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Mid LevelFull-timePythonVueNode.jsAWSGCPAzureKubernetesDockerPostgreSQLMySQL
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Backend Engineer to join our core engineering team. This role involves designing and building large-scale backend services, high-performance data processing pipelines, and robust storage systems.
Key Responsibilities
- →Design, implement, and maintain scalable, robust, and high-performance backend services using Python
- →Architect data-intensive systems that ingest, transform, and serve large structured and unstructured datasets in (near) real time
- →Develop APIs, microservices, workflow pipelines, and internal tools that support mission-critical platform components
- →Own the design and optimization of SQL and NoSQL data schemas, data access patterns, indexing strategies, and performance tuning
- →Recommend and implement improvements to service reliability, efficiency, observability, and cost optimization
- →Design and integrate agentic workflows and AI-driven automation into backend systems
- →Collaborate with product, data, and revenue teams to build new customer-facing features and internal data capabilities
Requirements
- ✓BS/MS in Computer Science, Engineering, or equivalent practical experience
- ✓5+ years of experience in software engineering with increasing technical responsibilities
- ✓3+ years of hands-on Python development, with proven experience building production backend systems
- ✓Strong expertise in distributed backend architectures, microservices, and event-driven systems
- ✓Experience with SQL databases including query optimization, schema design, and scalability
- ✓Hands-on experience with NoSQL technologies such as Elasticsearch, MongoDB, Redis
- ✓Experience building and deploying solutions on public cloud platforms
- ✓Familiarity with workflow orchestration tools such as Prefect, serverless compute, Step Functions
- ✓Hands-on experience with Dask for parallel computing and distributed data processing
- ✓Knowledge of DevOps, CI/CD, containers, security best practices, and automated testing
- ✓Excellent debugging skills and ability to understand, refactor, and optimize code
- ✓Strong communication skills and ability to document and defend architectural decisions
