Senior Site Reliability Engineer – DevOps

TN United Kingdom
London
2 days ago
Create job alert

Social network you want to login/join with:

Senior Site Reliability Engineer – DevOps, LondonClient:

LogicMonitor

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

435f2111853e

Job Views:

6

Posted:

14.03.2025

Expiry Date:

28.04.2025

Job Description:

What Youll Do:

LM Envision, LogicMonitors leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimise alert fatigue, proactively predict trends, and maximise enterprise growth and transformation.

This role will take a lead in the operational uptime and continued expansion of LM Edwin AI infrastructure by serving as a facilitator of operational excellence. Responsibilities include designing and implementing new production deployments of SOA-based software across cloud datacentres, as well as providing guidance on organizing, securing and automating existing infrastructure and deployments. This position involves working with developers and providing feedback to drive operational performance improvements within the LM platform and operations infrastructure.

Heres a closer look at this key role:

  • Maintain uptime of LogicMonitors (Edwin AI) SaaS-based service and drive technical/process enhancements to improve uptime.
  • Lead efforts to design and implement resilient IT applications using DevOps and SRE principles.
  • Deploy production applications and drive improvements to the deployment process.
  • Monitor system performance and troubleshoot issues to ensure high availability and reliability.
  • Design and deploy new application components.
  • Design and deploy new infrastructure components and integrations.
  • Ensure security of the production environment.
  • Develop and implement automated disaster recovery processes to minimise system downtime.
  • Identify opportunities for improvement in system performance, deployment speed, and scalability.
  • Write high-quality code to automate various aspects of infrastructure maintenance and deployment.
  • Support engineering and work closely with engineers to drive operational and architectural/design changes.
  • Own, manage, and execute multiple large and technically complex projects across teams.
  • Provide alignment between business objectives and the teams pursuit of technology improvements.
  • Contribute to remediation actions relating to service disruptions and outages.
  • Provide direct technical guidance to help team members achieve goals and improve their productivity.
  • Participate in the recruitment and hiring of new engineers.

What Youll Need:

  • 5+ years as a DevOps Engineer or SRE with designing and implementing resilient IT applications using DevOps and SRE principles.
  • Good understanding of Linux system administration and 3+ years of hands-on experience.
  • Good understanding of networking technologies.
  • Experience building IaC automations using Terraform.
  • Production experience of containers and container orchestration tools (Docker/Kubernetes).
  • Good understanding of Amazon Web Services.
  • Experience of designing/implementing CI/CD pipelines including production deployments.
  • Experience building and working with logging and metrics solutions such as Prometheus.
  • Experience programming with RESTful web services.
  • Proficient Python developer.
  • Well-versed in security principles, both systems and network.
  • Excellent written and verbal communications skills with a track record of improving documentation and processes.
  • Experience in carrying out complex problem determination and Root Cause Analysis across complex distributed systems.

LogicMonitor is an Equal Opportunity Employer
At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.

For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

#LI-KW1 #BI-Hybrid #LI-Hybrid

J-18808-Ljbffr

Related Jobs

View all jobs

Senior IT Engineer

Design & Development Engineer (Hardware)

Senior Content Designer

Senior Data Engineer

Python Developer

Lead Machine Learning Engineer

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.

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.

AI Leadership for Managers: How to Motivate, Mentor, and Set Realistic Goals for Data-Driven Teams

As artificial intelligence (AI) becomes ever more integral to modern business, the need for skilled leadership in AI-intensive projects has skyrocketed. Whether an organisation is building a sophisticated recommendation system, streamlining internal operations, or breaking new ground in automated decision-making, AI leaders hold the key to successful implementation. They bridge the gap between deep technical knowledge and broader business objectives, ensuring that data-driven initiatives meet real-world needs and deliver tangible value. This comprehensive guide is designed for managers and aspiring leaders aiming to excel in AI-driven environments. By exploring how to motivate and mentor AI professionals, set achievable goals, and foster a high-performance culture, you will gain valuable insights into what it takes to lead teams in a sphere defined by rapid innovation, complex challenges, and vast opportunities.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.