Sr Java Engineer (Google Cloud Platform & POS)

Resposibilities:

• Design, develop, and maintain scalable, high-availability backend services supporting order fulfillment and delivery workflows
• Lead technical design and drive architecture decisions for cloud-native, distributed, event-driven systems
• Build APIs and event-driven services integrating with POS, kitchen systems, delivery platforms, and external partners
• Own services end-to-end (design, implementation, deployment, observability, and reliability)
• Write clean, maintainable, and well-tested code while promoting engineering best practices
• Provide technical leadership through code reviews, mentoring, knowledge sharing and contributing to refinement of engineering standards
• Collaborate with external vendors and internal Product, QA, DevOps, development teams and Business Operations teams to deliver resilient, impactful solutions
• Troubleshoot and resolve complex production issues with a focus on performance, scalability, and reliability
• Participate in on-call rotations and lead incident response for critical systems

Qualifications:

• 8-10 years of software engineering experience building secure, scalable backend and/or distributed systems and leading software development teams
• Proven experience designing and operating high-scale, cloud-native microservices in production
• Strong proficiency back end Java and Spring Boot.
• Experience designing and consuming RESTful APIs and event-driven architectures
• Hands-on experience with cloud platforms (Google Cloud Platform preferred)
• Strong understanding of databases, messaging systems, and caching strategies
• Excellent problem-solving skills and sense of ownership
• Proven track record for designing/creating quality solutions with minimal input
• Strong communication skills and ability to influence technical direction
• Experience with Agile methodologies

Preferred:

• Experience in eCommerce, fulfillment, delivery, or restaurant technology domains
• Familiarity with microservices, Docker, and Kubernetes
• Experience with CI/CD pipelines and infrastructure-as-code (e.g. Terraform, Jenkins, Harness)
• Knowledge of POS systems
• Experience supporting mission-critical systems with strict uptime, latency, and SLA requirements
• Experience with AI tools and technology
• Python experience

Current Tech Stack

• Backend: Java 17-25, Spring Boot 3+, some Python/JS
• Cloud Platform: Google Cloud Platform (Cloud Run, Pub/Sub, Firestore, GKEE, GSM, etc)
• Architecture: Event-driven microservices, asynchronous processing, webhook ingestion, RESTful APIs
• Infrastructure: Terraform, GKE and serverless deployments
• Data & Messaging: Firestore (NoSQL), Spanner, MySQL, Pub/Sub, HTTP APIs
• Observability: Splunk (logging/search), AppDynamics (APM), structured logging with MDC
• Build & CI/CD: Gradle, Jib, Jenkins/Harness pipelines
• Integrations: POS systems, delivery platforms, external vendor APIs
• Tools: Jira, Lucid, Confluence, BitBucket, Gemini (for AI)

Regards,

GAURAV M DUBEY

Technical Lead - Talent Acquisition

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P: +1 , Extn # 341

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