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- Tasks: Join our Messaging and Streaming Team to solve complex problems and improve service support.
- Company: Amazon Web Services (AWS) is the leading cloud platform, known for innovation and reliability.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture of inclusion.
- Why this job: Be part of a dynamic team that drives change and optimises operations in cloud services.
- Qualifications: Experience with scripting, Linux, and networking fundamentals is essential; cloud knowledge is a plus.
- Other info: Diverse experiences are valued; all backgrounds encouraged to apply.
The predicted salary is between 48000 - 72000 £ per year.
System Engineer, Messaging and Streaming Team
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System Engineer, Messaging and Streaming Team
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Description
The region service Messaging and Streaming Team (MAST) is a customer experience-oriented team who is looking for a self-motivated talented engineer who can solve complex problems and have a vision to improvise the service support. MAST builds and supports Messaging and Streaming services such as Kinesis Data Streams, Simple Queue Service (SQS), Simple Notification Service (SNS), Amazon MQ, and Amazon Managed service for Apache Flink (MSF).
Description
The region service Messaging and Streaming Team (MAST) is a customer experience-oriented team who is looking for a self-motivated talented engineer who can solve complex problems and have a vision to improvise the service support. MAST builds and supports Messaging and Streaming services such as Kinesis Data Streams, Simple Queue Service (SQS), Simple Notification Service (SNS), Amazon MQ, and Amazon Managed service for Apache Flink (MSF).
We are looking for a technical expert who brings a mix of operations and networking expertise and shares our passion to change the way our customers operate. A systems engineer will be creating and driving opportunities to automate and simplify the daily operations and scales the organisational operations.
Key job responsibilities
- Work proactively to solve potential problems and inefficiencies. Communicate clearly and collaborate with others to deliver results with minimal supervision.
- Participating in 24/7 on-call rotation to troubleshoot high severity issues
- Analysing dashboards and investigating metrics with the vision for improvements
- Create and maintain Standard Operating Procedures (SOPs) and runbooks for documentation
- Discuss radical new approaches to automate operational issues, assess risks and develop creative solutions.
- Develop strategies for resolving identified problems to prevent future occurrences
- Assist others in the team
About The Team
The team has the unique perspective of operating all of the messaging and streaming services, instead of the software components. This enables our team to drive cross organization initiatives to remove operational hurdles, optimize software delivery, and remove bottlenecks felt by all of AWS.
Upon joining the MAST Engineering team, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we’re building, the tools we use and the business problems we’re trying to solve.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
About AWS
Diverse Experiences
AWS 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.
Why AWS?
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.
Inclusive Team Culture
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 (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic Qualifications
- Experience writing scripts from scratch for automating manual tasks (BASH, Python, Perl, Ruby or similar)
- Solid background in Linux. Familiarity with in depth troubleshooting and ability to solve complex technical problems
- Knowledge of network fundamentals (DNS, UDP, TCP/IP, HTTP (s), routing, switching)
- Experience owning services that are secure, scalable, reliable and efficient. Can identify multiple operational and security risks and then resolve, mitigate and/or escalate them
Preferred Qualifications
- Bachelor’s Degree in Systems Engineering, Computer Science or related field, or relevant work experience
- Exposure to cloud computing concepts and design considerations
- Experience in a 24×7 production environment
- Experience of monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
Company – AWS EMEA SARL (UK Branch)
Job ID: A3017947
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Quality Assurance, Information Technology, and Engineering
-
Industries
IT Services and IT Consulting
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System Engineer, Messaging and Streaming Team employer: Amazon Web Services (AWS)
Contact Detail:
Amazon Web Services (AWS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Engineer, Messaging and Streaming Team
✨Tip Number 1
Familiarise yourself with AWS services, especially Kinesis Data Streams, SQS, and SNS. Understanding these technologies will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the AWS community through forums or local meetups. Networking with current employees or other professionals can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your problem-solving skills in detail. Think of specific examples where you've automated processes or improved operational efficiency, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Showcase your ability to work in a team and communicate effectively. Since collaboration is key in this role, be ready to share experiences where you successfully worked with others to achieve a common goal.
We think you need these skills to ace System Engineer, Messaging and Streaming Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in systems engineering, particularly with messaging and streaming services. Include specific examples of projects where you've automated tasks or improved operational efficiency.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud computing and how your skills align with the role. Mention your experience with scripting languages and any familiarity with AWS services to demonstrate your fit for the team.
Showcase Problem-Solving Skills: Provide examples in your application that showcase your ability to solve complex technical problems. Highlight any experience you have with troubleshooting in a 24/7 production environment, as this is crucial for the role.
Highlight Team Collaboration: Since the role involves collaboration, mention any past experiences where you worked effectively within a team. Emphasise your communication skills and how you contributed to achieving team goals.
How to prepare for a job interview at Amazon Web Services (AWS)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with scripting languages like BASH or Python, as well as your background in Linux. Highlight specific examples where you've automated tasks or solved complex technical problems.
✨Understand the Services
Familiarise yourself with AWS's Messaging and Streaming services such as Kinesis Data Streams and SQS. Being able to discuss these services and their applications will demonstrate your genuine interest and knowledge about the role.
✨Emphasise Problem-Solving Abilities
Prepare to share examples of how you've proactively identified and resolved operational issues in previous roles. This aligns with the team's focus on improving service support and automating operations.
✨Communicate Clearly
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain your ideas on automating operational issues and how you would assess risks in a team setting.
