Lead Application Architect- Remote

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

Job Title: Lead Application Architect

Location: Remote

Duration: 6 months c2h

Qualifications & Experience:

• 15+ years of Application Software Development Experience.
• 8+ years solutions architecture, design, system integration, implementation, and deployment in cloud technologies.
• 10 years' experience of SQL and ERD with relational databases.
• 8 years implementing API services REST SOAP, and GraphQL.
• 5 years' experience developing solutions with NoSQL datastores.
• 5 years' experience implementing data analytics, AI/ML/NLP, and predictive models.
• Demonstrated experience in real world cloud-based, distributed, data driven applications.
• Experience implementing a microservices architecture.
• Experience developing software using OOD & OOP best practices.
• Experience with containerization technologies including (i.e., Docker, Kubernetes, AWS: EKS, ECS, Fargate).
• Strong understanding of security best practices and compliance.
• Possess the AWS Solutions Architect certification.
• Recent relevant experience implementing and deploying enterprise scale applications in AWS.
• Well versed in Agile methodologies.
• Strong communication skills to engage effectively with senior business, leadership, and clients where applicable.
• Bachelor's degree from a four-year college or university in Computer Science, Software Engineering, or a related field.
• Possess knowledge and experience in system Security and Identity integrations with SAML, Okta, etc
• Demonstrate knowledge in handling distributed data systems, e.g., Elastisearch, MongoDB, Spark, Hadoop.
• Solid understanding of data integration, data modeling, data migration and data transformation pipelines or processes.
• Ability to gather and build subject matter expertise via existing SMEs, research & exploration, code analysis & debugging, etc.
• Ability to incorporate feedback from domain experts, make well-reasoned recommendations, and effectively communicate recommendations to stakeholders.