Lead Software Engineer (Python, LLM) - AskGartner

About the Role

AskGartner is building toward becoming the AI-powered strategic advisor for enterprise clients — a product that puts the full depth of Gartner's research, proprietary data, and expert knowledge at clients' fingertips. As a Lead Engineer on the AskGartner core platform team, you will be a key technical force shaping the chat and embedded AI experiences that serve as the product's primary surface. This role demands an engineer who can independently drive complex initiatives end-to-end, make sound architecture decisions, and collaborate across teams to deliver high-quality, scalable solutions.
 

Leadership & Collaboration

• Drive technical initiatives end-to-end — from requirements and design through delivery and post-launch iteration — with minimal guidance.

• Own architecture and design decisions for complex systems, demonstrating strong judgment on scalability, reliability, and maintainability.

• Communicate and collaborate effectively across engineering teams, product managers, and stakeholders to align on technical direction.

• Mentor and elevate fellow engineers through thoughtful code reviews, design discussions, and knowledge sharing.

• Lead solutioning sessions and proactively surface technical risks, trade-offs, and recommendations.

• Serve as a technical point of contact for cross-functional teams, articulating complex engineering decisions clearly to both technical and non-technical audiences.

Core Expectations

• Self-motivated and hands on professional — operates independently, completes work without follow-ups, and navigates ambiguity and challenges with minimal assistance.

• Proactively picks up design, development tasks, drives them to completion, and communicates progress and blockers without prompting.

• Participates actively in solutioning, contributes ideas, and raises issues early.

• Adaptable and eager to learn — our team uses a wide array of technologies and the right candidate embraces new tools with confidence.

• Thrives in a fast-paced environment and is comfortable supporting production releases.

Technical Skills

Core / Must Have (All Required)

• Python — expert-level proficiency

• Python backend services: development, APIs, deployment, and scaling

• Python FastAPI and asynchronous programming

• Cloud technologies: AWS (primary), Azure

• AWS SageMaker Pipelines (end-to-end ML workflows)

• Python unit testing (pytest)

• Git

• AWS S3 and data formats (Parquet, JSON, CSV)

• PostgreSQL / SQL

• Pandas

Strong Preferred (Should Have Most)

• LangGraph / LangChain

• Large language models (e.g., OpenAI, Anthropic, Google)

• Load testing frameworks (e.g., Locust, JMeter)

• AWS Athena

• AWS S3 (bucket policies), IAM roles and policies

• Splunk

• AWS Secrets Manager and Parameter Store

• AWS EMR (PySpark-based ETL)

• Docker

• Kubernetes

• Terraform

• OpenSearch / Search Engine indexing, retrieval (RAG systems)

• Cache technologies

Nice to Have (Willing to Learn)

• AWS Kinesis (live structured log ingestion to S3)

• AWS SQS

• AWS Glue (data catalog, crawlers)

• AWS QuickSight

• SonarQube

• Jenkins / Groovy

• Argo CI/CD

• Snyk

What you will get:

• Competitive compensation.

• Limitless growth and learning opportunities.

• Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more!

• A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.

• A chance to make an impact – your work will contribute directly to our strategy.

• Hybrid Work Environment - enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.

• 20+ PTO days plus holidays and floating holidays in your first year.

• Extensive medical, dental insurance and vision plan.

• 401K with corporate match, immediate vesting.

• Health-and-wellness-rela