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- Tasks: Deploy and monitor AWS services while ensuring high availability and security.
- Company: Join a dynamic team in London, focused on cutting-edge cloud infrastructure.
- Benefits: Enjoy hybrid work options and the chance to work with innovative technologies.
- Why this job: Be part of a culture that values problem-solving and continuous improvement.
- Qualifications: Experience with AWS, DevOps practices, and observability tools is essential.
- Other info: SC clearance is required or eligibility for it.
The predicted salary is between 48000 - 72000 £ per year.
AWS DevOps Engineer Senior Site Reliability Engineer - Infrastructure Contract - Inside IR35 - Fulltime Location: London - Hybrid (3 days per week onsite) SC Cleared or Eligible for SC Clearance
Your responsibilities:
- Deploy, configure, and monitor AWS services ensuring high availability, scalability, and security.
- Respond to and resolve infrastructure and service incidents with root cause analysis and preventive measures.
- Handle change requests, track recurring issues, and work on long-term fixes to improve system stability.
- Implement and maintain observability solutions using Prometheus, Grafana, and Splunk.
- Write PromQL queries for custom monitoring dashboards, alerting, and diagnostics.
- Manage and optimize CI/CD pipelines for automated testing, deployment, and rollback strategies.
- Develop and maintain automation scripts in Python, Bash, Go, or SQL for routine infrastructure tasks.
- Utilize Git-based workflows for infrastructure changes, version control, and automated deployments.
- Operate, troubleshoot, and optimize Kubernetes clusters and containerized workloads.
- Participate in a rotating on-call schedule to ensure 24/7 availability of production systems.
Essential skills:
- Working knowledge and prior hands-on experience using AWS services at the DevOps Engineer level.
- Incident, change & problem management experience. This role is heavily operation-oriented, including on-call requirements.
- Strong background in setup & operation of enterprise observability tooling, specifically Prometheus, Grafana and Splunk, including usage of PromQL.
- Proficient in one or more languages of Python, Go, Bash, SQL.
- Familiar with GitHub / GitOps / container orchestration / Kubernetes operations.
- Working configuration and deployment management experience with CI/CD.
Desirable skills:
- Hands-on experience with Terraform or CloudFormation for infrastructure provisioning and automation.
- Strong knowledge of Splunk for log analysis and troubleshooting.
- Strong problem-solving skills and analytical thinking.
DevOps Engineer - AWS employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer - AWS
✨Tip Number 1
Familiarise yourself with AWS services and their specific applications in a DevOps context. Understanding how to deploy, configure, and monitor these services will give you a solid foundation for the role.
✨Tip Number 2
Gain hands-on experience with observability tools like Prometheus, Grafana, and Splunk. Being able to demonstrate your ability to implement and maintain these solutions will set you apart from other candidates.
✨Tip Number 3
Brush up on your scripting skills, particularly in Python, Bash, or Go. Having practical examples of automation scripts you've developed can showcase your technical abilities during discussions.
✨Tip Number 4
Understand CI/CD pipelines and be prepared to discuss your experience with them. Highlighting your knowledge of automated testing, deployment, and rollback strategies will demonstrate your operational expertise.
We think you need these skills to ace DevOps Engineer - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with AWS services, DevOps practices, and any specific tools mentioned in the job description, such as Prometheus, Grafana, and Splunk. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are a great fit for the role. Mention your hands-on experience with incident management, CI/CD pipelines, and automation scripts. Be sure to express your enthusiasm for working in a hybrid environment and your readiness for on-call responsibilities.
Showcase Your Technical Skills: Include specific examples of projects where you've deployed AWS services or managed Kubernetes clusters. Highlight your proficiency in programming languages like Python or Go, and discuss how you've used Git-based workflows in past roles.
Proofread and Format: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your CV and cover letter are well-formatted and easy to read, making it simple for recruiters to find the information they need.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your AWS Expertise
Make sure to highlight your hands-on experience with AWS services during the interview. Be prepared to discuss specific projects where you deployed, configured, and monitored AWS services, focusing on how you ensured high availability and security.
✨Demonstrate Incident Management Skills
Since the role involves incident management, be ready to share examples of how you've responded to and resolved infrastructure incidents. Discuss your approach to root cause analysis and any preventive measures you've implemented to improve system stability.
✨Familiarise Yourself with Observability Tools
The job requires knowledge of observability solutions like Prometheus, Grafana, and Splunk. Brush up on these tools and be prepared to explain how you've used them in past roles, especially in writing PromQL queries for monitoring dashboards.
✨Prepare for Technical Questions on CI/CD and Automation
Expect technical questions regarding CI/CD pipelines and automation scripts. Be ready to discuss your experience with Git-based workflows, as well as any languages you've used for scripting, such as Python or Bash, and how they relate to routine infrastructure tasks.
