Reliability Engineering Specialist

Reliability Engineering Specialist

Job Overview

Location
London, England
Job Type
Full Time Job
Job ID
85254
Date Posted
1 year ago
Recruiter
Maria Konsta
Job Views
135

Job Description

Our mission is to break down the barriers of today to release the potential of tomorrow. Join us today and release yours.

There are two things that we want to share with anyone considering joining us.

Firstly, we’ve got big ambitions for our colleagues and the future of the organisation. These include our vision that inclusion and accessibility drive every conversation we have and every decision we make. We want our workforce to fully represent the communities and customers we serve, because a diverse business is a better business. We value every colleague, their diversity and the contribution that they make. When we say you’re welcome at BT, we really mean it.

Secondly, the one thing the pandemic has taught us is that a lot of current and future colleagues, where and when possible, want to embrace hybrid working. Therefore, we are introducing smart working at BT. Smart working means having the flexibility to choose, as a team, how and where you work depending on your team’s deliverables and needs; when you are at your shared core location to connect with others and when not. It may not be for every role, and, as part of the recruitment process, you’ll have the chance to discuss smart working and how it might work for the job you are applying for.

 

 

About this role

The Specialist Engineer is responsible for ensuring the use of AI and big data to aggregate observational data (from monitoring systems output, job logs, syslogs, etc.) and engagement data (from ticketing, incident, and event recording system data) to produce a virtuous circle of continuous insights yielding continuous improvements and fixes. The goals are to:

• Implement state-of-the-art algorithms and to develop new approaches and technologies for deriving value from available data.

• Run and scale POC efforts and create capacity within the Operations team.

• Select and implement the best technologies and approaches based on experience, judgment, and experimentation results.

The role may be responsible for managing several concurrent high visibility projects using agile methods in a fast-paced environment that may cross multiple business divisions.

You'll have the following responsibilities

• Explore, understand, and implement most recent Machine Learning algorithms and approaches for supervised and unsupervised machine learning and deep learning.

• Create excellence both in terms of results, quality and system scalability through continuous evaluation, analysis, and refinement of the application implementation.

• Use AI and big data to identify opportunities and work with partner teams to improve systems availability and automate/optimize operations.

• Develop business cases for automation and partner with the relevant teams to implement them.

• Coach and develop junior AIOps engineers. 

• Partner closely with engineering teams, operations leaders, senior leaders and application teams.

• Identify and develop trusted adviser relationship with relevant stakeholders, management sponsors and senior executives.  

You'll have the following skills & experience

• Experience with machine learning and deep learning. 

• Practical knowledge of working with scalable platforms for processing of huge data sets. 

• Ability to understand the data, associated processes and business implications. 

• Scaling from minimum viable product up to shippable code. 

• Building and maintaining innovative new solutions from the ground-up.  

• Bachelor’s or master’s degree in computer science or related field.

• Solid foundation in computer science, with strong competencies in algorithms, data structures, design patterns, and software design principles.

• More than 8 years’ experience in AI/Machine Learning.

• Implemented AIOps platform at an enterprise level. 

• More than 10 years’ experience in distributed computing and big data technologies.

• Deep knowledge in Application of Machine Learning/Artificial Intelligence in IT operations.

• Software engineering principles (preferably Agile/Scrum) and their application to the creation of self-healing infrastructure and applications. 

• Cloud infrastructure operations and automation technologies.

• Widely used automation tools/technologies in the infrastructure environment. 

• Extensive knowledge of BT Standards and Processes

• Broad knowledge of and significant experience with Consumer products and services 

• Experienced in working with other senior professionals and managers across Technology on BAU, tactical and strategic pieces of work.

• Very effective interpersonal skills including mentoring, coaching, collaborating, and team building.

• Strong analytical, planning, and organizational skills with an ability to manage competing demands.

• Creative approach to problem-solving with the ability to focus on details while maintaining the “big picture” view.

 

 

About BT

BT has a key role in British society, fostering change and leading technology innovation. From delivering the Olympics, to supporting the emergency services, to investing more into research than any other UK technology company, we take pride in everything we do - and in the people who work here.

We're now a global company operating at the forefront of the information age, employing 90,000 people in 180 countries. And we're on a mission. Guided by our core values of Personal, Simple and Brilliant our goal is to help customers, communities and businesses overcome barriers and release their potential.

So, if you're interested in the power of potential, why not join us today and release yours? You can read more here about what it's like to work at BT

How to Apply

It's easy to apply online; you just need a copy of your up-to-date CV and to follow the step-by step process. Don't worry if you need to make changes - you'll have the opportunity to review and edit your work on the final page. We look forward to receiving your application!

Job ID: 85254

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