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Senior Platform Engineer
GrowthLoop. Build and operate backend services moving data from warehouse queries to downstream systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining backend services, with a strong foundation in Python and experience in cloud environments like GCP or AWS. Capable of improving system reliability, security, and observability while leveraging AI tools and mentoring team members.
Highest-signal resume keywords
Python ProgrammingBackend Service DevelopmentCloud Platforms (GCP, AWS)Reliability EngineeringAI Tools Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production CodingAPI DevelopmentEvent HandlingQuery ExecutionResult TransformationService ReliabilityDistributed ArchitecturesAutomationDocumentationCode Review
Soft Skills
Problem SolvingCommunicationMentoringCollaborationAdaptability
Tools & Technologies
Cloud Data WarehousesAI AgentsMonitoring ToolsIncident Management Tools
Industry Keywords
High-Growth EnvironmentEnd-to-End OwnershipOn-Call SupportObservabilitySecurity
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Build and operate backend services moving data from warehouse queries to downstream systems
- Improve event handling, query execution, result transformation, and delivery coordination
- Investigate customer problems, identify solutions, and test and measure outcomes
- Build and maintain APIs and integrations across major cloud data warehouses
- Support the product’s move toward real-time capabilities
- Participate in the platform team’s on-call rotation and respond to production issues
- Restore service, communicate with stakeholders, and improve reliability and incident resolution
- Fix correctness, performance, reliability, security, and operability problems
- Build shared components, automation, documentation, and tools
- Support engineers through code reviews, context sharing, mentoring, communication, and follow-through
- Leverage AI tools daily and help build ML and agentic products
Requirements
What you’ll need- 5+ years of production coding experience
- Strong foundation in Python
- Experience in a startup or high-growth environment
- Deep experience designing, building, and maintaining services, including end-to-end ownership and on-call
- Experience with backend-heavy systems and distributed architectures
- Experience with GCP or AWS
- Experience building for reliability, security, and observability at scale
- Experience using frontier technology such as AI agents
- Ability to work effectively amid ambiguity and change
Benefits
Comp & perks- Spot bonuses for major milestones and product feature launches
- Clear opportunities for career progression and cross-functional collaboration
- Equity in GrowthLoop
- Remote-first culture
- Flexible, goal-based work style
- Flexible Time Off
- Monthly company-wide Recharge Days
- Annual home office stipend
- Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid)
- 401(k) or RRSP program with a generous company match
- Quarterly hackathons focused on team passion projects
- Annual professional development stipend
- Work directly with founders and a world-class executive team