1 month ago
Responsibilities
- Define reference architectures, cloud landing zones, infrastructure standards, and technical direction across AWS, Azure, Kubernetes, and infrastructure-as-code.
- Design governed lakehouse, warehouse, streaming, GenAI, and agentic AI platforms for production use.
- Lead technical discovery, solution shaping, estimation, risk reduction, solution design, and technical scope definition.
- Use AI tools for discovery synthesis, design, infrastructure-as-code and code generation, reviews, documentation, and estimation, while establishing responsible-use guardrails.
- Design IAM, network segmentation, secrets management, logging, encryption, zero-trust networking, and compliance controls.
- Include run-cost estimates, reliability targets, observability plans, and rollback paths in solution designs.
- Lead design reviews, mentor architects and senior engineers, and create reusable architecture accelerators and standards.
Requirements
- 12+ years of experience in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale.
- Deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform or an equivalent infrastructure-as-code tool.
- Experience designing and shipping modern data platforms such as Databricks, Snowflake, Fabric, or Redshift, including governance and data quality.
- Experience with IAM design, zero-trust networking, encryption, audit readiness, and security-first architecture.
- Demonstrated use of AI to shorten delivery timelines or expand output, with the ability to verify AI-generated work before production use.
- Ability to explain technical tradeoffs to executives and debug solutions with engineers while operating effectively amid ambiguity.
- Preferred experience putting GenAI or LLM systems into production, including RAG, evaluation, guardrails, or agent orchestration.
- Preferred multi-cloud or hybrid enterprise-scale experience and experience in regulated industries such as financial services, healthcare, or the public sector.
- AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA certification is preferred but not required.
- Experience building an architecture practice or center of excellence from an early stage is preferred.
Benefits
- Work on AI-driven projects across industries, from startup innovation to enterprise transformation.
- Global collaboration across continents and cultures.
- Inclusive environment emphasizing continuous learning, innovation, and ethical AI standards.
Tech Stack
Categories
Solutions Engineering
About Solvd
Solvd is a privately held software engineering and consulting firm that builds AI, data, cloud, application development, and quality engineering solutions for enterprises across technology, ecommerce, retail, fintech, hospitality, and banking. Headquartered in Walnut Creek, California, it is a portfolio company of Siguler Guff & Company. Following its acquisition of Tooploox, Solvd delivers end-to-end engagements from strategic advisory to custom AI development and enterprise-scale implementation for Fortune 500 clients.