About the Role
ZoomInfo is a fast-paced, innovative company where careers accelerate. We empower employees to do their best work, surrounded by supportive and challenging teammates. With advanced tools and a culture that fosters ambition, you will make a significant impact.
Responsibilities
- Design platform patterns end-to-end, build reference implementations, document rationale, and partner with implementation teams for rollout.
- Stay hands-on through proof-of-concept and initial enablement, writing reference implementations and opening PRs to accelerate team adoption.
- Bring a consistent, documented rubric to weekly architecture reviews to provide reliable guidance.
- Expand the standards library and Architecture Decision Records (ADRs).
- Provide architectural stewardship in focus areas such as Cloud Infrastructure Architecture or Data Architecture.
- Own the architecture for cloud runtime, networking, service mesh, container platforms, and infrastructure scalability, resilience, and security.
- Own event streaming/messaging, database technology strategy, pipeline patterns, warehouse, and lakehouse strategies.
- Evaluate emerging technologies through structured POCs, drive standards for onboarding and phase-out, and lead evaluations of vendor changes and consolidation opportunities.
- Partner with FinOps on cost optimization, including emerging AI/model infrastructure spend.
- Host design reviews and workshops to enable R&D teams.
- Serve as a technical consultant to engineering teams making complex infrastructure choices.
- Make patterns consumable and self-service for engineering teams.
- Contribute to the multi-year platform direction, including developer experience, delivery pipelines, and AI-augmented architecture review tooling.
- Partner with platform engineering teams on multi-year strategy.
Requirements
- Proven track record of setting technical direction across large-scale systems many teams depend on (cloud, networking, data, or delivery).
- Ability to defend architectural choices against real production workloads.
- Production experience with GCP and/or AWS, paired with solid understanding of trade-offs.
- Practical experience with Kubernetes (GKE or equivalent) as the runtime foundation for modern workloads.
- Strong proficiency in Terraform, GitOps workflows, and designing/reviewing reusable modules.
- Depth in at least one domain (Cloud Infrastructure or Data Architecture) is required; more is a plus.
- Ability to dive into code to prove out patterns and evaluate system behavior under load.
- Comfortable shipping working prototypes rather than relying solely on high-level diagrams.
- Strong technical leadership, writing, and presentation skills.
- Track record of driving standards adoption across engineering organizations without formal managerial authority.
- Demonstrated ability to run rigorous technology evaluations, separating vendor pitch from architectural fit, running POCs, and producing actionable recommendations.
- Working knowledge of the infrastructure demands of AI/ML workloads.
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
- 10-15+ years of cloud infrastructure, platform, DevOps, or data architecture experience.
Skills
- Cloud Infrastructure Architecture
- Data Architecture
- Cloud-native networking
- Kubernetes/container orchestration
- Service mesh
- mTLS
- Messaging platforms (Kafka/Confluent, Pub/Sub)
- Database technology fluency (SQL, NoSQL, columnar analytics, search)
- Pipeline design
- Open table formats (Apache Iceberg)
- Terraform
- GitOps workflows
- GCP
- AWS
- Kubernetes
- GKE
- Istio
- PostgreSQL
- Cloud SQL
- MongoDB
- Snowflake
- BigQuery
- Solr
- Elasticsearch
- Dataflow
- Cloud Composer
- MSK
- Kinesis
- Apache Iceberg
- AI/ML infrastructure
- Model serving
- Vector databases
- GCP organization-level policies
- IAM inheritance design
- Confluent Platform
- Kafka Connect
- ksqlDB
- Architecture Review Council
- AI-augmented architecture review workflows
- MLOps tooling (MLflow, Kubeflow, Vertex AI Pipelines, SageMaker)
Location
- Remote
Work Type
- Full-time
Experience Level
- 10-15+ years
Education Level
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Salary/Compensations
- $157,500—$247,500 USD
Benefits
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being.
About the Company
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation.
- Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
Equal Opportunity
- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status.
- We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law.
- We also consider qualified candidates with criminal histories in accordance with legal requirements.
- For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
- An employer who violates this law shall be subject to criminal penalties and civil liability.
- ZoomInfo does not administer lie detector tests to applicants in any location.
