via Wellfound
$120K - 160K a year
Design, deploy, and manage cloud-native infrastructure on AWS and GCP with a focus on security, scalability, automation, and AI integration.
4+ years architecting production AWS and GCP systems, mastery of networking, IAM, container orchestration, IaC tools, CI/CD pipelines, security standards, and AI/ML workload integration.
Location: Remote / San Diego, CA Company: Bucket Labs, Inc. Type: Full-time or Part-time About Us At Bucket Labs, we’re building intelligent infrastructure that powers the next generation of AI and data-driven applications securely, efficiently, and at scale. Our flagship platform, Mimir, is a private, high-accuracy Retrieval-Augmented Generation (RAG) system designed for enterprise environments. We move fast, build clean, and expect every line of code and configuration to serve a purpose. If you live and breathe cloud architecture and want to own the infrastructure of an ambitious AI startup, this is your arena. If you vibe code you must be able to explain every line of your code. What You’ll Do You’ll own the full lifecycle of our cloud ecosystem across AWS and GCP from architecture design to deployment, security, and automation. ● Architect and Deploy: Design and implement cloud-native systems on AWS (ECS, Lambda, S3, DynamoDB, CloudWatch) and GCP (Cloud Run, GKE, Cloud Storage, BigQuery). ● Build Infrastructure as Code (IaC): Maintain reproducible environments with Terraform, CloudFormation, or equivalent tools. ● Optimize and create APIs and Performance: Manage API Gateways, VPCs, load balancers, and scaling strategies for high-availability workloads. ● Implement Zero-Trust Security: Configure IAM, VPC networking, KMS encryption, and monitoring to enforce airtight access control and data protection. ● CI/CD Automation: Build deployment pipelines (GitHub Actions, CodePipeline, or Cloud Build) that make releases fast, predictable, and safe. ● Observability and Reliability: Set up intelligent logging, metrics, and alerting with CloudWatch, Stackdriver, or Prometheus to ensure 99.9% uptime. ● Cost Management: Continuously analyze and optimize infrastructure costs without compromising performance. ● Cross-Cloud Integration: Help connect AWS Bedrock, GCP Vertex AI, and custom containerized microservices into a unified AI architecture. What You Bring You don’t just deploy — you design for resilience, scale, and speed. ● 4+ years of professional experience architecting production systems on AWS and GCP ● Mastery of networking, IAM policies, KMS, container orchestration, and IaC ● Experience with serverless, microservices, and secure API deployments ● Hands-on expertise with Docker, Kubernetes, ECS, GKE, Lambda, Cloud Run ● Proven ability to manage multi-environment setups (dev, staging, prod) ● Strong understanding of CI/CD pipelines and GitOps workflows ● Knowledge of SOC2, ISO 27001, and modern security best practices ● Experience integrating AI/ML workloads or RAG pipelines (Bedrock, Vertex AI, SageMaker) Why Join Us You’ll be joining a fast growing startup and You’ll be the go-to authority for everything cloud with the freedom to design, optimize, and evolve the backbone of our entire product ecosystem: ● Build architecture that scales from startup to enterprise ● Work with bleeding-edge AI infrastructure (Bedrock, S3 Vector Search, ECS/Fargate, Keycloak) ● Collaborate directly with the founding team — every decision matters ● Competitive compensation with equity opportunity ● Remote flexibility + San Diego HQ How to Apply Send your GitHub, LinkedIn, or portfolio (we value work over titles) to Cameron@bucketlabs.ai with the subject line: “Cloud Architect – I Build, Not Just Deploy.”
This job posting was last updated on 12/1/2025