Job Description

Key Responsibilities

• Design, develop, and maintain scalable and high-performance backend services using Java and Python .
• Build and enhance data platform components to support data ingestion, processing, and analytics workflows.
• Collaborate with DevOps teams to define and implement CI/CD pipelines , automation tools, and infrastructure as code.
• Participate in system architecture discussions , contributing to platform design decisions that improve reliability, scalability, and security.
• Implement best practices for code quality, performance optimization, monitoring, and testing .
• Work with cloud infrastructure (AWS/GCP/Azure) to deploy and manage services and data pipelines.
• Troubleshoot and resolve complex system and application issues, including root cause analysis.
• Document technical designs, architecture, and operational procedures.

Required Qualifications

• Strong programming experience in Java and Python .
• Solid understanding of backend development principles , APIs, microservices, and event-driven architectures.
• Proven experience with DevOps practices , including containerization (Docker), orchestration (Kubernetes), and infrastructure automation (Terraform, Ansible, etc.).
• Proficiency with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Strong understanding of system design, distributed systems, and performance tuning .
• Familiarity with data platforms or big data technologies (e.g., Kafka, Spark, Flink, Airflow, or similar) is a plus.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience working on data-intensive applications or enterprise-grade platforms .
• Familiarity with observability tools (Prometheus, Grafana, ELK stack).
• Exposure to data lake, warehouse, or lakehouse architectures .

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