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 SQLStrong experience in designing scalable microservices architecturesExpertise in event-driven and cloud-native systemsExperience with ETL tools (Ab-initio) for data orchestrationFamiliarity with Big Data tools such as Spark and Hadoop
Front-End Development
Strong proficiency in ReactExperience building reusable, modular, scalable UI componentsIntegration of front-end with complex backend services

Cloud & DevOps
Proven experience in Azure cloud-native architectures (preferred)CI/CD implementation and DevOps best practicesExperience in observability, monitoring, performance tuning, and optimizationProduction ownership and reliability engineering

AI & Emerging Technologies
Experience integrating LLMs (Large Language Models)Hands-on knowledge of LangChainExperience building Agentic AI workflowsDeployment of AI-driven services into production environments

Key Responsibilities
Architecture & Technical Leadership
Design and implement scalable microservices and high-volume data pipelinesLead 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 frameworksIntegrate 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 goalsDrive cross-functional collaboration across geographies
Team Leadership & Mentorship
Lead and mentor distributed engineering teamsProvide guidance in planning, task definition, reporting, and problem-solvingPromote continuous improvement through retrospectives and structured reviews
DevOps & Operational Excellence
Champion CI/CD, security, observability, and performance best practicesImplement monitoring and performance testing frameworksEnsure compliance with enterprise data governance and security standards

Required Qualifications
15–18 years of relevant engineering experienceProven experience leading large-scale distributed teamsStrong track record of delivering complex, data-intensive platformsExperience in cloud-native and event-driven architecturesBachelor’s degree in Engineering or equivalent experience

Preferred Skills
Hands-on experience building AI-driven production systemsExpertise in stream processing and distributed event architecturesKnowledge of enterprise data governance, security, and compliance frameworks