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- Tasks: Join us as a Cloud DevOps Engineer to streamline AI application deployment and infrastructure automation.
- Company: Synechron is a leading financial services consulting firm focused on innovation and technology.
- Benefits: Enjoy flexible workplace arrangements, competitive rates, and opportunities for learning and development.
- Why this job: Be part of a multi-year AI project with a collaborative culture that values diversity and inclusion.
- Qualifications: Experience with CI/CD, Infrastructure as Code, Docker, Kubernetes, and Azure is essential.
- Other info: This role is based in London with a hybrid work model (3 days in office).
The predicted salary is between 48000 - 72000 £ per year.
Synechron is looking for a Senior DevOps Engineer to join their Cloud and AI Practice to work on a multi-year, AI programme of work within a leading financial institution. The role requires an experienced DevOps Engineer to support the development, deployment, and monitoring of AI applications. The role focuses on streamlining infrastructure automation, ensuring seamless CI/CD integration, and creating scalable, secure environments. You will work across backend services and UI components to enable efficient AI workflows and robust application performance.
Key Responsibilities:
- Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools like Terraform or ARM templates
- Design, implement, and maintain CI/CD pipelines to support continuous integration and deployment, primarily using GitLab
- Containerise applications and orchestrate deployments using Docker and Kubernetes
- Manage cloud infrastructure on Azure, ensuring high availability, scalability, and security
- Set up and maintain monitoring, logging, and alerting solutions using tools such as Prometheus and Grafana
- Collaborate with development teams to optimize AI application deployment and operational performance
- Ensure compliance with security standards and best practices in cloud and infrastructure management
Qualifications & Skills:
- Proven experience with CI/CD pipeline setup and maintenance (GitLab, Jenkins, etc.)
- Strong understanding of Infrastructure as Code using Terraform, ARM templates, or similar tools
- Hands-on experience with containerisation and orchestration technologies such as Docker and Kubernetes
- In-depth knowledge of cloud platforms, especially Azure
- Experience with monitoring and logging tools like Prometheus and Grafana
- Familiarity with supporting AI/ML workloads is preferred
- Strong problem-solving skills and ability to work collaboratively in a fast-paced environment
Multi-Year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office) - FTE or Contract
Cloud DevOps Engineer (Contract) employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud DevOps Engineer (Contract)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Terraform for Infrastructure as Code and GitLab for CI/CD. Having hands-on experience or even personal projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with cloud platforms, particularly Azure, during any networking opportunities or interviews. Being able to discuss specific projects where you've managed cloud infrastructure will demonstrate your capability and relevance to the role.
✨Tip Number 3
Engage with communities or forums related to DevOps and AI applications. Networking with professionals in these areas can provide insights into industry trends and may lead to referrals or recommendations for the position.
✨Tip Number 4
Prepare to discuss your problem-solving skills and collaborative experiences in a fast-paced environment. Be ready to share examples of how you've optimised deployment processes or improved application performance in previous roles.
We think you need these skills to ace Cloud DevOps Engineer (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in DevOps, particularly with CI/CD pipelines, Infrastructure as Code, and cloud platforms like Azure. Use keywords from the job description to align your skills with what Synechron is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and cloud technologies. Mention specific projects where you've successfully implemented automation or containerisation, and explain how your experience aligns with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on any projects involving Docker, Kubernetes, or monitoring tools like Prometheus and Grafana, be sure to include these in your application. Highlight your role and the impact of your contributions to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a role in DevOps.
How to prepare for a job interview at Synechron
✨Showcase Your CI/CD Expertise
Be prepared to discuss your experience with CI/CD pipelines, particularly using GitLab or Jenkins. Highlight specific projects where you set up and maintained these pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Infrastructure as Code Knowledge
Familiarise yourself with Infrastructure as Code tools like Terraform or ARM templates. During the interview, share examples of how you've automated infrastructure provisioning and management in previous roles, focusing on the benefits it brought to the projects.
✨Discuss Containerisation and Orchestration
Since the role involves Docker and Kubernetes, be ready to talk about your hands-on experience with these technologies. Prepare to explain how you've containerised applications and orchestrated deployments, and any performance improvements that resulted from your efforts.
✨Highlight Collaboration Skills
Collaboration is key in this role, so think of examples where you've worked closely with development teams. Discuss how you optimised AI application deployment and operational performance through teamwork, and emphasise your problem-solving skills in a fast-paced environment.
