# Senior Software Engineer – Infrastructure

**Company:** [Standard Template Labs](https://hotfix.jobs/companies/standard-template-labs)
**Location:** New York, NY
**Role:** Backend Engineering
**Salary:** $190k – $250k/yr
**Experience:** 5+ years
**Skills:** graph databases, graph modeling, multi-tenancy, Distributed Systems, Go, Python, Java, Node.js, database sharding, indexing, Caching, NoSQL, distributed sql, data migration, Observability
**Posted:** 2025-12-03

> Senior software engineer responsible for architecting and scaling a multi-tenant graph data tier for an enterprise SaaS platform. The role requires 5+ years of software engineering experience, strong graph and distributed-systems expertise, and proficiency in a modern backend language.

## Job Description

## Responsibilities

### Graph Data Architecture
- Architect, evolve, and optimize multi-tenant graph data models, including node/edge schemas, relationship modeling, partitioning, and traversal strategies.
- Define graph-storage tenancy models, balancing shared graphs, tenant-isolated subgraphs, hybrid partitioning, and database-per-tenant deployments.
- Develop graph sharding, indexing, and high-throughput traversal architectures for low-latency queries at scale.

### Backend and Data Layer Engineering
- Build backend services that interact with datastores, including APIs, data-access layers, ingestion workflows, and graph mutation/query pipelines.
- Optimize query performance through indexing, subgraph caching, tuned traversal patterns, and distributed graph execution.

### Multi-Tenancy and Platform Scalability
- Own decisions around tenant boundaries, access control, resource isolation, and performance fairness.
- Implement tooling for onboarding, migrations, tenant provisioning, graph expansion, and lifecycle management.
- Collaborate with product, infrastructure, and security teams to meet enterprise SLAs, security, and compliance requirements.

### Technical Leadership
- Establish standards for graph modeling, relationship semantics, data governance, and workload observability.
- Build metrics, dashboards, anomaly detection, and traversal-cost profiling for graph workload health and performance.
- Mentor engineers in database fundamentals, scalable SaaS data patterns, and distributed systems.

## Requirements
- 5+ years of professional software engineering experience in production SaaS environments.
- Hands-on experience designing, scaling, or operating multi-tenant databases in production.
- Strong understanding of graph modeling, node/edge schema design, indexing, and query/traversal optimization.
- Proficiency in a modern backend language such as Go, Python, Java, or Node.js.
- Strong grounding in distributed systems, partitioning, caching, and performance optimization.
- Experience making architectural decisions in fast-changing, high-scale environments.

## Nice-to-Haves
- 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, including query heatmaps, traversal metrics, and cardinality analysis.
- Experience with major re-architecture efforts, such as relational-to-graph migrations, multi-tenant transitions, or large-scale migrations.

## Compensation and Benefits
- Estimated yearly salary: **$190,000–$250,000 USD**.
- Competitive compensation, equity, and benefits package.
- Opportunity to build foundational features for an AI-first enterprise platform.
- Ownership of critical systems designed to scale to millions of users.
- Work onsite five days a week from the Flatiron District, Manhattan office.

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