Platform Engineer (SAP BTP)
Responsible for the administration and management of the SAP BTP platform, including runtimes and security services. The role involves ensuring secure deployments and monitoring platform performance and costs.
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Responsible for the administration and management of the SAP BTP platform, including runtimes and security services. The role involves ensuring secure deployments and monitoring platform performance and costs.
Responsible for the administration, management, and security of the SAP BTP platform, including runtimes and authorization services. The role involves monitoring performance, managing deployments via CI/CD, and defining platform best practices.
Review and evaluate AI-generated outputs and prompts to ensure accuracy, clarity, and cultural appropriateness. Provide structured annotations and original content to improve AI model performance based on local norms.
Review and evaluate AI-generated outputs and prompts to ensure accuracy, clarity, and cultural appropriateness. Provide structured annotations and original content to improve AI model performance based on local Spanish norms.
Design and develop modern test automation architectures and scalable frameworks for enterprise applications using AI-supported approaches. Integrate automation into CI/CD pipelines and provide strategic consulting to development teams on quality engineering best practices.
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Develop and maintain scalable Python applications and RESTful APIs using frameworks like FastAPI or Django. Design and implement generative AI chatbot applications and optimize Retrieval Augmented Generation (RAG) systems.
The role involves gathering and documenting business and user requirements to transform ideas into scalable product solutions. You will collaborate with cross-functional teams to define workflows, manage product documentation, and ensure alignment throughout the development lifecycle.
The role focuses on troubleshooting software applications and providing technical support to maintain low resolution times and high customer service levels. Responsibilities include monitoring application performance, developing technical documentation, and implementing software enhancements.
Analyze banking transactions to detect and prevent fraud using graph-based transactional analysis and ML models. Develop production-ready Python code and integrate fraud detection algorithms into the company's protection platform.
The role focuses on managing complex customer inquiries via an asynchronous, ticket-based system without phone support. Responsibilities include diagnosing technical errors, optimizing support playbooks, and collaborating with product teams to identify product gaps.
The role involves visiting customer sites to scope work and produce detailed quotations for municipal and industrial infrastructure projects. It also requires coordinating with procurement and technical teams to ensure accurate pricing and successful handover to the service delivery team.
Responsible for the backend architecture and development of Web3 products, including aggregators and wallet management, focusing on high concurrency and low latency. This includes building on-chain data scraping systems, implementing high-performance APIs, and integrating smart contract interaction modules.
Build and deploy AI agents and agentic workflows to automate productivity for a global private equity firm. This includes designing RAG pipelines, processing financial documents, and integrating REST APIs into business systems.
The Field Service Engineer will install, maintain, and troubleshoot chromatography devices while ensuring compliance with regulatory requirements. They will also collaborate with customer care teams to schedule service visits and maintain strong customer relationships.
Design and manage search and recommendation models to enhance content matching and distribution efficiency. Lead the development of core recommendation modules and collaborate with cross-functional teams to define success metrics.
Lead the end-to-end delivery of IT operations and infrastructure projects with a heavy focus on ITIL service transition and operational readiness. Coordinate across cross-functional teams to ensure seamless deployment into production and sustained business value.
Develop and maintain features for the security infrastructure platform while communicating directly with enterprise customers. Expand product lines including PKI, SSH, and KMS, and experiment with AI applications for secrets management.
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Act as the technical bridge between CrowdStrike and prospects to articulate complex security problems and demonstrate the value of next-generation endpoint technology. Collaborate with Sales, Marketing, and Engineering teams to drive customer adoption and stop breaches.
Own the operational health, architecture intelligence, and cost optimization of cloud environments. Develop models connecting architectural decisions to business spend and provide visibility to leadership through dashboards and reporting.
Own the reliability, performance, and scalability of the data tier, including schema design and migration safety. Build observability tooling and automate standards for the Django ORM and CDC pipelines to support rapid engineering growth.
Develop and implement automated continuous delivery solutions and Infrastructure as Code to improve operational efficiency. Collaborate with cross-functional teams to maintain secure, reliable services and participate in a 24/7 on-call rotation.
Lead the security, reliability, and cost efficiency of cloud and edge infrastructure, specifically managing Cloudflare and AWS environments. Establish observability standards and drive incident response processes to improve system visibility and operational excellence.
Build and iterate on supervised machine learning models to predict ad campaign delivery outcomes, replacing a simulation-based engine. Partner with ML engineers to deploy these models at scale and collaborate with cross-functional teams to drive adoption of ML-driven forecasts.
Design and build a next-generation ML data and feature platform to improve productivity for ML practitioners. This includes developing near-real-time feature computation engines and centralized feature and embedding stores for high-throughput training and low-latency inference.
Define and drive the reliability strategy, SLO frameworks, and operational best practices for Substrate workloads in regulated environments. Lead complex incident responses and architect large-scale automation and self-healing solutions to ensure high availability.
Lead advanced technical discussions with enterprise customers to design and scale AI, analytics, and HPC storage architectures. Partner with sales teams to optimize GPU utilization and bridge on-premises infrastructure with AI hyperscaler environments.
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Implement and operate security controls to protect the workforce, endpoints, and corporate software environment across global brands. Focus on tuning security tools, building automation for workflows, and managing SaaS risks like shadow IT.
Design and maintain automation frameworks and scripts to streamline security processes using AWS serverless architectures. Deploy secure, scalable infrastructure via Terraform and integrate security automation into CI/CD pipelines.
Design and implement microservices-based solutions using Java and Spring Boot. Develop and integrate RESTful APIs while managing relational databases and messaging systems like Kafka.
Manage end-to-end Salesforce implementation projects and conduct discovery workshops to translate business requirements into technical specifications. Provide post-implementation support and develop KPIs and dashboards using Einstein Analytics for business insights.
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