Solution Architect

Experience: 8+ years

We are seeking a highly skilled Architect to join our team, responsible for designing and delivering robust enterprise applications. The ideal candidate should possess a strong technical background, excellent problem-solving skills, and the ability to communicate effectively with stakeholders.

Job Responsibilities:

1. Enterprise Application Design
   • Extensive experience in designing scalable and high-performing enterprise applications.
   • Expertise in preparing High-Level Design (HLD) and Low-Level Design (LLD) documentation for pre-sales and implementation.
2. Technical Proficiency
   • Comfortable working with multiple programming languages, including Java, Python, and GoLang.
   • Strong debugging skills to identify and resolve critical issues.
3. Frontend and Mobile Development
   • Hands-on experience with frontend technologies like React and Angular.
   • Expertise in mobile app development and scaling for Android and iOS platforms.
4. Scalable Architecture
   • Expertise in designing scalable, efficient, and secure architectures for modern applications.
5. Performance Optimization
   • Proven ability to diagnose and resolve performance bottlenecks.
6. Data Engineering
   • Experience in designing data pipelines using tools like Apache Spark.
7. Stakeholder Communication
   • Collaborate effectively with stakeholders to gather requirements and present solutions.
8. GenAI Expertise
   • Hands-on experience with GenAI technologies, including various LLMs (e.g., Hugging Face, Anthropic).
9. Cloud Expertise
   • Proficiency with hyperscalers such as AWS and Azure, with a focus on secure, compliant deployments.
10. Security Compliance
    • Deep understanding of security standards and compliance frameworks such as SoC, FedRAMP, and HIPAA.
11. Database Expertise
    • Experience working with diverse databases, including Postgres, MongoDB, Cassandra, and Elasticsearch.
12. DevOps Tools
    • Familiarity with modern DevOps tools like Jenkins, GitHub Actions, Docker, and Kubernetes.

Qualifications:

• Bachelor’s/Master’s degree in Science, Engineering.
• Have learning attitude and ownership skills.