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- Tasks: Manage on-call duties, troubleshoot system failures, and enhance application performance.
- Company: Join a forward-thinking tech company focused on data platforms.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Be at the forefront of technology, ensuring systems run smoothly and efficiently.
- Qualifications: Experience in coding with Python or Go and a knack for problem-solving.
- Other info: Fast-paced environment with plenty of room for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Own production on-call responsibilities including incident response, mitigation, and post-mortem analysis.
Troubleshoot complex system failures across distributed Linux/Unix environments.
Design, deploy, and operate containerized applications in production infrastructure.
Build and maintain highly available, scalable distributed services.
Write, test, and release production-quality code in Python, Go, or similar languages.
Improve observability using monitoring, logging, and alerting practices.
Automate operational workflows to reduce manual intervention and MTTR.
Collaborate with engineering teams to improve reliability, performance, and release readiness.
Perform capacity planning, performance tuning, and resilience testing.
Drive continuous improvements in reliability, operational excellence, and system stability.
SRE – Data Platforms employer: VeeAR Projects Inc.
Contact Detail:
VeeAR Projects Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SRE – Data Platforms
✨Tip Number 1
Get familiar with the tech stack mentioned in the job description. Brush up on your Python and Go skills, and make sure you can talk about your experience with containerized applications. We want to see that you can hit the ground running!
✨Tip Number 2
Prepare for technical interviews by practising troubleshooting scenarios. Think about how you would handle system failures or improve observability. We love candidates who can demonstrate their problem-solving skills under pressure!
✨Tip Number 3
Show us your collaborative side! Be ready to discuss how you've worked with engineering teams in the past to enhance reliability and performance. We value teamwork, so share those experiences that highlight your ability to work well with others.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to drive continuous improvements in our systems.
We think you need these skills to ace SRE – Data Platforms
Some tips for your application 🫡
Show Your Technical Skills: When writing your application, make sure to highlight your experience with Python, Go, or similar languages. We want to see how you've tackled complex system failures and what tools you've used to improve observability in your past roles.
Be Specific About Your Experience: Don't just list your responsibilities; share specific examples of how you've designed, deployed, and operated containerized applications. We love seeing real-world applications of your skills, so let us know how you’ve built and maintained scalable distributed services.
Emphasise Collaboration: Collaboration is key for us at StudySmarter. Make sure to mention any experiences where you've worked with engineering teams to enhance reliability and performance. We’re looking for team players who can drive continuous improvements together!
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t be afraid to let your personality shine through. Share your passion for operational excellence and system stability, and why you’re excited about the opportunity to join our team. Remember to apply through our website!
How to prepare for a job interview at VeeAR Projects Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Go. Brush up on your knowledge of distributed systems and container orchestration tools like Docker and Kubernetes, as these will likely come up during technical discussions.
✨Prepare for Incident Scenarios
Since the role involves incident response and post-mortem analysis, be ready to discuss past incidents you've handled. Think about how you approached troubleshooting, what tools you used, and how you communicated with your team during the process.
✨Showcase Your Automation Skills
Highlight any experience you have with automating operational workflows. Be prepared to share specific examples of how you’ve reduced manual intervention and improved MTTR in previous roles. This will demonstrate your proactive approach to operational excellence.
✨Collaborate and Communicate
Emphasise your ability to work with engineering teams. Prepare examples of how you’ve collaborated on projects to improve system reliability and performance. Good communication skills are key, so practice articulating your thoughts clearly and concisely.