Senior Backend Engineer – Java + Data Pipelines

2 days ago

Bengaluru, Karnataka, India Flexton Inc. Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Take a moment to read the full description before you apply — it'll help ensure it's the right fit for you

Role:
Sr. Software Engineer

Location
: Bengaluru, India (Hybrid) - Must be based out of Bengaluru

Domain
: Retail/eCommerce

Note:
We are looking for someone who can
join within 15–30 days
.

Must Have:
Proficient in Java, Spring Boot, RESTful APIs, and Data Structures & Algorithms, with hands-on experience in building, optimizing, and maintaining large-scale data pipelines and distributed data solutions, along with development, testing, and deployment expertise using GitHub, Docker, and Kubernetes.

About the Role:

We're looking for a
Senior Java Backend Engineer
with strong expertise in
Java, Spring Boot, and Data Pipeline development
to join our Cloud Data Technologies team. This role focuses on building, optimizing, and maintaining
large-scale data pipelines
and
distributed data systems
powering analytics and business insights.

Required Skills & Experience:

  • Bachlors or Masters in Engineering or related with 6+ years of hands-on experience in
    Java
    and
    Spring Boot
    .
  • Experience with large-scale
    Retail/eCommerce/Marketplace platforms
    .
  • Strong foundation in
    data structures, algorithms, and clean code principles
    .
  • Proficiency in
    SQL (Oracle, SQL Server, or similar)
    .
  • Experience in
    building and maintaining data pipelines
    and
    distributed data services
    .
  • Familiarity with
    graph databases
    (Neo4j, JanusGraph) and graph query languages.
  • Strong understanding of
    CI/CD pipelines (GitHub Actions, Jenkins)
    and version control.
  • Cloud-native experience with
    Docker
    and
    Kubernetes
    for deployment, scaling, and troubleshooting.
  • Exposure to
    monitoring and observability tools
    like Prometheus and Grafana.
  • Experience with
    streaming technologies
    (Kafka, Spark Streaming).
  • Familiarity with
    cloud platforms
    (AWS, GCP, or Azure).

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