MongoDB Operations Lead – Cloud Data & Lakehouse

TSMC

Vancouver (WA)

On-site

USD 166,800 - 241,800

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision

401(k) with employer match

Paid time off & 12 holidays

Job summary

TSMC Washington in Vancouver, WA is seeking a senior software engineer to optimize MongoDB for performance and scale. You will own database operations, design scalable data pipelines, and lead cross-functional teams across global operations.

Requirements include 8+ years in database ops with MongoDB, strong cloud experience (AWS/Azure/GCP), and leadership. On-site role with competitive pay and full benefits. Email recruitingwa@tsmc.com for details.

Qualifications

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 MongoDB.
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.
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.

Responsibilities

Lead efforts in optimizing MongoDB 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 MongoDB systems.
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.