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ai automation engineer

Brainlake

<div>
 We're looking for a hands-on
 
 AI Automation Engineer
 
 to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.
 
 
 You'll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.
 
 
 This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.
 
 
 ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
 
 
 ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
 
 
 ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
 
 
 ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
 
 
 ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
 
 
 ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users
 
 
 ❏ Build automated reporting, monitoring, and business intelligence workflows
 
 
 ❏ Conduct workflow discovery sessions and identify automation opportunities across departments
 
 
 ❏ Create technical documentation, architecture diagrams, and deployment guidelines
 
 
 ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
 
 
 ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions
 
 
 
 Requirements
 
 
 
 ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems
 
 
 ❏ Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms
 
 
 ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies
 
 
 ❏ Understand prompt engineering, AI orchestration, and agent-based systems
 
 
 ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations
 
 
 ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools
 
 
 ❏ Have experience working with structured and unstructured data
 
 
 ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript
 
 
 ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks
 
 
 ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems
 
 
 ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies
 
 
 ❏ Have built customer service, sales, HR, finance, or operations AI agents
 
 
 ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications
 
 
 ❏ Think in systems and enjoy simplifying complex business processes
 
 
 ❏ Communicate clearly and take ownership of delivery
 
 
 ❏ Have strong troubleshooting and problem-solving skills
 
 
 ❏ Are comfortable working directly with clients and stakeholders
 
 
 ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies
 
 
 ❏ Have a track record of reducing manual processes through intelligent automation
 
 
 ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients
 
 
 ❏ Continuously identify opportunities to introduce AI and automation into business operations
</div>

AI Automation Engineer

The Flex

<div>
 At The Flex, we believe renting a home should be as effortless as booking a ride.
 
 
 Our mission is ambitious: enable anyone to live anywhere, anytime, without friction.
 
 
 Powered by Base360.ai, our proprietary technology platform, we are building the operating system for modern renting&mdash;automating operations, connecting fragmented systems, and creating seamless experiences for guests, landlords, and operators across the world.
 
 
 We're looking for a Founding Software Engineer to help architect and build the technology that powers the future of The Flex.
 
 
 This is not a typical engineering role.
 
 
 You'll work directly with the founder, influence product strategy, make architectural decisions, and build systems that become the foundation of a global business.
 
 
 You'll have extraordinary ownership, responsibility, and impact from day one.
 
 
 What You'll Build
 
 
 As a Founding Software Engineer, you'll help create and scale Base360.ai&mdash;the technology platform that powers every aspect of The Flex.
 
 
 From AI-powered workflows and booking systems to operational automation and intelligent decision-making, you'll build products that directly impact revenue, efficiency, and customer experience.
 
 
 You won't just ship features.
 
 
 You'll create systems that replace manual work, unlock scale, and become a competitive advantage for the company.
 
 
 Your Mission
 
 
 Build Core Products
 
 
 Design, build, and launch the software that powers bookings, pricing, payments, operations, communications, and guest experiences.
 
 
 Architect the Platform
 
 
 Make key technical decisions and help define the long-term architecture of Base360.ai.
 
 
 Create Automation at Scale
 
 
 Develop workflows and systems that automate operational processes across multiple countries and thousands of stays.
 
 
 Leverage AI
 
 
 Build AI-powered tools, agents, and workflows that improve productivity, decision-making, and customer experience.
 
 
 Integrate the Ecosystem
 
 
 Develop and maintain integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, Google, OpenAI, and other strategic partners.
 
 
 Move Fast
 
 
 Operate with urgency and ownership, turning ideas into production-ready solutions quickly and effectively.
 
 
 Solve Real Problems
 
 
 
 Work On Challenges Such As
 
 
 
 <ul>
 <li>
 Reservation synchronization
 </li>
 <li>
 Dynamic pricing
 </li>
 <li>
 Smart access management
 </li>
 <li>
 Guest communication automation
 </li>
 <li>
 Operational forecasting
 </li>
 <li>
 Maintenance and cleaning automation
 </li>
 <li>
 AI-powered alerts and monitoring
 </li>
 <li>
 Revenue optimization
 
 
 </li>
 </ul>
 Help Build the Company
 
 
 As one of the first engineers, your influence will extend beyond code. You'll help shape processes, culture, product direction, and the future engineering team.
 
 
 Tech Stack
 
 
 
 Our Current Stack Includes
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 FastAPI
 </li>
 <li>
 React
 </li>
 <li>
 TypeScript
 </li>
 <li>
 Supabase
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AWS
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Stripe
 </li>
 <li>
 Twilio
 </li>
 <li>
 Docker
 </li>
 <li>
 GitHub Actions
 
 
 </li>
 </ul>
 We care more about your ability to learn and build than your experience with any specific technology.
 
 
 What We're Looking For
 
 
 Must Have
 
 
 <ul>
 <li>
 Strong software engineering fundamentals
 </li>
 <li>
 Experience building production-grade applications
 </li>
 <li>
 Strong understanding of APIs, databases, and system design
 </li>
 <li>
 Product mindset and customer obsession
 </li>
 <li>
 Ability to work independently with minimal supervision
 </li>
 <li>
 Strong problem-solving ability
 </li>
 <li>
 High level of ownership and accountability
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Startup experience
 </li>
 <li>
 Experience with AI products or LLM integrations
 </li>
 <li>
 Experience building SaaS products
 </li>
 <li>
 Experience with FastAPI, React, AWS, or Supabase
 </li>
 <li>
 Marketplace, travel, or PropTech experience
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 
 Within Your First Year
 
 
 
 <ul>
 <li>
 Critical company operations are automated through systems you've built
 </li>
 <li>
 Base360.ai becomes a core competitive advantage
 </li>
 <li>
 New products are shipped rapidly and reliably
 </li>
 <li>
 Engineering velocity increases significantly
 </li>
 <li>
 AI-powered workflows are embedded across the business
 </li>
 <li>
 The platform is ready to scale internationally
 
 
 </li>
 </ul>
 Why Join The Flex
 
 
 Massive Impact
 
 
 Your work will directly shape how thousands of people live, travel, and experience cities.
 
 
 Founding-Level Ownership
 
 
 You'll have significant influence over product, technology, and company direction.
 
 
 Build Alongside the Founder
 
 
 Work closely with leadership and help define the future of the business.
 
 
 Learn Faster
 
 
 Gain exposure to engineering, AI, product, operations, growth, and company-building.
 
 
 Performance-Based Rewards
 
 
 Competitive compensation with meaningful upside for exceptional contributors.
 
 
 Remote-First
 
 
 Work from anywhere. We care about results, not hours.
 
 
 This Role Is Not For You If
 
 
 <ul>
 <li>
 You're looking for a predictable corporate environment
 </li>
 <li>
 You prefer maintaining systems rather than building them
 </li>
 <li>
 You need constant direction and supervision
 </li>
 <li>
 You avoid ownership outside your immediate responsibilities
 </li>
 <li>
 You are uncomfortable with change, ambiguity, and rapid execution
 
 
 </li>
 </ul>
 If you're excited by building products, solving hard problems, leveraging AI, and helping create the operating system for modern renting, we'd love to hear from you.
 
 
</div>

Founding Software Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 We are looking for a skilled Senior Java Developer to join our team and take ownership of designing, developing, and maintaining robust, scalable Java-based applications. This role requires deep expertise in Java and its related frameworks, strong problem-solving abilities, and a solid understanding of modern development practices.
 
 
 As a Senior Developer, you will lead project initiatives or development teams, collaborate closely with cross-functional groups including QA, DevOps, and UI/UX designers, and provide technical guidance to junior developers. You&rsquo;ll play a key role in ensuring our applications meet high standards of performance, scalability, and alignment with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, debug, and deploy Java-based applications across the full SDLC.
 </li>
 <li>
 Collaborate with cross-functional teams to develop robust, maintainable solutions.
 </li>
 <li>
 Contribute to technical design and architectural decisions using modern best practices.
 </li>
 <li>
 Maintain high code quality through unit testing and clean code principles.
 </li>
 <li>
 Support configuration, build automation, deployment, and continuous integration.
 </li>
 <li>
 Mentor junior developers and actively contribute to a culture of technical excellence.
 </li>
 <li>
 Stay up to date with industry trends and contribute ideas on integrating innovations such as Generative AI where applicable.
 </li>
 <li>
 Design and integrate agentic AI capabilities into applications, planning, tool usage, workflow automation, and intelligent decision-making.
 </li>
 <li>
 Collaborate with AI engineers to build, orchestrate, and optimize agent-based systems using LLMs, vector search and RAG workflows.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Programming &amp; Frameworks:
 
 
 </li>
 </ul>
 Java, Spring Boot, Angular, Node.js, OOP, Design Patterns
 
 
 <ul>
 <li>
 Web Technologies:
 
 
 </li>
 </ul>
 JavaScript (Basics, AJAX), REST &amp; SOAP Web Services
 
 
 <ul>
 <li>
 Database &amp; ORM:
 
 
 </li>
 </ul>
 Native SQL, Oracle, MySQL, Database Design, ERD, JPA, Hibernate
 
 
 <ul>
 <li>
 Search &amp; Messaging:
 
 
 </li>
 </ul>
 Apache Solr, Elasticsearch, Kafka
 
 
 <ul>
 <li>
 Build &amp; Deployment:
 
 
 </li>
 </ul>
 Maven, CI/CD, Deployment Automation
 
 
 <ul>
 <li>
 Testing &amp; Quality:
 
 
 </li>
 </ul>
 Unit Testing (Junit, TestNG), TDD, Clean Code Practices
 
 
 <ul>
 <li>
 Application Servers:
 
 
 </li>
 </ul>
 Apache Tomcat, WebLogic, JBoss, WebSphere, GlassFish, OC4J
 
 
 <ul>
 <li>
 Tools &amp; Configuration:
 
 
 </li>
 </ul>
 Git, Configuration Management, JIRA, XML (XSD, DTD)
 
 
 <ul>
 <li>
 Security:
 
 
 </li>
 </ul>
 Familiarity with OWASP secure coding techniques and best practices to mitigate vulnerabilities
 
 
 <ul>
 <li>
 Generative AI &amp; Intelligent Automation:
 </li>
 <li>
 Hands-on experience or strong familiarity with building AI-enhanced features using LangChain, LangGraph, and similar orchestration frameworks.
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG) pipelines and integrating them into enterprise applications.
 </li>
 <li>
 Understanding of vector databases (e.g., Pinecone, Milvus, Elasticsearch vectors) and practical usage of embeddings for semantic search or contextual retrieval.
 </li>
 <li>
 Ability to design prompts and optimize interactions with Large Language Models (LLMs) to improve reasoning, accuracy, and performance.
 </li>
 <li>
 Understanding multi-agent workflows, planning, and tool-use capabilities powered by modern LLMs.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Big Data &amp; NoSQL: Hadoop, Hive, Sqoop, Pentaho, MongoDB, HBase
 </li>
 <li>
 Containers &amp; DevOps: Docker, Kubernetes
 </li>
 <li>
 Other: Security Best Practices, AOP (Aspect-Oriented Programming)
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

Henkel

<div>
 
 About this Position
 
 The Data Engineer supports the development and operation of Henkel&rsquo;s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.
 
 
 As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
 </li>
 <li>
 Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
 </li>
 <li>
 Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
 </li>
 <li>
 Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
 </li>
 <li>
 Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
 </li>
 <li>
 Build and maintain data lineage between source systems and downstream consumers
 </li>
 <li>
 Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
 </li>
 <li>
 Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
 </li>
 <li>
 Support engineering best practices including testing, monitoring, and continuous platform enhancements
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Strong experience with Python and SQL, including working with analytical databases such as PostgreSQL or Databricks
 </li>
 <li>
 Experience building and maintaining scalable and scheduled data pipelines, including automation, error handling, and reliability practices
 </li>
 <li>
 Understanding of REST APIs, GraphQL, and system integrations
 </li>
 <li>
 Experience with cloud platforms and services, preferably Microsoft Azure and Databricks
 </li>
 <li>
 Familiarity with containerization technologies and Kubernetes-based environments
 </li>
 <li>
 Experience with metadata platforms or data governance solutions such as DataHub or similar tools is considered a plus
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure automation, and modern engineering practices is an advantage
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently and collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 Passion for data quality, governance, automation, and scalable engineering solutions
 </li>
 <li>
 Comfortable working with modern technologies, open-source solutions, and continuously learning new concepts and tools
 
 
 </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>

Data Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

<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

SSC HR Solutions

<div>
 TEST MANAGER (8+ Years)
 
 
 Role Summary
 
 
 The Test Manager provides QA leadership and governance for AI-enabled enterprise systems, ensuring strong automation practices, consistent AI testing standards, quality delivery, and cross team coordination across all solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and establish QA governance and automation strategy for enterprise-grade AI and digital solutions, including Agentic AI, multi-agent orchestration platforms, microservices, UI, and ERP integrations
 </li>
 <li>
 Set AI testing standards, validation frameworks, and approval guidelines across all AI agent categories
 </li>
 <li>
 Govern end-to-end testing execution across complex enterprise technology stacks
 </li>
 <li>
 Define and enforce AI specific testing frameworks, covering ex : Prompt safety, prompt drift, hallucination detection , Bias, fairness, compliance checks
 </li>
 <li>
 Oversee voice and conversational AI testing, ensuring Speech-to-text (STT) quality and accuracy ,Sentiment analysis reliability ,Intent classification
 </li>
 <li>
 Own QA metrics, capacity planning, and upskilling
 </li>
 <li>
 Collaborate with Product, Architecture, and Compliance teams
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Required Skills (Must Have)
 
 
 <ul>
 <li>
 Experience leading automation-heavy QA teams
 </li>
 <li>
 Strong understanding of Java/Python-based automation frameworks
 </li>
 <li>
 Selenium ecosystem and CI/CD governance
 </li>
 <li>
 Hands-on exposure to AI testing tools (e.g., Testsigma, Testim ) for evaluation and governance
 </li>
 <li>
 Minimum of 2-3 years of hands on experience with GenAI and Agentic AI solutions across production, client facing, or enterprise systems, including ownership of quality oversight and governance
 
 
 </li>
 </ul>
 Good to Have
 
 
 <ul>
 <li>
 Good ERP / Accounts Payable knowledge (e.g., Oracle ERP, SAP)
 </li>
 <li>
 ISTQB certification
 
 
 </li>
 </ul>
 
 Job Special Requirements
 
 
 
 
 Fluency in English is a must.
 
</div>

Test Manager (AI & Enterprise Systems)

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