1. Design, implement and deploy high-performance, scalable, robust SAAS applications using state-of-the-art technologies.
2. Build production-ready systems capable of large-scale data aggregation and processing
3. Develop and demonstrate a broad set of technology skills in Python programming, microservice design patterns, open-source libraries and frameworks, and technology architecture concepts (Django)
4. Collaborate with an excellent, cross-functional team across engineering, product, and design to conduct new technology research for product development and recommend product enhancements
5. Actively participate in code reviews, analyze results and choose the best solution
6. Continuously focus on improving the software quality and performance
Required skills:
1. At least 2 years of software engineering experience in Python
2. Hands-on expertise in many disparate technologies, typically ranging from large-scale data platforms, service-oriented architecture, distributed systems design, databases, etc.
3. A solid foundation in computer science, with strong proficiencies in data structures, algorithms, design patterns, and network protocols
4. Expertise in Python, and Django (or Flask, etc.)
5. Ability to deep dive into problem-solving and build elegant, maintainable solutions to complex problems, in addition to excellent interpersonal skills.
6. Able to design & create a database schema in SQL and NoSQL databases with data security in mind
7. Good understanding of REST APIs, including API design and versioning
8. Deep understanding of the HTTP protocol, web application performance, and scalability
9. Understanding of data caching techniques using services like Redis, etc.
10. Strong unit test and debugging skills
Preferred skills:
1. Track record of delivering apps/large software projects
2. Familiar with the challenges of distributed, asynchronous, redundant, fault tolerant systems
3. Experience with micro services architecture would be a plus
4. Familiarity with message brokers such as Kafka, RabbitMQ, etc.
5. Experience with DevOps
What we use:
1. Python, React, Django, GCP, Azure, Linux, Gitlab, Docker, Spacy, Scrapy, nltk, PostgreSQL and more
SignalX is a fast-growing startup in the field of knowledge discovery using various ML/NLP techniques. We are on a mission to solve one of the digital world's most fundamental problems, identifying business-critical insights from exponentially increasing public/private web data and then delivering it to the right set of users at the right time. Our core engineering team is responsible for building and scaling a set of highly intelligent and domain-specific bots to help us achieve this.
