Java Senior Engineer

Job Responsibilities

• Lead the design and development of enterprise-grade applications using Java, Python, and modern frameworks, ensuring performance, scalability, and security.
• Architect and deliver cloud-native solutions leveraging platforms such as AWS.
• Automate operational processes through Shell scripting and integration with CI/CD pipelines.
• Implement Identity and Access Management (IAM) and API security solutions using tools such as ForgeRock, Kong, and OIDC.
• Build and maintain CI/CD pipelines, ensuring efficient and reliable delivery of applications.
• Collaborate with stakeholders to gather business requirements and translate them into robust technical solutions.
• Document and present system architectures using Draw.io, ensuring clarity and stakeholder alignment.
• Ensure system integration and interoperability across multiple platforms and services.
• Conduct code reviews, mentor junior engineers, and foster a culture of technical excellence.
• Engage in troubleshooting, performance tuning, and production support for mission-critical applications.

Mandatory Skills:

• Strong expertise in Java.
• Over 10 years of enterprise application development experience.
• Hands-on experience with Python for backend services, scripting, and automation.
• Proficiency in Shell scripting for system automation and operational efficiency.
• Proven track record of designing and implementing cloud-native solutions across AWS.
• Hands-on experience with modern frameworks for building scalable, microservices-based architectures.
• Expertise in security solutions and IAM platforms, including ForgeRock, Kong, siteminder or OIDC.
• Good knowledge of application security practices (encryption, identity management, access controls, and compliance).
• Proficiency in CI/CD tools and pipelines for automated build, testing, and deployment.
• Ability to create and maintain architectural diagrams.
• Deep understanding of system integration, APIs, and web services (SOAP/REST).
• Ability to lead technical teams, mentor developers, and ensure adherence to best practices.
• Strong knowledge of AWS services for enterprise deployments.

Preferred Skills:

• Domain experience in capital markets, providing functional insights into financial systems.
• Familiarity with Airflow/Autosys for orchestrating and scheduling complex data workflows.
• Hands-on exposure to DevOps practices, infrastructure-as-code (IaC), and containerization (Docker, Kubernetes).
• Experience with agile methodologies, delivering incremental value while managing complexity.