Description

You will design and develop scalable, cloud-native backend services and APIs supporting core PLS workflows.

Responsibilities

• Build and evolve event-driven architectures and distributed systems.
• Implement and optimize batch and streaming data pipelines using Spark, Scala, and Python.
• Improve system performance, stability, and data quality using observability and operational excellence.
• Mature prototypes and proof-of-concepts into production-grade services.
• Strengthen CI/CD pipelines, automated testing frameworks, and infrastructure-as-code practices.

Required Skills

• 7+ years building production-grade backend services using Java and JVM-based technologies.
• 5 years of full-stack engineering experience, covering backend services, APIs, and UI frameworks.
• Strong hands-on experience with Scala, Python, and Apache Spark for data-intensive applications.
• 5 years working with AWS services, including Lambda, S3, SQS, SNS, API Gateway, MWAA/Airflow, and CloudWatch.
• Deep understanding of distributed systems and event-driven architectures.
• Strong command of engineering best practices: Git workflows, code reviews, automated testing, and CI/CD.
• Ability to plan, prioritize, and coordinate across multidisciplinary teams.

Key Skills

Education

Bachelor's degree