Вакансія Senior Software/Data Engineer (Python/AWS)

Skills

• Python
• Ruby
• AWS
• ECS
• EKS
• AWS Lambda
• Terraform
• AWS SQS
• Kafka
• Apache Spark
• DataBricks
• AirFlow

Опис вакансії

We’re looking for a Senior Software/Data Engineer to join our client, a leading digital platform in the subscription-based content industry. Their product handles millions of daily interactions, providing seamless access to ebooks, audiobooks, and other media.
This remote position, ideally suited for candidates located in Europe or LATAM, is perfect for someone who enjoys backend development with a strong emphasis on cloud architecture and data processing.

About the project

Client is an American e-book and audiobook subscription service that includes one million titles. The platform hosts 60 million documents on its open publishing platform.
Core Platform provides robust and foundational software, increasing operational excellence to scale apps and data. As a Backend Engineer, your focus will be on building and optimizing scalable backend systems and data pipelines that support real-time processing and event-driven architectures.
Tech Stack: Python, AWS Cloud Services (eg. ECS, EKS, Lambda), SQS, Kafka, IaC, Terraform, Apache Spark, Databricks, Airflow

Must-have for the position

• 5+ years of experience as a professional combined experience in software engineering and data engineering with Python (Familiarity with Ruby is a plus).
• Proven track record of designing and delivering complex software systems with minimal supervision.
• Experience building and maintaining high-throughput systems or data pipelines handling millions of requests daily.
• 3+ years of deep experience with AWS cloud services.
• Hands-on experience deploying solutions to production environments using ECS, EKS, or AWS Lambdas.
• Ability to test, profile, and optimize systems for performance and scalability.
• Proficiency with Infrastructure as Code using Terraform.
• Experience working with real-time data processing, queues, or event streams (e.g., SQS, Kafka).
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Strong communication skills and a collaborative mindset.
• Excellent English skills and the ability to engage with both technical and non-technical stakeholders.

Will be a strong plus

• Experience with Apache Spark, Databricks, or similar distributed data processing frameworks.
• Workflow orchestration experience using Apache Airflow.
• Exposure to Machine Learning pipelines or ML-driven applications.

Responsibilities

• Design and deliver complex software systems, ensuring scalability, reliability, and maintainability.
• Develop high-performance backend solutions, primarily using Python; optionally contribute to Ruby-based components.
• Build and maintain robust data pipelines and high-throughput systems processing millions of requests per day
• Deploy and operate cloud infrastructure leveraging AWS services (ECS, EKS, Lambda).
• Test, profile, and optimize system performance for efficiency and scalability.
• Work with real-time data processing systems, queues, and event-driven architectures (e.g., Kafka, SQS).
• Implement infrastructure as code (IaC) using Terraform for consistent and reliable deployments.
• Collaborate cross-functionally with other engineering and product teams, sharing knowledge and participating in architectural decisions.
• Conduct code reviews and provide mentorship, promoting engineering best practices and continuous team improvement.