Senior Full Stack Engineer
Role based in Barcelona - 3 days at the office and 2 days at home.
At AstraZeneca, we're not just about creating life-changing medicines; we're about creating a culture of innovation and collaboration. We have taken on an ambitious goal of revolutionizing antibody discovery at AstraZeneca by significantly reducing the time it takes to discover a clinical candidate using world-class technology and advanced data & AI capabilities. To support this initiative, we are building Augmented Biologics Discovery Platform within the R&D IT. We're looking for a Senior Full Stack Engineer who design and implement scalable full stack AI solutions in cloud. If you're someone who can design and implement end-to-end software solutions meeting scientists’ requirements working within a globally distributed team, then this is the role for you!
In this role you will join a global team of software, data, and MLOps engineers, architects, BAs, PMs, in our Augmented Biologics Platform to support biologics and antibody drug discovery as a Senior Full Stack Engineer. The following will form part of the role:
Working with cutting edge technology stack in a cloud environment
Responsible for designing and implementing software and data solutions to make our science easier to do, easier to learn from, and offer faster delivery and higher quality across all therapeutic areas.
Delivering production-grade applicationssupporting AI/ML technologies
Design and build novel products and features to address long-standing problems in drug discovery with a focus on producing amazing user experiences that are more than the sum of their parts.
Collaborate with product, design, data science, and our scientific teams to build cutting-edge experiences and services
Propose and implement changes to our data models, core architecture, and codebase
Develop all levels of the technical stack even if you’re more experienced in some layers
Advocate and advance modern, agile software development practices and help develop and evangelize a vibrant software engineering culture
Plan, implement and support core infrastructure with an overall objective to improve the scalability, reliability, performance, and availability
Advocate for rigorous engineering practices and discipline: code reviews, automated testing, logging, monitoring, alerting, etc.
Passionate to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
Propose solutions for engineering problems deploying critical thinking and analysis skills
The role requires senior level technical skills, and we consider the below essential capabilities:
Experience in designing end-to-end full stack software in cloud
Deep expertise in Java and Python. Additionally, expertise in other programming languages like C++, Node.js will be advantageous
Experience in at least one major web development framework from Spring, Flask, Django, and beyond
Strong front end skills with one of the major font end frameworks from React, Angular or Vue.js .
Additional front-end skills in CSS as well as some related CSS framework like Bootstrap
Experience working with relational and/or NoSQL databases and knowledge of query optimization techniques
Proficiency in Linux environments
Demonstrable high proficiency in data structures and design patterns, as well as associated antipatterns. Be able to defend, compare, and contrast these decisions
Demonstrable abilities with the coding best practices including testing, code review, and version control
CI/CD experience with some automation tooling like Jenkins, TravisCI, Github actions, etc.
Experience of data analysis – profiling, investigating, interpreting, and documenting data structures,
Excellent teamworking, verbal, and written communication skills
Experience with Docker and Kubernetes
The following skills would be advantageous for your application but are not considered essential:
Familiarity with Computational Biology/ Bioinformatics concepts
Basic understanding of Machine Learning concepts and MLOps
Experience in microservice architecture
Experience with message queuing (RabbitMQ, SQS, etc.)
Experience with GitOps for Kubernetes
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.
