Standard Template Labs

Standard Template Labs

Sr. Software Engineer – Infrastructure

NYC, NY · Senior

Sponsorship not specified$190k-$250kDetected 230 days ago
PythonJavaGoNode.jsDistributed SystemsBackend DevelopmentSQLNoSQLLeadership

About the role

  • 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

  • Architect, evolve, and optimize our multi-tenant graph data model, including node/edge schema design, relationship modeling, partitioning, and traversal strategies.
  • Develop data architecture for graph sharding, indexing, and high-throughput traversal, ensuring low-latency queries even as topology size and complexity scale.
  • 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.
  • 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.
  • Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.
  • As we scale our SaaS platform to support increasingly complex enterprise environments, our graph-based data architecture is becoming a critical strategic pillar.
  • Build foundational product features for an AI-first enterprise platform

Requirements

  • 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.).
  • Experience making architectural decisions in fast-changing, high-scale environments.
  • Prior experience with major re-architecture efforts-e.g., moving from relational to graph, multi-tenant transitions, or large-scale migrations.
  • Solid grounding in distributed systems concepts, partitioning, caching, and performance optimization.
  • Experience scaling graph-backed SaaS products for enterprise customers with large, complex topologies.
  • Experience building observability for graph workloads: query heatmaps, traversal metrics, cardinality analysis.
  • You will define and deliver enterprise ready, graph-first architecture that powers the next generation of our platform.

Nice to have

  • Familiarity with distributed graph engines, distributed SQL, NoSQL, or horizontally scalable datastores.

Compensation

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

Benefits

  • Competitive compensation, equity, and benefits package
  • Build visibility into performance and health-metrics, dashboards, anomaly detection, traversal cost profiling, etc.

Company info

  • Your work will directly influence how customers understand, visualize, and automate complex systems-unlocking entirely new product capabilities.

Equal opportunity

  • equal opportunity employer, we don't tolerate discrimination or harassment of any kind.
  • As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind.

Visa & Work Authorization

  • Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local

This listing is sourced directly from Standard Template Labs's careers page and normalized into a canonical job model.