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DevOps Engineer - Cloud Engineering

Location: London

Service Line: Solutions & Digital

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Experienced Professional

Lead DevOps Engineer

Location: Leeds

Service Line: Solutions & Digital

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Experienced Professional

Lead Data Scientist - Senior Manager

Location: London

Service Line: Solutions & Digital

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Experienced Professional

Lead QA Engineer (Manager)

Location: London

Service Line: Solutions & Digital

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Experienced Professional

Lead DevOps Engineer - Cloud Engineering

Location: London

Service Line: Solutions & Digital

View role

DevOps Engineer - Cloud Engineering

Location: London

Capability: Solutions & Digital

Service line: Solutions & Digital

Experience level: E

Employment type: Full Time



The Team
Joining the growing Cloud Engineering team in our Technology & Engineering Division, the DevOps Engineer is responsible for development operations, server and user administration, and code deployment for KPMG’s back end cloud applications and products

You will be working to continuously advance and standardise our clients infrastructure and deployments, whilst collaborating with colleagues to write infrastructure as code that scales and takes advantage of the technologies used.



The Role


- Help design and build monitoring systems, metrics, internal dashboards, and other tools that allow KPMG clients to become increasingly, scalable, and reliable infrastructure.
- Continue to cultivate a culture of collaboration, innovation and bringing industry standards to everything we do.
- You have a current understanding of public and private cloud services.
- You understand the fundamentals: Cloud Technologies (AWS, Azure, Private), Windows, Linux, Security and Networking.
- Automation and repeatability are at the heart of everything you do.
- Use of any of the following: Python, Nodejs, C#, Cloudformation Templating, Ansible / Salt, Octopus, Team City / Jenkins
- You've built highly scalable, secure, efficient, and resilient systems.
- Ability to continuously learn, work independently, and make decisions with minimal supervision.


What we can offer


- Scale, some of our clients are well known global brands, their infrastructure isn't small.
- A great team environment, inside and outside of the work place.
- Love of technology and learning about even newer technology to help our clients be successful.
- Flexible and considerate working hours.
- Access to regular training opportunities and certification which can include Internal, AWS and Pluralsight.
- Generous pay and benefits such as a subsidised lunch, health care, pension, cycle to work, free day off to celebrate your birthday.
- Excellent relationship with vendors and access to authorities within their field.

Lead DevOps Engineer

Location: Leeds

Capability: Solutions & Digital

Service line: Solutions & Digital

Experience level: C

Employment type: Full Time


The Team

Within KPMG's Technology & Engineering team, the Cloud Engineering mission is to be the best cloud team ever by doing the right thing, using the right tools, failing fast and automating like our lives depend on it.

We operate at genuine scale partnering the big three public cloud providers and have our own private cloud to deliver cutting edge solutions to clients on a global stage. If the public cloud is your future and you’re amazing at solving difficult, interesting and complex challenges and actually writing code, roll up your sleeves then drop us a line and remember to bring cake when you meet us.


You will be working to continuously advance and standardise our clients infrastructure and deployments, whilst collaborating with colleagues to write infrastructure as code that scales and takes advantage of the technologies used.

The Role

• Help design and build monitoring systems, metrics, internal dashboards, and other tools that allow KPMG clients to become increasingly, scalable, and reliable infrastructure.
• Continue to cultivate a culture of collaboration, innovation and bringing industry standards to everything we do.
• You understand the fundamentals: Cloud Technologies (AWS, Azure, Private), Windows, Linux, Security and Networking.
• An ability to automate processes.


The Person

• Cloud Technologies exposure (AWS, Azure, Private), Windows, Linux, Security and Networking.
• You will have used the following - Python, Nodejs, C#, Cloudformation Templating, Ansible / Salt, Octopus, Team City / Jenkins
• You have experience building highly scalable, secure, efficient, and resilient systems.
• Ability to continuously learn, work independently, and make decisions with minimal supervision.
• You like nothing more than to watch colleagues flourish under your guidance.
• You love steering a very willing team to increase performance and efficiency.
• Be a technological cloud advocate to a wider audience inside and outside of the business.


What we can offer
• Scale, some of our clients are well known global brands, their infrastructure isn't small.
• A great team environment, inside and outside of the work place.
• Love of technology and learning about even newer technology to help our clients be successful.
• Flexible and considerate working hours.
• Access to regular training opportunities and certification which can include Internal, AWS and Pluralsight.
• Generous pay and benefits such as a subsidised lunch, health care, pension, cycle to work, free day off to celebrate your birthday.
• Excellent relationship with vendors and access to authorities within their field.



Lead Data Scientist - Senior Manager

Location: London

Capability: Solutions & Digital

Service line: Solutions & Digital

Experience level: B

Employment type: Full Time



The Team

Many of our clients are on a ‘digital transformation journey’ to increase profits whilst reducing reputational, operational, financial and other risks. Our highly specialised Data Science and Engineering team in our KPMG ‘Lighthouse’ uses advanced analytical techniques and industrial scale technology platforms to help our clients accelerate their digital transformation journeys. Typical projects require extracting a variety of data at large scale, drawing deep insights using complex analytical algorithms, and visualising the results to articulate compelling and engaging stories that, in the end, deliver increased value from that data. Our UK team works closely together with data science and engineering teams around the world, supported by our global ‘Ignite platform’, in order to maximise our collective success


• At KPMG, our values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people – their different perspectives, experiences and backgrounds. From our inclusive leadership strategy to our diversity and inclusion targets – we’re making bold changes to who we are and what we do. Be part of it.
• Our Data Scientists support the whole firm on a wide variety of projects, across our Audit, Tax and Advisory business. We are experienced in managing diverse issues including business disruption, process optimisation, resource optimisation, fraud, regulatory compliance, dispute resolution, deriving value from contracts and much more
• Strategy: Lead strategic data science developments across the organisation
• Client related work: A Lead Data Scientist would typically work collaboratively with our business teams and our clients to show the art of the possible and to assess possible value and feasibility of applying data science in order to help solve specific business problems. This could include demoing to prospective clients, developing data strategies, leading feasibility studies, explorative data analysis, delivering minimal viable products or fully fledged projects including putting our models into production either on our own or our client’s environments.
• Asset development: Build data science assets (aka ‘accelerators’), in line with our UK and/or global strategy, to ensure we have the platforms and core assets in place to meet market demand. This could also include supporting our continuous improvement process around our own design and development processes e.g. about how we ensure the high quality that our clients require in an efficient manner.

Roles & Responsibilities

• Lead a team of Data Scientists, focused on the development, training and monitoring of data science solutions that accelerate our clients’ digital journeys.
• Drive client engagements focused on large data sets and applying advanced analytical techniques, in diverse domains such as retail price optimisation, channel management, marketing strategies, customer intelligence, financial crime, risk management, healthcare digitisation, smart grids, etc.
• Monitor performance to ensure models perform as effectively as possible.
• Develop new, or tailor existing, analytical solutions designed for processing large data sets (e.g. using an Hadoop framework) and by applying advanced analytical techniques (e.g. machine learning, neural networks, NLP, A/B testing, etc.)
• Liaise with our advanced Data Engineers in terms of data engineering, model deployment and architecture activities to jointly build solutions that will interoperate seamlessly with other elements of the broader information architecture

The Person
• Well versed at applying advanced analytical techniques to large and varied data sets, generated and flowing at a rapid rate. Sample techniques include, but are not limited to:
o Applied machine learning
o Natural language processing
o Collaborative filtering and recommender systems
o Neural networks (including recurrent, convolutional)
o Event detection and tracking
o Graph Analytics

• Experience with:
o Generating and test working hypotheses, prepare and analyse historical data, identify patterns from samples for reporting of trends and support Predictive Analytics
o Leveraging data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data
o Creating performance metrics and tracking processes to measure the effectiveness of Data Science solutions
o Conceptualising necessary data governance models to support the technical solution and assure the veracity of the data
o Operating within the exploratory and experimental aspects of Data Science, e.g. to tease out interesting and previously unknown insights from vast pools of data
o Working collaboratively with other members of the Data Science and Information Architecture teams to innovate and create compelling data-centric stories and experiences
o Proficient with programming languages used by data scientists and in Big Data platforms, like Python, R, Scala, Spark, Julia, Java.
• Track record in staying conversant in new analytic technologies, architectures and languages – where necessary – for storing, processing and manipulating this type of data
• Demonstrated Data Science leadership skills, e.g. around establishing or growing Data Science teams through recruiting talented individuals, training colleagues, writing proposals and designing and delivering high value propositions
• Persuasive power to communicate with a variety of stakeholders in the organization
• Working with Market Segment Leaders and their account teams, to identify strategic client issues, shape deals which demonstrate business value and work hands-on to lead engagements which leverage AI to solve business problems
• Assist in the full sales cycle, taking a leadership role in the creation of new highly differentiated solutions
• Planning and organisation skills so as to work with a high performance team, handle demanding clients and multitask effectively
Proven skill in working with all stakeholders (internal and external) on a project
Qualifications
• 10+ years of experience in data, data science, data engineering and/or other technology related capabilities
• Ph.D. in Computer Science, Machine Learning, Statistics, Engineering or similar technical field
• A combination of one or more of the following:
o Proficient with programming languages used by data scientists like Python, R, Scala, Julia, Java, C++
o Skills in data engineering technologies like Hadoop, HDFS, Spark, Elasticsearch

We recognise that as individuals, we each have particular needs and that one size doesn’t fit all, when it comes to how, when and where you work. That’s why we’re proud to offer our colleagues agile working options. We believe in putting you at the centre of your career – KPMG will offer the training, development and stimulating work environment to help you get to where your career ambitions are. That’s why we introduced ‘Our Deal’ – it’s our way of saying ‘thank you’ for bringing your best to work. As part of ‘Our Deal’, you’ll benefit from a range of rewards from secondment opportunities and preferential banking services to a day off on your birthday and have open, honest conversations about your career development.

Lead QA Engineer (Manager)

Location: London

Capability: Solutions & Digital

Service line: Solutions & Digital

Experience level: C

Employment type: Full Time



The Team
Technology & Engineering team
help KPMG and hundreds of other organisations around the world to envision and build digital products that empower their employees and serve their customers — all with people, business and technology in mind.
We are human-centred technology advocates, analysts, designers and engineers. Whether we're creating new products or helping a business become more relevant to its customers, people in Technology & Engineering
are creators at heart. We find gaps, develop hypotheses and build beautiful ecosystems, inspiring our clients to push the boundaries of what’s possible. From a junior researcher to the head of development we possess a clear vision of the future and have the
courage to pursue forward-thinking solutions that solve today’s challenges for a better tomorrow.

The Role
You will be embedded in the Product Engineering team and work in multidisciplinary product squads, to carry out comprehensive quality assurance testing for our products.
We are looking for an experienced, innovative and results-oriented Lead QA Engineer with a passion for quality assurance and who constantly strives to drive efficiency without compromising on quality.
You will be obsessed with taking an automation-first approach to the QA process and make use of the latest automation tools and frameworks to build pipelines which support continuous testing.


The Person
You are expected have experience and develop your technical skills within the following areas:
• Programming in languages such C# / Java / JavaScript
• Test automation with tools such as Selenium, Appium, Calabash, Cypress or Protractor
• Building test frameworks for functional UI and API testing
• Building test frameworks for carrying out performance testing
• Building test pipelines using continuous integration tools like Jenkins / TeamCity
• Test containerisation using technologies such as Docker
• Cross platform, cross browser testing using technologies such as BrowserStack
• Agile test management using tools such as Jira and Confluence


Expected role behaviours and team responsibilities:
• Be an advocate for agile practices and for operating mixed capability product squads, promoting a culture where the responsibility for product quality lies with the entire engineering team
• Provide input into shaping the wider Engineering team technology roadmap and ways of working, specifically around driving quality and an automation-first culture
• Effectively negotiate requirements and timescales
• Take technical responsibility for your solutions and manage technical/ delivery risk
• Identify and resolve conflicts between the team members
• Identify right people for tasks and provide learning opportunities
• Performance management and mentoring junior team members


Day to day tasks:
• Design and execute a wide range of functional testing techniques and raise defects
• Design, implement, maintain and enhance functional test automation frameworks for complex products
• Design, implement, maintain and enhance mobile test automation frameworks
• Design performance testing strategy and execute performance testing
• Design and implement accessibility test strategy
• Contribute to security test strategy and apply tooling to uncover defects
• Build a QA technology roadmap for a complex project or product
• Support bids and proposals with technical input and estimation




Lead DevOps Engineer - Cloud Engineering

Location: London

Capability: Solutions & Digital

Service line: Solutions & Digital

Experience level: C

Employment type: Full Time


The Team

The Cloud Engineering mission is to be the best cloud team ever by doing the right thing, using the right tools, failing fast and automating like our lives depend on it.

We operate at genuine scale partnering the big three public cloud providers and have our own private cloud to deliver cutting edge solutions to clients on a global stage. If the public cloud is your future and you’re amazing at solving difficult, interesting and complex challenges and actually writing code, roll up your sleeves then drop us a line and remember to bring cake when you meet us.


You will be working to continuously advance and standardise our clients infrastructure and deployments, whilst collaborating with colleagues to write infrastructure as code that scales and takes advantage of the technologies used.

The Role

• Help design and build monitoring systems, metrics, internal dashboards, and other tools that allow KPMG clients to become increasingly, scalable, and reliable infrastructure.
• Continue to cultivate a culture of collaboration, innovation and bringing industry standards to everything we do.
• You understand the fundamentals: Cloud Technologies (AWS, Azure, Private), Windows, Linux, Security and Networking.
• An ability to automate processes.


The Person

• Cloud Technologies exposure (AWS, Azure, Private), Windows, Linux, Security and Networking.
• You will have used the following - Python, Nodejs, C#, Cloudformation Templating, Ansible / Salt, Octopus, Team City / Jenkins
• You have experience building highly scalable, secure, efficient, and resilient systems.
• Ability to continuously learn, work independently, and make decisions with minimal supervision.
• You like nothing more than to watch colleagues flourish under your guidance.
• You love steering a very willing team to increase performance and efficiency.
• Be a technological cloud advocate to a wider audience inside and outside of the business.


What we can offer
• Scale, some of our clients are well known global brands, their infrastructure isn't small.
• A great team environment, inside and outside of the work place.
• Love of technology and learning about even newer technology to help our clients be successful.
• Flexible and considerate working hours.
• Access to regular training opportunities and certification which can include Internal, AWS and Pluralsight.
• Generous pay and benefits such as a subsidised lunch, health care, pension, cycle to work, free day off to celebrate your birthday.
• Excellent relationship with vendors and access to authorities within their field.



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