What are the responsibilities and job description for the Principal Engineer, Amazon Connect Analytics position at myGwork - LGBTQ Business Community?
This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly.
Description
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences.As a Principle Engineer in Amazon Connect Analytics, you would define a technical strategy and roadmap spanning multiple teams to evolve Analytics towards the Agentic future. You will influence senior management to take goals and investments to achieve that strategy and drive a team of 60 engineers to architect and deliver on that strategy for the next 2-3 years.
Key job responsibilities
As a Principal Engineer in Connect Analytics, you would be responsible for driving north star technical direction and provide technical leadership across 20 projects in the Analytics space. Specifically, you would be guiding delivery and Operational excellence for a team of 60 engineers across 6 different 2 pizza teams and 12 services within the Analytics org which are leveraged for providing standardized out of the box experiences to more than 10,000 Connect customers using them daily to Operate their Contact Center business at scale. For context, Analytics services and customer experiences (Public APIs, dashboards and zero eTL datalake) enables faster adoption of core Connect offerings (Omnichannel and routing capabilities) as well as enable approximately 35MM ARR in additional paid offerings (Contact Lens, Agent Evaluation, Agent Scheduling and Forecasting) through out of the box Analytics capabilities. Moreover, you would be leading the charge for transforming Analytics experiences to be "GenAI first" , and own the futuristic architecture that supports large scale MCP and AI tooling capabilities across heterogenous data patterns , leading through a team or Senior engineers.
While doing that, you will specifically integrate Analytics platforms with AI/ML systems, GenAI capabilities, Rules and Task Management and Agent Orchestration and Observability platforms to evolve Analytics from being a table stakes offering to a value generator for Connect.
A day in the life
This role will be working together with 15 teams spanning across Connect on Analytics related use cases and closely partnering with other AI&O PEs to architect technical solutions that enables standard patterns and experiences solving towards the Self Service Contact Center vision across multiple use cases.
In the next 2-3 years, apart from being a technical bar raiser on architecture and design across all our key initiatives and operational excellence, this role will work across other PEs in Connect and specifically focus on 1) Driving technical strategy for Generative AI experiences leveraging and integrating with existing platforms , to solve for Analytics specific use cases 2) Driving Data Strategy for Connect as the overarching Technical Lead across teams inside and outside of Analytics org for integrating data from AI/ML, Gen AI, Rules and self service capabilities and 3) Evolving Connect zero eTL DataLake to be a managed service that serves as the backbone for Analytics Knowledge systems for historical context.
About The Team
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award-winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience.
Basic Qualifications
12 years of professional software development experience
7 years of programming experience with at least one software programming language
5 years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
Experience as a mentor, tech lead OR leading an engineering team
Preferred Qualifications
Ability to take raw product requirements and develop software architectures and designs to bring them to life
Analytical abilities, proven design skills and a track record of delivery
Experience leveraging object oriented design practices in Java or C or .Net
Experience building complex software systems that have been successfully delivered to customers
Experience with big data and analytics fundamentals and technology
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
Experience in driving systemic operational improvements
Experience mentoring software engineers to improve their skills, and make them more effective, product software engineers
Experience influencing software engineers best practices across teams.
Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, technical designs, and product strategy
Master's degree in computer science or related technical discipline, or equivalent experience
Experience with or knowledge of AWS services
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, WA, Seattle - 144,100.00 - 194,900.00 USD annually]]>
Description
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences.As a Principle Engineer in Amazon Connect Analytics, you would define a technical strategy and roadmap spanning multiple teams to evolve Analytics towards the Agentic future. You will influence senior management to take goals and investments to achieve that strategy and drive a team of 60 engineers to architect and deliver on that strategy for the next 2-3 years.
Key job responsibilities
As a Principal Engineer in Connect Analytics, you would be responsible for driving north star technical direction and provide technical leadership across 20 projects in the Analytics space. Specifically, you would be guiding delivery and Operational excellence for a team of 60 engineers across 6 different 2 pizza teams and 12 services within the Analytics org which are leveraged for providing standardized out of the box experiences to more than 10,000 Connect customers using them daily to Operate their Contact Center business at scale. For context, Analytics services and customer experiences (Public APIs, dashboards and zero eTL datalake) enables faster adoption of core Connect offerings (Omnichannel and routing capabilities) as well as enable approximately 35MM ARR in additional paid offerings (Contact Lens, Agent Evaluation, Agent Scheduling and Forecasting) through out of the box Analytics capabilities. Moreover, you would be leading the charge for transforming Analytics experiences to be "GenAI first" , and own the futuristic architecture that supports large scale MCP and AI tooling capabilities across heterogenous data patterns , leading through a team or Senior engineers.
While doing that, you will specifically integrate Analytics platforms with AI/ML systems, GenAI capabilities, Rules and Task Management and Agent Orchestration and Observability platforms to evolve Analytics from being a table stakes offering to a value generator for Connect.
A day in the life
This role will be working together with 15 teams spanning across Connect on Analytics related use cases and closely partnering with other AI&O PEs to architect technical solutions that enables standard patterns and experiences solving towards the Self Service Contact Center vision across multiple use cases.
In the next 2-3 years, apart from being a technical bar raiser on architecture and design across all our key initiatives and operational excellence, this role will work across other PEs in Connect and specifically focus on 1) Driving technical strategy for Generative AI experiences leveraging and integrating with existing platforms , to solve for Analytics specific use cases 2) Driving Data Strategy for Connect as the overarching Technical Lead across teams inside and outside of Analytics org for integrating data from AI/ML, Gen AI, Rules and self service capabilities and 3) Evolving Connect zero eTL DataLake to be a managed service that serves as the backbone for Analytics Knowledge systems for historical context.
About The Team
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award-winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience.
Basic Qualifications
12 years of professional software development experience
7 years of programming experience with at least one software programming language
5 years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
Experience as a mentor, tech lead OR leading an engineering team
Preferred Qualifications
Ability to take raw product requirements and develop software architectures and designs to bring them to life
Analytical abilities, proven design skills and a track record of delivery
Experience leveraging object oriented design practices in Java or C or .Net
Experience building complex software systems that have been successfully delivered to customers
Experience with big data and analytics fundamentals and technology
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
Experience in driving systemic operational improvements
Experience mentoring software engineers to improve their skills, and make them more effective, product software engineers
Experience influencing software engineers best practices across teams.
Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, technical designs, and product strategy
Master's degree in computer science or related technical discipline, or equivalent experience
Experience with or knowledge of AWS services
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, WA, Seattle - 144,100.00 - 194,900.00 USD annually]]>
Salary : $144,100 - $194,900