Client Information:

The client is a multinational organization operating in a highly dynamic industry, with regional presence across multiple markets. The engagement involves managing complex account relationships, ensuring seamless program delivery, and coordinating with cross-functional teams to support ongoing business operations and strategic initiatives.

Job Summary

The Full-Stack Developer will join a dynamic team supporting a pharmaceutical client's MAPS sub-function. This role is change-heavy (~95% enhancement delivery, ~5% run/maintain) reflecting the platform's significant annual change workload. The developer will work in a 2-week Scrum cadence with Quarterly PI planning, building and maintaining the SLR platform's application, data, and AI/ML layers on a Kubernetes-based container infrastructure.

Contract Details

Required Skills

• Workday Studio – Expert (P4).
• Strong hands-on experience in Workday Integration development.
• Experience working with Workday Studio and other Workday integration types.
• Strong understanding of integration development, testing, deployment, and support.
• Experience with tenant migration and post-go-live support.
• Strong collaboration and communication skills.
• Agile methodology experience is preferred.

Experience Requirements

·      3–5 years of software development experience, with at least 2 years on containerised platforms (Kubernetes preferred).

·      Demonstrated Python development with ML/AI libraries (PyTorch, TensorFlow, scikit-learn or similar).

·      Hands-on PostgreSQL experience: schema design, query writing, index management, performance troubleshooting.

·      PostgreSQL Administration (P2 - Intermediate) certification or equivalent practical experience.

Key Responsibilities

·      Design, develop and deploy features for the SLR platform on a containerised Kubernetes/Rancher infrastructure, following Scrum sprint commitments and Quarterly PI planning cycles.

·      Maintain and extend ML/AI pipelines for automated literature review — includes model integration, pipeline monitoring and output validation.

·      Own PostgreSQL database management: schema design, query optimisation, migrations, performance tuning and connection pool configuration.

·      Maintain and improve GitLab CI/CD pipelines: build automation, test integration, deployment workflows and release management.

·      Monitor application health using Grafana dashboards: configure data sources, alerting rules, panels and SLA-linked performance views.

·      Manage and troubleshoot workloads on RedHat Linux: container lifecycle, log analysis, resource limits and service restarts.

·      Design and implement RESTful microservice APIs connecting the SLR UI, AI/ML processing layer and PostgreSQL data layer.

·      Participate in Jira-based sprint planning, CR estimation, code reviews and sprint retrospectives.

·      Produce and maintain technical documentation covering architecture decisions, API contracts, deployment runbooks and KT materials.

·      Collaborate with the BA (backlog), QA (test cycles), Scrum Master and development teammates to deliver the annual change workload.

Must Have

·      Kubernetes / Rancher — Deploy, configure and troubleshoot containerised workloads on Kubernetes/Rancher clusters.

·      PostgreSQL — primary database. Schema design, query optimisation, migrations and connection pool management.

·      Python (ML / AI) — Develop, maintain and extend ML/AI-driven literature analysis pipelines. Libraries such as PyTorch, TensorFlow or scikit-learn strongly preferred.

·      Experience with AI/ML libraries powering automated systematic literature reviews (SLRs). Strong Python ML background is the entry point.

·      GitLab CI/CD — Own pipeline maintenance, merge request reviews and release automation for build, test and deployment workflows.

·      RedHat Linux — RHEL administration, service management, log analysis and shell scripting.

Interested Please share your resume

sahana.doddamani@adeccogroup.com