Posting record
Open 11+ days
- Formal's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Formal, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Formal
Formal is building a network security platform for the AI era. As agents gain access to sensitive data and production systems, organizations need control over the actions they take and the data they receive. We enforce those controls directly in the network path, with a shared policy layer for humans and agents across databases, infrastructure, APIs, and AI tools.
We are trusted by leading companies such as Cursor , Decagon , Notion , and more to solve problems across data security and compliance, data quality management, and infrastructure access.
Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta.
About the role
Formal secures billions of requests daily. Join a small team tackling the infrastructure behind that scale: log ingestion, fast search and APIs, and reliable cloud and on-prem deployments. You'll help own and make the platform easier to deploy, operate, and upgrade in our cloud and customer environments.
What you'll do
- Own Kubernetes and operate reliable clusters, networking, access controls, and data services.
- Scale log 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.
What you need
- 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 search systems, Kafka, PostgreSQL, or Temporal.
- Experience with Helm, Bazel, self-hosted CI runners, or environments for AI coding agents.
Compensation
- This role offers cash compensation and a stock options grant.
- The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements and geographical location.
Benefits (for U.S.-based full-time employees)
- 100% medical, dental & vision insurance coverage for you
- Partially covered for your dependents
- Flexible PTO
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