Principal Software Engineer - Distributed Systems

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We're looking for a diverse group of collaborators who believe data has the power to improve society. Adventurous minds who value solving some of the world's most challenging problems. Here, employees are encouraged to push their boldest ideas forward, united by a passion to create a world where data improves the quality of life for people and businesses everywhere.

Principal Software Engineer - Distributed Systems and Data Engineering, Cloud Metadata Platform

Principal Software Engineer

Cloud Metadata Platform team,

You will report to the Chief Development Architect, Engineering.

Your Role Responsibilities Here's What You'll Do:

• Build services, products and infrastructure at the intersection of AI and distributed systems.
• Design and develop scalable, reliable, and high-performance data systems on the cloud across geographic regions and Cloud providers.
• Lead the end-to-end development lifecycle of complex, high-impact software products, from requirements gathering to development, deployment and maintenance.
• Collaborate with cross-functional teams including product managers, designers, and other engineers to define product requirements and specifications.
• Produce detailed functional and non-functional specifications and technical designs based on high-level requirements.
• Collaborate with peer engineers and architects across teams to deliver end-to-end solutions and features.
• Mentor and coach junior members of the engineering team and set a high bar for technical excellence, architecture and engineering best practices.
• Participate in code reviews and provide constructive feedback to ensure code quality and maintainability.
• Be an amazing performer and team player who enjoys challenging assignments in a fast-growing, distributed workplace.
• Work in an Agile software development team delivering product and feature increments in short iterations.
• Contribute to the continuous improvement of engineering processes and practices.

What We'd Like to See

• Bachelor's or Master's degree in Computer Science Engineering or a related field.
• 10+ years of experience in software development, with a focus on building cloud-native, distributed, reliable and scalable data systems and services.
• Strong understanding of software design principles and computer science fundamentals : data structures, algorithms, distributed systems and information retrieval.
• Strong programming skills in languages such as Java, Scala, Go and an inclination to write understandable and testable code.
• Experience in designing and implementing highly scalable data processing systems using Apache Spark, Apache Iceberg and Apache Kafka.
• Strong understanding of various data storage and retrieval systems - RDBMS, Elasticsearch, NoSQL, Graph Databases etc.
• Experience with microservices architecture and cloud platforms (e.g., AWS, Azure, GCP)
• Excellent problem-solving skills and a passion for tackling complex technical challenges.
• Experience with cloud-native development and deployment processes.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• A proactive and self-motivated attitude with a strong sense of ownership and accountability.

Perks & Benefits

• Comprehensive health, vision, and wellness benefits (Paid parental leave, adoption benefits, life insurance, disability insurance, and 401k plan or international pension/retirement plans
• Flexible time-off policy and hybrid working practices
• Tuition reimbursement program to support your personal growth
• Equity opportunities and an employee stock purchase program (ESPP)
• Comprehensive Mental Health and Employee Assistance Program (EAP) benefit

We're guided by our values and passionate about building and delivering solutions that accelerate data innovations. We do that by creating an that celebrates and supports diversity. So, if your experience aligns but doesn't exactly match every qualification, apply anyway. You may be exactly who we need to fuel our future with innovative ideas and a thriving culture.

Where data and AI come to life.