Senior Backend Developer (Go/Java/Scala/Python)

**Permanent Full-time Position**

**Hybrid 3 days/week**

**Golang is ideal BUT open to Java/Scala/Python**

Description

Our client is a data permissioning platform designed to help businesses manage consumer data effectively and compliantly, especially in the era of evolving data privacy regulations and AI.

• 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

Skills

Python, Go, Java, Architecture, Aws, Development

Top Skills Details

Python,Go,Java

Additional Skills & Qualifications

• 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