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Production Support - Software Engineer II

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Onsite

Production Support - Software Engineer II

Deloitte US-India Offices

Production Support - Software Engineer II

Skills

SQL QueriesPythonJavaFlutterAIAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Required Qualifications

Experience

  • Proven experience owning production issues end-to-end — from initial log review and triage through root cause analysis to a shipped fix

  • 3 - 5 years of professional software engineering or production support experience

  • Background in insurance strongly preferred

Core Technical Skills

  • Full-stack development experience in Java and Python, comfortable reading and modifying code across the stack

  • Working knowledge of DevOps practices - CI/CD pipelines, monitoring, and cloud environments (AWS)

  • Exposure to agentic AI or LLM-based tooling, or strong interest in ramping up quickly on new AI systems

  • Familiarity with Flutter, or the ability to pick up a new front-end framework quickly

  • Comfortable troubleshooting data pipelines and writing SQL for root cause analysis

  • Experience with Insurance platform like Guidewire, Majesco, Origami or similar policy/claims administration platforms is a plus

  • Understanding of data and AI governance concepts (e.g., model risk, auditability, responsible AI, data privacy) in a regulated industry setting

Soft Skills

  • Strong sense of ownership - you see issues through to resolution rather than passing them along

  • Able to work independently and make sound judgment calls under the pressure of a live production issue

  • Clear communicator who can translate technical detail for both engineers and client-facing teams

  • Comfortable moving across the stack - frontend, backend, data, and infrastructure - as the day requires

Good to have

  • Experience supporting SaaS or platform products through periods of active growth and scale

  • Familiarity with agentic AI frameworks (e.g., LangGraph) or modern LLM-based tooling

Insurance industry experience, particularly with claims or policy administration systems

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