Software Engineer (L3) - Data Infrastructure / AI

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Written by AI from the job title and company, not by Twilio, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Software Engineer (L3) specializing in Data Infrastructure and AI at Twilio, you will play a critical role in designing and implementing robust data systems that support our innovative AI initiatives. Your expertise will help shape the way we harness data across our platform, empowering teams to build scalable products that enhance the user experience. You will collaborate with cross-functional teams, tackle complex challenges, and contribute to the strategic direction of our data engineering efforts.

Job Responsibilities

• Design, develop, and maintain data pipelines and architectures that support AI-driven applications.
• Collaborate with data scientists and stakeholders to understand business requirements and deliver appropriate data solutions.
• Optimize and refine existing data processes to enhance efficiency and reliability.
• Implement best practices for data governance, security, and compliance across data systems.
• Monitor system performance and troubleshoot issues to ensure high availability and resilience.
• Participate in code reviews and mentorship of junior engineers to foster a culture of learning.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 5+ years of experience in software engineering, with a focus on data infrastructure or AI.
• Proficiency in programming languages such as Python, Java, or Go.
• Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
• Familiarity with cloud platforms (AWS, GCP, Azure) and database systems (SQL and NoSQL).
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.

Technologies & Tools

In this role, you will utilize a range of technologies and tools including but not limited to Apache Spark for data processing, AWS S3 and Redshift for storage and analytics, and Docker for containerization. You will also engage with various machine learning libraries such as TensorFlow or PyTorch to support AI application development. Familiarity with CI/CD tools and Git for version control will also be crucial for maintaining code quality and deployment efficacy.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset, demonstrating a keen ability to solve complex problems efficiently. They will thrive in a collaborative environment, valuing teamwork and open communication. Excellent time management and organizational skills are critical, alongside a passion for continuous learning in the ever-evolving tech landscape. A proactive approach to innovation and a commitment to delivering high-quality solutions will set you apart as a valuable addition to our team.