Design and develop REST and GraphQL APIs following industry best practices
Optimize application performance for speed, scalability, and responsiveness
Implement automated testing strategies to ensure reliability and maintainability
Collaborate with cross-functional teams to define, design, and deliver new features
Write clean, efficient, and maintainable code aligned with coding standards
Participate in code reviews to ensure code quality and knowledge sharing
Resolve bugs and troubleshoot production issues with attention to root cause
Contribute to system architecture design, scalability discussions, and security reviews
Drive integration of AI and automation capabilities into development and deployment workflows
Manage CI/CD pipelines and DevOps workflows using tools such as Jenkins, GitHub, Docker, Kubernetes, and Terraform to streamline integration, testing, and deployment across environments

Be Prepared What You Bring

4 - 6 years of experience in software development with a focus on backend systems, DevOps, and cloud-native applications using Python
Experience with AI services, including OpenAI and AWS AI offerings
Expertise in DevOps tools and practices, including Jenkins, Docker, Kubernetes, GitHub, and Terraform
Solid understanding of the finance domain and related business processes
Expertise in AWS services, including API Gateway, Lambda, S3, ECS, and RDS
Familiarity with Azure services, such as Functions, Storage, and Key Vault
Experience with database technologies, including both SQL and NoSQL systems
Experience in Bash scripting and Linux command-line tools
Knowledge of authentication and authorization frameworks, including OAuth and JWT
Hands-on experience with SOLID principles and design patterns
Experience with monitoring tools, such as NewRelic, Splunk, or Grafana
Bachelor s degree in computer science, engineering, or a related field

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