Python állások, munkák XVI. kerületben

• Deploying and scaling EcliptOS platform in real-world environments and ensuring it works at scale
• Owning the EcliptOS platform delivery lifecycle, bridging product engineering and client environments

• Develop, integrate and operate scalable AI applications
• AI agents and intelligent assistance systems
• Implement AI use cases from proof of concept through production
• Advise business teams
• Define reusable AI standards and architectures, and ensure secure, stable and cost-effective production operation

• L2 incident resolution, platform maintenance, DR testing, privileged-account onboarding, SLA/ITIL operations, 24x7 on-call support, SOP/runbook maintenance.
• Perform root cause analysis (RCA) for recurring incidents and implement preventive measures to improve platform stability and security.

L3 support, incidents and problems, RCA, deployments/upgrades/patching, monitoring, automation, ITIL change management, security and data governance....

• Designing visually engaging and user-friendly interfaces for web and mobile applications
• Collaborating with UX designers to create cohesive user experiences
• Developing and maintaining design systems, style guides, and component libraries

• Owning and evolving Tulip’s Cypress + TypeScript E2E automation framework, driving expanded coverage across critical product surfaces
• Integrating automated test suites into CI/CD pipelines to deliver fast, reliable feedback loops for engineering teams

Work with feature teams to deliver complete components for broader platform integration while performing development on the Lending Operations Technology stack for both strategic initiatives and user-requested enhancements. ...

Driving modeling and experimentation for SEON's fuzzy matching and AML screening quality, turning ambiguous problems into well-defined approaches and carrying them from experiment through release and operation...

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Designing and building multi-agent (agent-to-agent) solutions in which agents hand work to each other, review it and escalate to a human when needed

• Using formal verification algorithms to formally prove the correctness of complicated logic problems
• Identifying key behaviors for verification to write clear testplans for complex designs
• Implementing testplans using innovative formal techniques
• Driving tools to realize their best performance

• Leading end-to-end penetration testing engagements across web applications, APIs, cloud environments, kubernets, binary applications and internal/external infrastructure
• Simulating real-world attacks to identify security risks before they become threats

Lead identification of high-impact use cases for ML/AI/GenAI, prioritizing those that drive business performance, uncover optimization opportunities, and fuel revenue and margin growth....

• 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
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

Developing and implementing complex generative AI applications from discovery to deployment, realizing strategic, tactical, and operational impact...

• Contributing to the test strategy and developing test plans for future Arm products
• Defining and improving the test architecture for automated testing and validation
• Developing test cases for embedded linux systems from first power on to end-to-end use cases

• Leading and developing the three-person QC function, including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Design and build scalable, high-performance distributed systems and microservices.
• Develop concurrent applications using robust multi-threaded architecture in Linux environments.
• Leverage AI developer tools like GitHub Copilot and Claude Code to accelerate the SDLC.

• Owning the architecture and delivery of production-grade LLM systems and classical ML solutions
• Designing, evaluating, and optimizing RAG pipelines (retrieval strategy, chunking, indexing, monitoring)

• Contributing directly to the successful delivery of client engagements focused on banking strategy and innovation
• Crafting long-term strategies and identifying new growth opportunities within and beyond clients' core businesses

• A bank informatikai műveleteinek, infrastruktúrájának, biztonsági műveleteinek és felügyeleti képességeinek megismerése
• Támadási trendek naprakész ismerete
• Technikai leírás alapján, szabálydefiniálás SIEM rendszerben
• Szoros együttműködés a SOC elemző kollégákkal