SysAdmin/DevOps Engineer

Liverpool
4 weeks ago
Create job alert

Role: SysAdmin/DevOps Engineer
Benefits: £50k - £60k and more
Location: North West England (Hybrid)
Job Type: Full-time
We are looking for a Systems Administrator/DevOps Engineer to manage the deployment, maintenance, and technical support of applications across development, test, pre-production, and production environments. You will collaborate with cross-functional teams to resolve issues, enhance system performance, and contribute to IT projects while mentoring others.
Key Responsibilities
System Management & Deployment

  • Maintain, deploy, and support applications across various environments.
  • Troubleshoot and resolve production issues to ensure system stability and performance.
  • Oversee data sources (MySQL, MongoDB, Elasticsearch, Redis, Hadoop, etc.).
    Automation & Infrastructure
  • Implement CI/CD pipelines using Jenkins and Git.
  • Manage Kubernetes and containerized environments.
  • Automate infrastructure with Ansible, Chef, Puppet, and scripting (Bash, Python).
    Technical Leadership & Collaboration
  • Provide expertise on open-source technologies and best practices.
  • Work with enterprise architects to ensure solutions align with business goals.
  • Support security compliance and incident/problem management processes.
    Performance & Monitoring
  • Enhance monitoring and reporting for system performance.
  • Collaborate on capacity planning and ensure systems meet business needs.
    Required Skills & Experience
  • Strong experience with Kubernetes, containerization, and automation tools.
  • Proficiency in Linux (Ubuntu/CentOS/SUSE), scripting (Bash, Python).
  • Knowledge of web services (Apache/Tomcat), message queues (Kafka, RabbitMQ).
  • Hands-on experience with CI/CD pipelines and infrastructure as code.
  • Strong problem-solving, communication, and documentation skills.
  • Ability to work independently and mentor junior team members

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Engineering vs. Data Science vs. Data Analytics Jobs: Which Path Should You Choose?

In the modern data-driven era, businesses in every sector—retail, finance, healthcare, and beyond—are constantly gathering large volumes of information to power insights and fuel decision-making. Consequently, the demand for data professionals has skyrocketed, with Data Engineering jobs in particular experiencing rapid growth. However, many job seekers remain unsure about how Data Engineering differs from Data Science or Data Analytics, or which role aligns best with their interests and career aspirations. This comprehensive guide will demystify the key differences among Data Engineering, Data Science, and Data Analytics. We’ll explore overlapping and distinctive skills, delve into typical job responsibilities, discuss salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer understanding of which path might suit you best. And when you’re ready to move forward, visit www.dataengineeringjobs.co.uk to explore the latest vacancies and take the next step in your data-focused career.

Data Engineering Programming Languages for Job Seekers: Which Should You Learn First to Launch Your Career?

In an era where data is fueling decision-making and driving innovation across industries, data engineering has emerged as a pivotal career path. Rather than just collecting and storing information, data engineers design and maintain sophisticated pipelines that transport, transform, and store massive datasets—enabling data scientists, analysts, and business teams to glean meaningful insights. If you’re researching opportunities on www.dataengineering.co.uk, you may be wondering: “Which programming language should I learn first for a career in data engineering?” It’s a great question. Data engineering spans a wide range of tasks—ETL pipelines, real-time streaming, data warehousing, big data frameworks, and more—requiring a versatile toolset. Languages like SQL, Python, Scala, Java, Go, and R each play unique roles in building robust data infrastructures. In this guide, you’ll discover: Detailed overviews of the top programming languages in data engineering. Pros, cons, and industry relevance for each language. A simple beginner’s project to sharpen your data engineering skills. Essential resources and tips to help you thrive in the job market.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Engineering Talent

Data engineering has become a foundational pillar for organisations seeking to leverage their data assets effectively. From building robust data pipelines and integrating real-time analytics to migrating entire infrastructures to the cloud, skilled data engineers drive innovation and growth. In the United Kingdom, demand for data engineering professionals spans multiple sectors, including finance, healthcare, retail, tech start-ups, and government services. However, if you’re an international data engineering specialist looking to build or advance your career in the UK, one critical step stands before you: navigating the visa and work permit landscape. This comprehensive guide breaks down key visa routes, eligibility criteria, and practical steps to help you secure employment and settle into the UK’s thriving data ecosystem. Whether you specialise in ETL processes, big data platforms, or cloud infrastructure, understanding the UK visa system is the first step toward realising your ambitions.