Server-Side Software Engineer
2 weeks ago
We are seeking a dedicated backend software engineer to contribute to the development, enhancement, and optimization of our technical infrastructure. This role involves creating innovative services and improving user experiences within the Bitcoin and Lightning ecosystem. As part of a rapidly growing team, your expertise will be vital in shaping the future of this exciting domain.
Primary Responsibilities:- Lead the development of new applications and guide their technical evolution.
- Design and sustain essential infrastructure for our platform and associated services.
- Work collaboratively with other engineers to maintain high standards through code evaluations, testing, and quality assurance processes.
- Support our scalability initiatives to match the swift expansion of the Lightning Network.
- Minimum of 4 years in backend application development.
- Strong understanding of GraphQL APIs, NodeJS, and NestJS frameworks.
- Expertise in Javascript and Typescript programming languages.
- Experience with SQL (Postgres) and NoSQL (Memgraph, Typesense) database systems.
- Familiarity with event-driven architectures, including RabbitMQ, SQS, and Kafka.
- Knowledge of in-memory data storage solutions such as Redis.
- Experience in containerizing applications using Docker following industry best practices.
- Proficient in deploying applications securely and efficiently on AWS services like Elastic Beanstalk, EC2, ECS, and EKS.
- Skilled in agile software development methodologies, version control with Git, and maintaining production-level code.
- A demonstrated passion for software development; formal education is not a prerequisite.
- Experience contributing to open-source projects is highly valued.
- Familiarity with application and infrastructure monitoring tools such as Datadog and Cloudwatch.
- Understanding of search engine operations.
- Knowledge of the Lightning Network and Bitcoin technologies.
- Experience with discrete optimization methods, deep learning, and simulation techniques.
- Ability to manage large datasets using tools like Mapreduce, Airflow, and Spark.
- Familiarity with concepts in graph theory.
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