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# Software Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Backup Devices, Cloud Computing, Continuous Integration, Data as a Services, Linux, Domain Name System (DNS), Python (Programming Language), PostgreSQL, Networking Basics, Transport Layer Security, Google Cloud, Load Balancing, Data Ingestion, Autoscaling, Kubernetes, Deployment Automation, Apache Kafka, Terraform, Data Pipelines, Programming Languages
- **Published:** September 29, 2026
- **Apply:** https://startup.jobs/software-engineer-infra-formal-10198273

## About the Role

* Experience building and operating production cloud infrastructure on AWS or Google Cloud using Terraform.
 * Experience operating production Kubernetes clusters, including deployments, ingress, autoscaling, and upgrades.
 * Strong Linux and networking fundamentals, including DNS, TLS, and load balancing.
 * Experience with Go, Python, Rust, or another relevant programming language.
 * Experience with CI/CD, observability, and operating data pipelines or distributed APIs in production.
 * A track record of automating operational work and owning services through incidents and upgrades.

Nice-to-haves

 * Experience deploying and supporting on-prem software across customer networks and infrastructure.
 * Experience with Quickwit or similar search systems, Kafka, PostgreSQL, or Temporal.
 * Experience with Helm, Bazel, self-hosted CI runners, or environments for AI coding agents.

## Description

Formal secures billions of requests daily. Join a small team tackling the infrastructure behind that scale: Kafka-to-Quickwit log ingestion, fast search and APIs, and reliable cloud and on-prem deployments. You'll help lead our move to Kubernetes and make the platform easier to deploy, operate, and upgrade in our cloud and customer environments., * Lead our migration to Kubernetes and operate reliable clusters, networking, access controls, and data services.

 * Scale Kafka-to-Quickwit ingestion and search; improve throughput, indexing lag, API latency, and storage costs.
 * Build repeatable on-prem installations and upgrades, including configuration, data migrations, and rollback.
 * Establish useful alerts and reliability targets; lead incident response and eliminate recurring failures.
 * Automate provisioning with Terraform and Helm; improve CI/CD, capacity planning, backups, and recovery.


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