Phd hellas ci javascript jquery állások IX. kerületben (it programozás, fejlesztés)

Writing production-quality, well-tested scraper code in Python that needs little rework after review, including comprehensive unit and integration tests written with minimal guidance...

• Participating in backend and frontend development efforts where high-performance and speed play vital role
• Cooperating with product team including UX, UI, and Product management
• Building and coding backend in Node.JS and frontend in React in a complex web application

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése, pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

• Delivering software releases on schedule with defined scope and quality and transitioning to continuous delivery
• Ensuring reliable operation of the CI/CD pipelines and improving their efficiency
• Contributing to the test strategy and coordinating its execution

• 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

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• 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

• 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

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

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

• 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

• 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

• 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

• Provisioning and managing Azure/AWS resources as part of real client engagements
• Building IaC and CI/CD pipelines to automate deployments
• Ensuring reliability through monitoring, runbooks, and incident handling
• Applying security patterns across projects

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost, differentiating between a working query and an efficient one

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

Overseeing the implementation, monitoring, evaluation, and maintenance of application and IT security systems, policies, and procedures to safeguard the confidentiality, integrity, and availability of the organization's information, systems, and processes...