Site Reliability Engineer

South Bank
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineers

Technology Risk Manager (1.5 LoD)

Senior IT Engineer

Vehicle Technician

Vehicle Tech

Connectomics Data Analysis 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

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.

Careers

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Careers

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Jobs

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.