2 days ago
Base Salary
$200k - $270k/yr
Responsibilities
- Architect and lead secure, scalable, cloud-native implementations on Google Cloud Platform.
- Provide technical thought leadership across cloud architecture, data engineering, security, and governance.
- Design data processing pipelines using Dataflow, BigQuery, Pub/Sub, and Apache Beam.
- Guide Google Cloud security architecture, access controls, logging, monitoring, networking, and resource governance.
- Champion DevOps, CI/CD, serverless, Kubernetes, and modern deployment practices.
- Design agentic AI solutions that automate complex workflows and improve efficiency.
- Translate stakeholder requirements into architectural blueprints and technical stories.
- Drive observability, compliance, data integrity, governance, and reliability across Google Cloud and Google Workspace.
- Evaluate usage metrics, optimize architectures, and improve system performance.
- Mentor engineers, review designs, and serve as the technical authority for GCP architecture decisions.
Requirements
- At least 8 years of experience in cloud architecture and engineering, with a strong focus on Google Cloud Platform.
- Proven experience leading enterprise-scale cloud projects and data platforms.
- CISSP or CISM certification.
- Deep technical knowledge of the listed Google Cloud services, including BigQuery, Pub/Sub, Dataflow, Cloud Storage, Cloud Functions, Cloud Run, GKE, IAM, IAP, Organization Policy Service, Cloud Logging and Monitoring, Vertex AI, Gemini Enterprise, Looker, Google Workspace, GCP Networking, and Cloud Repositories.
- Strong development experience with Java, Apache Beam, Python, and Terraform.
- Understanding of standard logging formats and text/log-based processing, secure design principles, and cloud governance.
- Excellent communication skills and the ability to present technical concepts to technical and non-technical audiences.
- Preferred experience with Logscale, Secureonix, Syslog-NG, SCC, SecOps, and WIZ.
- Preferred experience with security operations, SIEM integration, threat modeling, enterprise data governance, metadata management, cloud-native data lakes, and Vertex AI-based AI/ML solutions.
- Preferred experience leading small to medium-sized development teams of 6–8 engineers.
- A bachelor’s degree in Engineering, Computer Science, or a related discipline is preferred.
Benefits
- Full-time position based in New York City/US.
- Remote and hybrid work options are available depending on country and location.
- Career advancement, international mobility, professional development programs, training, and access to industry experts.
- Medical, dental, and vision insurance, plus employer contributions to Health Savings Accounts.
Tech Stack
Categories
Solutions Engineering
About Valtech
Valtech provides digital consulting and engineering services to large enterprises, delivering customer experience design, commerce platforms, data/AI solutions, and transformation programs. It works across sectors such as retail, financial services, manufacturing, mobility, health, and travel, offering strategy, design, build, and managed services. Founded in 1993, Valtech is a global company privately held under Kharis Capital.