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Team Lead API Engineer
jobgether · India
About The Role
- **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.
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