Principal Software Engineer (MariaDB, MongoDB, and Lakehouse Expert) - North America Software Center

About the Role

Key Responsibilities

• Lead efforts in optimizing database or Lakehouse systems (MariaDB, MongoDB, Lakehouse) for performance, reliability, and scalability.
• Analyze and resolve operational challenges, ensuring continuous improvement for mission-critical systems.
• Guide teams in designing, implementing, and maintaining highly performant and optimized data pipelines.
• Collaborate with Software Engineers and Data Architects to improve system infrastructure through monitoring, tuning, and troubleshooting MariaDB, MongoDB, or Lakehouse technologies.
• Define and implement best practices for managing data systems, including backup, recovery, and high availability strategies.
• Lead cross-team discussions on operations, scalability, and architectural refinements for database and data warehouse systems.
• Contribute to the lifecycle of systems from conceptual design through implementation, deployment, and optimization.
• Mentor team members to ensure deep understanding of database and Lakehouse optimization techniques.

Requirements

• Bachelor's degree or higher in Computer Science, Information Engineering, Industrial Engineering, or related fields, or equivalent practical experience.
• At least 8 years of experience in database operations and optimization, with hands-on expertise in MariaDB, MongoDB, or Lakehouse technologies.
• Proven track record of improving performance and scalability in complex database and Lakehouse environments.
• Extensive experience in software development using programming languages such as Java, Python, Go, Rust, or other relevant languages.
• Minimum 3 years of experience in cloud computing (AWS, Azure, or GCP), with a focus on database and data processing workloads.
• Proficiency in containerized workload management using Kubernetes or similar orchestration software.
• Strong technical leadership skills with at least 3 years in a leadership role, setting direction for database and system optimization projects.
• Hands-on expertise with version control tools like Git, GitLab, or GitHub.
• Exceptional communication skills to collaborate effectively with diverse stakeholders across global teams.

Nice to Have

• Experience with large-scale cloud-native infrastructure.
• Knowledge of high availability, backup, and recovery strategies for data systems.
• Familiarity with data pipelines and data architecture design.

Qualifications

• Bachelor's degree or higher in relevant fields or equivalent practical experience.

Benefits & Perks

• Starting salary typically ranges between $166,800 and $223,050 per year, with a full range up to $241,800 depending on skills and experience.
• Market-competitive pay, profit sharing, and incentive bonuses.
• Tuition assistance.
• Comprehensive medical, dental, and vision insurance.
• Life insurance and a 401(k) plan with employer match.
• Ten paid holidays per year and paid time off.
• Onsite amenities including a fitness center, game room, physical therapist, and subsidized café.