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indeed

Sr. Backend Distributed Systems Engineer

Capgemini
Toronto, CAN
Full Time
Senior
CAD 147,504/year
2 days ago
Distributed SystemsRedis ClusterStarRocksKubernetesAWS EKSPython
Free

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Key skills for this role

Distributed SystemsRedis ClusterStarRocks
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About the job you're considering

  • 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.

Your role

  • Receive tasks from the Project Lead or Team Lead, 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.
  • Initiate and conduct code reviews, and help establish coding standards, conventions, and guidelines.

Your skills and experience

  • 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.

Compensation

  • The base compensation range for this role in the posted location is: CAD 62,874 CAD 147,504/year.
  • Actual compensation may vary based on geographic location, education, certifications, experience, and other factors.
  • In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions.

Benefits

  • Paid time off: Vacation 12 25 days, 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.

Location

  • Remote anywhere in Canada.

About Capgemini

  • Capgemini Engineering is the world leader in engineering services.
  • Capgemini is a global business and technology transformation partner with 340,000 team members in more than 50 countries.

Disclaimers

  • Capgemini is an Equal Opportunity Employer.
  • Capgemini is committed to providing reasonable accommodation during the recruitment process.

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