Sr./Lead Developer – Java/AWS/API Engineer(Gen AI)

Company Description:

We operate globally and have operations in USA, UAE, South Africa, Singapore and plans to expand into Australia.

We are proud to be recognized as a Great Place to Work, a certification that reflects the trust, engagement, and satisfaction of our people. This award isn’t just a badge—it’s a testament to the culture we’ve built together. From open communication and inclusive values to growth-focused leadership, we’re committed to providing an environment where everyone feels empowered to thrive.

Technology excites us but ethics ground us! Everything we do is guided by a deep sense of purpose and responsibility to our people, our customers, and our planet. We're here to build not just great products, but a better world. At the heart of our success is a culture built on trust, respect, and collaboration. We believe that a supportive, open environment fuels creativity and drives bold ideas. Here, everyone has a voice and every voice matters.

Role Description:

•  Design and develop microservices and RESTful/GraphQL APIs using Java (Spring Boot).
•  Implement cloud-native architectures leveraging AWS services (Lambda, ECS/EKS, API Gateway, IAM, S3, RDS/DynamoDB).
•  Integrate Generative AI features into applications using frameworks and managed services.
•  Build and optimize data access layers for relational and NoSQL databases.
•  Ensure API security (OAuth2/OIDC, JWT, secrets management) and compliance with best practices.
•  Establish CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes/EKS).
•  Implement observability: logging, metrics, tracing, and alerting for production systems.
•  Collaborate with cross-functional teams to deliver scalable, reliable solutions.

Must-Have Skills:

•  5–8 years of experience in backend development with Java (8+) and Spring Boot.
•  Strong expertise in API design and development (REST/GraphQL).
•  Hands-on experience with AWS services: Lambda, ECS/EKS, API Gateway, IAM, S3, CloudWatch, and RDS/DynamoDB.
•  Database exposure: SQL (PostgreSQL/MySQL) and NoSQL (DynamoDB/DocumentDB).
•  Proficiency in API security, authentication, and authorization standards.
•  Experience with CI/CD, Docker, and Kubernetes.
•  Solid understanding of distributed systems, scalability, and performance tuning.

Preferred / Good-to-Have:

•  Experience integrating Generative AI (LangChain, RAG patterns, vector databases).
•  Familiarity with AWS Bedrock, Azure OpenAI, or Vertex AI.
•  Knowledge of event-driven architectures (Kafka, SNS/SQS).
•  Exposure to Infrastructure as Code (Terraform/CloudFormation).
•  AWS certifications (Solutions Architect, Developer, or equivalent).
•  Performance testing and JVM tuning experience.

Qualifications:

•  Bachelor’s/master’s degree in computer science or related field.
•  Strong problem-solving and communication skills.
•  Ability to work in agile environments and collaborate across teams.