Lead Software Engineer
Epiq (company site, opens in a new tab)8–12 yrsHyderabadHybridDirect career pageEst. 35–55 LPA
Posted on 28 Sept
Reach people at Epiq
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Epiq you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, and delivery of scalable, enterprise-grade AI-powered and cloud-native software solutions.
- Provide hands-on technical leadership, mentor engineering teams, and drive architectural decisions and engineering best practices.
- Collaborate cross-functionally with product owners, architects, data engineers, and DevOps to implement secure, compliant, and high-performance AI and software applications.
Minimum Requirements
- 8-12 years of professional software engineering experience.
- Bachelor's or Master's degree in Computer Science, Software Engineering, IT, or related field.
- Strong hands-on experience with Python and/or Java, React, microservices, APIs, and cloud platforms (Microsoft Azure preferred, or AWS).
- Experience with DevOps practices (CI/CD, Kubernetes, containerization), distributed system design, and enterprise-grade software delivery.
Ideal Candidate Profile
- Technical leader with demonstrated ability to architect and deliver AI-powered enterprise solutions at scale using Generative AI, LLMs, and RAG architectures.
- Experienced in driving engineering standards, mentoring engineers, and leading complex technical initiatives in cloud-native environments.
- Practical exposure to AI frameworks (e.g., LangChain, Semantic Kernel), AI platform integrations (Azure OpenAI, AWS Bedrock), and system design including data engineering and AI observability.