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Remote DevOps Engineer

London
£30000 - £90000 per annum + Equity

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REMOTE DEVOPS ENGINEER - AWS, Kubernetes, Terraform

OPEN SALARY

I'm currently working with a prestigious and well-funded tech-driven who are the leading player in their field. Their focus is on making niche and specialised data areas more efficient, more structured and more dynamic for their extensive customer base. They are looking for a highly-skilled Junior DevOps Engineer to come and be a core of the team, offering next-generational technologies and fast career progression.

THE COMPANY

Arguably the client are one of the most skilled start-ups in Europe. One of their founders is recognised as a leader in streaming with numerous publications to his name, while another has built two platforms from scratch as well as developing and enhancing numerous unicorn start-ups. All their team are experts in their field, having come from either world leading universities or heavy weight companies. This indepth brilliance means they are highly renowned, and although they are all remote based they have an excellent professional culture.

They are looking for a Junior/Mid level DevOps Engineer who comes from a leading university or highly recognised tech company who is skilled, ambitious and a fast-learner. The salary is open, and they are more than happy to pay well above market rates for the right person.

THE ROLE

In this DevOps role you will be:

  • Managing their infrastructure immediately
  • Building out and enhancing their AWS cloud platform
  • Focusing on automation
  • Working on building out CI/CD pipelines
  • Hands on with containerization and orchestration

THE REQUIREMENTS

To be considered for this role you will need:

  • A degree from a leading university OR a background working for a industry renowned business
  • Past exposure as a DevOps Engineer in a commercial setting, ideally from a Software background
  • Strong understanding of AWS
  • Excellent infrastructure skills
  • Familiar with containerisation

THE BENEFITS

  • Remote DevOps role
  • Working in a highly skilled team
  • Cutting edge technologies
  • Open salary - they will pay well above typical market levels for the right person
  • Equity

Please register your interest by sending your CV to Will Thomson via the Apply Link on this page. (The company have outlined a fully remote on-boarding policy in place).

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15782WT
London
£30000 - £90000 per annum + Equity
  1. Permanent
  2. Software Engineer

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Using Data Ethically To Guide Digital Transformation

Over the past few years, the uptick in the number of companies putting more budget behind digital transformation has been significant. However, since the start of 2020 and the outbreak of the coronavirus pandemic, this number has accelerated on an unprecedented scale. Companies have been forced to re-evaluate  their systems and services to make them more efficient, effective and financially viable in order to stay competitive in this time of crisis. These changes help to support internal operational agility and learn about customers' needs and wants to create a much more personalised customer experience.  However, despite the vast amount of good these systems can do for companies' offerings, a lot of them, such as AI and machine learning, are inherently data driven. Therefore, these systems run a high risk of breaching ethical conducts, such as privacy and security leaks or serious issues with bias, if not created, developed and managed properly.  So, what can businesses do to ensure their digital transformation efforts are implemented in the most ethical way possible? Implement ways to reduce bias From Twitter opting to show a white person in a photo instead of a black person, soap dispensers not recognising black hands and women being perpetually rejected for financial loans; digital transformation tools, such as AI, have proven over the years to be inherently biased.  Of course, a computer cannot be decisive about gender or race, this problem of inequality from computer algorithms stems from the humans behind the screen. Despite the advancements made with Diversity and Inclusion efforts across all industries, Data & Analytics is still a predominantly white and male industry. Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. Nevertheless, this still hasn’t stopped all businesses from collecting or sharing data illegally, which in turn, has damaged the trustworthiness of even the most law-abiding businesses who need to collect relevant consumer data.  Transparency is key to successful data collection for digital transformation. Your priority should be to always think about the end user and the impact poorly managed data may have on them. Explain methods for data collection clearly, ensure you can provide a clear end-to-end map of how their data is being used and always follow the law in order to keep your consumers, current and potential, safe from harm.  Make sure there is a process for accountability  Digital tools are usually brought in to replace a human being with qualifications and a wealth of experience. If this human being were to make a mistake in their line of work, then they would be held accountable and appropriate action would be taken. This process would then restore trust between business and consumer and things would carry on as usual.  But what happens if a machine makes an error, who is accountable?  Unfortunately, it has been the case that businesses choose to implement digital transformation tools in order to avoid corporate responsibility. This attitude will only cause, potentially lethal, harm to a business's reputation.  If you choose to implement digital tools, ensure you have a valid process for accountability which creates trust between yourself and your consumers and is representative of and fair to every group in society you’re potentially addressing.  Businesses must be aware of the potential ethical risks that come with badly managed digital transformation and the effects this may have on their brands reputation. Before implementing any technology, ensure you can, and will, do so in a transparent, trustworthy, fair, representative and law-abiding way.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

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Last week, Peter Schroeter and Ryan Collins, head of DevSecOps at Upvest, and co-founder of RapidGroup, discussed how to keep Data secure while working flexibly.  Ryan brings to the table 12 years of experience from Server Administrator to CTO roles as well as experience as a Contractor. And as a business owner himself, he sees where the shortage falls and perhaps a way to fill the gap. Security is in the Spotlight Security is a priority for many businesses today. Avoiding negative PR has caused an internal shift in which companies take more care with their Data. There is also a Catch-22. In order to provide higher levels of security, businesses are slowing down their developers and software engineers, and taking more engineering time which in turn costs more money. Security before cost is becoming the new reality. The contradiction of deployment, project run time, and budgets are only part of the bigger picture. Compromise is key and follow these three tenets. 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