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Lead Full Stack Engineer - Data Structures and Algorithms

Exclusive opportunity

Hybrid

Lead Full Stack Engineer - Data Structures and Algorithms

Orcapod Consulting Services

Lead Full Stack Engineer - Data Structures and Algorithms

Skills

SQL QueriesDockerJavaMicroservicesKafkaRabbitMQJenkinsAIGitHubKubernetesAzure

11 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

8 October 2026

What they need


Key Position Details:

  • Role: Lead Full Stack Engineer (Grade 28)
  • Location: Bangalore
  • Work Timing: Night Shift (7:00 PM to 4:00 AM IST)
  • Notice Period: Up to 60 Days

Key Responsibilities:

  • Design, develop, and scale microservices, REST APIs, and distributed event-driven architectures.
  • Build and support real-time data processing solutions using Kafka or similar messaging platforms.
  • Modernize and migrate enterprise applications across on-premises and Azure environments.
  • Drive engineering excellence through code reviews, automated testing, CI/CD, and observability.
  • Leverage AI tools and technologies to boost development productivity and product capabilities.
  • Troubleshoot production issues, perform root cause analysis, and participate in on-call support for critical applications.

Required Qualifications:

  • Experience: 5+ years of core software engineering experience in a product-based or tech-driven organization.
  • Core Skills: Strong Data Structures & Algorithms (DS/Algo), Object-Oriented Design, and proficiency in Java (or equivalent primary back-end language).
  • Architecture & Messaging: Hands-on experience with microservices, high-volume REST APIs, Kafka, Event Hubs, or RabbitMQ.
  • Databases & Cloud: Strong experience with SQL/NoSQL databases and Azure cloud ecosystem/hybrid setups.
  • DevOps & Containers: Familiarity with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins, or Azure DevOps).
  • AI Familiarity: Comfort with AI-assisted dev tools (GitHub Copilot, Cursor, etc.) or building/integrating AI/LLM/RAG solutions is highly desirable.

Interview Process (3 Rounds):

  1. Round 1: Data Structures & Algorithms (DS & Algo)
  2. Round 2: High-Level Design (HLD / System Design)
  3. Round 3: Techno-Managerial (Face-to-Face)

If this opportunity aligns with your career goals and you are comfortable with the Bangalore location and Night Shift timing, please reply with your updated resume along with the following details:

  • Current CTC:
  • Expected CTC:
  • Notice Period / Last Working Day:
  • Current Location:
  • Comfortable with Night Shift (7 PM - 4 AM)? (Yes/No):

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