About the position
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you interested in being part of a team of software engineers tasked with building a new AWS service that intersect cloud computing, Big Data, machine learning, AWS Personalize and customer engagement? Do you enjoy the challenge of building and managing innovative services? Do you want to make an impact at a global scale? Then you should join our team! Customer Engagement is a growth agent for companies that look to invest in communicating and engaging with their end customers, understanding their behaviors and unique interactions, and learning how to engage at the right precise moment with the right customer experience. Behind each of these interactions are unique moments that create an opportunity to learn and understand more about who they are and what they want. AWS Customer Engagement services (Amazon Connect, Amazon Pinpoint, Amazon SES) power over 20 billion customer interactions per day across multiple channels and use cases. We seek to create the most customer centric experiences with highly reliable, scalable, and secure engagement services that build customer knowledge, trust, and drive growth.
Responsibilities
- You are creative, responsible, and able to dive deep into emerging serverless AWS technologies.
- You will think about business opportunities, operational issues, architectural diagrams, scalability, security, and the customer perspective in the course of a single conversation.
- You have a solid understanding of programming languages, distributed microservices, serverless computing, and performance engineering.
- Excited to learn from others while bringing your own novel capabilities and perspectives.
- Proficient with debugging, profiling, and analysis tools used to support software applications.
- Participate in bi-weekly sprint planning.
- Attend daily standups with the team.
- Attend weekly operational meeting, lunch n' learns, and career coaching 1 on 1's with your manager.
- Communicate weekly on project statuses.
- Schedule and participate in project meetings and reviews with UX, PM, and Engineering stakeholders.
- Contribute feature code and conduct code reviews for your teammates.
- Attend weekly team events to connect and build strong working relationships.
Requirements
- 4+ years of non-internship professional software development experience.
- 4+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
- Experience programming with at least one software programming language.
Nice-to-haves
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bonus: if you worked on ML models before.
Benefits
- Flexible work hours and arrangements.
- Ongoing events and learning experiences.
- Mentorship and career-advancing resources.
