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• 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

• 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

• Aktív részvétel a tervezésben, a specifikációk finomításában
• Fejlesztési feladatok megvalósítása
• Code review
• Automatikus tesztelés
• CI/CD folyamatok karbantartása (GitLab)
• Monitorozás és riasztások kezelése
• Az alkalmazás karbantartása Kubernetes környezetben
• Junior fejlesztők mentorálása

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements

Manuális funkcionális, regressziós és exploratív teszteket hajtasz végre a heti szoftverbuild-eken a minőség és a kiadhatóság biztosítása érdekében....

• Leading the design, development, testing, and deployment of enterprise software solutions
• Driving the full software development lifecycle, from requirements gathering to production support
• Building and enhancing automated testing frameworks to improve software quality and release speed

Working directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

• Analyzing business processes and collaborating with stakeholders to identify, assess, and prioritize automation opportunities
• Designing, developing, testing, and deploying scalable end-to-end automation solutions using UiPath, following industry best practices and enterprise standards

Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks (Layer 2&3 networks interconnects company datacenters & cloud instances inside company as well as external partner/client networks)...

• Developing, testing, and continuously improving cloud-native CaaS and PaaS capabilities, primarily using Go
• Contributing to Kubernetes operators and controllers that automate cluster and platform lifecycle processes

• Designing, developing, testing, and continuously improving cloud-native CaaS and PaaS capabilities, primarily using Go
• Developing Kubernetes operators and controllers to automate cluster, platform, and application lifecycle processes

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

Building and maintaining production-grade AI infrastructure using Infrastructure as Code (Terraform/CDK), monitoring, logging, and deployment automation to enable fast and secure agent delivery...

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines