Senior Engineering Manager / Lead Software Engineer

Full time @GiftAbled in Information and Technology
  • Post Date : March 5, 2026
  • Apply Before : March 10, 2026
  • 0 Application(s)

Job Detail

  • Job ID 525988
  • Career Level  Manager
  • Experience  8 Years +
  • Gender  Any
  • Industry  Development
  • Qualifications  Degree Bachelor
  • PwDs  Locomotor Disability
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Job Description

Locations: Pune & Bangalore
Eligibility: Open to Persons with Disabilities (PwD) Only
Employment Type: Full-Time

Role Overview

We are seeking an experienced and strategic Senior Engineering Manager / Lead Software Engineer with 15–18 years of experience in full-stack and distributed systems development.

This role requires a strong technical leader capable of architecting scalable digital platforms, modernizing legacy systems, integrating AI-driven capabilities, and leading geographically distributed engineering teams. The candidate will be accountable for product success, platform stability, architectural decisions, and KPI-driven outcomes.

Core Technical Expertise Required

Backend & Distributed Systems

  • 15–18 years of hands-on experience in Java, Spring Boot, Kafka, and SQL
  • Strong experience in designing scalable microservices architectures
  • Expertise in event-driven and cloud-native systems
  • Experience with ETL tools (Ab-initio) for data orchestration
  • Familiarity with Big Data tools such as Spark and Hadoop

Front-End Development

  • Strong proficiency in React
  • Experience building reusable, modular, scalable UI components
  • Integration of front-end with complex backend services

Cloud & DevOps

  • Proven experience in Azure cloud-native architectures (preferred)
  • CI/CD implementation and DevOps best practices
  • Experience in observability, monitoring, performance tuning, and optimization
  • Production ownership and reliability engineering

AI & Emerging Technologies

  • Experience integrating LLMs (Large Language Models)
  • Hands-on knowledge of LangChain
  • Experience building Agentic AI workflows
  • Deployment of AI-driven services into production environments

Key Responsibilities

Architecture & Technical Leadership

  • Design and implement scalable microservices and high-volume data pipelines
  • Lead modernization of legacy systems into event-driven, cloud-native architectures
  • Architect digital products using modern frameworks, tools, and methodologies
  • Own production applications and ensure platform reliability and performance

AI & Platform Innovation

  • Design and implement intelligent agents using LangChain and LLM frameworks
  • Integrate AI capabilities to automate workflows and enhance platform intelligence

Collaboration & Stakeholder Engagement

  • Partner with architects, product managers, and business stakeholders to align technical and business goals
  • Drive cross-functional collaboration across geographies

Team Leadership & Mentorship

  • Lead and mentor distributed engineering teams
  • Provide guidance in planning, task definition, reporting, and problem-solving
  • Promote continuous improvement through retrospectives and structured reviews

DevOps & Operational Excellence

  • Champion CI/CD, security, observability, and performance best practices
  • Implement monitoring and performance testing frameworks
  • Ensure compliance with enterprise data governance and security standards

Required Qualifications

  • 15–18 years of relevant engineering experience
  • Proven experience leading large-scale distributed teams
  • Strong track record of delivering complex, data-intensive platforms
  • Experience in cloud-native and event-driven architectures
  • Bachelor’s degree in Engineering or equivalent experience

Preferred Skills

  • Hands-on experience building AI-driven production systems
  • Expertise in stream processing and distributed event architectures
  • Knowledge of enterprise data governance, security, and compliance frameworks

 


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