Software Architect – Java Backend (Search & Personalization)

JOB SUMMARY:

We are seeking a skilled Software Architect specializing in eCommerce search and personalization capabilities to design, implement, and optimize scalable systems that enhance user experience. This role involves leading technical strategies, developing robust architectures, and collaborating with cross-functional teams to deliver intelligent search, personalized recommendations and other important functionalities. 

RESPONSIBILITIES:

• Architect and Design: Partner with product managers to understand business needs, develop high-level designs, and guide engineering teams to implement solutions effectively. 

• Strategic Leadership: Define the technical vision and roadmap aligned with business goals. 

• System Integration: Integrate enterprise systems, real-time data processing pipelines, and third-party tools into the eCommerce platform. 

• Performance Optimization: Enhance search relevance, recommendation algorithms, and overall system response times through continuous tuning and experimentation. 

• Governance: Establish coding standards, architecture best practices, and technical documentation. 

Education:

• Bachelor’s Degree in Computer Science or equivalent for the specific roles responsibilities

Mandatory Experience:

• Extensive experience with Java (Java 8+), Spring Framework and ORM frameworks. 

• Proficiency in Cloud Technologies, ElasticSearch, recommendation engines, and machine learning frameworks 

• Strong knowledge of database systems (SQL and NoSQL) and caching solutions. 

• Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, GCP). 

• Excellent problem-solving and critical-thinking skills. 

• Strong communication, mentoring and collaboration skills. 

• Experience with containerization and orchestration (Docker, Kubernetes). 

• Familiarity with messaging systems (e.g., Kafka, RabbitMQ). 

• Knowledge of application security, performance tuning, and DevSecOps practices. 

• Background in real-time data processing (e.g., Kafka, Spark) and data modeling. 

• Understanding of personalization strategies, A/B testing, MarTech/AdTech and user behavior analytics would be an added advantage. 

• Excellent leadership and negotiation skills with the ability to clearly propose and articulate architecture and technology decisions.