At a Glance
- Tasks: Join our team as a Site Reliability Engineer, managing AWS infrastructure and ensuring system reliability.
- Company: Capgemini Engineering is a global leader in engineering services, driving innovation across industries.
- Benefits: Enjoy open access to digital learning platforms and a diverse, inclusive work environment.
- Why this job: Make a real impact in a fast-paced, cloud-native environment with cutting-edge technology.
- Qualifications: 5+ years of experience with AWS and operationalising large-scale systems; degree in Computer Science preferred.
- Other info: We value unique experiences; if you’re excited, apply even if you don’t meet every requirement.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the DevOps/Site Reliability Engineer role at Capgemini Engineering
Join to apply for the DevOps/Site Reliability Engineer role at Capgemini Engineering
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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.
Your role
As a Site Reliability Engineer on the Engineering Operations team, you will contribute to every phase of the software development lifecycle. In our fast-paced, cloud-native environment, you\’ll be responsible for scaling and managing AWS-based infrastructure, designing for high availability, and maintaining reliable CI/CD pipelines. You\’ll work closely with development, security, privacy, and quality teams to deliver secure, scalable, and resilient systems.
Our tech stack is centered around AWS, with services built in Kotlin and deployed using modern orchestration and telemetry tools. A strong foundation in distributed systems, observability, and cloud-native design is essential. Experience with AI/ML to enhance observability, automate incident response, and enable self-healing capabilities is a valuable plus.
Your profile
Essential Qualifications
- Proven experience in operationalizing large-scale, distributed, fault-tolerant, multi-tenant systems in production environments.
- 5+ years of experience in working with AWS Services, including but not limited to EC2, S3, EKS, DynamoDB, EBS CloudFormation, Lambda, VPC, Route 53.
- Bring at least 5 years experience operating in core SDLC CI/CD processes, along with SRE concepts – Monitoring, Alerting, Incident management.
- Experience working within a DevOps operating model, with exposure to data analytics and AI/ML use cases in infrastructure and operations.
- BS degree in Computer Science or equivalent field.
Preferred Qualifications
- AWS certifications (e.g., Certified Solutions Architect, Certified Developer).
- Launched and operated commercial products and services based on AWS (references required), specific examples in FinTech are a strong plus.
- Published papers or led talks featuring leading multi-functional projects.
- Familiarity with managing interdependent systems at scale, including both interactive and batch-oriented.
- Working knowledge of ML and GenAI concepts, including LLM architectures, attention mechanisms, function calling, agentic workflows.
- Experience with AI/ML in observability and automation, such as proactive monitoring, anomaly detection, and root cause analysis using tools like Datadog, Splunk, or New Relic. Expertise of using frameworks such as LangChain or Spring AI to build AI-powered applications integrated with APIs and vector databases is a big plus.
If you\’re excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need
What You’ll Love About Working Here
- Open access to digital learning platforms
- Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or
- A work environment recognized by Ethisphere as one of the World’s most Ethical companies
Need to know
- All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
- You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Seniority level
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Seniority level
Associate
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
IT Services and IT Consulting
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DevOps/Site Reliability Engineer employer: Capgemini Engineering
Contact Detail:
Capgemini Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps/Site Reliability Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as EC2, S3, and EKS. Having hands-on experience or projects that showcase your skills with these services can set you apart during discussions.
✨Tip Number 2
Engage with the DevOps community online, particularly on platforms like GitHub or Stack Overflow. Contributing to open-source projects or sharing your insights can help you build a network and demonstrate your expertise in the field.
✨Tip Number 3
Prepare to discuss your experience with CI/CD processes and SRE concepts in detail. Be ready to share specific examples of how you've implemented monitoring, alerting, and incident management in past roles.
✨Tip Number 4
If you have any relevant AWS certifications, make sure to highlight them in conversations. They not only validate your skills but also show your commitment to professional development in the cloud space.
We think you need these skills to ace DevOps/Site Reliability Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AWS services and DevOps practices. Use specific examples from your past roles that demonstrate your ability to manage cloud infrastructure and CI/CD pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in areas like AI/ML and distributed systems. Be sure to include any relevant certifications or projects.
Showcase Your Technical Skills: When detailing your technical skills, focus on your experience with AWS tools and technologies. Include any specific projects where you implemented solutions using these tools, especially in a production environment.
Highlight Soft Skills: Don’t forget to mention soft skills that are crucial for a Site Reliability Engineer, such as teamwork, communication, and problem-solving abilities. Provide examples of how you've successfully collaborated with cross-functional teams in the past.
How to prepare for a job interview at Capgemini Engineering
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services like EC2, S3, and Lambda. Be prepared to discuss specific projects where you’ve successfully implemented these technologies, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate CI/CD Knowledge
Since the role involves maintaining reliable CI/CD pipelines, be ready to explain your understanding of core SDLC processes. Share examples of how you've optimised these processes in previous roles, focusing on any challenges you overcame.
✨Discuss Distributed Systems Experience
Capgemini is looking for someone with a strong foundation in distributed systems. Prepare to talk about your experience operationalising large-scale, fault-tolerant systems, and how you ensured their reliability and scalability in production environments.
✨Highlight AI/ML Integration
If you have experience with AI/ML, especially in observability and automation, make sure to mention it. Discuss any tools you've used, like Datadog or Splunk, and how you've applied AI/ML concepts to enhance system performance and incident response.