Senior Streaming Platform Engineer (Kafka & Distributed …, Ciudad de México

Senior Streaming Platform Engineer (Kafka & Distributed Systems) ???? Location: Remote – Mexico We are: Wizeline is a general AI-native technology solutions provider that develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. Are you a fit? We’re looking for a highly skilled Senior Streaming Platform Engineer with deep expertise in Kafka and distributed event-driven systems to join our growing Ingest Platform Team. This is an opportunity to work on large-scale, high-throughput streaming architectures powering mission-critical platforms and real-time data ecosystems. You’ll play a key role in designing, scaling, optimizing, and evolving Kafka-based solutions that support enterprise-grade ingestion and event processing pipelines. You’ll collaborate with platform engineers, data teams, infrastructure specialists, and application developers to build resilient, scalable, and high-performance streaming systems in modern cloud-native environments. If you enjoy solving complex distributed systems challenges, optimizing large-scale event pipelines, and building reliable streaming infrastructure that operates at scale, this role is for you. Key Responsibilities
- Design, implement, and maintain high-performance Kafka streaming solutions for enterprise-scale ingestion platforms.
- Build and support Kafka infrastructure with a strong focus on scalability, resilience, reliability, and operational excellence.
- Optimize Kafka topic configurations, partitions, replication, and consumer groups to maximize performance and throughput.
- Manage Kafka broker upgrades, debugging, troubleshooting, and infrastructure maintenance activities.
- Develop integrations between Kafka and external systems, services, and data platforms.
- Support event-driven architectures and real-time streaming workflows across distributed systems.
- Collaborate with engineering teams to implement scalable ingestion and streaming solutions aligned with platform needs. Must-have Skills
- Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related field.
- 8+ years of experience working with distributed systems, streaming platforms, or backend engineering.
- Strong hands-on expertise with:
- Apache Kafka
- Kafka Streams
- Kafka Connect
- Experience managing Kafka infrastructure beyond managed services (not limited to AWS MSK).
- Strong experience debugging Kafka brokers, managing upgrades, and resolving infrastructure issues.
- Solid understanding of:
- Kafka scalability best practices
- Partitioning strategies
- Consumer group optimization
- Replication and throughput optimization
- Experience with at least one programming language:
- Python
- Java
- Kotlin
- TypeScript
- Experience with:
- Apache Airflow
- dbt Core
- Docker
- Kubernetes
- Experience integrating Kafka with distributed platforms and enterprise systems.
- Strong problem-solving and analytical thinking skills.
- Advanced English level (B2+/C1) with excellent communication and collaboration skills. Nice-to-have
- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
- Experience working in cloud environments such as AWS.
- Familiarity with CI/CD pipelines and infrastructure automation.
- Knowledge of Kafka security best practices.
- Experience building internal developer platforms or streaming enablement tools.
- Exposure to large-scale event-driven architectures and real-time analytics platforms.
- Experience working with observability and monitoring platforms for distributed systems. Why you’ll love this role
- Work on large-scale real-time streaming systems and modern distributed architectures.
- Influence platform-level engineering decisions and scalability strategies.
- Collaborate with highly skilled engineers in a fast-paced, innovation-driven environment.
- Solve technically challenging problems involving reliability, throughput, and distributed event processing.
- Gain exposure to modern cloud-native infrastructure and enterprise-scale data ecosystems. What we offer
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- A Vibrant Community
- Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here. Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5uwcnu