Software Engineer, Backend
Team: Engineering
Location: Santa Clara, CA
Commitment: Full Time
Workplace Type: hybrid
Salary:
Responsibilities
- Design and implement high-complexity projects from scoping to production.
- Apply a data-driven approach to a wide variety of signals to identify, understand, and scope emerging fraud trends and uncover root causes.
- Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
- Analyze data and processes to troubleshoot problems and identify areas for improvement.
- Collaborating with the front-end engineers and other team members to deliver functionality to enhance the user experience.
- Developing ideas for new products, or features by monitoring industry developments and executing quick proof of concepts.
Requirements
- 3-5 years of experience in a post-academic cloud-based software environment
- Experience in a peak performance organization, preferably a tech start-up
- Strong Computer Science fundamentals in object-oriented design, data structures, distributed systems, algorithm design, problem solving and complexity analysis.
- Fluency or understanding of specific languages, such as Typescript, NodeJS, or Python, and operating systems.
- Knowledge of AI LLMs, prompt engineering and Agentic AI frameworks would be a huge plus.
- Strong understanding of the development cycle and programming techniques and tools.
- Conduct code tests and optimize performance (Unittests and automation testing).
- Experience in building high-performing APIs.
- Experience with SQL/NoSQL databases (MySQL, Postgres, Elasticsearch, Cassandra etc.)
- Experience with Messaging queues (SQS, RabbitMQ, similar)
- Quick learner and fast to adapt to new changing dynamics.
- Understanding of infrastructure & application deployment models (Kubernetes, Docker, AWS/GCP/Azure)
- Caching strategies (server/client) and tools (Memcache, Redis, Varnish, CloudFront, Akamai)
Our Tech Stack
- NodeJS
- Python
- Rust
- PostgreSQL
- Elasticsearch
- Scylla/Cassandra
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