At a Glance
- Tasks: Manage and deploy cloud platforms using Azure and Kubernetes in a dynamic environment.
- Company: Join a leading data and AI company known for its inclusive culture.
- Benefits: Enjoy flexibility, competitive salary, and a world-class employee experience.
- Other info: Embrace curiosity and authenticity in a supportive team atmosphere.
- Why this job: Make an impact with innovative technologies while collaborating globally.
- Qualifications: 5+ years in cloud engineering, strong skills in Kubernetes, Docker, and scripting.
The predicted salary is between 63000 - 77000 £ per year.
Cloud Platform & Dev Ops Engineer (Azure & Kubernetes) - Marlow, London or Glasgow, UK
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here.
We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The SAS Cloud Managed Services team is looking for a Cloud Platform & Dev Ops Engineer to join the SAS Cloud team in SAS’s Cloud and Information Services division.
You will be responsible for managing, deploying, and operating application platforms in a multi-cloud environment (primarily Microsoft Azure, alongside AWS).
In this role, you will own cloud infrastructure engineering functions, containerized application deployments, Kubernetes cluster management, and operational automation workflows.
You'll work in a shift-based environment supporting international clients, managing multi-cloud infrastructure (Azure & AWS), Kubernetes clusters, and automation workflows while collaborating across global teams.
As a Cloud Platform & Dev Ops Engineer, you will
- Container Orchestration & Deployment: Build, optimize, and manage Docker images; deploy, scale, and maintain applications across Kubernetes clusters.
- Cloud Infrastructure Management: Design, provision, and maintain resilient cloud infrastructure on Microsoft Azure and AWS.
- Automation & Scripting: Write and maintain automation scripts in Python and Bash to streamline operational tasks and infrastructure management.
- Workflow Management: Configure, monitor, and maintain orchestration pipelines using Apache Airflow.
- System Monitoring & Reliability: Perform Linux system administration, configure system reliability monitoring using Datadog, and resolve complex production incidents.
- Operational Excellence: Provide technical support for global clients, handle incidents and task tracking using Service Now, Jira, and Confluence, and update operational runbooks.
- Ensure security policies are followed and test production fixes for customer satisfaction
- Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
- Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
- Required qualifications
- 5+ years of experience as a Cloud Engineer, Dev Ops Engineer, or Platform Engineer.
- Bachelor's degree in Computer Science, Business, or related field (or equivalent experience)
- Kubernetes & Docker: Strong hands-on experience with containerization (Docker image creation) and container orchestration (Kubernetes management and deployment).
- Cloud Platforms: Solid expertise in Microsoft Azure (primary) and AWS.
- Linux & Scripting: Hand-on experience in Unix/Linux administration and strong scripting skills (Python & Bash).
- Monitoring & Workflows: Experience with Datadog (or similar monitoring tools) and workflow orchestration platforms like Apache Airflow.
- Operations: Experience working with ITSM and task tracking tools (Service Now, Jira, Confluence), with comfort working in shift-based models supporting global teams.
- Proficiency in Unix/Linuxadministration
- Proof of right to work in the UK
- Ability to obtain SC clearance
- Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
- Additional competencies, knowledge and skills
- Communication - Conveying information and ideas clearly and concisely to individuals or groups in an engaging manner that helps them understand and retain the message, listening actively to others.
- Collaboration - Working cooperatively with others to help a team or work group achieve its goals.
- Building Trusting Relationships - Using appropriate interpersonal styles to establish effective relationships with customers and internal partners; interacting with others in a way that promotes openness and trust and gives them confidence in one’s intentions.
- Driving for Results - Setting high goals for personal and group accomplishment; using measurement methods to monitor progress toward goals; tenaciously working to meet or exceed goals while deriving satisfaction from that achievement and continuous improvement.
- Strong problem-solving in fast-paced, multi-tasking environments
- Familiarity with Infrastructure as Code (Ia C) tools such as
- Terraform or
- Ansible
- Knowledge of CI/CD pipeline automation (Azure Dev Ops, Git Hub Actions, Jenkins).
- High-level understanding of cloud data workflows and Dev Ops integration practices.
You are welcome here.
At SAS, it’s not about fitting into our culture – it’s about adding to it.
We believe our people make the difference.
Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Cloud Platform & DevOps Engineer (Azure & Kubernetes) in London employer: SAS
At SAS, we pride ourselves on being a leader in data and AI, offering a dynamic and fulfilling career as an Associate Software Developer in the vibrant city of Glasgow. Our inclusive work culture fosters creativity and collaboration, providing employees with exceptional growth opportunities and the flexibility of a hybrid work environment. Join us to be part of a team that values curiosity, passion, and accountability while developing innovative solutions that make a real impact on society.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Platform & DevOps Engineer (Azure & Kubernetes) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SAS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SAS.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SAS.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SAS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Cloud Platform & DevOps Engineer (Azure & Kubernetes) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SAS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SAS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SAS
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SAS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
