What the role is:
What you will be working on:
This position sits with the Suptech, Surveillance & Analytics (SSA) team.
We are looking for a seasoned Full Stack Developer to drive the technical direction of our engineering team and help shape scalable, maintainable, and secure applications. Depending on the level of seniority and experience, this can be a Team lead role.
The ideal candidate will bring deep expertise in software architecture, data ingestion pipelines, and modern full stack development practices, with a strong preference for experience in cloud-native technologies. The candidate is not expected to be an expert in every facet but must be T shaped, with at least one strong vertical and sufficient breadth across the technology domain.
Key Responsibilities
Architect and build scalable applications and services, with clean, modular code.
Design and implement robust data ingestion pipelines capable of processing large-scale datasets.
Own the full software development lifecycle—from concept and design to testing and deployment.
Collaborate cross-functionally with product managers, designers, and other stakeholders to define requirements and technical solutions.
Promote software engineering best practices including CI/CD, automated testing, and DevSecOps principles.
Provide technical leadership in leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-code.
Perform code reviews and foster a culture of continuous improvement and knowledge sharing.
Design and implement scalable, reliable, and efficient data ingestion pipelines for various data types—structured, semi-structured (e.g., JSON, XML), and unstructured (e.g., PDFs, text).
Build and maintain ETL/ELT processes to support analytics and operational use cases.
What we are looking for:
10+ years of experience in full stack development (backend and frontend technologies).
Proven experience in software architecture and systems design, especially in scalable, distributed systems.
Solid experience building data ingestion pipelines (e.g., using Kafka, Airflow, Spark, or similar).
Proficiency with at least one modern backend language (e.g., Python, Node.js, Java) and frontend frameworks (e.g., React, Angular, or Vue).
Strong understanding of cloud platforms (preferably AWS, but Azure or GCP acceptable).
Familiarity with containerization and orchestration (Docker, Kubernetes).
Excellent communication, leadership, and problem-solving skills.
Solid understanding of data modeling, schema design, and performance optimization.
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
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