Advisor - Software Engineer - SPE
Eli Lilly and Company10 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Own end-to-end system design and architecture for large-scale distributed, cloud-native platforms.
- Define architectural standards, patterns, technical blueprints, architecture decision records, and deployment approaches.
- Decompose monolithic and COTS systems into maintainable in-house services and platform capabilities.
- Write production-quality frontend and backend code, APIs, real-time communication layers, and high-throughput data pipelines.
- Build agentic AI systems, multi-step workflows, retrieval-augmented generation pipelines, and AI-native product capabilities.
- Apply prompt engineering, model evaluation, responsible AI, DevSecOps, testing, and CI/CD practices.
- Evaluate emerging AI technologies and drive adoption where they create measurable value.
- Influence technical direction across multiple teams, represent the organization in architecture forums, and coach engineers.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, or a related technical field.
- At least 14 years of hands-on software development experience across frontend and backend systems.
- At least four years of experience in a senior or lead architecture role.
- Strong experience designing and delivering large-scale distributed systems in production.
- Deep expertise in at least one cloud platform, with AWS preferred, and experience with infrastructure-as-code and containerization.
- Strong proficiency in one or more of Python, JavaScript/TypeScript, Go, Java, or Rust, with the ability to work across the full stack.
- Experience with modern frontend frameworks, backend development, databases, APIs, testing, and CI/CD.
- Hands-on experience building production-scale agentic workflows, retrieval-augmented generation pipelines, LLM integrations, and prompt-engineering solutions.
- Knowledge of computer science fundamentals, data structures, algorithms, software architecture, API gateway patterns, domain-driven design, and system decomposition.
- Ability to influence technical direction across teams, communicate through architecture documentation, challenge assumptions, and coach engineers.
- Preferred qualifications include regulated-industry experience, familiarity with GxP, HIPAA, or SOX, open-source or technical publication contributions, platform engineering, developer-experience tooling, and enterprise multimodal AI experience.
Benefits
- Lilly describes a supportive, respectful work environment that gives employees space to do their best work.
- Workplace accommodations are available to support individuals with disabilities during the application process.
Tech Stack
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