Engineering Manager – Platform

Role Overview

• 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.