Software Engineering Manager - HIH - Evernorth

Role Title - Software Engineering Manager

Position Overview

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

• 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

Education: Any bachelor s degree

Experience:

• 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

• Java, Spring Boot, REST APIs, microservices
• ReactJS (or modern UI frameworks) and UI integration patterns
• Cloud (AWS/Azure) and OpenShift/Kubernetes
• CI/CD and DevOps practices
• Performance tuning and operational readiness for enterprise systems

Required Technical Skills - GenAI

• 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

• Reliability, monitoring, evaluation, and continuous improvement

Leadership & Collaboration

• Strong stakeholder management and communication skills; ability to translate requirements into technical execution.
• Comfortable providing hands-on technical leadership during design reviews and production scenarios.

Preferred Qualifications

• Experience in Healthcare or Pharmacy Benefit Management (PBM) domain
• Experience with Contact Center platforms, agent workflows, or CRM-integrated systems.
• Experience delivering AI-powered enterprise features (agent assist, summarization, knowledge systems, workflow automation).
• Certifications in Cloud, Kubernetes, or Agile are a plus.

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