Backend Engineer, Golang

Fingerprint

full-time

Posted on: 9/5/2025

Location: 🇺🇸 United States

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Mid-LevelSenior

Amazon RedshiftApolloAWSCloudDockerDynamoDBElasticSearchGoGradleKubernetesMicroservicesRedisShell ScriptingTerraform

About the role

Develop, maintain, and scale backend services and infrastructure that power Fingerprint's fraud detection solutions.
Design, develop, and optimize backend systems for real-time data processing and web services.
Build scalable APIs and backend infrastructure that support millions of requests per day.
Own features from concept to deployment and ensure seamless integration with other components in the platform.
Collaborate with cross-functional teams, including product and engineering, to integrate backend components and improve fraud detection signals (browser bot detection, VPN detection, VM detection).
Conduct performance tuning, debugging, and testing of backend systems to ensure reliability and efficiency.
Drive best practices for backend development and architecture, fostering a culture of continuous improvement.

5+ years of experience in backend development with a focus on building scalable, high-performance systems.
Strong experience in designing, developing, and maintaining distributed backend systems.
Proficiency in Golang.
Experience with building and optimizing APIs, real-time data processing systems, and microservices architectures.
Strong knowledge of databases, preferably DynamoDB, Redis, and Elasticsearch.
Experience working with cloud infrastructure, preferably AWS.
Proficiency with general software engineering tools: Git, CI/CD pipelines, shell scripting, IDEs.
Proficient in English for clear communication in a global, remote team.
Authorized to work from your home location; company does not sponsor visas.
Nice to Have: Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation.
Practical experience with analytical storage systems like ClickHouse, Snowflake, or Redshift.
Familiarity with data transformation frameworks such as dbt.
Understanding of modern containerization and orchestration technologies such as Docker and Kubernetes.