Python – modern backend development, AI/ML integration, data pipelines, automation scripting, and rapid prototyping of replacement services; required across all three roles
JavaScript / TypeScript – full-stack capability for modern service development, API layers, and Node.js tooling
JSON – schema design, API contracts, configuration-as-code, LLM function calling specifications, structured data interchange
Markdown – documentation-as-code: ADRs, AI constitutions, specification documents, runbooks
Docker / Kubernetes (EKS) – containerised deployment and orchestration; Helm charts and CI/CD pipelines (Jenkins / GitLab)
Database engineering – SQL Server, Oracle RDS, and modern alternatives (PostgreSQL, columnar stores such as ClickHouse); stored procedures, query optimisation, and schema migration
Data modelling & analysis – designing data schemas for the replacement platform; understanding costing WBS trees, commodities, elements, and financial factors; data quality frameworks and analytical pipelines
GitHub Copilot and Claude Code – AI-first development as the default working mode, not an optional add-on
LLM integration – using AI models to replace rigid business logic with intelligent, adaptable solutions
API-first design – RESTful, GraphQL, and event-driven patterns for loosely-coupled architectures
Design and build next-generation backend services using modern Python / TypeScript stacks with LLM-augmented business logic
Own database architecture redesign – migrating from Oracle RDS / MSSQL to modern schemas (PostgreSQL, event stores) that are AI-queryable and analytics-ready
Build data quality frameworks and validation pipelines that ensure AI systems work from reliable, well-structured data
Replace rigid Saga / Orchestrator chains with AI-driven workflow engines and simpler event-driven patterns
Develop LLM-powered solutions to replace hard-coded costing rules, financial calculations, and allocation logic
Operate in the Intent Generate Verify Decide Document loop, owning decisions on irreversible, money-touching, or outward-facing logic
Build migration pathways (strangler fig, parallel running) to transition from legacy to modern architecture without service disruption
Performance tuning and observability using Grafana, Kibana, and the ELK stack
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
