Senior Software Engineer, Tools, Automation and AI

Responsibilities

• Partner with SW Product Managers, Architects, R&D, QA, and TPMs to understand workflows, difficulties, information needs, and opportunities for improvement and automation.
• Analyze existing ways of working and translate organizational needs into well-defined processes, flows, functional requirements, data models, and technical designs.
• Design, develop, and deploy tools and automation supporting the end-to-end SW lifecycle — from feature/POR definition and development through validation, release, and ongoing maintenance.
• Apply AI technologies hands-on to solve engineering and operational challenges, selecting the appropriate models, frameworks, agents, architectures, and tools for each problem.
• Develop AI-enabled applications and workflows that help users find and synthesize information, interact with engineering data, identify risks and inconsistencies, automate repetitive activities, and support better and faster decision-making. Use AI coding agents and modern AI development environments extensively to…
• Develop and customize solutions around platforms such as Jira and other engineering systems, including workflows, automation, integrations, and reporting.
• Build web-based tools and interactive applications that consolidate information from multiple engineering tools, databases, and APIs into coherent and actionable views.
• Develop dashboards and analytics for monitoring features, bugs, releases, milestones, dependencies, risks, execution status, and other key engineering and program indicators. Automate recurring workflows and reporting, reducing manual work while improving data quality, consistency, traceability, and visibility.
• Own solutions end-to-end — from problem discovery and requirements definition through architecture, implementation, testing, deployment, documentation, adoption, and continuous improvement.
• What we need to see

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