Overview

Role Overview: This is a hands-on technical leadership role.

Qualifications

• Full ownership of architecture, quality, delivery speed, reliability, security, scalability, maintainability, and technical alignment across the portfolio.
• Defining the long-term technical vision and driving convergence toward shared infrastructure, common components, and consistent engineering practices.
• Guiding product-level engineering leads on architecture decisions, resolving cross-product dependencies and trade-offs, and ensuring strong execution.
• Building shared platform capabilities: authentication & authorization, hosting & deployment, CI/CD, observability, security scanning, API standards, shared data layers, reusable components, and cross-product integrations.
• Owning the portfolio’s security and data-governance approach (access control, data sharing, compliance, and responsible AI use).
• Staying hands-on in critical technical areas — designing and implementing shared components, APIs, integrations, production data and ML pipelines, asynchronous processing, and performance-sensitive infrastructure; contributing to individual product codebases when needed.
• Setting and maintaining engineering standards (architecture, code quality, automated testing, performance, observability, documentation, release management, production reliability).
• Shaping the architecture for AI/LLM capabilities across the products (RAG, semantic search, copilots and agents, enterprise model gateways, LLMOps, evaluation, and monitoring).
• Translating product and business needs into technical roadmaps and implementation plans, balancing user impact and timelines with scalability, security, quality, and cost; proactively surfacing risks, dependencies, and trade-offs.
• Building engineering capability: mentoring leads and developers, conducting architecture and code reviews, supporting technical hiring, evaluating new technologies, and encouraging reuse and knowledge sharing.
• Strong full-stack engineering experience:
• Server-side: FastAPI, Django, Flask, Node.js or similar.
• Client-side: React, Angular or Vue.js, plus solid HTML/CSS.
• Designing and building RESTful APIs and microservices; solid understanding of API design best practices; working knowledge of relational and/or NoSQL databases, data modeling, schema design, and performance optimization.
• Proven experience designing shared/platform infrastructure (common authentication, CI/CD, shared data layers) that multiple independent product teams build on.
• Hands-on experience designing and deploying cloud-native applications on AWS, Azure or GCP; expertise in containerization and orchestration (Docker, Kubernetes); Infrastructure as Code (Terraform, CloudFormation, AWS CDK or similar).
• DevOps and CI/CD experience (GitHub Actions, GitLab CI, Azure DevOps or similar), including automated testing and deployment pipelines; experience defining and improving engineering processes (agile practices, estimation, release management).
• Experience owning security and data governance posture at an organizational or platform level (access control, cross-service data sharing, compliance) — beyond a single product.
• Exposure to or interest in AI/LLM-based systems (RAG, semantic search, copilots), including LLMOps tooling (prompt/instruction versioning, model gateways such as Portkey, inference frameworks like LangChain or LlamaIndex, response caching).
• Model evaluation and monitoring: golden datasets, metric definition, calibration, LLM-as-judge, regression gates in CI, and production drift monitoring.
• 8+ years of professional software engineering experience, with significant work on web/cloud applications and demonstrated growth into platform or architecture-level scope.
• 4+ years in a Staff/Principal Engineer, Architect, or platform-lead role setting technical direction and standards across multiple teams or products (formal people management not required, but a clear track record of driving technical alignment across teams is essential).
• Strong code review and technical mentorship skills; high ownership, curiosity, and pragmatism — comfortable balancing engineering excellence with delivery timelines.