Senior Backend Engineer
Description
Join us at Dataroid, a foremost player in the digital analytics and customer engagement industry. Our AI-powered platform helps leading enterprises turn customer data into actionable insights, optimize digital journeys, and drive measurable business growth.
By combining behavioral analytics, customer insights, and real-time engagement, Dataroid enables enterprises to better understand their users and deliver personalized experiences across digital channels. Recognized as a Representative Vendor in the 2026 Gartner® Market Guide for Product Analytics, Dataroid is an award-winning platform trusted by leading banks, financial institutions, and global enterprises.
Today, our technology helps shape the digital experiences of more than 500 million users. At Dataroid, our team builds and continuously evolves a platform designed to handle complex enterprise needs, bringing together advanced analytics, AI, and customer engagement capabilities in one solution.
Key Responsibilities
- Writing well designed, reusable, testable and secure code by applying best software development practices
- Using AI coding assistants (e.g. Claude Code, Copilot, Cursor) in daily development while staying fully accountable for everything that ships: reviewing, testing and being able to explain every generated change
- 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
- Reviewing AI-assisted code with the same rigor as hand-written code, and helping the team build shared AI practices (project context files, review checklists, guidance for junior members)
- 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
- Hands-on experience building software with AI coding assistants, and the judgment to keep their output within the given requirements, technical constraints and scope
- Strong unit test and debugging skills
- Ability to verify AI-generated work through tests, reproduction and code reading, and to explain and defend design decisions without relying on the tool
- 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