platform engineer

BairesDev delivers technology projects and solutions for enterprises and startups globally.

• Build and maintain data platform components in Java that support large-scale distributed Spark workloads;
• Design and optimize data processing pipelines running in Kubernetes-native cloud environments;
• Work on platform reliability, observability, and performance across distributed data infrastructure;
• Identify and resolve performance and scalability issues in data platform components;
• Collaborate with data engineering and platform teams to deliver high-quality platform features;
• Contribute to technical discussions, code reviews, and platform engineering standards.

• 5+ Years of experience in IT roles;
• 3+ Years of experience with Java as a primary language in data platform or distributed systems contexts;
• Hands-on experience with Apache Spark or similar distributed data processing frameworks;
• Solid foundation in distributed systems design and operation;
• Experience working in Kubernetes or containerized cloud deployments;
• Advanced proficiency in English.

• Excellent compensation in USD or your local currency if preferred;
• Hardware and software setup for you to work from home;
• Flexible hours, create your own schedule;
• Paid parental leaves, vacations, and national holidays;
• Innovative and multicultural work environment, collaborate and learn from the global Top 1% of talent;
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.