Runway

Sr. Software Engineer - Infrastructure

Runway$190K — $250K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional software engineering experience in production SaaS environments.
  • Hands-on experience designing or scaling multi-tenant SaaS databases.
  • Strong command of schema design, indexing, partitioning, sharding, and query performance optimization.
  • Experience building backend services in a modern language (Go, Python, Java, Node.js, etc.).
  • Solid understanding of tenant isolation models and data-layer performance considerations.
  • Familiarity with cloud-native architectures like containers and microservices.
  • Track record of driving architectural decisions during system growth.

Responsibilities

  • Architect and evolve the multi-tenant data model, including schema design and sharding strategies.
  • Design and build scalable backend services that work with a multi-tenant datastore.
  • Drive data-layer decision-making, evaluating shared-schema versus database-per-tenant approaches.
  • Improve platform reliability and performance through various optimization strategies.
  • Collaborate with cross-functional teams to ensure data architecture meets enterprise SLAs and compliance.
  • Build tooling for migrations and tenant lifecycle management.
  • Establish standards for access control, observability, and data governance across the engineering organization.
  • Mentor engineers by sharing knowledge on scalable SaaS patterns and database design.

Benefits

  • Opportunity to build foundational features for an AI-first enterprise platform.
  • Take ownership of critical systems scaling to millions of users.
  • A culture prioritizing craftsmanship, autonomy, and technical excellence.
  • Competitive compensation, equity, and benefits package.
  • Work from a collaborative Midtown Manhattan office with easy transportation access.
Full Job Description
About the Role

As we scale our SaaS platform to support increasingly complex enterprise environments, our graph-based data architecture is becoming a critical strategic pillar. We're looking for a Senior Engineer with deep experience building and scaling graph-centric, multi-tenant data systems for large-scale SaaS products.

In this role, you'll own the evolution of our graph data tier-designing performant, secure, and scalable graph models and storage strategies that enable rich relationships, deep querying, and intelligent insights across tenants.

This is a hands-on, high-impact role where you'll shape the technical foundation of how we represent, store, traverse, and analyze interconnected enterprise data at scale.

Responsibilities
Graph Data Architecture
  • Architect, evolve, and optimize our multi-tenant graph data model, including node/edge schema design, relationship modeling, partitioning, and traversal strategies.
  • Define and implement tenancy models for graph storage-balancing shared-graph vs. tenant-isolated subgraphs, hybrid partitioning, or database-per-tenant graph deployments.
  • Develop data architecture for graph sharding, indexing, and high-throughput traversal, ensuring low-latency queries even as topology size and complexity scale.
Backend & Data Layer Engineering
  • Build backend services that interact heavily with datastores, including APIs, data-access layers, ingestion workflows, and graph mutation/query pipelines.
  • Optimize query performance through indexing improvements, caching of subgraphs, tuned traversal patterns, and distributed graph execution.
Multi-Tenancy & Platform Scalability
  • Own decision-making around multi-tenant graph architecture: tenant boundaries, access control models, resource isolation, and performance fairness.
  • Implement tooling for onboarding, migrations, tenant provisioning, graph expansion, and lifecycle management.
  • Collaborate across product, infrastructure, and security teams to ensure the graph layer meets enterprise SLAs, security, and compliance requirements.
Technical Leadership
  • Establish standards around modeling, relationship semantics, data governance, and observability for graph workloads.
  • Build visibility into performance and health-metrics, dashboards, anomaly detection, traversal cost profiling, etc.
  • Mentor engineers in database fundamentals, scalable SaaS data patterns, and distributed systems thinking.
Qualifications
Required
  • 5+ years of professional software engineering experience in production SaaS environments.
  • Hands-on experience designing, scaling, or operating multi-tenancy databases in production.
  • Strong understanding of graph modeling, schema design for nodes/edges, indexing, and query/traversal optimization.
  • Proficiency in a modern backend language (Go, Python, Java, Node.js, etc.).
  • Solid grounding in distributed systems concepts, partitioning, caching, and performance optimization.
  • Experience making architectural decisions in fast-changing, high-scale environments.
Preferred
  • Experience scaling graph-backed SaaS products for enterprise customers with large, complex topologies.
  • Familiarity with distributed graph engines, distributed SQL, NoSQL, or horizontally scalable datastores.
  • Experience building observability for graph workloads: query heatmaps, traversal metrics, cardinality analysis.
  • Prior experience with major re-architecture efforts-e.g., moving from relational to graph, multi-tenant transitions, or large-scale migrations.
Why This Role Matters
  • You will define and deliver enterprise ready, graph-first architecture that powers the next generation of our platform.
  • You'll tackle high-leverage challenges around traversal performance, data relationships, tenant isolation, and scale-out strategies.
  • Your work will directly influence how customers understand, visualize, and automate complex systems-unlocking entirely new product capabilities.
What We Offer
  • Build foundational product features for an AI-first enterprise platform
  • The opportunity to take ownership of critical systems that scale to millions of users
  • A culture that values craftsmanship, autonomy, and technical excellence
  • Competitive compensation, equity, and benefits package
  • Work from our Flatiron District, Manhattan office, where you'll be side-by-side with the founding team in a supportive, collaborative setting. Our team works on-site five days a week, growing and building together, and the location is easy to reach with plenty of public transportation options.

The reasonably estimated yearly salary for this role at is: $190,000-$250,000 USD.

About Runway

Runway is a fashion brand that specializes in women's clothing and accessories. The company offers a range of products, including dresses, tops, skirts, and handbags, that are designed to be both stylish and affordable. Runway's products are sold online and in select retail stores across the United States. The company was founded in 2015 and is based in New York, New York.
Learn more about Runway
Size
50 employees
Industry
Net Income
-$10,000
Founded
2015
5 Year Trend
+10%
Revenue
$50,000
NASDAQ

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