Senior Golang Software Engineer

Our client is seeking a dedicated Software Engineer to join our team and help a client improve their cloud storage platform.
It's a global leader in data storage solutions, developing precision-engineered data storage technologies and solutions with a focus on scale-out storage systems and cloud-based capabilities. The company has a long-standing history of innovation in the storage industry.

Our client is the provider of an edge-to-cloud mass storage platform designed for distributed enterprises to handle the rapid inflow of unstructured data. This Cloud Storage-as-a-Service platform is an S3-compatible, storage-focused cloud solution that ensures always-on mass data capacity for storage and activation. The solution offers a simple, reliable, and efficient service that enables enterprises to unlock the potential of their large unstructured datasets.

The development team for the cloud storage platform consists of 3-4 skilled developers who collaborate closely to enhance and maintain the S3-compatible, edge-to-cloud mass storage platform. This tight-knit group works on distributed systems designed to handle the rapid inflow of unstructured data for enterprise clients.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Design, develop, and maintain highly reliable and available distributed systems.
• Participate in architecture, design, and code review.
• Implement new features according to specifications.
• Write unit and integration tests.

• 8+ years of experience in Software Engineering
• Proficiency in GoLang, crafting robust and efficient applications
• Experience in designing high-load systems
• Expertise in Cloud Computing and Cloud Storage
• Deep understanding of Distributed Systems, ensuring resilience, scalability, and fault tolerance.
• Proficiency in Redis for in-memory data structures.
• Strong knowledge of PostgreSQL, ensuring optimal database performance.
• Experience with modern messaging and queuing systems like Kafka, Pub/Sub, RabbitMQ, or NatsIO.
• Familiarity with NoSQL databases such as MongoDB, Cassandra, DynamoDB, CosmosDB, or Clickhouse, enabling dynamic and scalable data management.
• Excellent communication and presentation skills, with the ability to effectively share ideas and collaborate within cross-functional teams.
• Knowledge of Kubernetes
• Knowledge of Terraform