About us
ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies. Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
Job Description
We are looking for a Senior Java Developer to enhance a scientific application used by chemists and researchers to manage high-throughput chemistry experiments. The role focuses on extending the platform with support for multi-step peptide synthesis workflows, enabling advanced experimental tracking, workflow management, and data processing capabilities.
Responsibilities:
- Design and develop new features supporting multi-step peptide synthesis workflows.
- Enhance existing functionality for capturing reaction conditions, intermediate steps, and experimental outcomes.
- Collaborate with scientists and researchers to translate scientific workflows into scalable technical solutions.
- Build and optimize backend services and RESTful APIs for data processing and system integrations.
- Ensure data integrity, traceability, and auditability of experimental records.
- Integrate new functionality with existing systems and databases.
- Write clean, maintainable, and well-documented code following development best practices.
- Perform testing, debugging, and performance optimization activities.
- Participate in code reviews and version control processes using GitHub.
- Support deployment and maintenance activities in cloud environments.
Required qualifications
- Strong proficiency in Java.
- Hands-on experience with Spring Framework and Spring Boot.
- Experience developing and integrating REST APIs.
- Strong knowledge of Oracle Database and SQL.
- Experience with backend architecture and microservices design.
- Familiarity with AWS cloud environments.
- Experience with containerization tools such as Docker.
- Proficiency with GitHub and version control workflows.
- Experience working with complex data models and business workflows.
- Strong analytical and problem-solving skills.
Nice to Have:
- Experience with scientific, laboratory, or research-related applications.
- Understanding of chemistry or peptide synthesis workflows.
- Experience with high-throughput data processing systems.
- Familiarity with regulated or data-sensitive environments.
