We are on a mission to build a comprehensive, easy to use shared search platform underpinning all of Elsevier’s data and products in the business. Within the data platform, the shared search team operates at the intersection of data engineering, infrastructure and developer efficiency, with a mission to make every other engineering team go fast.
We develop and maintain the infrastructure, baseline services, and shared data and developer centric functionality for other teams to build on top of. Some of our recent work has included a Kafka topic/schema management layer; a distributed event observability/tracing system; and a storage management layer for datasets.
We’re looking for an innovative, passionate engineer who likes solving problems at scale, has a keen eye for automation and efficiency and considers infrastructure just another dimension of software engineering in general.
You will be:
About you:
Big Plus:
About Elsevier:
Elsevier is a global information analytics company that helps professionals and institutions to realize the potential of information to improve academic, corporate, and clinical performance, expand human knowledge, and generate positive—often groundbreaking—outcomes in critical domains of human endeavor.
We’re a global company with direct colleagues in all regions of the world. We are expanding our capabilities and offer a stimulating environment, enabling bright, passionate people to do their best work.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact [email protected] or if you are based in the US you may also contact us on 1.855.833.5120.
–
Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact [email protected] or if you are based in the US you may also contact us on 1.855.833.5120.
Please read our Candidate Privacy Policy
Full Job DescriptionJunior Java Developer
We are on a mission to build a comprehensive, easy to use shared search platform underpinning all of Elsevier’s data and products in the business. Within the data platform, the shared search team operates at the intersection of data engineering, infrastructure and developer efficiency, with a mission to make every other engineering team go fast.
We develop and maintain the infrastructure, baseline services, and shared data and developer centric functionality for other teams to build on top of. Some of our recent work has included a Kafka topic/schema management layer; a distributed event observability/tracing system; and a storage management layer for datasets.
We’re looking for an innovative, passionate engineer who likes solving problems at scale, has a keen eye for automation and efficiency and considers infrastructure just another dimension of software engineering in general.
You will be:
Building our shared search platform.Building our world class search system, levelling up users’ search experience.Automating everything we can so other teams don’t have to.Collaborating on new ideas for optimizing both systems and engineering workflows so that experiments are cheap and fast.Building relationships with other engineering teams to identify their pain points and come up with ideas to solve those – we are self-organized and drive things ourselves. Drive and passion are welcome here.Moving across the stack – from development to infrastructure, we have a varied list and we touch it all. Elasticsearch for our search engine, Jenkins and puppet for CI/CD, Kafka for streaming, Docker and Kubernetes to run our (and other engineers’) services.
About you:
You know how to write production ready code. We use AWS but are happy if you have experience with either GCP or Azure instead.You have previous experience in Java and are interested in picking up reactYou have packaged software using Docker. Bonus points if you’ve used Kubernetes before.Experience with CI/CD and infrastructure as code.You view devops as a mindset, not a role. We work under the motto “we write it, we run it” and are happy to roll our sleeves up and get stuck in infrastructure work. So do you.You have a passion for creating high quality, testable code. We write and design our own tests. Things we don’t test, we measure, and if there are problems we go in, investigate them and fix them.You leave your ego at the door. We like pairing with and learning from each other and we make decisions together as a team. Great ideas can – and do – come from anywhere and anyone.
Big Plus:
You are familiar with Lucene, or have any experience with elasticsearch, solr or any other search engine.
About Elsevier:
Elsevier is a global information analytics company that helps professionals and institutions to realize the potential of information to improve academic, corporate, and clinical performance, expand human knowledge, and generate positive—often groundbreaking—outcomes in critical domains of human endeavor.
We’re a global company with direct colleagues in all regions of the world. We are expanding our capabilities and offer a stimulating environment, enabling bright, passionate people to do their best work.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact [email protected] or if you are based in the US you may also contact us on 1.855.833.5120.
–
Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact [email protected] or if you are based in the US you may also contact us on 1.855.833.5120.
Please read our Candidate Privacy Policy