Infrastructure Platform Engineer
Share
Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Title: Infrastructure / Platform Engineer (AI Voice & Social Product) - w/ Equity
Location: San Francisco CA (onsite 5 days a week)
Work Type: Full-Time
Job Overview
As a Founding Infrastructure / Platform Engineer oversee cloud data and deployment foundations for a voice-AI product in San Francisco. Achieve operational excellence across AWS infrastructure prioritize Terraform for Infrastructure-as-Code and maintain CI/CD pipelines with GitHub Actions.
AWS Infrastructure Operation: Manage production environments leveraging Terraform for secure automated rollbacks and sane defaults.
Data Pipeline Management: Construct high-throughput systems to s...
Our stack:
AWS-first with Terraform for IaC containers on Kubernetes or ECS CI/CD via GitHub Actions services in Python and TypeScript Postgres (including pgvector) plus a warehouse for analytics and full observability across services data jobs and model endpoints.
Key Responsibilities
Design and operate production AWS infrastructure using Terraform with secure networking sane defaults and automated rollbacks.
Build and maintain high-throughput data pipelines for ingestion transformation training data prep and reporting.
Partner with AI/ML to ship model inference and evaluation in prod; version deploy and monitor LLM and matching services.
Own PostgreSQL performance and reliability including schema design indexing connection pooling and pgvector usage.
Establish CI/CD release workflows and environment hygiene to enable fast safe iteration.
Implement observability across services and pipelines: logging metrics tracing alerting SLOs and incident response.
Drive cost awareness and reliability across web mobile and agentic systems balancing latency with scale.
Collaborate with product backend and ML to align infra decisions with user outcomes and roadmap priorities.
Qualifications
We are hiring a founding-caliber Infrastructure / Platform Engineer who has owned production cloud environments and data platforms in high-growth settings. You will set the golden paths for services data and model delivery and you are comfortable working on-site in San Francisco five days a week.
10 years in infrastructure platform or data engineering with real ownership of uptime performance and security.
Must-Have Requirements
Must be authorized to work in the U.S. without future visa sponsorship.
Able to work onsite in San Francisco CA five days per week.
4 years in infrastructure/platform or SRE with real production ownership.
Strong AWS Infrastructure-as-Code (Terraform or similar).
Containers and orchestration (Docker with Kubernetes or ECS) and CI/CD experience.
Proficient in Python or TypeScript for tooling and services.
PostgreSQL at scale; familiarity with performance tuning and pgvector is a plus.
Solid observability and on-call practices (metrics tracing alerting incident response).
Experience building and operating data pipelines (batch and/or streaming).
Benefits
Expert with AWS and Infrastructure-as-Code (Terraform Pulumi or CloudFormation).
Strong proficiency in Python or TypeScript plus tooling/scripting (Bash/YAML).
Containers and orchestration experience (Docker Kubernetes or ECS) and CI/CD pipelines you designed and ran.
Proven ability to design and operate data pipelines and distributed systems for both batch and low-latency use cases.
PostgreSQL at scale ideally with pgvector/embeddings exposure for ML-adjacent workloads.
Strong observability practices: metrics tracing alerting incident management and SLOs.
Excellent collaboration with AI/ML and product teams; clear communication of tradeoffs and risk.
Work authorization in the U.S. and willingness to be on-site five days a week in San Francisco.
Nice to Have
Experience supporting model training and inference pipelines feature stores or evaluation loops.
Prior work with streaming voice low-latency systems or recommendation/retrieval stacks.
Location: San Francisco CA (onsite 5 days a week)
Work Type: Full-Time
Job Overview
As a Founding Infrastructure / Platform Engineer oversee cloud data and deployment foundations for a voice-AI product in San Francisco. Achieve operational excellence across AWS infrastructure prioritize Terraform for Infrastructure-as-Code and maintain CI/CD pipelines with GitHub Actions.
AWS Infrastructure Operation: Manage production environments leveraging Terraform for secure automated rollbacks and sane defaults.
Data Pipeline Management: Construct high-throughput systems to s...
Our stack:
AWS-first with Terraform for IaC containers on Kubernetes or ECS CI/CD via GitHub Actions services in Python and TypeScript Postgres (including pgvector) plus a warehouse for analytics and full observability across services data jobs and model endpoints.
Key Responsibilities
Design and operate production AWS infrastructure using Terraform with secure networking sane defaults and automated rollbacks.
Build and maintain high-throughput data pipelines for ingestion transformation training data prep and reporting.
Partner with AI/ML to ship model inference and evaluation in prod; version deploy and monitor LLM and matching services.
Own PostgreSQL performance and reliability including schema design indexing connection pooling and pgvector usage.
Establish CI/CD release workflows and environment hygiene to enable fast safe iteration.
Implement observability across services and pipelines: logging metrics tracing alerting SLOs and incident response.
Drive cost awareness and reliability across web mobile and agentic systems balancing latency with scale.
Collaborate with product backend and ML to align infra decisions with user outcomes and roadmap priorities.
Qualifications
We are hiring a founding-caliber Infrastructure / Platform Engineer who has owned production cloud environments and data platforms in high-growth settings. You will set the golden paths for services data and model delivery and you are comfortable working on-site in San Francisco five days a week.
10 years in infrastructure platform or data engineering with real ownership of uptime performance and security.
Must-Have Requirements
Must be authorized to work in the U.S. without future visa sponsorship.
Able to work onsite in San Francisco CA five days per week.
4 years in infrastructure/platform or SRE with real production ownership.
Strong AWS Infrastructure-as-Code (Terraform or similar).
Containers and orchestration (Docker with Kubernetes or ECS) and CI/CD experience.
Proficient in Python or TypeScript for tooling and services.
PostgreSQL at scale; familiarity with performance tuning and pgvector is a plus.
Solid observability and on-call practices (metrics tracing alerting incident response).
Experience building and operating data pipelines (batch and/or streaming).
Benefits
Expert with AWS and Infrastructure-as-Code (Terraform Pulumi or CloudFormation).
Strong proficiency in Python or TypeScript plus tooling/scripting (Bash/YAML).
Containers and orchestration experience (Docker Kubernetes or ECS) and CI/CD pipelines you designed and ran.
Proven ability to design and operate data pipelines and distributed systems for both batch and low-latency use cases.
PostgreSQL at scale ideally with pgvector/embeddings exposure for ML-adjacent workloads.
Strong observability practices: metrics tracing alerting incident management and SLOs.
Excellent collaboration with AI/ML and product teams; clear communication of tradeoffs and risk.
Work authorization in the U.S. and willingness to be on-site five days a week in San Francisco.
Nice to Have
Experience supporting model training and inference pipelines feature stores or evaluation loops.
Prior work with streaming voice low-latency systems or recommendation/retrieval stacks.
Required Skills:
KUBERNETESPOSTGRESDOCKERPOSTGRESQLPYTHONTERRAFORMCI/CDMLAWSTYPESCRIPT
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
