Senior Python Engineer - API

November 29

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Crystal Intelligence

WebsiteLinkedInAll Job Openings

51 - 200 employees

₿ Crypto

📋 Compliance

🔐 Security

💰 Seed Round on 2020-04

Description

• Provide technical leadership and guidance in Python development, API architecture, and big data solutions. • Design, development, and deployment of robust Python-based applications and services, with a focus on efficiency, scalability, and maintainability. • Be part of a digital transformation initiatives by re-engineering and improving existing software solutions, leveraging modern technologies and best practices. • Collaborate with cross-functional teams, including product, sales, security & data intelligence, to identify requirements, define solutions, and deliver value-added services. • Mentor junior engineers, conduct technical training sessions, and foster a culture of continuous learning and innovation within the engineering team. • Write clean, maintainable, and efficient code, adhering to best practices and coding standards. • Create architecture diagrams and technical documentation. • Ensure architectural integrity in accordance with best practices and software design principles from conception to implementation.

Requirements

• Minimum of 8 years of professional experience in Python development. • Knowledge of PostgreSQL and data warehouse solutions such as Clickhouse or SnowFlake. • Proven track record of being part of digital transformation initiatives and re-engineering existing software solutions. • Proven track record of designing, implementing, and optimizing API services. • Excellent problem-solving skills, with a keen attention to detail and a passion for delivering high-quality software solutions. • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. • Extensive understanding of architectural styles and design patterns. • Experience with deploying complex applications on cloud platforms using a container orchestration platform, such as Kubernetes. • Understand the tradeoffs of performance, compute, and memory and simultaneously optimize for all three. • Track record of working on hard problems including job scheduling, concurrency, and scaling. • Independent and self-driven. • • Experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper. • Prior experience in the compliance sector, particularly within traditional finance or crypto-related environments. • Experience working in or with analytics-focused companies including familiarity with analytics tools, data visualization techniques, and best practices in data-driven decision-making. • Contribution to open-source projects and Stackoverflow. • Experience with Incident management. • Familiarity with Blockchain technologies. • Familiarity with the GoLang and Rust programming languages. • Familiarity with Infrastructure as a code such as Terraform. • Familiarity with GraphQL query language. • Experience with a distributed team / remote work.