About the role

Senior Software Engineer for distributed systems handling large data for Capgemini Engineering. Collaborating in R&D and implementing solutions on a global scale.

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.

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.

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