Job Description

Role Title:Senior Software Engineer IIPosition Summary:We are seeking an outstanding engineering talent with the experience to lead the design, solutioning, and delivery of large-scale enterprise Cloud-Native applications and Distributed Systems. The ideal candidate is product-focused, deeply passionate about solving complex problems, and excited about emerging technologies that drive innovation.This role requires an individual who can effectively communicate across all levels of the organizationupward to leadership and laterally across departmentsensuring that engineering efforts are aligned with business objectives. The candidate should demonstrate the ability to oversee multiple projects, ensuring successful completion within scope, time, and budget constraints.As a Senior Java Software Engineer, the candidate will play a key role in architecting and developing large-scale Distributed Systems and Application Platforms, working on high-performance, cloud-native microservices using Java 21+, Reactive Programming, Kubernetes, and AWS EKS. The candidate will have the opportunity to work with cutting-edge technologies, including Spring AI, LangChain4j, WebAssembly (WASM), eBPF, Agentic Computing, and Generative AI (GenAI), as well as contribute to the evolution of next-generation application architectures.Job Responsibilities:

• Lead the architecture, design, and solutioning of large-scale Distributed Systems and Application Platforms, ensuring high availability, resilience, and scalability.
• Design and optimize high-performance microservices using Spring Boot 3.x, WebFlux, and Reactive Kafka.
• Build and maintain RESTful APIs and gRPC services, following Hexagonal Architecture, Clean Code principles, and SOLID design patterns.
• Architect and implement large-scale Cloud-Native Applications using Microservices and Event-Driven Architectures with Kafka, Actor Frameworks, Service Orchestration, and Choreography patterns.
• Drive the development of Application Platforms, enabling faster microservice development, scalability, and self-service capabilities for engineering teams.
• Ensure high concurrency, scalability, and performance using GraalVM, Netty, Java NIO, Virtual Threads, and Actor Frameworks.
• Design and implement Observability, Monitoring, and Performance Optimization using OpenTelemetry and MicroMeter, integrating distributed tracing and logging.
• Work with SQL & NoSQL databases (MongoDB, Redis, PostgreSQL) to ensure efficient and scalable data access patterns.
• Architect and deploy highly scalable Cloud-Native Applications on AWS EKS, implementing Service Mesh (Istio) and Policy Enforcement (OPA).
• Stay at the forefront of emerging technologies, experimenting with and applying new innovations to modernize application architectures.
• Establish and enforce best practices in DevOps, GitOps, and CI/CD pipelines using ArgoCD, Jenkins, and GitHub Actions.
• Effectively communicate technical strategies and trade-offs to business stakeholders and senior leadership.
• Collaborate with cross-functional teams, including Product Management, DevOps, Security, and Infrastructure in an Agile (preferably SAFe) environment.
• Advocate for Engineering Excellence, Best Practices, and Open-Source contributions within the organization and the broader developer community.

Skill and Experience :

• 6-8 years of hands-on experience with Java 21+ and Spring Boot 3.x.
• Strong experience building and scaling large-scale Distributed Systems and Application Platforms.
• Highly skilled Kubernetes expert with deep expertise in Kubernetes Architecture & internals
• Experience implementing Kubernetes Design Patterns (such as Sidecar, Ambassador, and Adapter)
• Proficiency in writing Kubernetes Operators in Go and Java to automate the management of complex applications within Kubernetes
• Deep understanding of Kubernetes networking (CNI), storage (CSI), and scheduling mechanisms.
• Kubernetes ecosystem: Stay up to date with the latest Kubernetes features and CNCF projects (Istio, Cilium, KEDA, etc.).
• Strong knowledge of container runtimes (containerd, CRI-O, Docker).
• Experience with Helm and GitOps practices
• Expertise in Reactive Programming (Project Reactor, WebFlux, Reactive Kafka, Netty, NIO, Actor Frameworks).
• Deep understanding of Microservices Architecture, Event-Driven Design, DDD, and Kubernetes Patterns.
• Proven expertise in Concurrency, Java Virtual Threads, and Performance Optimization.
• Hands-on experience with AWS EKS, Docker, Kubernetes, Istio Service Mesh, and OPA.
• Strong knowledge of OpenTelemetry, MicroMeter, and Distributed Tracing.
• Proficiency with SQL & NoSQL databases (PostgreSQL, MongoDB, Redis).
• Experience implementing DevOps, GitOps, and CI/CD Pipelines (e.g., ArgoCD, Jenkins, GitHub Actions).
• Strong background in GraphQL, REST API Design, and gRPC.
• Experience with Spring AI and its integration into modern AI-powered applications.
• Experience with LangChain4j, leveraging LLMs (Large Language Models) for AI-driven applications in Java.
• Demonstrated ability to lead and manage multiple projects, delivering on time and within budget.
• Excellent verbal and written communication skills with the ability to articulate complex technical concepts to both business and technical audiences.
• Agile / Scrum / SAFe experience, with a strong product-oriented mindset.
• Strong passion for Emerging Technologies and their application in distributed computing and cloud-native development.
• Contributions to Open Source projects and relevant technology certifications.
• Experience in Full Stack Development with modern front-end technologies.
• Experience in Systems Integration, Package Analysis, and Software Delivery Processes.
• WebAssembly (WASM) experience for secure and high-performance execution of applications.
• eBPF (Extended Berkeley Packet Filter) expertise for networking, security, and observability optimizations in Kubernetes environments.
• Agentic Computing experience, particularly in autonomous agents and AI-driven orchestration.
• Generative AI (GenAI) experience, particularly in AI-powered software development and automation.
• Knowledge of AI/ML frameworks and Edge Computing.
• Data-Oriented Programming experience, optimizing data structures and processing patterns for high-performance, scalable applications.
• Java 21 Vector API expertise for high-performance computing and optimization of mathematical and data-processing workloads.

Education and Certifications:

• Undergraduate degree or equivalent experience / certification

Work location: Hyderabad, India.Work mode: HybridMarriotts core values:At Marriott, our make us who we are. We believe that success is never final. As we change and grow, the beliefs that are most important to us stay the sameputting people first, pursuing excellence, embracing change, acting with integrity, and serving our world. Being part of Marriott Tech Accelerator means being part of a proud history and a thriving culture.