AWS Connect Engineer (Digital Channel)

at  Quantiphi

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Us:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

• Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
• Headquartered in Boston, with 3200+ data science professionals across 11 global offices
• Winner of 3X NVIDIA AI Partner of the year award
• Winner of the 13X Google Cloud Partner of the Year award including “Machine Learning, Breakthrough and Social Impact partner
• Winner of 3X AWS AI/ML Partner of the Year award
• Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
• Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
• Winner of Best in Business Award in Established Business category by INC., 2022
• Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan
• Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
• Winner of AI Excellence Award 2022 and 2023 including ‘Generative AI product’ category for Baioniq, Quantiphi’s generative AI platform

For more details, visit: our
Website
or our
LinkedIn Page
Experience Level: 8 - 10 years +
Work Location: Canada
Job Title: AWS Connect Engineer ( Digital Channel)

Responsibilities:

• Demonstrate expertise in managing AWS Connect digital customer interaction channels such as voice, chat, email, and social media.
• Optimize and enhance customer interaction workflows to elevate customer experience and operational efficiency.
• Develop real-time processing solutions for immediate customer engagements.
• Design and implement post-contact workflows for follow-up actions, data processing, and detailed reporting.
• Lead the design and implementation of workflow integrations using AWS Lambda.
• Manage backend integrations with various applications and databases, ensuring seamless operations in both real-time and post-contact scenarios.
• Utilize AWS services (Lambda, API Gateway, DynamoDB, S3, RDS) to build scalable, efficient solutions for customer interaction channels.
• Implement and manage microservices architecture using RESTful APIs, Webhooks, and event-driven frameworks.
• Ensure seamless integration with SQL and NoSQL databases, prioritizing data consistency, performance, and scalability.
• Leverage AWS services (RDS, SQL, PostGres, NoSQL, DynamoDB, AWS Glue, AWS Textract) to optimize data storage, retrieval, and processing workflows.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
• AWS Certifications:
• AWS Certified Solutions Architect – Associate or Professional.
• AWS Certified Developer – Associate.
• Expertise in scripting languages such as Python or JavaScript for automation and integration tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Splunk, ELK Stack) to maintain integration health and performance.
• Knowledge of DevOps practices and tools to support continuous integration and deployment (CI/CD) for workflow integrations.
• Understanding of security best practices to ensure data protection and compliance within customer interaction workflows.

Preferred Qualifications:

• Strong verbal and written communication skills, capable of conveying technical concepts to both technical and non-technical audiences.
• Proven ability to work effectively in cross-functional teams, fostering collaboration and achieving consensus.
• Experience in mentoring and guiding junior team members, with a demonstrated ability to lead by example.
• Meticulous attention to detail, particularly in developing scenarios that support test cases.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!

• Demonstrate expertise in managing AWS Connect digital customer interaction channels such as voice, chat, email, and social media.
• Optimize and enhance customer interaction workflows to elevate customer experience and operational efficiency.
• Develop real-time processing solutions for immediate customer engagements.
• Design and implement post-contact workflows for follow-up actions, data processing, and detailed reporting.
• Lead the design and implementation of workflow integrations using AWS Lambda.
• Manage backend integrations with various applications and databases, ensuring seamless operations in both real-time and post-contact scenarios.
• Utilize AWS services (Lambda, API Gateway, DynamoDB, S3, RDS) to build scalable, efficient solutions for customer interaction channels.
• Implement and manage microservices architecture using RESTful APIs, Webhooks, and event-driven frameworks.
• Ensure seamless integration with SQL and NoSQL databases, prioritizing data consistency, performance, and scalability.
• Leverage AWS services (RDS, SQL, PostGres, NoSQL, DynamoDB, AWS Glue, AWS Textract) to optimize data storage, retrieval, and processing workflows