Software Development Engineer, AWS Kumo Health Experience

Amazon is hiring a Software Development Engineer, AWS Kumo Health Experience in Cape Town, South Africa. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, software engineering and machine learning.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build machine learning solutions and automated issue resolution systems to scale AWS internal IT support.

AWS

software-engineeringmachine-learningchatbotsdistributed-systems

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

Kumo is the software engineering organization that scales AWS's support capabilities. Amazon's mission is to be earth's most customer-centric company and this also applies when it comes to helping our own Amazon employees with their everyday IT Support needs. Our team is innovating for the Amazonian making the interaction with IT Support as smooth as possible. We achieve this through multiple mechanisms which eliminate root causes altogether automate issue resolution or point customers towards the optimal troubleshooting steps for their situation. We deliver the support solutions plus the end-user content with instructions to help them self-serve. We employ machine learning solutions on multiple ends to understand our customer's behavior predict customer's intent deliver personalized content and automate issue resolution through chatbots.

Amazon knows that a diverse inclusive culture empowers us all to deliver the best results for our customers. We celebrate diversity in our workforce and in the ways we work. As part of our inclusive culture we offer accommodations during the interview and onboarding process. If you'd like to discuss your accommodation options please contact your recruiter who will partner you with the Applicant-Candidate Accommodation Team (ACAT). You may also contact ACAT directly by emailing acat-africa@amazon.com. We want all Amazonians to have the best possible Day 1 experience. If you've already completed the interview process you can contact ACAT for accommodation support before you start to ensure all your needs are met Day 1.

Key job responsibilities
• In our team engineers have the opportunity to contribute to the complete vertical stack of an SOA based system which is horizontally connected to most systems in the larger Amazon ecosystem. Our SDEs use a variety of open source technologies native AWS services as well as services internal to AWS. We code mostly in Kotlin Java and JavaScript and build on technologies powering the web such as React Node and Elastic Search as well as a broad range of in-house Amazon Cloud technologies and native AWS technologies such as Route53 Lambda Fargate API gateway AppSync KMS AWS Connect Lex Kendra Redshift QuickSight and DynamoDB.
• Our team is growing and hiring software development engineers at all levels. Depending on the level you will demonstrate knowledge in the following disciplines at varying levels:
• Software Development · You recognize and adopt best practices in software development engineering: design testing version control documentation build deployment and operations. · You write high quality maintainable and robust code · You have a working knowledge of basic UI technologies frameworks and concepts including HTML 5 REST TypeScript AJAX CSS3 SOA Responsive design · You can define APIs and integrate them into usable interfaces · You understand how web applications work perform and scale. You are comfortable with troubleshooting and problem analysis Problem Solving · You solve problems at their root stepping back to understand the broader context. · You develop pragmatic solutions. You build flexible/scalable systems without over-engineering and choose simple straightforward solutions over more complex ones. Where existing solutions are known you use them. · You understand data structures and algorithms and know how when and when not to use them. · You anticipate and prevent future problems from occurring

About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 2+ years of non-internship professional software development experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Understanding or experience with web based technologies: NodeJS, Java, Kotlin, HTTP, HTML 5, REST, JavaScript, TypeScript, JSON, AJAX, Webservers, React, CSS

Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

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.

How we rate this

Software Development Engineer, AWS Kumo Health Experience at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer, AWS Kumo Health Experience is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in ZA, Cape Town.
The job was posted on May 29, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringMachine learningChatbotsDistributed SystemsAWS

Also common in software engineer jobs at this level

Python LLM Kubernetes AI agents C++Google Cloud

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where chatbots was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Machine learning, Chatbots, Distributed Systems, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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