Gartner

Lead Software Engineer (Python, LLM) - AskGartner

Gartner • $116K — $170K *
Stamford, CT 06902In-Person
Information Technology
Less than 5 years of experience
2 weeks ago
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering, particularly with Python.
  • Expert-level proficiency in Python programming and backend services development.
  • Experience in cloud technologies, specifically AWS and Azure.
  • Familiarity with AWS SageMaker and data formats like Parquet, JSON, and CSV.
  • Strong knowledge of PostgreSQL and unit testing using pytest.

Responsibilities

  • Lead end-to-end technical initiatives from design to delivery with minimal guidance.
  • Make critical architecture and design decisions for scalable and maintainable systems.
  • Effectively communicate and collaborate with cross-functional teams and stakeholders.
  • Mentor fellow engineers through code reviews and design discussions.
  • Proactively identify technical risks and contribute to solutioning discussions.

Benefits

  • Competitive compensation with limitless growth opportunities.
  • Access to mentorship and leadership development programs.
  • A collaborative and diverse team culture.
  • Hybrid work environment offering flexibility between home and office.
  • 20+ PTO days, medical and dental insurance, and a 401K with corporate match.
  • Enhanced health and wellness allowance programs, parental leave, and tuition reimbursement.
Full Job Description
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-related allowance programs.
  • Parental leave.
  • Tuition reimbursement.
  • Employee Stock Purchase Plan.
  • Employee Assistance Program.
  • Gartner Gives Charity Match.
    And much more!

#LI-Hybrid
#LI-AL2

About Gartner

Gartner, Inc. is a research and advisory company that provides information, advice, and tools for leaders in IT, finance, HR, customer service and support, legal and compliance, marketing, sales, and supply chain functions. The company operates in more than 100 countries and has over 16,000 employees. Gartner was founded in 1979 and is headquartered in Stamford, Connecticut.
Learn more about Gartner
Size
16,600 employees
Market Cap
$26.4 billion
Industry
Business Services
Net Income
$266.7 million
Founded
1979
5 Year Trend
+14.1%
Revenue
$4 billion
NASDAQ
IT
* Ladders Estimates

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