About this role
About FormalFormal 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 RoleFormal is on a mission to build the best engineering team and we're looking for people who want to make outsized impact on shaping the product and building the company.
Our ideal candidate has a deep understanding of building scalable backend systems, a strong sense of ownership, and enjoys owning projects from inception to scaling it in production.
Our tech stack currently involves Golang, Rust, Temporal, Datastore protocols (Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS
What you'll doDesign and develop a high performance data platform that can handle large volumes of data in real-time
Build new product features from start to finish through to research, implementation, and maintenance
Help improve performance and reliability of net new and existing features
Lead any initiative you think may have a strong impact on Formal
Design scalable services as Formal grows and processes more traffic
What You NeedSoftware development experience building data-intensive software platforms
You value code simplicity and performance
Strong knowledge of Golang and experience with its ecosystem
Experience with streaming data processing frameworks such as Apache Kafka and Google Pub/Sub
Experience debugging and optimizing complex production systems
Experience working in DBs, OS, networking, or other systems-level environments
Experience with containerization technologies (Docker, ECS, or Kubernetes) and infrastructure as a code technologies (Terraform)
Excellent communication skills and the ability to work well within a team
You are a strong problem solver and have solid production debugging skills
Nice-to-HavesYou have worked in a fast, high-growth startup environment before
You have experience using tools like Temporal and Render
You have extensive knowledge of datastore protocols (Postgres, S3, Kafka)
Familiarity with cloud computing platforms, such as Azure or GCP
CompensationThis 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, and business requirements.
Benefits (for U.S.-based full-time employees)100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
Flexible PTO