Lead Java Cloud Engineer

Key Responsibilities

• Lead, mentor, and grow a team of high-performing engineers, fostering a collaborative and innovative work culture.
• Recruit, onboard, and train top engineering talent, ensuring team members adhere to best development practices.
• Conduct regular performance reviews, one-on-ones, and knowledge-sharing sessions to drive continuous team improvement.
• Cultivate an Agile and DevOps culture, promoting ownership, accountability, and cross-functional collaboration.
• Lead the design, development, and deployment of Java-based microservices using Spring Boot, Hibernate, and RESTful APIs.
• Collaborate with business teams to translate functional requirements into robust technical solutions.
• Optimize application performance, reliability, and security through proactive monitoring and fine-tuning.
• Architect, build, and maintain microservices-based systems on cloud platforms like Azure, AWS, or GCP.
• Leverage cloud-based tools for monitoring, logging, and scaling production workloads.
• Work closely with Product Managers, Program Managers, and Business Leaders to align technical roadmaps with company goals.
• Translate complex technical challenges into actionable business solutions.
• Establish a culture of continuous learning and process enhancement within the engineering team.
• Promote automation, DevOps practices, and CI/CD pipelines to streamline deployments.
• Encourage the adoption of new frameworks, tools, and best practices to improve team efficiency and product quality.
• Ensure that applications comply with financial regulations, data security, and privacy standards (GDPR, PCI DSS, etc.).
• Proactively manage technical risks, vulnerabilities, and security incidents.
• Implement robust authentication, authorization, and encryption mechanisms for secure data transactions.
• Design and manage SQL/NoSQL databases, ensuring optimal performance for large-scale data processing.
• Integrate real-time data processing solutions, such as Kafka or Hadoop, to handle high-throughput workloads.

Requirements

• Education: Bachelor’s degree in computer science, Information Technology, or a related field.
• Experience: 10-12 years in Java development, with 5+ years of experience mentoring or coaching individual contributors.
• Technical Expertise: Java (Spring Boot, Hibernate), microservices architecture, RESTful APIs, SQL/NoSQL databases.
• Cloud & DevOps: Experience with AWS, GCP, or Azure, CI/CD pipelines, and version control (Git, Jenkins, Kubernetes, Docker).
• Agile & Collaboration: Strong understanding of Agile methodologies, team leadership, and cross-functional collaboration.
• Problem-Solving & Security: Proven ability to design and deploy secure applications in a regulated environment.

Preferred Qualifications

• Experience with Payment Tokenization and MDES: Seeking a seasoned engineer with proven experience in payments tokenization systems. The ideal candidate will have hands-on knowledge of the Mastercard Digital Enablement Service (MDES), including its APIs and integration patterns, token lifecycle for digital wallets.
• Expertise in Secure Credential Provisioning: A critical skill for this role is expertise in secure credential provisioning and token management. The candidate must be adept at building and maintaining services that provision payment tokens to digital wallets and other devices. This involves implementing robust security protocols, managing key and certificate lifecycles, and ensuring compliance with industry standards like EMVCo and Payment Card Industry Data Security Standard (PCI DSS).
• Integration of Azure Services with Payments Ecosystems: The role requires an individual who can architect and implement solutions using the Azure cloud platform to interact with the payments ecosystem. The candidate should be proficient in using Azure services like Azure Functions, Azure Key Vault, and Azure App Service to build secure, scalable, and resilient payment processing applications that integrate seamlessly with external services like MDES.
• A strong grasp of cloud security principles and best practices for handling sensitive data is essential.
• DevOps & Automation: Hands-on experience with Jenkins, Kubernetes, and cloud- based CI/CD pipelines.
• Full-Stack Exposure: Familiarity with front-end frameworks like React or Angular.
• Big Data & Messaging Systems: Knowledge of Kafka, Hadoop, and distributed data processing tools.