Senior Software/Data Engineer (Python + Distributed systems) (вакансія неактивна)

We’re looking for a Senior Software/Dada Engineer (Python + Distributed systems) to join our client, an AI-powered knowledge company helping people move from information access to understanding.

You’ll be working on event-driven, distributed, and scalable systems in Python, building large-scale data and service pipelines on AWS that support project’s content enrichment and metadata systems. This is a long-term remote opportunity with a supportive international team and strong ownership from day one.

This is a long-term, fully remote opportunity with a supportive international team and plenty of room for ownership.

This is a long-term, full-time remote role, best suited for candidates located in LATAM, but could be also for people from Europe, Ukraine, with the overlap of EST.

Must-have for the position

• 7+ years of experience as a professional software engineer.
• Strong proficiency in Python.
• Proven ability to lead the design and delivery of complex software systems with minimal supervision.
• Expertise in designing and architecting large-scale event-driven and distributed systems.
• Strong cloud expertise with AWS services such as ECS, Lambda, SQS, SNS, and CloudWatch.
• Familiarity with data processing frameworks such as Spark and Databricks.
• Experience with infrastructure-as-code tools like Terraform.
• Solid understanding of system performance, profiling, and optimization.
• Experience leading technical projects and mentoring engineers.
• Experience building and maintaining data-intensive backend systems or pipelines.
• Upper-Intermediate English or higher.

Will be a strong plus

• Experience with Scala
• Familiarity with Ruby
• Bachelor’s degree in Computer Science or equivalent professional experience
• Experience with workflow orchestration tools such as Airflow
• Experience integrating ML or LLM-based models into production systems

Responsibilities

• Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices
• Lead the design, implementation, and scaling of event-driven, distributed systems to extract, enrich, and process metadata from large-scale document and media datasets
• Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration
• Contribute to the team’s engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks
• Build and maintain scalable APIs and backend services for high-throughput content processing
• Leverage AWS services such as ECS, Lambda, SQS, ElastiCache, and CloudWatch to design and deploy resilient, high-performance systems
• Optimize and refactor existing backend systems for scalability, reliability, and performance
• Ensure system health and data integrity through monitoring, observability, and automated testing

About the project

Client is an American ebook and audiobook subscription service that includes more than one million titles. They began as a site to host and share documents and has grown into a global digital library with over 1.5 million subscribers in nearly every country worldwide.

The team focuses on building scalable metadata pipelines that utilize traditional tools, in-house ML models, and LLMs. In this role, you’ll design and optimize large-scale data and service pipelines running on AWS, supporting project’s content enrichment and metadata systems. You’ll work closely with cross-functional teams to design reliable backend services that integrate machine learning models and LLM-based components when needed. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a truly global scale.

Tech Stack: Python 3.10.x, PySpark, Airflow, pytest, Pandas, AWS, Delta Lake, MySQL (Aurora), Databricks, Terraform, Datadog, AWS Lambda, ECS, SQS, SNS, ElastiCache, CloudWatch.
Team Composition: 9 people, one of them is from KITRUM.

Working conditions

Work schedule: 10:00 — 18:00 EST/EDT overlap required (17:00 — 01:00 EET/EEST).
Engagement: long-term, full-time.
Fully Remote: This role offers the flexibility to work from anywhere (Occasional travel to company offices may be required, a few times per year)

Interview process

• HR Interview: Initial discussion with our recruiter;
• KITRUM’s Technical Interview
• Client Interviews.

Why you’ll love working here

• Competitive Pay: We offer a compensation that reflects your skills and experience;
• Remote Flexibility: Work from anywhere — our team is distributed across the globe;
• Professional Growth: Access to continuous learning opportunities, including paid courses, certifications, mentorship;
• Work-Life Balance: 30 days of paid vacation and 6 paid sick days per year, plus flexible hours;
• Inclusive Culture: We embrace diversity and foster a culture of trust, transparency, and mutual respect;
• Cool Perks: Join our virtual team events, get a budget for your home office setup, and enjoy access to exclusive content and tools.

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