Senior Backend Engineer

Posted Yesterday
Be an Early Applicant
San Francisco, CA
Hybrid
150K-190K Annually
Senior level
Software
The Role
Build solutions for enterprise customers' data privacy and security problems at scale, develop server-side components primarily in Golang, co-own a fault-tolerant microservice architecture, master data security techniques, work closely with stakeholders, ensure quality and performance of SaaS production system, contribute to open source communities.
Summary Generated by Built In

Who we are 

We are an early-stage startup disrupting the data privacy and cybersecurity market. 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.


What you will be doing at Ketch 

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.


What we are looking for 

Our ideal candidate is a technical expert that gets things done by using their smarts and whatever tools make sense for the job at hand. Someone who loves to stand on the shoulders of giants to solve new problems and thrives in a rapidly innovating space working with other smart people.


This is a full-time, hybrid position located in San Francisco, California.

Below is a detailed breakdown of 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 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

Your tech friends would say you:

  • 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 modelingHave 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

Top Skills

Go
Java
Python
Scala
The Company
HQ: San Francisco, CA
86 Employees
On-site Workplace
Year Founded: 2020

What We Do

Ketch enables businesses and platforms to build trust with consumers and drive growth through data.

The Ketch Trust by Design Platform is a coordinated set of applications, infrastructure, and APIs that collapses the cost and complexity of privacy operations and mobilizes responsibly gathered data for deeper customer engagement and top-line growth.

With Ketch Programmatic Privacy™ for privacy ops, companies can adapt programmatically to fast-changing regulations while managing risk and cutting operational and privacy engineering costs by 80%.

With Ketch Data Stewardship, businesses achieve complete, dynamic data control and intelligence over a company’s vital data assets, building trust and creating the foundation for responsible AI and advanced data and analytics initiatives.

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