At a Glance
- Tasks: Design and operate reliable data platforms while enhancing observability and monitoring.
- Company: Leading technology firm focused on innovation and cloud solutions.
- Benefits: Comprehensive health coverage, flexible work patterns, and professional development opportunities.
- Why this job: Join a dynamic team to shape the future of data infrastructure and make a real impact.
- Qualifications: Expertise in DataOps, DevOps, AWS, and observability tooling required.
- Other info: Exciting hybrid role with opportunities for growth in a tech-driven environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm is looking for a Senior DataOps / DevOps Engineer to design, build, and operate the reliability layer for data platforms. This hybrid role involves improving observability, monitoring, and operational resilience of cloud native infrastructure and data pipelines.
Candidates should have expertise in DataOps, DevOps, and AWS, along with proven skills in observability tooling.
Benefits include comprehensive health coverage, flexible work patterns, and ongoing professional development.
Hybrid Senior DataOps Engineer (AWS & Observability) employer: Sage
Contact Detail:
Sage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior DataOps Engineer (AWS & Observability)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in DataOps or DevOps roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS, observability, and data pipelines. This gives potential employers a tangible look at what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common DataOps and DevOps scenarios. Think about how you've tackled challenges in the past and be ready to share those stories with us!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Hybrid Senior DataOps Engineer (AWS & Observability)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DataOps, DevOps, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about observability and operational resilience. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in cloud native infrastructure or data pipelines. We’re looking for those who can think on their feet and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Sage
✨Know Your Tech Stack
Make sure you’re well-versed in AWS and the specific observability tools mentioned in the job description. Brush up on your DataOps and DevOps principles, as you'll likely be asked to demonstrate your understanding of how these concepts apply to cloud-native infrastructure.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you improved operational resilience or monitoring. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your contributions made a tangible impact on data platforms.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current data infrastructure and their approach to observability. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
✨Demonstrate Continuous Learning
With ongoing professional development being a key benefit, share examples of how you stay updated with industry trends and technologies. Mention any relevant certifications or courses you've completed, especially those related to AWS or DataOps.