About the Job
As a Full Stack Engineer at Presight AI, you will join the development team to build and enhance the annotation platform, contributing to a cutting-edge Big Data analytics system. You will collaborate closely with Product Managers, Architects, and Software Engineers to research, design, implement, and optimize functionalities that support insight-driven decision-making across various sectors.
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Key Responsibilities
- Design, develop, test, refactor, and scale the next-generation data analytics platform, providing capabilities for data management, ETL pipelines, machine learning model integrations, and rich visualizations.
- Proactively prototype new ideas and components, transforming existing proofs of concept into production-grade solutions.
- Participate in code reviews, offering thoughtful and constructive feedback.
- Take ownership of specific functional areas and ensure high standards of code quality and maintainability.
- Maintain and enhance test coverage across the platform.
- Engage in overall architectural discussions and contribute to decision-making processes.
- Keep a well-documented trail of activities, including source control, issue tracking, and documentation practices.
Qualifications
- A background in Computer Science with strong knowledge of data structures and algorithms.
- 5-10 years of experience in building backend applications using Java and single-page applications with React.
- Familiarity with web fundamentals and modern web standards.
- Proficient in modern React, including composition patterns, hooks, and complex state management (e.g., Redux, Mobx).
- Solid knowledge of web technologies (HTML, DOM, CSS), with experience in Tailwind being advantageous.
- Strong experience in the Java platform (additional certifications like JSCP or Oracle Certified Professional Java SE 11 are a plus).
- Experience with core Spring components (Security, Data/JPA, Web) and foundational JDBC.
- Ability to build durable, long-running processing pipelines, including task orchestration and scheduling.
- Skilled in application profiling and optimizations.
- Fluent in SQL, with experience in Big Data technologies (e.g., Spark, Flink, Kafka) being ideal.
- Experience in building processing pipelines using Temporal.io and working with column-oriented OLAP engines like Clickhouse.
- Familiarity with Docker, Kubernetes, and MLOps is a plus.
What We Look For
At Presight, we seek a performance-driven individual with an inquisitive mindset and the adaptability to thrive in ambiguous situations. You should be keen on building meaningful collaborations with stakeholders and committed to developing customer-centric solutions. A bias for action and enthusiasm to explore new frontiers in Big Data Analytics are essential traits we value.
What Working at Presight Offers
- Culture: An open, diverse, and inclusive work environment that encourages personal growth while focusing on pioneering innovations.
- Career: Exceptional learning, development, and growth opportunities through structured training programs and innovative projects.
- Rewards: A competitive remuneration package along with various perks, including healthcare, educational support, and leave benefits.
