Sr. Backend Distributed Systems Engineer

Capgemini • Toronto, ON

3d • CA$62,874 - CA$147,504 • Remote

About The Position

As a Senior Software Engineer, you will work on one of the world’s largest social media platforms, handling multiple petabytes of data processed daily. You will be part of a self-organized R&D team working in a challenging and innovative environment for our client. You will investigate, design, and implement solutions for complex technical challenges using cutting-edge technologies, including building and enhancing data processing platforms that power software used by hundreds of millions of users.

Requirements

• Strong experience with distributed key-value stores such as Redis Cluster or StarRocks(preferable).
• Solid understanding of distributed systems, containerization, and cloud-native architectures, with hands-on experience deploying and managing workloads on Kubernetes platforms (e.g., AWS EKS).
• Proficiency in Python, with a strong understanding of low-level system concepts and system calls; experience with C++ is a plus.
• Hands-on experience with observability and monitoring tools for distributed systems (e.g., Prometheus, Grafana).
• Strong problem-solving skills, with the ability to operate effectively in a fast-paced, collaborative environment.

Nice To Haves

• StarRocks

Responsibilities

• Receive tasks from the Project Lead or Team Lead (TL), prepare functional and design specifications, and align them with all stakeholders.
• Ensure assigned areas are delivered on time and meet quality expectations.
• Provide effort estimations, agree on timelines with the manager, and contribute to project planning.
• Evaluate existing data systems and identify improvement opportunities.
• Develop best practices for data coding to ensure system-wide consistency.
• Update and optimize local and metadata models.
• Assess implemented data systems for discrepancies, variances, and performance efficiency.
• Troubleshoot and optimize data infrastructure and pipelines.
• Understand business drivers and analytical use cases, translating them into reliable data products.
• Design, implement, and maintain cloud-based pipelines that deliver business-critical data efficiently.
• Identify area-level risks and implement mitigation plans.
• Report readiness/quality status and escalate critical issues appropriately.
• Take responsibility for resolving crisis situations within the assigned area of responsibility (AOR).
• Initiate and conduct code reviews, and help establish coding standards, conventions, and guidelines.
• Propose technical and functional improvements to enhance the product.
• Continuously upgrade professional knowledge and skills.
• Collaborate closely with cross-functional teams.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed