Senior Java Software Engineer

Tech Stack

Backend & Infrastructure:

• Java (Spring Boot), Microservices, AWS ECS
• Redis, ScyllaDB, MongoDB, GraphQL
• Kafka, SQS, MySQL, Aurora

Platform & DevOps:

• AWS, GitHub Actions, CI/CD, Docker
• IAM, Cognito

Data & AI:

• Databricks, Spark, Kinesis
• Claude, Cursor, LangChain, RAG pipelines

Observability:

• Prometheus, Grafana, CloudWatch

Engineering Excellence:

• JVM tuning, GC profiling, circuit breakers
• Async tracing, developer tooling, self-serve platforms

Role Overview

hands-on technical leaders

own multiple initiatives or projects end-to-end

Key Responsibilities

Technical Leadership & Architecture

• Drive system design, platform architecture, and self-serve engineering capabilities across high-scale microservices and real-time data pipelines
• Build scalable and resilient systems using Java (Spring Boot), Event-Driven Architectures, and NoSQL (ScyllaDB/MongoDB)
• Solve real-time, high-throughput challenges across search, pricing, availability, and booking workflows

Project Ownership & Delivery

• Own end-to-end delivery of critical initiatives, from scoping and design to deployment and scaling
• Lead and manage multiple projects simultaneously—be accountable for quality, performance, and timelines
• Lead by example as a hands-on developer, picking up the most complex pieces and turning ambiguity into working software

Collaboration & Innovation

• Embrace AI-powered development methodology (Claude, Cursor) to increase product release velocity and build accuracy
• Collaborate across teams (Product, Infrastructure, Data, Architects) with a mindset of ownership and partnership
• Conduct rigorous design and code reviews with attention to clean code, performance, and maintainability

Requirements

Essential Experience

• 7–12 years of backend development experience

  with deep focus on

  Java (Spring Boot, Hibernate)

• Proven track record

  in owning systems, influencing architecture, and delivering critical projects independently or in small teams

Technical Expertise

• Distributed Systems:

  Event-driven architectures, SQS/Kinesis, backpressure, and fault tolerance

• Database Systems:

  ScyllaDB, MongoDB, or other NoSQL databases

• Performance Engineering:

  Performance profiling, memory management, and latency optimizations

• Systems Design:

  Deep understanding of consistency models, circuit breakers, low-latency design, and platform reliability

Leadership & Culture

• Experience driving an

  automation-first culture

  , building tools, frameworks, or internal platforms
• Familiarity with observability tools:

  Grafana, Prometheus, CloudWatch

• Goal-driven professional

  who focuses on driving measurable results and can effectively prioritize activities that directly contribute to business objectives

• Self-starter, go-getter, and problem solver

  with a growth mindset
• Comfortable in

  remote-first, async, and ownership-heavy environments

Nice to Have

• Experience with

  LLM pipelines, RAG, or agentic AI workflows

• Exposure to

  Databricks, Spark

  , or other large-scale data processing frameworks
• Experience building

  internal platforms or golden paths

  to accelerate engineering teams
• Knowledge of

  React

  or full-stack systems
• Prior experience in

  B2B marketplaces or travel-tech