Go Developer (Data Science & ML Platform)

Company Background

Our client is building the world's first knowledge network, leveraging an AI-powered platform to transform information into actionable knowledge. Their mission is to empower individuals to make informed decisions that drive positive impact in every aspect of life — whether at work, at home, or in the community.

Project Description

You will play a crucial role in designing, implementing, and scaling the data processing pipeline, as well as handling data ingestion and inferencing. Working closely with architects and team members, you will define technical direction and apply your expertise in Go, Python, and Kafka to develop highly scalable systems.

Technologies

• Go
• Python
• Kafka
• PostgreSQL
• Docker
• Kubernetes

What You'll Do

• Define and implement the Go-based data processing pipeline, including ingestion and inferencing;
• Design and operate highly available, multi-tenant backend services;
• Build, test, and deploy scalable features from development to production;
• Collaborate with architects and cross-functional teams to establish technical direction;
• Ensure secure, efficient, and robust cloud-based services;
• Manage individual priorities, deadlines, and deliverables;
• Mentor teammates and collaborate with stakeholders to convey complex technical concepts;

Job Requirements

• 5+ years of experience with Go development;
• 5+ years of experience designing and operating highly available multi-tenant services;
• 2+ years of experience building data processing pipelines;
• Strong knowledge of databases in the context of highly scalable web services, preferably PostgreSQL;
• Experience with Python and Kafka (or similar platforms);
• Solid understanding of networking concepts (TCP/IP, HTTP, SSL, etc.);
• Experience with Linux, containers, Docker, and Kubernetes;
• Familiarity with best practices for securing cloud-based services;
• Proficiency in English (from B1) to effectively communicate and collaborate with global stakeholders;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.