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Support Engineer
SpanSupport Engineer at Span providing full-stack solutions and technical delivery for customer deployments. Collaborating with engineering leaders to optimize workflows and drive product improvements.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack development, particularly with TypeScript and Python, while effectively translating customer needs into scalable solutions. Strong communication skills facilitate collaboration with diverse stakeholders and ensure successful technical delivery.
Highest-signal resume keywords
Full-Stack DevelopmentTypeScript ProgrammingPython ProgrammingData Pipeline IntegrationCustomer Communication
ATS Keywords
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Hard Skills
Full-Stack ProductsProduction-Quality CodeETL ProcessesLarge Language ModelsTechnical Delivery
Soft Skills
Clear CommunicationOwnershipCollaborationProblem-SolvingAdaptability
Industry Keywords
Customer DeploymentsPrototype DevelopmentWorkflow UnderstandingScalable SolutionsRoadmap Prioritization
Tech Stack
Tools & technologiesETLJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Own technical delivery across multiple customer deployments from initial prototype to production scale, embedding with customer teams to understand their workflows and build full-stack solutions that solve their specific problems.
- Scope work, make pragmatic trade-offs between speed and quality, and write production-grade code across our TypeScript, Python, and data pipeline stack when delivery depends on it.
- Translate customer feedback into product requirements and create reusable patterns that help the team scale, influencing roadmap priorities based on real-world deployment learnings.
Requirements
What you’ll need- 3+ years of engineering experience building full-stack products or complex integrations in fast-moving environments, with production-quality code in TypeScript/JavaScript and Python.
- Have worked with data pipelines, ETL processes, and have integrated Large Language Models into products or workflows.
- Thrive in ambiguous situations, communicate clearly with technical and non-technical stakeholders, and demonstrate ownership over customer outcomes with strong follow-through.
- Have outstanding communication skills in English, both written and verbal, enabling you to collaborate effectively with US-based customers and internal teams.
Benefits
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score