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indeed

Lead Software Engineer

Epiq
IND
Full-time
Director
Onsite
Discovered 4 weeks ago
Full-stack software developmentSolution designCloud engineeringData engineeringAI application developmentPython

Full Job Posting

Role overview

Hands-on technical leadership role combining software engineering with design and delivery of scalable enterprise solutions.

Works with product owners, business stakeholders, architects, data engineers, DevOps, and software engineers.

Software engineering responsibilities

  • Lead enterprise application, API, and service design, development, and delivery.
  • Drive architecture and translate business requirements into scalable technical solutions.
  • Guide engineering teams, lead design and code reviews, and mentor associate and senior engineers.
  • Implement microservices, integrations, reusable frameworks, and cloud-native applications.
  • Support security, compliance, performance, scalability, reliability, CI/CD, deployment automation, and observability.
  • Drive improvements to architecture, development standards, testing, and operational practices.

AI responsibilities

  • Lead AI-powered applications and intelligent automation, including RAG architectures and enterprise knowledge retrieval.
  • Build AI services using LLMs, vector databases, and AI orchestration frameworks.
  • Set generative AI engineering practices and guide prompt engineering, evaluation, and AI observability.
  • Identify AI use cases, evaluate technologies, and design integrations with enterprise systems, APIs, and data sources.
  • Promote responsible AI, security, compliance, and data governance; develop reusable accelerators and agent workflows.

Requirements and skills

  • Bachelor's or master's degree in Computer Science, Software Engineering, Information Technology, or a related field.
  • 8–12 years of professional software engineering experience.
  • Enterprise-scale application development using Python and/or Java.
  • Experience with distributed systems, APIs, microservices, and cloud-native architectures.
  • Experience building modern web applications using React or a similar front-end framework.
  • Expertise spanning full-stack development, solution design, cloud engineering, data engineering, and AI application development.

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