As an Engineering Manager of Platform at Shelf, you will own the delivery of the Platform infrastructure.
You will manage and grow a backend-centric Platform team consisting of software engineers, DevOps, SRE, and QA specialists.
You’ll set clear contracts and boundaries between platform surfaces and product services; prevent creating bespoke solutions for product teams.
Reliability will be operated efficiently with SLOs and error budgets; incidents will be handled with a healthy on‑call, runbooks, and blameless reviews.
Together with Product Managers, you’ll exercise product thinking to enhance developer productivity, reduce cognitive load, and ultimately, decrease time-to-market.
Requirements
4+ years of Engineering Management experience leading cross-functional, backend-centric teams (10+ engineers) in product companies operating multi-tenant SaaS systems.
5+ years as a Senior Software Engineer, Tech Lead, or Staff Engineer with deep Node.js or Python expertise.
Understanding of AWS cloud primitives; hands-on experience with compute, storage, messaging, and databases (SQL and NoSQL).
Infrastructure as Code experience: CI/CD pipeline design and optimization.
Experience with API management (versioning, backward-compatibility, contract testing), service catalogs, and developer experience tooling.
Personally built and operated distributed systems, event-driven architectures, and cloud-native applications; led complex migrations.
Comfortable with high-volume data processing, and schema design/performance tuning at scale.
Translate complex technical constraints into business-intelligible trade-offs; align platform capabilities with product team needs.
Experience with SLO/error budget frameworks, incident management, FinOps, and observability best practices.
Strong track record coaching Tech Leads and Senior ICs, implementing SDLC and reliability practices, and partnering with Product Management.
Present work effectively through clear architecture diagrams, documentation, and verbal communication; communicate technical strategies to leadership.
Proficiency with AI-powered development tools (GitHub Copilot, Claude, etc.) and eagerness to push AI-assisted engineering workflows.
Proactive problem-solver with genuine curiosity
never satisfied with "good enough", constantly refining tools and approaches.
As a plus, the Databricks or Snowflake integration experience is beneficial.
Tech Stack
AWS
Cloud
Distributed Systems
JavaScript
Node.js
NoSQL
Python
SDLC
SQL
Benefits
B2B contract.
Company Stock Options.
Hardware: MacBook Pro.
Modern technical stack. Develop open-source software.
GitHub Copilot subscription.
Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.