SDE-3/Lead Backend Engineer (Java/Kotlin, Python, TypeScript)

About Junglee Games

Junglee Games is part of Flutter Entertainment, the world's leading iGaming and sports entertainment group listed on the New York Stock Exchange (NYSE: FLUT).

With over 150 million users, Junglee Games is a leader in the game-tech space. Founded in San Francisco in 2012, we are revolutionising how people play games. Our notable free-to-play titles include Howzat, Junglee Rummy, and Junglee Poker , built to deliver engaging, scalable, and trusted gaming experiences.

Joining Junglee Games means working at the intersection of India’s fast-growing gaming ecosystem and joining Flutter Entertainment’s global talent community, shaping the future of digital entertainment.

We’re not just a gaming business; we’re a powerful combination of data science, innovation, cutting-edge technology, and a values-driven culture building the next generation of conscious leaders. Our engineering organisation runs a polyglot monorepo powering dozens of services across the full stack, built with modern frameworks, event-driven architectures, and cloud-native infrastructure on AWS.

Job Location: Bangalore/ Gurgaon

Role Overview

We are looking for a highly skilled SDE-3/Lead Backend Engineer with strong expertise in Java-based backend systems . You will be responsible for designing scalable architectures, leading engineering initiatives, and mentoring team members while delivering high-performance distributed

systems.

Key Responsibilities

• Design, develop, and maintain scalable, high-availability backend systems using Java
• Lead end-to-end system design and architecture discussions
• Drive best practices in coding, performance optimization, and reliability
• Collaborate with cross-functional teams (Product, QA, DevOps)
• Own critical services and ensure uptime, performance, and security
• Conduct code reviews and mentor junior engineers
• Improve system observability using logging, monitoring, and alerting tools
• Handle production issues and drive root cause analysis (RCA)
  
  

Technical Skills Required

• Strong proficiency in Java (8+) and core concepts (Collections, Multithreading, JVM tuning)
• Experience with frameworks like Spring Boot
• Hands-on experience with RESTful APIs and microservices architecture
• Strong understanding of Data Structures & Algorithms
• Experience with databases: MySQL / PostgreSQL (SQL), DynamoDB / MongoDB
• Messaging systems: Kafka / RabbitMQ
• Familiarity with AWS
• Experience with Docker & Kubernetes
• Knowledge of CI/CD pipelines
• Experience with monitoring and logging tools such as AWS CloudWatch
• Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude) to accelerate coding, debugging, and documentation
• Use AI to speed up code reviews, identify potential bugs, and suggest optimizations
• Apply AI tools in system design exploration and solution prototypingGood to Have
• Experience with event-driven architecture
• Exposure to system design at scale (high TPS systems)
• Knowledge of caching (Redis, Memcached)
• Experience in distributed tracing and monitoring tools (Prometheus, Grafana, ELK)
  
  

Leadership Expectations (SDE-3 / Lead Level)

• Drive technical roadmap and architectural decisions
• Mentor and guide team members
• Ensure engineering quality and delivery timelines
• Participate in hiring and team building
• Ability to balance hands-on coding with leadership responsibilities
  
  

Qualifications

• Bachelor’s/Master’s in Computer Science or related field
• 5–10+ years of backend development experience
• Proven experience in building scalable production systems
  
  

What We’re Looking For

• Strong problem-solving mindset
• Ownership and accountability
• Ability to work in a fast-paced, high-impact environment
• Excellent communication and collaboration skills
  
  

Bonus Points

• Experience working in polyglot environments (Java + Node.js)
• Strong hands-on with Infrastructure as Code (AWS CloudFormation / Terraform)
• Experience designing cloud-native architectures on AWS
• Exposure to high-scale systems (millions of users / high TPS)
• Prior experience in fintech, payments, or data-intensive platforms
• Demonstrated leadership in driving engineering best practices or platform initiatives