Description
We are seeking a Software Engineering Manager to lead engineering delivery for a mission-critical Contact Center technology platform, with a primary focus on platform engineering (ReactJS + Java/Spring Boot + microservices) and equal depth in AI/GenAI engineering (Python + LLMs).
The platform is built with ReactJS (UI) and Java/Spring Boot (backend) and supports a highly integrated enterprise ecosystem. Alongside platform modernization and production stability, this role will design and deliver GenAI capabilities such as agent assist, summarization, knowledge retrieval, and workflow automation using LLMs, RAG, and agentic orchestration frameworks.
This role includes people leadership for a small team while remaining hands-on in architecture, code quality, and production issue resolution.
Responsibilities
Platform Engineering Lead design and delivery of enterprise-grade UI and backend services using ReactJS and Java/Spring Boot. Drive microservices architecture, API design, and integration patterns across a complex enterprise ecosystem. Own end-to-end delivery across SDLC: requirements, design, development, testing, deployment, and production support. Establish and enforce engineering best practices for code quality, automated testing, CI/CD, and DevOps. Optimize system performance for high-volume, real-time, latency-sensitive workflows.
GenAI / AI Engineering Design and build LLM-powered applications using Python for enterprise use cases (e.g., agent assist, summarization, knowledge retrieval, workflow automation). Implement RAG solutions (embeddings + retrieval + vector search) tuned for relevance, latency, and reliability. Build agentic workflows and tool-using patterns using frameworks such as LangChain / LangGraph (or equivalent orchestration approaches). Define and drive AI quality practices including evaluation, monitoring signals, accuracy tuning, and continuous improvement loops. Support LLM stack upgrades and AI platform evolution aligned to roadmap and operational requirements. Integrate GenAI services into platform workflows via well-designed APIs, service interfaces, and security/compliance-aligned patterns.
Production Reliability & Operational Excellence Own production stability for both platform and AI components; lead incident triage, root cause analysis, and preventative fixes. Drive observability improvements across systems: monitoring, logging, alerting, and reliability metrics for critical workflows. Ensure operational readiness for releases, peak events, and production rollouts.
People Leadership Manage, mentor, and develop engineers through coaching, feedback, and technical guidance. Build a culture of ownership, accountability, and engineering excellence. Support hiring and onboarding for blended platform + GenAI talent.
Qualifications
- Any bachelor’s degree
- 11 - 13+ years of software engineering experience with 2-4+ years in a technical lead or engineering manager role.
- Proven experience delivering large-scale distributed systems and owning production outcomes.
- Strong experience working in Agile/Scrum delivery models.
Required Technical Skills , Platform
- Strong experience with: Java, Spring Boot, REST APIs, microservices, ReactJS (or modern UI frameworks) and UI integration patterns
- Working knowledge of: Cloud (AWS/Azure) and OpenShift/Kubernetes, CI/CD and DevOps practices, Performance tuning and operational readiness for enterprise systems
Required Technical Skills , GenAI
- Strong hands-on experience with: Python for production services, LLMs, prompt engineering, embeddings, and retrieval patterns, RAG architectures and vector database concepts, Agentic orchestration (LangChain/LangGraph or equivalent)
- Experience operationalizing AI systems with focus on: Reliability, monitoring, evaluation, and continuous improvement
Work Hours: 11.30AM IST to 8.30PM IST