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The Senior Solutions Engineer leads the solutions engineer team, providing technical expertise and support to sales and implementation teams. Responsibilities include gathering business requirements, preparing technical proposals, and consulting customers on best practices and customization. The role focuses on ensuring the team's technical proficiency and delivering effective solutions to meet customer needs.

As a DevOps Engineer at Amity, you'll ensure smooth operations and growth capacity of our cloud-native application. You'll collaborate in a team, manage infrastructure with tools like Terraform and Kubernetes, lead capacity planning, debug issues, and improve deployment processes, while providing support to product engineers.

As a Fullstack Engineer at Amity Solutions, you will work with UX designers and business teams to create onboarding portals, develop applications using APIs and SDKs, assist in deployment, and provide feedback on product improvements. Your role emphasizes collaboration, research, and technical design to meet customer needs effectively.

As a Quality Assurance Engineer, you will ensure project quality by creating and executing test cases, documenting errors, and collaborating closely with the development team. You'll be responsible for maintaining quality assurance standards and testing projects associated with Amity's offerings, including chatbots and video apps.

The Senior Data Engineer will lead data engineering projects, design data pipelines, ensure data quality, and collaborate with analytics teams. Responsibilities include mentoring junior engineers and driving data-driven decision-making within the organization.

The Business Analyst will enhance Chatbot projects by simplifying business requirements for stakeholder buy-in, collaborate with project managers and development teams, conduct customer requirement interviews, and create essential documentation such as business requirement documents and test cases.

As a Senior Data Analyst at Amity Solutions, you will work with clients and internal teams to design and refine AI assistant prompts, ensuring data compatibility for large language models (LLMs). Your role includes analyzing client requirements, cleaning and wrangling data, and fostering innovative solutions. You will collaborate within an agile framework, focusing on architectural design and research rather than coding alone.