Full Stack Developer

About Accenture Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Key Responsibilities Design, develop and deploy features for the KiaKia SLR platform on CaaS (Kubernetes/Rancher), following Scrum sprint commitments and Quarterly PI planning cycles. Maintain and extend LaserAI-powered ML/AI pipelines for automated literature review — includes model integration, pipeline monitoring and output validation. Full KT from outgoing FTCs during onboarding. 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 / CaaS: 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 30 transferable FTC teammates to deliver the 334-CR annual change workload. Technical Skills Must Have (non-negotiable for day-1 effectiveness): CaaS / Kubernetes / Rancher — KiaKia runs entirely on container platform. 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) — LaserAI is built on Python. Develop, maintain and extend ML/AI-driven literature analysis pipelines. Libraries such as PyTorch, TensorFlow or scikit-learn strongly preferred. LaserAI — AI/ML library powering automated SLRs. Candidates are not expected to have prior exposure; strong Python ML background is the entry point. Full KT delivered by outgoing FTCs during onboarding. GitLab CI/CD — all KiaKia build, test and deployment pipelines run on GitLab. Own pipeline maintenance, merge request reviews and release automation. RedHat Linux — underlying OS for CaaS nodes. RHEL administration, service management, log analysis and shell scripting. Strong (expected within first sprint): Grafana — configure monitoring panels, data sources and alerting rules for KiaKia application health. REST API / Microservices — design and implement RESTful APIs connecting the SLR UI, AI/ML and data layers. Good to Have (advantageous; learnable on the job): Java or Go (secondary backend language — confirmed after KT with outgoing FTCs) Jira / Agile tooling — all CRs managed in Jira; sprint planning and PI participation Docker / containerisation — image builds and local dev environment SQL Server / MySQL awareness for integration with adjacent MAPS apps 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. Practical CI/CD experience on GitLab (or GitHub Actions / Jenkins — GitLab preferred). Linux administration experience (RedHat / CentOS / Ubuntu) — comfortable with command line, service management and log analysis. Agile/Scrum delivery experience — sprint planning, retrospectives, story point estimation. Pharmaceutical, life sciences or regulated industry experience is advantageous, not mandatory.