Site Reliability Engineer

South Bank
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Site Reliability Engineer - DataOps

Lead Site Reliability Engineer - DataOps

Lead DataOps SRE for Cloud-Scale Data Pipelines

Lead DataOps SRE — Cloud Data Pipelines

Senior DataOps SRE — Cloud Pipelines & Automation

Senior MLOps & Platform Engineer

Site Reliability Engineer

Are you a Site Reliability Engineer, Environment Manager, Platform Engineer, or a senior-level DevOps Engineer? Are you looking for an exciting role in a newly formed team that will drive innovation and create best-in-class development environments to support product innovation and delivery? Does a remote-first role sound good to you? If so, then this could be right up your street!

Nicholas Howard is delighted to be recruiting for a Site Reliability Engineer to join a leading systems integrator. Our client helps companies to establish, maintain and grow their IT services, and operate their critical technology in a more cost-effective manner. This is a brand-new role within the strategic engineering team, which sets and maintains design and development standards across IP development.

As a Site Reliability Engineer (SRE), you will ensure the reliability, availability, and performance of services, primarily utilising Microsoft Azure with a focus on containers, serverless, AI, analytics, and database services. You will work closely with development teams to build scalable and resilient systems and provide advisory support to our support teams. Although Azure will be our main Cloud Platform experience with AWS would be desirable. Fundamentally, the post-holder will play a crucial role in building the environment for internal development capability.

This is a remote-first role, with time in the office in London once a month.

Key Responsibilities:

  • Collaborate with development teams to design scalable and resilient architectures in Azure.

  • Develop and implement monitoring and alerting solutions to ensure service reliability.

  • Automate operational processes and tasks using Infrastructure as Code (IaC) and scripting.

  • Manage and optimise Azure resources, focusing on:

    • Containers (e.g., Azure Kubernetes Service (AKS), Azure Container Apps).

    • Serverless computing (e.g., Azure Functions, Logic Apps).

    • AI and analytics (e.g., Azure Machine Learning, Synapse Analytics, Data Factory).

    • Database services (e.g., Cosmos DB, Azure SQL, PostgreSQL).

  • Perform root cause analysis for incidents and implement preventative measures.

  • Provide advisory support to platform support teams.

  • Work in a multi-cloud environment, and while Azure is the primary focus, experience with AWS (e.g., ECS, Lambda, RDS) is beneficial.

    Key Skills and Experience:

  • Proven experience as an SRE, or in a similar role.

  • Strong expertise in Azure services (containers, serverless, AI, analytics, databases).

  • Experience with implementing and utilising monitoring & logging tools (Azure Monitor, Application Insights, Datadog, Grafana).

  • Proficient in scripting & automation (Python, Bash, PowerShell).

  • Infrastructure as Code (IaC) experience (Terraform, Bicep, ARM Templates).

  • Experience with making technical decisions and implementing solutions that align with best practices and business goals.

  • Excellent problem-solving and collaboration skills.

  • AWS knowledge and experience would be a plus.

    The company offers a highly competitive salary, along with comprehensive benefits including flexible remote working, a generous company pension, health and dental insurance, life assurance, access to the Udemy training platform to support ongoing skills development and training, and a wide range of additional lifestyle perks.

    Please register your interest by applying now

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.