IN - Senior Backend Engineer - 193
ThalozAruba
Posted October 13, 2025
Full Time
About the Company
Experts in Crafting Tech Teams ⚡️ At Thaloz, we’re dedicated to supporting our clients at every stage of the digital product journey, by building the right tech teams for your needs. With over 100 experts and a global presence in 20+ countries, we specialize in leveraging top-tier Latin American talent to deliver exceptional results. Our Services: → Recruitment: Find the right candidates, fast! We help you identify top talent and manage the hiring process, building strong teams for long-term success. → Staff Augmentation: Scale your team seamlessly with our nearshore talent from Latin America. Access specialized skills, reduce overhead, and retain full leadership control, without the hassle of traditional hiring. → Dedicated Teams: Need a full development team ready to go? We build expert pods, fully integrated into your workflow, ensuring seamless collaboration, on-time delivery, and outstanding results. → IT Outsourcing: Get a dedicated team tailored to your project needs. We deliver end-to-end solutions while you focus on your core business. Ready to turn ideas into reality? Let’s connect: www.thaloz.com/contact-us Join our community! 👨💻 Instagram: @thalozteam YouTube: @thalozteam Clutch: @thaloz
Job Description
Our client, a fast-growing AI-powered marketing platform, is seeking a highly motivated Senior Backend Engineer to join their globally distributed team. The role involves designing, developing, and deploying robust backend services using Java and Python, focusing on scalable infrastructure and collaboration with other teams. The team operates across the US and India, with a focus on Latin America's talent.
Requirements
- 6+ years of total professional experience in software development
- Expert-level proficiency in Java and its ecosystem
- 2+ years of hands-on experience with Python
- Significant experience with AWS cloud services (SQS, EC2, Lambda)
- Strong Kafka experience
- Proficiency with relational and non-relational databases
- Docker and Kubernetes knowledge
- Experience working with Large Language Models (LLMs) (optional)
