Staff Backend Engineer

• inventive, pragmatic, and curious;
• comfortable navigating ambiguity;
• committed to building excellent engineering culture;
• eager to grow professionally within a strong and collaborative team.

We follow agile practices, own our processes, and continuously evolve with our product.

• close collaboration with the Head of Engineering on product architecture;
• hands-on implementation of new features;
• the opportunity to work on a product that handles petabytes of biological data;
• adapting and evolving APIs to meet the demands of AI/ML-driven use cases;
• involvement in cutting-edge software for life sciences, drug discovery, and bioinformatics;
• stretch goals for ambitious professionals who want to make a real impact.

ODM is evolving to support modern AI/ML pipelines in drug discovery. You’ll help shape APIs and infrastructure that make our platform seamlessly integrate with current and future AI-driven workloads.

Currently, our bets are placed on Java, Kotlin, ClickHouse, MySQL, Solr, Kubernetes, and Python — but we’re eager to adapt and innovate.

If you feel this resonates with you, don’t hesitate to reach out to us.

• maintain and evolve the system core, APIs, and related components;
• optimize data storage and backend systems for throughput, latency, and scalability;
• drive architectural evolution and manage tech debt in alignment with the product vision;
• help keep our system AI-ready and future-proof;
• promote an agentic engineering culture within the engineering team by leading by example.

• 8+ years in software engineering, with a strong backend focus;
• deep understanding of CS fundamentals (OOP, algorithms, data structures);
• extensive experience with data storages: RDBMS, columnar databases, search engines, and other NoSQL technologies;
• strong experience with messaging systems;
• proven experience in agentic engineering;
• expert-level Java/Kotlin skills;
• proven success with system-level refactoring;
• ability to detect and resolve performance bottlenecks;
• experience defining and hitting performance benchmarks;
• quick learner in complex domains;
• interest in life sciences, data science, and ML/AI applications;
• excellent communication and collaboration skills;
• fluent in English.

• knowledge of biology and genetics;
• experience with profiling/tracing/performance tools;
• familiarity with Python.