Principal Software Engineer

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Principal Software Engineer As a Principal Software Engineer, you will get to explore and work with cutting-edge technologies and a large and rich data set. If you like working on tough problems, whether that's building systems that handle millions of customer requests a day or how to make sense of over a billion pieces of potentially correlated data, ZoomInfo is the right place for you. What You'll do: Define multi-quarter technical strategy and target architecture across multiple squads; lead design councils and author ADRs for cross-cutting decisions Establish and enforce org-wide engineering standards and API governance (versioning, deprecation, pagination, caching, security) Set performance budgets and Core Web Vitals targets; drive systemic improvements via SSR/SSG, code-splitting, edge/CDN caching, and RUM dashboards Own reliability for critical user journeys; define SLOs/SLIs/error budgets, implement canary/blue-green rollouts, circuit breakers, autoscaling, and lead blameless postmortems Build and govern a reusable design system and frontend platform (monorepo strategy, component libraries, Storybook) to accelerate delivery across teams Elevate developer experience: standardized CI/CD pipelines with quality gates (lint/typecheck/tests/coverage), artifact provenance/SBOM, SAST/DAST, and secure supply chain practices Drive observability standards using OpenTelemetry; publish golden-signal dashboards and alerts aligned to business SLOs Architect resilient, cost-aware cloud topologies in AWS/GCP (multi-region/zone, least-privilege IAM); guide IaC with Terraform/CDK and Kubernetes best practices Optimize data access patterns across MongoDB/Redis (sharding, indexing strategies, TTL/eviction, caching layers); ensure data consistency and idempotency in distributed flows Make pragmatic build-vs-buy decisions; evaluate and introduce technologies with a clear ROI and deprecation plan for legacy systems Partner with Product, Security, SRE, and Data teams to craft roadmaps, sequence risks, and land multi-team initiatives on schedule Mentor and multiply senior/staff engineers; lead design reviews, create growth plans, calibrate hiring loops, and raise the engineering bar What you bring: 12+ years in software engineering, including 7+ years with React/TypeScript/Node or NestJs and a track record of owning architecture for multiple systems or a product area Deep expertise in frontend performance (Core Web Vitals, SSR/SSG), accessibility (WCAG), advanced Sass/CSS, and enterprise-grade design systems Strong API design and governance for REST/GraphQL: schema evolution, versioning strategy, caching, pagination, and contract testing Cloud-native at scale on AWS/GCP: Kubernetes, Docker, service mesh patterns, edge/CDN performance and security; IaC with Terraform/CDK Production reliability leadership: SLO/SLI/error budgets, incident response coordination, chaos testing, capacity planning Observability: metrics, structured logging, and distributed tracing (OpenTelemetry) with the ability to derive action from telemetry Security-first mindset: OWASP, OAuth/OIDC, secret management, dependency hygiene/supply-chain security; familiarity with SOC2/ISO/GDPR/CCPA practices Developer productivity at scale: monorepo tooling (Nx/Turborepo), code ownership models, module federation; standardized CI/CD with quality gates Cost stewardship: demonstrated ability to model and optimize cloud spend with clear guardrails and dashboards Influence without authority; excellent written and verbal communication; proven mentorship of senior/staff engineers and participation in hiring rubric design Bonus: experience with data streaming (Kafka/Pub/Sub), API gateways, federated GraphQL, and visual regression/e2e testing at scale