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Senior DevOps Engineer

Methods Analytics (MA) is recruiting for a Senior DevOps Engineer with strong cloud and Kubernetes experiences to join our team a permanent basis.

 

This role will be hybrid, requiring flexibility to regular travel to our client sites in the Southwest of England, and occasionally one of our offices in either London, Sheffield, or Bristol.

 

What You'll Be Doing as a Senior DevOps Engineer:

  • Design, implement, and maintain CI/CD pipelines and automation workflows that support a scalable, secure, and agile deployment environment.
  • Oversee container orchestration and infrastructure management on Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), or Oracle Kubernetes Engine (OKE), ensuring seamless integration across development, pre-production, and production environments.
  • Embed DevSecOps practices into the development lifecycle, ensuring security, compliance, and performance are integrated into automated deployment pipelines.
  • Implement infrastructure as code (IaC) using Terraform, ensuring automated, repeatable, and scalable cloud infrastructure provisioning.
  • Monitor system performance, automate scaling, and optimize cloud resource utilization to ensure high availability and operational efficiency.

 

Your Impact:

  • Enable rapid, reliable, and secure deployments that accelerate time-to-market for new services.
  • Ensure high operational efficiency and system resilience through effective automation and proactive monitoring.
  • Drive continuous improvement in infrastructure processes, reducing manual effort and increasing reliability in cloud-native environments.
  • Improve security posture by integrating DevSecOps best practices into cloud and infrastructure automation.

 

You Will Demonstrate:

  • Strong experience in designing, building, and managing CI/CD pipelines and automation workflows in cloud-native environments.
  • Expertise in container orchestration using Kubernetes platforms such as AKS, EKS, GKE, or OKE.
  • Hands-on experience with infrastructure-as-code (IaC) tools such as Terraform and Ansible.
  • Deep understanding of DevSecOps principles, security automation, and compliance-driven infrastructure management.
  • Experience working in Agile and cross-functional teams, collaborating with architects, engineers, and security specialists.
  • Proficiency in scripting and automation using Bash, Python, or similar languages.

 

You may also have some of the desirable skills and experience:

  • Experience with DevSecOps practices, CI/CD automation, and GitOps methodologies (e.g., ArgoCD).
  • In-depth knowledge of industry-leading open-source tools (e.g. the Apache stack) that foster a flexible, innovative, and vendor lock-in free environment.
  • Familiarity with monitoring and logging solutions such as Prometheus, Grafana, ELK Stack, and Logstash.
  • Strong networking knowledge, including Kubernetes networking policies, service mesh (e.g., Istio), and cloud networking.
  • Relevant certifications in cloud computing, Kubernetes, or DevOps (e.g., CKAD, CKA, AWS/Azure/GCP DevOps certifications).

 

Security Clearance:

UKSV (United Kingdom Security Vetting) DV (Developed Vetting) clearance is required for this role, either already held or with a willingness to undergo the process. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK – Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.

 

Working at MA

 

Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.

 

We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility.

We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes.

We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.

 

We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy.

 

By joining us you can expect

  • Autonomy to develop and grow your skills and experience
  • Be part of exciting project work that is making a difference in society
  • Strong, inspiring, and thought-provoking leadership
  • A supportive and collaborative environment

As well as this, we offer:

  • Development access to Pluralsight and LinkedIn Learning
  • Wellness 24/7 Confidential employee assistance programme
  • Social - office parties, pizza Friday and commitment to charitable causes
  • Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year
  • Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation
  • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
  • Discretionary Company Bonus based on company and individual performance
  • Life Assurance of 4 times base salary
  • Private Medical Insurance which is non-contributory (spouse and dependants included)
  • Worldwide Travel Insurance which is non-contributory (spouse and dependants included)

 

What You Should Know About Senior DevOps Engineer, Methods Business and Digital Technology

Join Methods Analytics (MA) as a Senior DevOps Engineer and play a pivotal role in enhancing our deployment and automation strategies! In this exciting position, you'll design, implement, and maintain CI/CD pipelines and automation workflows that are vital for a scalable and secure deployment environment. Your expertise in cloud and Kubernetes will be essential as you oversee container orchestration and infrastructure management across platforms like Azure Kubernetes Service (AKS), Amazon EKS, Google GKE, or Oracle OKE. But that's not all – you'll also embed DevSecOps practices into our development lifecycle, ensuring that security and compliance is deeply integrated into our automated pipelines. Working collaboratively with cross-functional teams, you’ll implement infrastructure as code using Terraform, optimize cloud resources, and ensure high availability. Your contributions will not only accelerate our time-to-market for new services but also improve the overall efficiency and security posture of our systems. If you are passionate about making a difference with technology while enjoying the flexibility of hybrid work, this may be the perfect opportunity for you! At MA, we promote a collaborative culture that encourages continuous improvement and innovation, ensuring you thrive while helping us achieve our mission of improving society through better data-driven decisions.

Frequently Asked Questions (FAQs) for Senior DevOps Engineer Role at Methods Business and Digital Technology
What are the main responsibilities of a Senior DevOps Engineer at Methods Analytics?

As a Senior DevOps Engineer at Methods Analytics, you will be responsible for designing and maintaining CI/CD pipelines and automation workflows, overseeing Kubernetes orchestration across various cloud platforms like AKS or EKS, and implementing security measures within the deployment process. Additionally, you'll be expected to automate infrastructure using Terraform and ensure optimal performance through proactive monitoring.

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What qualifications do I need to apply for the Senior DevOps Engineer position at Methods Analytics?

To qualify for the Senior DevOps Engineer role at Methods Analytics, candidates should have strong experience in cloud-native environments alongside expertise in container orchestration with Kubernetes. Familiarity with infrastructure as code tools like Terraform, scripting languages such as Bash or Python, and a solid understanding of DevSecOps principles are also vital for success.

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Is UK security clearance required for the Senior DevOps Engineer role at Methods Analytics?

Yes, for the Senior DevOps Engineer position at Methods Analytics, either existing UKSV DV clearance or a willingness to undergo the clearance process is necessary. This is part of ensuring compliance and security in your role, and details about the required background checks will be discussed during the interview.

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What are the benefits of working as a Senior DevOps Engineer at Methods Analytics?

Senior DevOps Engineers at Methods Analytics can expect a supportive working environment with autonomy in skill development. Benefits include access to learning resources like Pluralsight, wellness programs, generous leave policies, and the opportunity for volunteering, alongside a strong emphasis on work-life balance.

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What technologies and tools do Senior DevOps Engineers use at Methods Analytics?

In the Senior DevOps Engineer role at Methods Analytics, you will utilize a variety of technologies, primarily focusing on cloud platforms (AKS, EKS, GKE) for container orchestration, Terraform for infrastructure as code, and monitoring tools like Prometheus and Grafana. Additionally, a familiarity with open-source tools and cloud networking will also be beneficial.

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Common Interview Questions for Senior DevOps Engineer
Can you explain your experience with CI/CD pipelines and their importance?

In your response, highlight specific projects where you've designed or managed CI/CD pipelines. Discuss how they streamline the development process, enhance collaboration, and ensure consistent, reliable deployments. Providing metrics or outcomes from these experiences can illustrate your impact effectively.

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What Kubernetes management tools do you have experience with?

Share your familiarity with Kubernetes management tools like AKS, EKS, or GKE. Discuss specific tasks you've performed using these platforms, such as orchestration, scaling applications, or monitoring performance, and how these experiences have prepared you for this role at Methods Analytics.

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How would you implement DevSecOps practices in a project?

Explain your approach to integrating security practices within the DevOps workflow. Discuss how you would incorporate automated security checks in CI/CD pipelines and the importance of compliance and performance monitoring in the software development lifecycle.

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What scripting or automation tools are you proficient in?

Discuss the scripting languages you have experience with, such as Bash or Python. Provide examples of how you've used these languages to automate tasks, improve system performance, or facilitate infrastructure deployment, thus showcasing your technical skills.

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Can you describe a challenging problem you faced in a cloud environment and how you solved it?

Share a specific example where you faced a significant issue, such as a performance bottleneck or a deployment failure. Explain the steps you took to diagnose the issue, the solution you implemented, and the positive impact it had on the project and team.

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What are your thoughts on IaC (Infrastructure as Code) and its benefits?

Discuss the advantages of using IaC like Terraform, focusing on automation, consistency, and the ability to easily replicate environments. Share instances where implementing IaC led to reduced manual errors or improved scalability in your projects.

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How do you ensure high availability in your cloud architecture?

Explain your strategies for maintaining high availability, such as the use of load balancers, failover mechanisms, and redundancy. Highlight any relevant experience where you successfully ensured system uptime and reliability.

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What monitoring and logging tools are you familiar with?

Discuss your experience with monitoring tools like Prometheus, Grafana, or ELK Stack. Describe how you utilized these tools to gain insights into system performance and troubleshoot issues, highlighting any improvements you made based on logging data.

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How do you approach continuous improvement in DevOps practices?

Elaborate on your commitment to continuous improvement within DevOps. Discuss methods you’ve used, such as retrospectives or team feedback sessions, to identify areas for enhancement and how you’ve implemented feedback into daily practices.

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What do you think are the key skills for a successful Senior DevOps Engineer?

Mention essential skills such as collaboration, technical proficiency in cloud technologies, and strong problem-solving abilities. Illustrate how each skill contributes to the effectiveness of a Senior DevOps Engineer and gives you an edge in managing complex systems.

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Since our establishment in 1990, Methods has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. We are passionate about the work we do and transforming services for citi...

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Full-time, hybrid
DATE POSTED
March 25, 2025

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