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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Engineer - Infrastructure - **Company:** The Standard - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $190,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Application Programming Interfaces (APIs), Software as a Service, Databases, Data Architecture, Data Governance, Data Stores, Data Systems, Shard (Database Architecture), Distributed Systems, Python (Programming Language), Node.Js, NoSQL, Performance Tuning, Software Engineering, SQL Databases, Indexer, Backend, Golang - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ecfd8a24030b22b0 ## About the Role * 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., * 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. ## Description 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., * 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., * 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., * 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., * 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. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)