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• Owning the security of the application code, dependencies, APIs, and development lifecycle behind Canvas, Mastery, and Parchment products
• Forming a defensible view of how much risk something actually carries, driving that risk down, and handing whatever remains to the risk management program

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications, using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Evaluating the technical requirements of the projects
• Proposing optimal solutions synchronized with the schedule that are in accord with the Head of CG, Department Leads and Production Manager to realize the Director’s vision

Implementing and maintaining large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals...

Designing, building, reviewing, testing, and maintaining Ruby on Rails features and services in line with Diligent’s agile engineering practices...

• Developing and customizing Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services (Logic Apps, Functions) as part of a modern cloud architecture

• Developing, customizing, and maintaining ServiceNow applications, modules, and integrations
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions

• Assisting in the smooth running of the production
• Working with and supporting Production Coordinators, Production Managers and Head of Production
• Taking notes in production meetings and distributing reports to the appropriate people
• Operating equipment for viewing tests and dailies

• Designing, implementing, and managing Azure cloud infrastructure to support Databricks and data platform workloads
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

Undertaking and managing designated end-to-end projects on a regular basis, such as event planning, organizing both internal and external meetings for local Medison team and participation in coordination with stakeholders for execution of National Congresses, Local Own Events and advisory boards...

• Driving designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and building CI/CD pipelines
• Leading migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS

• Handling office coordinator tasks
• Organizing office tasks
• Writing documents
• Maintaining spreadsheets and entering data into internal office and human resources software
• Supporting payroll administration
• Managing office petty cash
• Liaising with office vendors

• Developing and administering human resources plans and procedures
• Maintaining a communication channel between senior management and team members
• Planning, monitoring and appraising employee performance
• Continuously engaging in communication with all team members

• Conducting in-depth assessments with clients to understand their business and technical needs
• Analyzing client requirements and proposing feasible technical solutions based on them
• Identifying client challenges and goals, recommending effective solutions, and building client trust

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

Partnering with engineering teams to identify the highest-leverage AI opportunities in the developer workflow: from code generation and review to testing, debugging, and internal tooling...

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments