Senior Backend Software Engineer (Python)

About the role

Mastercard’s Dynamic Yield team is looking for a Senior Backend Software Engineer with strong Python expertise to design and optimise backend services that power machine‑learning pipelines and real‑time personalisation. You will work on scalable, high‑performance systems in a cloud‑native environment.

Key responsibilities

• Design, develop and optimise backend services supporting ML pipelines, APIs and real‑time decision‑making.
• Architect and implement scalable data processing workflows and integrate ML models into production.
• Build and maintain infrastructure for model deployment, monitoring and versioning.
• Ensure high availability, performance and security of backend services.
• Lead initiatives to improve system architecture, reduce technical debt and enhance development processes.
• Collaborate with data scientists, ML engineers and DevOps teams to streamline model integration.
• Stay current with advancements in backend technologies, cloud computing and distributed systems.

Required profile

• 4+ years of backend engineering experience designing distributed systems.
• Strong proficiency in Python (preferred) and familiarity with Java or Go.
• Deep experience with cloud platforms such as AWS, GCP or Azure.
• Hands‑on experience with containerisation and orchestration (Docker, Kubernetes).
• Experience with scalable SQL and NoSQL databases (MySQL, PostgreSQL, Redis, Cassandra).
• Proficiency in CI/CD pipelines and infrastructure‑as‑code tools (Terraform, CloudFormation).
• Knowledge of high‑performance APIs and microservices architecture.
• Experience with MLOps or data pipelines is a plus.

Required skills

• Python
• Java
• Go
• AWS
• GCP
• Azure
• Docker
• Kubernetes
• MySQL
• PostgreSQL
• Redis
• Cassandra
• CI/CD
• Terraform
• CloudFormation
• APIs
• Microservices