Senior Software Engineer
Tokenization
Confirmed live in the last 24 hours
Locations
Remote • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
AWS
Apache Kafka
Data Structures & Algorithms
Docker
C/C++/C#
Java
Kotlin
Rust
Kubernetes
Python
Go
Requirements
- 4+ years of software development experience, including at least one of the following: Golang, Kotlin, Rust, Java, C++, Python
- Strong computer science and programming fundamentals (data structures, algorithms)
Responsibilities
- Create trusted truly 1:1 backed stablecoins that are deployed across multiple blockchains and account for over 19B in tokenized dollars
- Develop best in class asset management software to efficiently rebalance assets on multiple blockchains and financial platforms
- Design and implementation of high quality software from concept through to launch - taking ownership of design, coding, testing and deployment of key proprietary software components
- Apply engineering best-practices including unit and integration testing, source code version control, agile planning/estimation
- Effectively resolve ambiguity, analyzing complex requirements and breaking down features and initiatives into tactical tasks
- Effectively navigate the trade-offs among MVP vs Enterprise-Grade, Time-to-market and in other relevant dimensions
- Search for the truth in product conceptualization and development, ensuring designs and implementations are fully aligned with the company mission and product goals
Desired Qualifications
- Mastery of core engineering concepts including data structures, design best practices, run-time optimizations, and algorithmic complexity
- Solid understanding of concepts like load balancing, HA/failover, ingress, inter-service communications in a microservices style cluster, idempotence, ACID, guaranteed delivery, etc
- Technical expert in at least one domain like Distributed Systems, Cryptography, Databases, or AWS
- Can understand and articulate the architecture of an entire system, including the technical trade-offs between different design implementations
- Familiar with online web application architectures and infrastructures, including clustering (Kubernetes), containerizing (Docker), message queuing (Kafka), telemetry/instrumentation (Prometheus/Grafana), etc
- Eager to work openly and collaboratively with a diverse multi-disciplinary team
- Collaborate effectively with stakeholders
- Constantly seeks to learn new technologies, innovate and discover better ways to solve engineering challenges