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Salary
$24k – $57k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
DGLiger is an IT consulting company that enables digital transformation for organizations and specializes in the field of cloud computing, data engineering, data analytics, AI, IoT, and digital marketing.

Looking for a Backend engineer to work on our payment system to deliver the best payment experience for our customers.

Responsibilities:

  • Design large-scale systems with high complexity to support our high-throughput applications.
  • Understand how to leverage infrastructure for solving such large-scale problems.
  • Develop tools and contribute to open source wherever possible.
  • Adopt problem-solving as a way of life - always go to the root cause! Support the code you write in production.

Requirements:

  • 4+ years of experience using Java in a professional environment, or if you are a non-Java user, excellent skills in general-purpose programming languages, such as Scala, Python and Go.
  • Interest and ability to learn other coding languages as needed.
  • Experience with NoSQL databases and distributed cache.
  • Strong fundamentals in data structures, algorithms and object-oriented programming.
  • In-depth understanding of concurrency and distributed computing.
  • Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.
  • Business English or Japanese.

Preferred Qualifications:

  • Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, and database clients.
  • Experience with AWS services.
  • Experience in working on system development in finance, payment, or similar industries.
  • Experience in system design and development of web system which handles massive amount of transactions or require scalability.
  • Experience in microservices.
  • Leverage AI/LLM-based tools in daily workflows (e. g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Tech Stack:

  • We select the best combination of tech at times.
  • Java, Kotlin, Scala
  • Spring Boot, JUnit, Resilience4j, Feign
  • MySQL/AuoraDB, DynamoDB, ELK, Kafka, Redis, TiDB
  • Docker, Kubernetes, ArgoCD, AWS, GCP
  • GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, Snyk
  • BigQuery, Kibana, Spark
  • PlantUML, draw.io, miro.com
  • Slack, Zoom
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