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“DevOps is not a goal, but a never-ending process of continual improvements” so say’s industry leaders, do you agree?
Come and join our emagine family as an emagineer, where you'll work closely with the software development team as a Senior DevOps Engineer.
As a Senior DevOps Engineer, you’ll work within the software development team, supporting them on the early stages of a Greenfield project that involves advanced monitoring, machine learning and predictive analysis software for the financial services sector. Our UK office is relatively new, and so the ability to develop and be creative with new products is what makes this role unique. Your role will involve development, system administration, quality assurance and support. You will join the project from the outset and have an opportunity to significantly influence the project architecture. This is a genuine opportunity to be a part of a team that is dedicated to achieving success, through working on a project that is innovative, inspiring and rare to the market.
We are happy to consider candidates who may have previously worked within DevOps, Systems Administration, software development or automation testing environments with some exposure to relevant technologies. You’ll ideally be educated to Degree level or demonstrable commercial experience in an IT Operations.
In your role as Senior DevOps Engineer you will:
Build our next generation containerised architecture Assist the software development team with ad-hoc optimisation and refactoring Methodically follow an agile process with Scrum Carry out Elastic Stack administration and optimization along with Software packaging, quality assurance, testing and Linux system administration, automation and scripting.SecOps
To be successfully considered for this unique and exciting opportunity you will:
Have strong knowledge of UNIX and Open Source along with Programming in C++ or Golang
Have an In-depth understanding of infrastructure code tooling, preferably Puppet or Terraform Possess excellent Linux system administration experience Have a natural passion for building state of the art infrastructure Be positive, constructive along with methodical approach with an emphasis on collaboration and execution Have experience with solutions such as: elastic stack, Redhat, Centos or Fedora, Kubernetes, GlusterFS Scripting skills in Bash, Perl and/or Python NoSQL databases. Source control with Git RPM creation Jenkins expertise, and experience with Job DSL & Jenkinsfiles. Docker and containerisation
What you’ll get in return:
A commitment to an accelerated: career pathway, development, and learning To work in an established brand with a startup mentality Excellent salary, exceptional benefits package Recognition programmes Growth within a diverse and global environment
About us:
emagine Consulting is an independent professional services consultancy with 30 years of experience specialising in the banking and financial services industry. We partner with our clients to meet their business initiatives both in the immediate and long-term. We achieve this by leveraging our expert and proprietary industry knowledge, coupled up with an extensive understanding of their business needs to drive the right solution for our clients. With our practice-based organisational structure, combined with our agile delivery model, we are able to successfully deliver highly complex, cross-region programmes/projects for our clients.
Our core values:
At emagine Consulting, we consistently strive to deliver high standards and best practice to our clients, colleagues, and consultants. Whilst we have had many successes, we aim not to dwell on them; instead, our agenda and approach are to always seek to improve on our past successes and to better ourselves. Our five core values, internally known as "the 5C's" assist us in making sure that we remain consistent across all functions, departments, and sectors.
Our 5 core values are as follows:
· Caring - we are attentive, we listen and learn from each other
· Committed - we are committed to delivering results
· Courageous - we dare to explore new realms of possibility
· Collaborative - we trust each other and work as a reliable team
· Creative - we think outside the box, with expertise and imagination
To be considered for this opportunity, you will already have the legal right to live and work in the UK.
“emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.”
Seldon is looking for a Software Engineer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. We also contribute to open source projects under the Kubeflow umbrella including KFServing.
About the role Design and build scalable machine learning solutions on top of the open source and enterprise Seldon products. Working on bring the Explainable AI and ML Monitoring available in the Alibi projects into the enterprise products for general use.
Essential skills A degree or higher level academic background in a scientific or engineering subject. Familiarity with linux based development. At least 2 years of experience in industry or academia showing completed projects.
Core skills (The role will be focused on these skills so we would expect existing experience or a demonstrable desire to learn these) Experience with GoLang and Python Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Bonus skills (Any of these will be of great interest to us) A broad understanding of data science and machine learning. Understanding of explainable AI or machine learning monitoring in production Familiarity with Kubeflow, MLFlow or Sagemaker Familiarity with python tools for data science
About our tech stack Some of our high profile technical projects: We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem We built and maintain the black box model explainability tool Alibi We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving We run the largest Tensorflow meetup in London And much more 🚀
Some of the technologies we use in our day-to-day: Go is our primary language for all-things backend infrastructure including our Kubernetes Operator, and our new GoLang Microservice Orchestrator) Python is our primary language for machine learning, and powers our most popular Seldon Core Microservices wrapper, as well as our Explainability Toolbox Alibi We leverage the Elastic Stack to provide full data provenance on inputs and outputs for thousands of models in production clusters Metrics from our models collected using Prometheus, with custom Grafana integrations for visualisation and monitoring Our primary service mesh backend leverages the Envoy Proxy, fully integrated with Istio, but also with an option for Ambassador We leverage gRPC protobufs to standardise our schemas and reach unprecedented processing speeds through complex inference graphs We use React.js for our all our enterprise user products and interfaces Kubernetes and Docker to schedule and run all of our core cloud native technology stack
Benefits Share options to align you with the long-term success of the company. Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth. Access to discounted lunches, gyms, shopping and cinema tickets. Healthcare benefits. Cycle To Work Scheme.
Logistics Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we won’t make you write code on one. Our recruitment process has an average length of 3 weeks.