Senior Software Engineer - Infrastructure

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.

Requirements

• 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.

Benefits

Additional Information

Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service and Configuration Management. 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.

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