Php hell ci javascript jquery állások VI. kerületben (it programozás, fejlesztés)

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Development of CMS-based websites and components
• Collaboration with a responsive leadership team and experienced colleagues
• Continuous professional growth opportunities

• Build and evolve CI infrastructure that validates performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments that help distinguish real regressions from environmental noise when running and profiling targeted workloads

Establishment and operation of the build, release, and observability backbone for Meridian technical due diligence, code quarantine, reproducible software validation, controlled deployment preparation, and reliable engineering handover across cloud platform components...

• Building and operating scalable data ingestion and CDC capabilities on Azure-based Lakehouse platform
• Developing pipelines in Azure Data Factory and Databricks
• Maturing engineering approach through Python projects and reusable frameworks

• Build and operate multi-cluster containerized environments across cloud platforms
• Create end-to-end CI/CD pipelines for cloud-native applications and machine learning workloads
• Lead cost-optimization and FinOps initiatives for GPU, storage and data-egress spend

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Alkalmazások fejlesztése microservice architektúrában
• Funkcionális és nem-funkcionális követelmények technikai megvalósítása
• Felhőinfrastruktúra konfigurálása és karbantartása
• CI/CD pipeline-ok kialakítása
• Meglévő alkalmazások optimalizálása

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing and maintaining AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation

• Operating and supporting several systems in Azure
• Designing and continuously improving monitoring, alerting, and logging
• Supporting incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Support modernization, stabilization, and enterprise readiness of existing Windows desktop applications
• Improve installer architecture
• Standardize deployment workflows
• Enhance CI/CD pipelines
• Ensure reliable update and installation experience
• Maintain and stabilize existing auto-update mechanism

• Application maintenance with focus on stability, reliability, and production readiness
• Investigation, prioritization, and fixing of critical and high-impact bugs
• Provision of timely fixes to unblock scheduled releases
• Keeping Android SDK, Gradle, and third-party libraries up to date

• Leading AI-assisted software engineering activities for Meridian
• Designing repeatable SDLC patterns for analysis, validation, documentation, and evolution of complex cloud software stacks

• Ownership of backend services throughout their lifecycle including design, implementation, testing, deployment, operation, and continuous improvement
• Translation of product and business requirements into maintainable technical designs with clear communication of risks and trade-offs