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SeekLab

Infrastructure / Platform Engineer (AI Voice & Social Product | Viral B2C App Ex

SeekLab, San Francisco, California, United States, 94199

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Infrastructure / Platform Engineer (AI Voice & Social Product | Viral B2C App Experience Preferred | Onsite SF | Equity) Equity Included

A

venture-backed AI startup ($10 M Seed Round)

building the next generation of

voice‑driven, social consumer experiences

is hiring a

Founding Infrastructure / Platform Engineer.

You’ll own the cloud, data, and deployment foundations that power real‑time voice AI, matching, and agentic workflows used by thousands of people connecting through the product.

We’re especially interested in engineers who’ve helped

scale viral B2C mobile apps —people who understand the balance between reliability, speed, and user growth.

What You’ll Do

Design and operate AWS infrastructure using Terraform with secure defaults and automated rollbacks

Build and maintain high‑throughput data pipelines for ingestion, training data prep, and reporting

Partner with AI/ML teams to deploy and monitor model inference and evaluation in production

Own PostgreSQL performance and reliability (including pgvector for embeddings and recommendations)

Establish CI/CD and release workflows that let teams ship quickly and safely

Implement observability across services and pipelines — metrics, tracing, alerting, SLOs and incident response

Drive cost efficiency and scalability as user traffic and voice volume grow

Collaborate with backend and product engineers to align infra decisions with real user impact

What You Bring

4 – 10 years in infrastructure, platform or data engineering with ownership of production systems

Deep expertise with AWS and Infrastructure‑as‑Code (Terraform preferred)

Strong skills in Python or TypeScript for services, tooling, and automation

Containers and orchestration experience (Docker, Kubernetes or ECS)

Hands‑on CI/CD pipelines (GitHub Actions or similar)

PostgreSQL at scale — schema design, indexing, connection pooling, and pgvector

Observability and on‑call practice (metrics, tracing, alerting, SLO ownership)

Experience building and operating data pipelines (batch and/or streaming)

Excellent communication skills and collaboration with AI/ML and product teams

US work authorization and availability to work onsite in San Francisco five days a week

Nice to Have

Experience supporting model training or inference pipelines, feature stores, or evaluation loops

Exposure to low‑latency voice, real‑time messaging, or recommendation systems

Prior work in a consumer startup where infrastructure had to scale alongside viral growth

Why Join

Build foundational systems for a voice‑AI social app backed by top‑tier investors (Accel, NFX, Pear VC, Forerunner)

Work onsite with founders and engineers from Uber and Faire who move fast and own outcomes

Shape the infra that supports millions of voice sessions and social interactions as we scale

Competitive salary + meaningful equity + benefits (health, vision, dental, 401k)

Ideal For

Engineers who: have scaled consumer apps or voice products through rapid growth and high traffic

Enjoy balancing reliability with speed and iteration

Take ownership of production systems end to end and improve them continuously

Thrive in a tight, high‑context environment where infra decisions directly impact user experience

Work Authorization Must be authorized to work in the U.S. without future visa sponsorship and able to work onsite in San Francisco five days per week.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Engineering and Information Technology

Industries: Technology, Information and Internet

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