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 applications supporting 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