Backend Software Engineer

Ketch•San Francisco, CA

8d•Hybrid

About The Position

Ketch is a Series B data privacy B2B SaaS redefining responsible data use for the AI era. The Ketch Data Permissioning Platform is the new layer of business technology that helps brands collect, control, and activate permissioned, privacy-safe data across every device, system, and third-party app. Brands around the world use Ketch to simplify privacy and consent operations, increase revenue from advertising, data, and AI initiatives, and build trust with customers and partners. Our patented technology empowers businesses and software engineers with a deploy-once, comply-and-secure-everywhere framework for exerting perfect control over every scrap of responsibly gathered data. This intelligent and pervasive data fabric underpins our vision to move from rules to tools to ensure privacy is respected as an essential human right. We are looking for a highly skilled backend engineer who is comfortable with building and running large scale systems in cloud native ways. You will be solving challenging problems while learning a great deal and having fun at the same time.

Requirements

Really know about scalable distributed systems
Have built production systems and services in Golang (ideal) or Java/Python/Scala
Have a deep understanding of domain driven data modeling
Have built production services in cloud-native environment (AWS, GCP, Azure) and know where itʼs awesome and where it hurts
Dead serious about tooling, best practices, automation - anything to improve DevEx
Are a great communicator and collaborator
Have dealt with complexities for mobile, web and mixed environments
Really grok your CI/CD (Github Actions, etc), Database/Storage (Redis, Cassandra, DynamoDB, ScyllaDB, Postgres, ElasticSearch) and VCS (git/GitHub) tools
Good at instrumenting, troubleshooting, performance tuning multi-tenant large scale Kubernetes deployments
1-3 years of experience in software engineering

Responsibilities

Build solutions to solve our enterprise customers’ data privacy and security problems at scale
Take ownership of what you build. Take pride in building it better and scaling it
Develop server-side components primarily in Golang and interact with various data stores and processing pipelines
Co-own a performing, fault-tolerant, highly secure microservice architecture and continuously evolve it
Master data security and data protection techniques and put them into practice
Work closely with stakeholders/customers to understand use cases and solutions end-to-end
Collectively be responsible for the well-being of our SaaS production system - quality, performance, scalability, reliability and efficiency
Invent and reinvent how we build, deploy and operate
Keep abreast of technologies and tools. Embrace and contribute to open source communities