About the Role
AskGartner is building toward becoming the AI-powered strategic advisor for enterprise clients. As a Lead Engineer on the core platform team, you will shape 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.
Responsibilities
- 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
- 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
Technical Skills – Preferred
- 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
Technical Skills – Nice to Have
- AWS Kinesis (live structured log ingestion to S3)
- AWS SQS
- AWS Glue (data catalog, crawlers)
- AWS QuickSight
- SonarQube
- Jenkins / Groovy
- Argo CI/CD
- Snyk
Benefits
- 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
- A chance to make an impact—your work will contribute directly to our strategy
- Hybrid work environment—flexible remote and on‑site collaboration
- 20+ PTO days plus holidays and floating holidays in your first year
- Extensive medical, dental and vision insurance
- 401(k) with corporate match, immediate vesting
- Health‑and‑wellness allowance programs
- Parental leave
- Tuition reimbursement
- Employee Stock Purchase Plan
- Employee Assistance Program
- Gartner Gives Charity Match and other benefits
EEO Statement
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage.
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