Full Stack Engineer

AstraZeneca GmbH; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

AstraZeneca invites engineers to help build a cloud-native platform accelerating antibody discovery. You will join a global team of software, data, and MLOps engineers, scientists, and product leaders to design end-to-end solutions used by researchers daily.

Work alongside product and design to deliver scalable services, data products, and user journeys in the cloud. This role emphasizes modern engineering, testing, and collaboration across disciplines.

Qualifications

• Experience in designing end-to-end full stack software in cloud.
• Deep expertise in Java and Python; knowledge of C++, Node.js is a plus.
• Experience with Spring, Flask, Django or equivalent web frameworks.
• Strong front-end skills with React/Angular/Vue.js; CSS and CSS frameworks like Bootstrap.
• Experience with relational and/or NoSQL databases and query optimization.
• Proficiency in Linux environments.
• Strong understanding of data structures, design patterns, and anti-patterns.
• Ability to practice coding best practices including testing, code reviews, and version control.
• CI/CD experience with automation tools like Jenkins, TravisCI, Github actions, etc.
• Experience in data analysis – profiling, investigating, interpreting data structures.
• Excellent teamwork, communication skills.
• Experience with Docker and Kubernetes.

Responsibilities

• Full-Stack Solution Design: design and implement scalable cloud-native applications meeting scientists’ requirements end to end.
• AI/ML Data Products: deliver production-grade data products enabling AI/ML in discovery.
• Product and UX Innovation: build features addressing drug discovery problems with seamless experiences.
• Cross-Functional Collaboration: work with product, design, data science, and scientists to build services.
• Architecture and Data Models: propose changes to data models and core architecture to improve quality and velocity.
• Full-Stack Delivery: contribute across all stack layers to move the product forward.
• Agile Ways of Working: promote modern agile software practices.
• Platform Reliability: plan and support core infrastructure to improve scalability and availability.
• Engineering Excellence: enforce code reviews, automated testing, logging, monitoring, alerting.
• Learning and Mentorship: stay updated and mentor peers.
• Critical Problem Solving: apply structured analysis to robust solutions.

Skills

Java

Python

C++

Node.js

Spring

Flask

Django

React

Angular

Vue.js

CSS

SQL

NoSQL

Linux

Data structures

Design patterns

Testing

Code reviews

CI/CD

Docker

Kubernetes

Git

Cloud-native

Tools

Docker

Kubernetes

CI/CD tooling

Job description

GCL: D2Introduction to role:

Are you ready to build cloud-native products that accelerate antibody discovery and help bring medicines to patients faster! Join us to turn advanced data and AI into real-world impact by designing end-to-end solutions scientists love to use.

You will be part of a global, high-calibre team of software, data, and MLOps engineers, architects, product leaders, and scientists building an Augmented Biologics Discovery Platform. You will shape the experience and the architecture, turning complex scientific workflows into intuitive, production-grade software that shortens the path from idea to clinical candidate.

Working side by side with product, design and scientific users, you will create scalable services, data products and applications in the cloud. How would you design a cohesive, delightful experience that researchers choose every day because it makes their work faster, clearer and more insightful?

Accountabilities:

• Full-Stack Solution Design: Own the design and implementation of scalable, cloud-native applications that meet scientists’ requirements end to end.
• AI/ML Data Products: Deliver production-grade data products that enable and accelerate AI/ML use cases in discovery.
• Product and UX Innovation: Build novel features that solve long-standing drug discovery problems with experiences that feel seamless and unified.
• Cross-Functional Collaboration: Work closely with product, design, data science, and scientific teams to build cutting-edge services and user journeys.
• Architecture and Data Models: Propose and implement changes to data models, core architecture, and the codebase to improve quality and velocity.
• Full-Stack Delivery: Contribute across all layers of the stack, even where you are less experienced, to move the product forward.
• Agile Ways of Working: Advance modern, agile software practices and help foster a vibrant engineering culture.
• Platform Reliability: Plan, implement and support core infrastructure to improve scalability, reliability, performance, and availability.
• Engineering Excellence: Champion rigorous practices including code reviews, automated testing, logging, monitoring, and alerting.
• Learning and Mentorship: Stay on top of tech trends, experiment, engage with internal and external communities, and mentor peers.
• Critical Problem Solving: Apply structured analysis and sound judgment to propose robust solutions to engineering challenges.

Essential Skills/Experience:

• 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 front 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

Desirable Skills/Experience:

• 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

Why AstraZeneca:

Here you will join a fast-moving, digitally savvy community that blends bold ambition with genuine support. We work in unexpected combinations—scientists, engineers, designers and product leaders in the same room—turning ideas into working software that changes how decisions are made across discovery. You will apply modern engineering, data and design thinking to real problems, see your work used at global scale, and feel its impact on patients. We back curiosity with ownership, value kindness alongside ambition, and give you the space to move quickly while doing things the right way.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Date Posted

07-Sept-2026

Closing Date

20-Sept-2026

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 authorization and employment eligibility verification requirements.