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ai developer

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

Future Group Language Solutions

<div>
 
 About The Role
 
 
 
 We are looking for an
 
 Applied AI Engineer
 
 to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
 
 
 This is an
 
 AI-first engineering role
 
 , where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using LLMs.
 </li>
 <li>
 Build and optimize RAG and GraphRAG pipelines.
 </li>
 <li>
 Develop AI agents and multi-agent workflows for business automation.
 </li>
 <li>
 Design and manage knowledge graphs using GraphDB technologies.
 </li>
 <li>
 Integrate enterprise data sources with AI applications.
 </li>
 <li>
 Engineer prompts, workflows, and agent orchestration for reliable AI systems.
 </li>
 <li>
 Evaluate and optimize AI models for quality, latency, scalability, and cost.
 </li>
 <li>
 Build production-ready APIs and AI services.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver AI-driven products.
 </li>
 <li>
 Stay up to date with the latest AI models, frameworks, and best practices.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
 </li>
 <li>
 3+ years of experience developing AI-powered or data-intensive applications.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).
 </li>
 <li>
 Experience implementing Retrieval-Augmented Generation (RAG).
 </li>
 <li>
 Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.
 </li>
 <li>
 Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.
 </li>
 <li>
 Experience integrating AI models through APIs and SDKs.
 </li>
 <li>
 Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with GraphRAG architectures.
 </li>
 <li>
 Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
 </li>
 <li>
 Experience with Model Context Protocol (MCP).
 </li>
 <li>
 Prompt engineering and AI evaluation frameworks.
 </li>
 <li>
 Knowledge of semantic search and hybrid retrieval.
 </li>
 <li>
 Experience with FastAPI, Django, or Flask.
 </li>
 <li>
 Familiarity with Kubernetes, CI/CD pipelines, and microservices.
 </li>
 <li>
 Experience building knowledge graphs and ontology design.
 
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to build cutting-edge AI products.
 </li>
 <li>
 Collaborative and innovative engineering environment.
 </li>
 <li>
 Exposure to the latest AI technologies and frameworks.
 </li>
 <li>
 Professional growth and continuous learning opportunities.
 </li>
 <li>
 Competitive salary and benefits package.
 
 
 
 </li>
 </ul>
 Join Our Team
 
 
 If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!
</div>

Applied AI Engineer (AI-First / Vibe Coding)

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Cairo to build, evaluate, and improve AI-generated code &mdash; helping train AI systems to think like real developers.
 
 
 You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development &mdash; not theoretical, not bureaucratic, and not boring.
 
 
 This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, debug, and optimize code across a range of languages, frameworks, and problem domains
 </li>
 <li>
 Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
 </li>
 <li>
 Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
 </li>
 <li>
 Provide structured, detailed feedback explaining why code works &mdash; or doesn't
 </li>
 <li>
 Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
 </li>
 <li>
 Compare and rank multiple AI-generated solutions based on engineering quality
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software design principles
 </li>
 <li>
 Able to read, write, and reason about code with clarity and precision
 </li>
 <li>
 Strong problem-solving instincts and a systematic debugging approach
 </li>
 <li>
 Clear written communicator &mdash; you can explain technical decisions in plain language
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field &mdash; or equivalent practical experience
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
 </li>
 <li>
 Familiarity with AI/ML concepts, LLMs, or prompt engineering
 </li>
 <li>
 Background in code review, technical writing, or mentoring junior developers
 </li>
 <li>
 Experience with cloud platforms, DevOps, or distributed systems
 </li>
 <li>
 Competitive programming, open-source contributions, or side projects that demonstrate your craft
 </li>
 <li>
 Advanced degree in Computer Science or related discipline
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with intellectually stimulating, high-impact work
 </li>
 <li>
 Directly influence how AI writes, understands, and reasons about code
 </li>
 <li>
 Sharpen your own engineering skills by evaluating diverse problems daily
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer (AI Training)

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 
 About us:
 
 
 
 
 Dwelleo is an innovative
 
 
 PropTech platform transforming the Saudi Arabian real estate market
 
 
 through AI-powered insights, smart listings, and advanced digital solutions for developers, brokers, and property seekers. Our mission is to redefine the way properties are bought, sold, and rented in KSA through a seamless, intelligent digital ecosystem.
 
 
 
 As part of our growth, we are expanding our commercial team and are looking for a high-performing
 
 B2B Telesales Specialist
 
 
 to drive developer and broker onboarding across Saudi Arabia.
 
 
 
 
 
 
 
 Role Summary
 
 
 
 The
 
 B2B Telesales Specialist &ndash; Real Estate (KSA Market)
 
 will be responsible for driving outbound sales activities, onboarding real estate developers, brokerage firms, and individual brokers onto the Dwelleo platform. This is a high-impact revenue-generating role focused on pipeline development, closing onboarding deals, and growing Dwelleo&rsquo;s listing ecosystem across Saudi Arabia&mdash;fully remote from Egypt.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 B2B Telesales &amp; Onboarding
 
 
 <ul>
 <li>
 Identify, target, and engage real estate developers, brokerage firms, and individual brokers across Saudi Arabia.
 </li>
 <li>
 Conduct high-volume outbound calls, virtual meetings, and follow-ups to convert leads into active partners.
 </li>
 <li>
 Present Dwelleo&rsquo;s platform, pricing packages, and AI-powered tools clearly and persuasively.
 </li>
 <li>
 Negotiate commercial terms, onboarding agreements, and listing packages in line with company policies.
 </li>
 <li>
 Manage the full sales cycle from lead generation to deal closure and onboarding activation.
 </li>
 <li>
 Maintain accurate records of activities, pipelines, and conversion data using CRM tools.
 
 
 </li>
 </ul>
 
 
 
 
 
 Client Relationship Management
 
 
 <ul>
 <li>
 Build strong long-term relationships with developers and brokers to ensure recurring listings.
 </li>
 <li>
 Act as the main point of contact during onboarding and early-stage activation.
 </li>
 <li>
 Ensure partners are fully trained and supported to maximize platform adoption and performance.
 
 
 </li>
 </ul>
 
 
 
 
 
 Market Awareness &amp; Growth Support
 
 
 <ul>
 <li>
 Monitor the Saudi real estate market and identify new business opportunities.
 </li>
 <li>
 Track competitors such as Property Finder, Bayut, Wasalt, and Aqaar.
 </li>
 <li>
 Share market feedback with Product and Marketing teams to improve positioning and performance.
 
 
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Performance
 
 
 <ul>
 <li>
 Achieve monthly targets for onboarding volume, revenue, and active listings.
 </li>
 <li>
 Prepare weekly sales reports covering pipeline status, conversion rates, and market insights.
 </li>
 <li>
 Collaborate closely with Product, Marketing, and Operations teams for smooth deal execution.
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Sales, Marketing, Real Estate, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in
 
 B2B sales, telesales, business development, or account management
 
 .
 </li>
 <li>
 Previous experience in
 
 PropTech, real estate platforms, SaaS, or digital marketplaces
 
 is highly preferred.
 </li>
 <li>
 Strong understanding of B2B sales with developers, brokers, or property owners.
 </li>
 <li>
 
 Fluent English is mandatory
 
 (spoken and written) for dealing with KSA clients and international stakeholders.
 </li>
 <li>
 Proven track record of achieving sales targets.
 </li>
 <li>
 Highly self-motivated and disciplined for remote work environments.
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience working with or selling to the
 
 Saudi real estate market
 
 .
 </li>
 <li>
 Experience using CRM systems.
 </li>
 <li>
 Understanding of digital marketing, online listings, and lead generation.
 
 
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 <ul>
 <li>
 Strong persuasion, negotiation, and closing skills.
 </li>
 <li>
 Excellent relationship-building ability.
 </li>
 <li>
 Results-driven and target-oriented mindset.
 </li>
 <li>
 High level of professionalism and customer focus.
 </li>
 <li>
 Ability to thrive in a fast-paced, tech-driven startup environment.
 
 
 </li>
 </ul>
 
 
 
</div>

Telesales Specialist (B2B/B2C)

Henkel

<div>
 
 About this Position
 
 The Cloud Engineer supports the development and operation of Henkel's enterprise multi-cloud platform environment, covering Microsoft Azure and Google Cloud Platform. The role focuses on building scalable cloud infrastructure, automation, and platform engineering solutions that support a centralized ecosystem serving global application teams and business units. As part of a hands-on engineering environment within Henkel's Cloud Organization, the position contributes to infrastructure engineering, cloud-native capabilities, and platform self-service that strengthen how enterprise solutions are deployed and scaled across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and optimize cloud infrastructure on Microsoft Azure and Google Cloud Platform, including compute, networking, IAM, and storage services.
 </li>
 <li>
 Develop and maintain infrastructure automation solutions using Terraform and Ansible following Infrastructure as Code (IaC) practices.
 </li>
 <li>
 Build and maintain CI/CD deployment pipelines supporting reliable multi-environment platform delivery and GitOps workflows.
 </li>
 <li>
 Support the provisioning and lifecycle management of cloud projects and resources such as VPCs, service accounts, landing zones, and platform blueprints.
 </li>
 <li>
 Contribute to the team's Internal Developer Platform (IDP) initiative by engineering self-service capabilities and reusable platform blueprints for application teams.
 </li>
 <li>
 Support API and agent gateway design, including model routing and FinOps tracking for LLM token consumption.
 </li>
 <li>
 Support platform security, identity management, and compliance capabilities across cloud-native environments.
 </li>
 <li>
 Collaborate with global and cross-functional teams including Platform Owners globally to deliver scalable and reliable enterprise platform solutions.
 </li>
 <li>
 Participate in disaster recovery planning and execution.
 </li>
 <li>
 Optimize cloud-based solutions and infrastructure as part of the company's digital strategy.
 </li>
 <li>
 Contribute to the development of best practices and documentation for IT operations.
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 2&ndash;3 years of hands-on experience in cloud engineering or DevOps roles
 </li>
 <li>
 Solid working knowledge of GCP or Azure - compute, networking, IAM, and storage fundamentals; experience with both is a plus.
 </li>
 <li>
 Hands on experince with infrastructure-as-code practices, preferably Terraform; Ansible is an advantage.
 </li>
 <li>
 Experience building and maintaining CI/CD pipelines and multi-environment deployment workflows.
 </li>
 <li>
 Familiarity with Linux environments, shell scripting (Bash), and container-based workloads.
 </li>
 <li>
 Understanding of Kubernetes or OpenShift and GitOps practices is an advantage.
 </li>
 <li>
 Basic familiarity with AI/LLM APIs such as Azure OpenAI or Vertex AI; hands-on experience is a strong plus.
 </li>
 <li>
 Experience with API gateway solutions (Azure APIM, Apigee, or similar) is a plus.
 </li>
 <li>
 Scripting experience with Python is considered a plus.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work independently and collaborate effectively across distributed, cross-functional teams.
 </li>
 <li>
 Proactive mindset with a passion for automation, engineering quality, and continuously learning new technologies.
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Cloud Engineer

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