職務要求
•Lead and contribute actively to architecture & design decisions.
•Participate in implementation discussions with all stakeholders.
•Design & implement robust, scalable, high performance and low latency RESTful APIs.
•Design & implement scalable microservices using container technologies.
•Evaluate and improve existing algorithms developed by our scientists for production deployment.
•Automate project builds and monitor application logs to ensure stable consistent deployments.
•Mentor junior engineers, perform code reviews and document design decisions.
•Write clean testable code.
任職資格
•5+ years of software design and development experience, strong fundamentals in computer science with experience in data structures, algorithms, and software design.
•3+ years of experience contributing to cloud-centric architecture and event-driven design (architecture, design patterns, reliability, and scaling) of new and current systems.
•BS or MS in Computer Science or a related degree.
•Strong knowledge of the following programming languages: Java, Python.
•Have the willingness and ability to learn new programming languages, frameworks, and methodologies.
•Can work independently on a project, with strong analytical and problem-solving skills.
•Experience in developing RESTful web APIs.
•Experience with AWS and/or Azure, Docker, and Kubernetes.
•Strong written and verbal communication skills.
Preferred Qualifications
•Familiarity with relational databases such as MySQL, PostgreSQL, Oracle or Aurora.
•Familiarity with NoSQL databases like MongoDB, Cassandra, CouchDB, and/or Elasticsearch.
•Familiarity with the ELK stack for application logging; Elasticsearch, Kibana, Logstash and Filebeat.
•Familiarity with Cloud based Block Storage like AWS S3 and Azure Blob Storage.
•Familiarity with Graph databases like Neo4j.
•Familiarity and/or hands on experience with Machine Learning tools like PyTorch, TensorFlow and Keras.
•Familiarity with configuring and using CI/CD pipelines.
•Understanding of caching, queueing and big data technologies such as Redis, RabbitMQ & Kafka + Spark.
•Understanding of AWS infrastructure and provisioning.
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