Sr. Engineer - Backend

6 - 10 years

8 - 12 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Engineering
FTE - IntraEdge

Position Overview:

We are seeking a

Senior Backend Engineer

with strong experience in

Functional Java

,

SpringBoot

, and distributed systems. The ideal candidate will also bring hands-on knowledge of

Apache Kafka

,

Redis

, and cloud-native development on

Google Cloud Platform (GCP)

. A working understanding of

Large Language Models (LLMs)

and AI service integration will be considered a strong plus.

Job Requirements

Key Responsibilities:

  • Design, develop, and maintain scalable

    microservices

    using

    Functional Java

    and

    SpringBoot

  • Architect and implement

    real-time data pipelines

    and

    event-driven systems

    using

    Apache Kafka

  • Integrate

    Redis

    for performance-optimized caching and session management
  • Build and deploy containerized services using

    Docker

    on

    GCP

    (Cloud Run, GKE, Pub/Sub, etc.)
  • Collaborate with data science and product teams to incorporate

    pre-trained LLMs

    (e.g., OpenAI, Hugging Face models) into backend workflows
  • Participate in

    system architecture discussions

    , performance tuning, and design reviews
  • Ensure

    test coverage

    and continuous delivery through robust CI/CD pipelines
  • Troubleshoot complex issues in

    distributed environments

    and resolve production incidents swiftly

Required Skills Experience:

  • 6-10 years of backend engineering experience
  • Strong proficiency in

    Java

    , ideally with

    Functional Programming

    practices
  • Expertise in

    SpringBoot

    and microservice architecture
  • Deep hands-on experience with

    Apache Kafka

    for stream processing and event-driven design
  • Solid knowledge of

    Redis

    for caching, message brokering, and performance tuning
  • Practical experience with

    GCP services

    : Cloud Run, GKE, Pub/Sub, Storage, IAM
  • Familiarity with

    LLM concepts

    (prompt engineering, APIs for model access, basic NLP tasks)
  • Experience with

    RESTful APIs

    , API security, and integration patterns
  • Proficient in

    Docker

    , Git, and building/maintaining

    CI/CD pipelines

  • Strong analytical, debugging, and performance tuning skills in cloud-native environments

Preferred Qualifications:

  • GCP certification or prior experience deploying production-grade systems on GCP
  • Exposure to

    AI/ML integration workflows

    , especially model orchestration and prompt testing
  • Experience working in Agile/Scrum teams with a DevOps mindset
  • Contributions to open-source projects or backend engineering blogs

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