Senior Back End Engineer

Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting & dynamic industry.

ROLE PROFILE:

Develops and maintains server-side logic, databases, and APIs, ensuring scalability, security, and efficiency for analytical and AI powered applications.

KEY RESPONSIBILITIES:

•Develop and maintain robust backend systems ensuring high performance and reliability

•Develop RESTful or GraphQL APIs to connect frontend interfaces with server-side logic and third-party services

•Implement data protection measures, authentication protocols, and security best practices

•Identify and resolve bottlenecks in code, database queries, or infrastructure to enhance application speed and scalability

•Collaborate with cross-functional teams on system architecture and integrations

•Work closely with DevOps for CI/CD, deployment, and automation

•Write unit, integration, and end-to-end tests to ensure system reliability and troubleshoot production issues

PROFESSIONAL EXPERIENCE/ QUALIFICATION:

•5+ years of experience in backend software engineering

•Strong proficiency in Python and at least on other language (Golang, Rust, Java etc.) for backend development

•Experience in designing & implementing RESTful APIs or GraphQL services

•Experience with microservices architecture, messaging systems (e.g., RabbitMQ, Kafka), and distributed systems.

•Familiarity with API versioning, authentication mechanisms (OAuth, JWT), and best practices for secure API development

•Hands-on experience with containerization and orchestration (Docker, Kubernetes)

•Experience with cloud services (e.g., AWS, Azure) and tools like Git, Jenkins, or Terraform

•Experience in developing production-ready AI/ ML-powered solutions

•Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required