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Develop and automate load and performance tests for Guidewire insurance solutions using Grafana k6. Create JavaScript or TypeScript test scripts, execute performance scenarios, analyze results, identify application, infrastructure, and database bottlenecks, and recommend optimization measures. The role also involves working with web protocols, observability tools, CI/CD pipelines, cloud architectures, distributed applications, and potentially TestKube and Guidewire platforms.

Design, develop, support, test, deploy, and evolve data transformation and risk-management product components using .NET, C#, SSIS, SQL Server, Snowflake, and cloud services. Collaborate with risk analysts, solution architects, users, and partners to prepare, integrate, transform, and deliver investment portfolio information. Produce implementation documentation, recommend application improvements, provide post-deployment support, and participate in day and night support rotations.

Designs and evolves DevSecOps capabilities supporting digital, analytics, and AI solution delivery. Responsibilities include building Azure DevOps and AWS solutions, automating development and deployment with Python, TypeScript, and PowerShell, maintaining CI/CD pipelines with quality, security, and compliance controls, improving development tooling and observability, creating reusable self-service templates, and guiding teams on DevSecOps practices. The role collaborates with architecture, cybersecurity, and engineering teams to advance the development platform roadmap.

Coordinate delivery of infrastructure, cybersecurity, and technology transformation projects across their full lifecycle. Develop plans, schedules, resource assignments, status reports, and performance dashboards; manage risks, issues, dependencies, changes, governance, and releases. Engage stakeholders and senior management, facilitate Agile ceremonies, coordinate cross-workstream delivery, and ensure documentation, approvals, and closeout activities meet organizational standards.

As a Python Developer, you'll design robust AI components, lead workshops, gather business requirements, build prototypes, and ensure best practices in a collaborative environment.

Design, develop, and maintain backend services and frontend interfaces, participate in architecture discussions, and enhance development standards within the team.

Manage and harden Linux production environments, monitor performance, apply security patches, and automate operations through scripting and CI/CD integration (Ansible, Jenkins, GitLab CI). Drive version-controlled scripting practices, reduce manual work, and support infrastructure evolution.

Lead digital transformation projects by managing teams, optimizing processes, and supporting product development, ensuring alignment with business goals for sustainability.

The Consultant - Data Engineer will design data models, ensure data integration and security, and implement data lineage for analysis and compliance.

Design, implement and maintain cloud infrastructures, IaC, and CI/CD pipelines to deploy and operate AI models. Automate deployments (blue/green, canary), manage environments and access, configure monitoring/observability, optimize cloud/GPU costs, enforce DevSecOps, and support development teams with MLOps best practices and AI-assisted coding.