Note: The job is a remote job and is open to candidates in USA. Givzey is one of the fastest-growing and most innovative technology companies serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. The AI Platform Engineer will own the platform that keeps Givzey secure, compliant, reliable, and scalable, working across AWS infrastructure, Infrastructure as Code, CI/CD, AI services, observability, and developer tooling.
Responsibilities
- Design, build, and maintain our AWS infrastructure
- Manage networking, IAM, compute, storage, databases, and security across environments
- Build scalable infrastructure capable of supporting rapid product growth
- Improve resiliency, availability, and disaster recovery
- Own our Infrastructure as Code strategy using Pulumi
- Build reusable infrastructure components and shared modules
- Eliminate manual infrastructure changes wherever possible
- Review and evolve our cloud architecture as the company grows
- Build and maintain deployment pipelines for applications and infrastructure
- Improve release automation and deployment safety
- Reduce friction in local development and engineering workflows
- Help establish engineering best practices around testing and deployment
- Build and maintain the infrastructure powering our AI systems
- Work with services such as Amazon Bedrock, SageMaker, OpenSearch, and supporting AWS services
- Support LLM evaluation pipelines, RAG infrastructure, vector search, and model deployment
- Partner with ML engineers to operationalize new AI capabilities
- Monitor production systems and improve observability
- Respond to production incidents and drive root-cause analysis
- Improve system reliability through automation rather than manual processes
- Continuously evaluate performance, cost, and scalability
- Collaborate closely with product, engineering, ML, and customer success
- Help define technical standards and infrastructure direction
- Participate in architecture discussions across the platform
- Mentor other engineers on cloud infrastructure and operational best practices
Skills
- 5+ years building and operating production software systems
- Strong experience with AWS in production environments
- Experience designing Infrastructure as Code using Pulumi, Terraform, or CloudFormation
- Experience building CI/CD pipelines using GitHub Actions
- Strong Python experience
- Experience building APIs and backend systems
- You should be comfortable working with technologies such as AWS (multi-account environments using AWS Organizations), ECS, Docker, IAM, VPC networking, RDS, S3, Lambda, CloudWatch, SNS/SQS, Event-driven architectures
- You automate repetitive work instead of documenting it
- You care about reliability as much as shipping features
- You enjoy improving developer experience
- You think systems should become simpler over time
- You take ownership rather than waiting for someone else to fix infrastructure problems
- Strong written communication
- Comfortable working in ambiguity
- Curious about modern AI infrastructure and where it's headed
- Interested in building systems that engineers enjoy working in
- Excited by the challenge of building infrastructure from the ground up rather than inheriting a mature platform
- Pulumi experience
- Dagster experience
- Amazon Bedrock
- SageMaker
- OpenSearch
- ECS
- PostgreSQL
- Redis
- New Relic or modern observability platforms
- Experience supporting AI or ML products
- SOC 2 or security/compliance experience
- Startup experience
Company Overview