Senior Systems Engineer, TIO 

 

 

Would you like to be part of a production engineering team that builds & maintains our cloud services? 

 

Are you motivated by seeing how your work makes a difference to product delivery and customer outcomes?  

 

 

Join a team that embraces technology 

 

We are a growing, global team of 2000 entrepreneurial digital technologists. Collaborating in small agile teams, we have the freedom to leverage the latest technologies to build digital solutions. We create products that help scientists make breakthroughs and health professionals impact lives. 

 

Build and maintain cloud infrastructure at a global scale 

 

As a Senior Systems Engineer working in our global infrastructure group, you will be responsible for building and supporting products across our Life Sciences portfolio. We have a mission to improve the developer experience, enabling product squads to deliver quality software to customers easily and quickly. 

 

Responsibilities: 

 

Maintaining and improving Elsevier’s products within agreed reliability objectives, whilst enabling the fast flow of feature updates. Designing, building, and maintaining cost effective cloud environments as part of a product delivery team. Contributing to common tools and modules which allows product delivery teams to move at pace across the full breath of the SDLC. Supporting the on-boarding of products onto container platforms by working collaboratively with core engineering teams. Debugging production issues across all levels of the stack. Participate in an on-call rotation and embrace a blameless culture to prevent incidents from ever happening. Providing engineering support across the portfolio, including the practical improvements on reliability, scalability, performance, and the security posture of products. Seeking out and eliminating toil, so that you can focus more time on project work and lasting improvements.  

 

Requirements: 

 

You are an innovative, passionate engineer who likes solving problems at scale, has a keen eye for automation and efficiency.  Enjoy developing relationships with engineering teams and value collaboration and knowledge sharing to build technical expertise and community. Can design and build CI/CD pipelines. You aim to make the deployment process as fast and boring as possible. Know how to design distributed systems that scale using AWS, Linux and Kubernetes, ensuring applications are highly available and secure.  Have a good understanding of how tools like New Relic can help with determining the root cause of product performance issues. Are happy in moving across the stack - from development to infrastructure operations. You have advanced skills in AWS, Linux, Puppet, Jenkins, Docker, Kubernetes, Terraform and GitHub. Have a passion eliminating toil, through automation and ‘Infrastructure as Code’   

Work in a way that works for you 

 

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. 

 

   

Working for you: 

 

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 

 

Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity and shared parental leave Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts via Perks at Work

About the Business

Elsevier is one of the world’s leading publishers of trusted scientific, technology, and medical content. Building on that foundation of content, we leverage data science and AI to deliver knowledge and analytics products that advance science and improve healthcare outcomes. Therefore, an efficient, streamlined, and optimized data science development process is key to sustaining innovation and business growth, especially with the opportunities ahead with GenAI. Elsevier is committed to adhere to our RELX Responsible AI Principles, for the development and deployment of all of our AI solutions.

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