Backend Software Engineer

Ketch

Backend Engineer at an early-stage startup focusing on data privacy and cybersecurity. Developing scalable solutions and mastering data protection techniques.

Posted 7/7/2026full-timeSan Francisco • California • 🇺🇸 United StatesJunior💰 $100,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable distributed systems and server-side components using Golang, while ensuring data privacy and security in cloud-native environments. Proficient in CI/CD practices and database management to support robust SaaS production systems.

Highest-signal resume keywords

Golang DevelopmentScalable Distributed SystemsCloud-Native EnvironmentsCI/CD (Github Actions)Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GolangJavaPythonScalaKubernetesRedisCassandraDynamoDBScyllaDBPostgres

Soft Skills

Stakeholder CollaborationProblem SolvingOwnership

Tools & Technologies

AWSGCPAzureGithub ActionsElasticSearch

Industry Keywords

Data PrivacyData SecurityMicroservice ArchitectureSaaS Production SystemOperational Processes

Tech Stack

Tools & technologies

AWSAzureCassandraCloudDistributed SystemsDynamoDBElasticSearchGoGoogle Cloud PlatformJavaKubernetesOpen SourcePostgresPythonRedisScala

About the role

Key responsibilities & impact

Build solutions to solve enterprise customers’ data privacy and security problems at scale
Take ownership of what you build
Develop server-side components primarily in Golang
Co-own fault-tolerant, secure microservice architecture
Master data security and protection techniques
Work closely with stakeholders to understand use cases
Responsible for the well-being of SaaS production system
Invent and reinvent operational processes
Keep abreast of technologies and contribute to open source

Requirements

What you’ll need

1-3 years of experience in software engineering
Scalable distributed systems
Production systems in Golang, Java, Python, or Scala
Cloud-native environments (AWS, GCP, Azure)
Tooling, best practices, and automation
CI/CD (Github Actions)
Database/Storage (Redis, Cassandra, DynamoDB, ScyllaDB, Postgres, ElasticSearch)
Instrumenting, troubleshooting, performance tuning for Kubernetes deployments

Benefits

Comp & perks

equity
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