Senior Backend Engineer

Dataroid is in search of a Senior Backend Engineer who will be responsible for the complete lifecycle of scalable, secure and well designed software products from research and design to implementation. You’ll be working closely with designers, analysts, quality assurance and other teams to translate each design into real-life products.

Key Responsibilities

• Writing well designed, reusable, testable and secure code by applying best software development practices
• Designing and implementing low-latency, high-availability and performant applications
• Architecting well defined APIs for user facing elements developed by front end developers
• Collaborating in a multi-disciplinary team
• Participating and conducting code reviews
• Discovering, learning and implementing new technologies
• Mentoring junior team members in best practices

Qualifications & Experience

• BSc/MSc/PhD degree in Computer Science or a related field or equivalent work experience
• At least 5+ years of professional software engineering experience in designing and building backend systems
• Proficiency with Java and Spring Framework (Boot, Data, Cloud, Security etc)
• Proficiency with OOP concepts, large-scale software architecture, networking and distributed system and UNIX/Linux environments
• Good understanding of fundamental design principles for a scalable application
• Experience with Service-oriented architecture, microservices, REST APIs and containerization (Docker, Kubernetes)
• Experience with Kafka
• Strong unit test and debugging skills
• Proficiency in code versioning tools such as Git
• Strong sense of analytical thinking and problem-solving skills
• Excellent attention to detail
• Highly Effective time management and multitasking skills
• Strong verbal and written communication skills

Nice to have

• Experience with relational and non-relational data stores, key-value stores and search engines (Postgres, ScyllaDB, Druid, Hazelcast, Redis, Elasticsearch etc.)
• Experience in architecting, designing and implementing large scale systems
• Working knowledge with Amazon Web Services , Google Cloud Platform, Microsoft Azure and/or any other cloud computing service provider
• Experience or willing to learn large scale stream processing technologies
• Prior experience with SCRUM/Agile methodologies