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Senior Python Developer (Sorry, no visas or C2C submission)

Surge · May 20th 2020

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Position: Sr. Python Developer

Responsibilities: The Engineer will actively participate with Scrum development teams and meetings. Additionally, the Engineer will be responsible for working with a highly functional team developing and automating data ingest, optimizing system and search performance, integration with enterprise authentication services, and establishing/improving system monitoring while maintaining established security protocols development, test, and production systems • Senior Python Developer with good experience in Python, Pandas/NumPy/SciPy, RESTful/REST • Backend = Python • Frontend = Angular or React • Experience with node.js would be helpful • Expertise in at least one popular Python framework (like Django, Flask, or Tornado) and Spark/Kafka/Hadoop (plus) • Full Stack Engineer capable of designing solutions, writing code, testing code, automating test and deployment • Overall delivery of software components working in collaboration with product and design teams • Collaborating with other technology teams to ensure integrated end-to-end design and integration. • Enforcing existing process guidelines; drives new processes, guidelines, team rules, and best practices. • Ready, willing, and able to pick up new technologies and pitch in on story tasks (design, code, test, CI/CD, deploy etc.) • Ensures efficient execution of overall product delivery by prioritizing, planning and tracking sprint progress. (This can include the development of shippable code

Qualifications: • Expert with Python Development • 10+ years of Python Development experience • Bachelor/Master’s Degree in Computer science or any related quantitative field. • Knowledgeable in cloud platforms (preferable AWS: both traditional EC2 and serverless Lambda) •Deep Experience with micro-services architecture, CI/CD solutions (including Docker), DevOps principles • Understanding of the threading limitations of Python, and multi-process architecture • Solid foundation and understanding of relational and NoSQL database principles. • Experience working with numerical/quantitative systems, e.g., pandas, NumPy, SciPy, and Apache Spark. • Experience in developing and using RESTful APIs. • Expertise in at least one popular Python framework (like Django, Flask, or Tornado) • Experience in writing automated unit, integration, regression, performance, and acceptance tests. • Solid understanding of software design principles • Proven track record of executing on the full product lifecycle (inception through deprecation) to create highly scalable and flexible RESTful APIs to enable an infinite number of digital products. • Self-directed with a start-up/entrepreneur mindset. • Ravenous about learning technology and problem-solving. • Strong writing and communication skills.

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