Senior Software Developer

We are seeking a hands-on API/AI Engineer with 9years of experience in multi-cloud environments (Azure, AWS), API lifecycle management, containerization (Docker, Kubernetes), and AI integration
In this role, youll lead the development of scalable, secure API and AI-driven solutions, drive automation, and collaborate across teams in a fast-paced, innovative environment, Key Responsibilities API Development : Design and develop RESTful APIs, gRPC, and GraphQL with integrated AI services for scalable, secure solutions, API Lifecycle Management : Oversee the full API lifecycledesign, deployment, monitoring, and deprecationensuring efficiency and security at every stage, Cross-functional Collaboration : Partner with product teams, data scientists, and architects to deliver end-to-end integrated solutions, Leadership: Demonstrated experience leading cross-functional teams and mentoring junior developers Proven ability to influence the adoption of best practices, guide Scrum teams, and drive the development of high-quality API solutions, Cloud & Infrastructure : Architect cloud-native applications in Azure and AWS, utilizing Docker and Kubernetes for container orchestration, Innovation : Innovate in automation, engineering practices, and CI/CD pipelines to improve development workflows, Mentorship & Knowledge Sharing : Mentor junior developers and foster a culture of continuous learning and knowledge sharing, Clear Communication : Communicate complex technical concepts to stakeholders and ensure alignment with business objectives, Solution Architecture : Guide cross-functional teams in solution design and ensure alignment with business goals and security best practices, Qualifications Experience : 9years in software development, with 5years hands-on experience in RESTful API design and Java , Spring Boot , NoSQL or RDBMS , Cloud Expertise : 3years in AWS or Azure cloud-native development, including containerization (Docker, Kubernetes), Technical Skills Deep expertise in managing the full API lifecycle, designing APIs (REST, GraphQL), and creating optimized API solutions for AI-driven applications Experience with API management platforms such as MuleSoft, APIGEE, Kong API platforms or other integration platforms, Strong experience with EDI Enterprise Integration, Extensive hands-on experience with at least one cloud platform, such as AWS or Azure Experience with building cloud native API for an AI application using the Azure, AWS platforms Strong knowledge of API Gateway implementation, OAuth , JWT , and cloud security best practices, Experience in Agile and DevSecOps methodologies, Proficiency in distributed and scalable microservices architecture across multiple platforms, Solid understanding of cloud hosting (IaaS, SaaS), security architecture , and performance/scalability best practices,

Communication Skills : Ability to communicate complex technical details effectively to diverse audiences and ensure business alignment, Project Management : Experience managing the end-to-end API lifecycle of projects and working across multiple projects with varied stakeholders,

Ideally, You Also Have

Experience implementing cloud security controls such as encryption and vulnerability assessments, Experience leading digital transformation projects with a focus on API and microservices adoption, Knowledge of disaster recovery (DR) strategies for mission-critical technology components