Fullstack Lead Engineer ( Solution Architect)

Roles And Responsibilities

• Contributing to designing cloud architectures and integration modules for enterprise-level systems. 
• Managing and mentoring the technical team and ensuring quality delivery of solutions as per the process 
• Lead engagements with partners and customers, including stakeholder management, requirements gathering, and designing solutions along with development and delivery. 
• Collaborate with Program Management, Engineering, User Experience, and Product teams to identify gaps and work with cross-functional teams to design solutions. 
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Essential Skills

• Experience developing and managing scalable, high-performance production systems. 
• Some experience working in Artificial Intelligence (AI) or RPA 
• Developing, designing, and maintaining high-quality production applications written in NodeJS or Python, data structures, ML algorithms, and software design. 
• Experience with complex API integrations and application development modules. 
• Strong skills in designing database schema; both SQL and NoSQL databases. 
• Experience with any cloud technologies like GCP/AWS/Azure leveraging serverless architectures and technologies like Cloud functions, AWS Lambda, Google Dataflow, Google Pub/Sub etc 
• Design, build, manage and operate the continuous delivery framework and tools, and act as a subject matter expert on CI/CD for developer teams. 
• Fullstack development background with experience on Front-end – Angular / jQuery or any JS frameworks 
• Should possess strong problem-solving ability. 
• The ability or potential to multitask, and prioritize. 
• Experience in Test Driven Development & Agile methodologies. 
• Good communication skills. 
• Experience using tools like Git and Jira. Confluence is a plus. 
• A team player who can collaborate with all stakeholders with strong interpersonal skills. 
• Self-starter with a drive to technically mentor your cohort of developers 
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Good To Have

• Experience in designing reusable and scalable architecture for cloud applications 
• Experience in managing the design and production implementation of chat and voice bots 
• Exposure to developing, maintaining, and monitoring microservices 
• Experience in one or more: chat/voice bot development, machine learning, Natural Language Processing (NLP), and contact center technologies. 
• Application Security