilities:: The Team Lead API Engineer will be responsible for driving the development of integration platforms, APIs, and AI-enabled automation solutions while guiding technical decisions and ensuring engineering excellence.

Design, develop, and maintain integration services and microservices using Java, Python, and relevant open-source frameworks.

Build scalable REST APIs and event-driven integrations using technologies such as Kafka, RabbitMQ, GraphQL, and AWS SQS.

Manage the complete API lifecycle, from architecture and development through deployment, monitoring, and optimization.

Develop and maintain solutions based on microservices architecture and asynchronous processing patterns.

Apply MuleSoft expertise to support API development, integrations, connectivity solutions, and advanced design patterns.

Leverage AI-assisted coding tools to accelerate software delivery, improve code quality, and enhance engineering productivity.

Explore and implement agentic integrations, AI-powered automation, and emerging technologies to improve business processes.

Apply responsible AI practices, including data privacy, governance, security considerations, and model evaluation.

Collaborate with cross-functional teams to modernize enterprise integrations and improve platform reliability.

Support technical mentoring, knowledge sharing, and best practices across engineering teams.

Requirements:

The ideal candidate brings strong backend engineering experience, expertise in API development, and the ability to lead technical initiatives in a fast-evolving technology environment.

7+ years of professional experience with Java development and several years of experience using Python as a secondary language.

Strong hands-on experience designing and building microservices architectures and managing end-to-end API lifecycles.

Proven experience developing REST APIs and working with event-driven architectures and asynchronous processing.

Experience with integration technologies such as Kafka, RabbitMQ, GraphQL, and AWS SQS.

Practical experience with MuleSoft API development, integrations, connectivity, or automation patterns.

Familiarity with cloud environments and CI/CD practices, preferably within AWS ecosystems.

Experience with AI-assisted development tools and an understanding of responsible AI principles.

Interest in AI automation, agentic workflows, open-source integration frameworks, and emerging developer productivity tools.

Strong problem-solving skills with the ability to adapt quickly to new technologies.

Excellent communication skills and the ability to collaborate effectively with technical and business stakeholders.

Benefits:

Opportunity to lead innovative API and integration projects using modern technologies.

Exposure to AI-driven development practices and emerging automation solutions.

Remote work flexibility within India.

Opportunity to work on enterprise-scale modernization initiatives.

Collaborative environment focused on continuous learning and technical growth.

Access to evolving cloud, AI, and integration technologies.

Career development opportunities through challenging technical projects.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1