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- Tasks: Join us as a 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 mentoring and development.
- Why this job: Be part of a multi-year AI project that impacts the financial sector while working in a collaborative culture.
- Qualifications: Experience with CI/CD, Infrastructure as Code, Docker, Kubernetes, and Azure is essential.
- Other info: This role offers a flexible start date and requires 3 days in the London office.
The predicted salary is between 43200 - 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
DevOps Engineer (Supporting AI) employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer (Supporting AI)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Terraform, Docker, and Kubernetes. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with the DevOps community online, particularly around AI applications. Join forums or social media groups where you can discuss best practices and trends, which can help you gain insights and make valuable connections.
✨Tip Number 3
Prepare to discuss your previous projects that involved CI/CD pipelines and cloud infrastructure management. Be ready to explain your problem-solving approach and how you collaborated with teams to optimise application performance.
✨Tip Number 4
Research Synechron's work culture and values, especially their commitment to diversity and inclusion. Tailoring your conversation to reflect an understanding of their ethos can set you apart during interviews.
We think you need these skills to ace DevOps Engineer (Supporting AI)
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 demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and DevOps. Mention specific projects where you've successfully implemented automation or containerisation, and explain how your skills align with the responsibilities outlined by Synechron.
Showcase Relevant Skills: In your application, emphasise your hands-on experience with tools like Terraform, Docker, Kubernetes, and monitoring solutions such as Prometheus and Grafana. Provide examples of how you've used these technologies in past roles.
Highlight Collaborative Experience: Since the role involves working closely with development teams, include examples of successful collaborations in your application. Discuss how you’ve contributed to optimising application performance and ensuring compliance with security standards.
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 with tools like GitLab and Jenkins. Highlight specific projects where you successfully implemented these processes, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate Infrastructure as Code Skills
Familiarise yourself with Infrastructure as Code (IaC) tools such as Terraform or ARM templates. Be ready to explain how you've used these tools to automate infrastructure provisioning and management in previous roles, as this is a key requirement for the position.
✨Discuss Containerisation and Orchestration
Since the role involves containerising applications and using orchestration technologies like Docker and Kubernetes, prepare examples of how you've managed these technologies in past projects. This will show your capability to handle the technical demands of the job.
✨Understand AI Workflows
While not mandatory, having a grasp of AI/ML workloads can set you apart. Research how DevOps practices integrate with AI applications and be ready to discuss any relevant experience or insights you have on optimising AI workflows.
