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• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Setting and owning the ICAP product vision and roadmap including strategic evolution into a Proxy-focused solution
• Translating market signals, customer needs, and competitive insights into clear product direction and prioritized investments

• Analyze business processes and identify opportunities for automation and workflow optimization.
• Gather requirements from stakeholders and translate business needs into automation solutions.
• Develop, test, implement, and maintain automation workflows, scripts, and bots using appropriate technologies.

• Industrialize AI-assisted engineering workflows for Meridian
• Package repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• Building inhouse AI & ML Solutions: Realization of in-house AI and machine learning solutions to drive business value.
• Conceptualization & Architecture: Elaboration of technical concepts for AI and machine learning solutions based on specific business requirements and issues.

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Investigation and resolution of problems across complete camera pipeline from hardware interfaces and Linux kernel drivers through Android and multimedia frameworks
• Contribution to a unified camera technology platform powering multiple product families
• Analysis of kernel logs and driver behavior

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Management and coordination of industrialization projects
• Identification and mitigation of risks related to industrialization processes

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Ownership of product strategy and roadmap
• Driving customer adoption and engagement
• Conducting competitive analysis and market research
• Defining and evolving product positioning and messaging
• Collaboration with engineering, UX, and QA teams

• Lead the business side of strategic, cross-functional digitalisation initiatives – from initial requirements through implementation and adoption
• Take a key role in implementing OQEMA's future pricing solution as your first major project

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Own scope, budget, and timeline for a portfolio of software and agent engineering projects, from baseline to go-live.
• Baseline every project properly: person-day estimates, milestones, dependencies, and a live risk log in Jira, Confluence, and Forecast.

• Design and implement security controls across identity, data, and network
• Work on workload security including container security, serverless security, IaC scanning
• Integrate security into the delivery pipeline including static and dynamic testing, container image scanning, supply chain security

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Ownership of vision, strategy, and roadmap for Aether across cloud, on-premises, and community
• Ownership of pricing and packaging including tiers and price ladder across deployment models