cloud ai engineer

Intellias

<div>
 <p>
  <strong>
   Python / AI Engineer (AWS Bedrock, Multi-Agent AI)
  </strong>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Python / AI Engineer
  </strong>
  to design, build, and test intelligent multi-agent applications running on
  <strong>
   AWS Bedrock
  </strong>
  . In this role, you will develop AI agents using modern agent frameworks, implement agent collaboration and delegation patterns, integrate foundation models, and establish testing and evaluation practices for production-grade AI solutions.
 </p>
 <p>
  You will work closely with AI engineers, platform teams, and architects to build scalable, maintainable, and enterprise-ready agent-based applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 </p>
 <p>
  Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 </p>
 <p>
  As a
  <strong>
   Python / AI Engineer
  </strong>
  , you will become part of the
  <strong>
   Core Architecture Team
  </strong>
  , contributing to the development of a modern Digital Engineering Enterprise Platform.
 </p>
 <p>
  The platform provides engineering teams with reusable services, development tools, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain AI agent applications using Python and modern agent frameworks such as LangGraph, Strands, CrewAI, or equivalent.
  </li>
  <li>
   Build intelligent multi-agent workflows with collaboration and delegation capabilities.
  </li>
  <li>
   Integrate AI agents with AWS Bedrock foundation models and related AWS AI services.
  </li>
  <li>
   Develop Agent-to-Agent (A2A) communication using JSON-RPC 2.0, Server-Sent Events (SSE), and related communication patterns.
  </li>
  <li>
   Design and implement automated testing strategies for agent behavior, workflow correctness, and system reliability.
  </li>
  <li>
   Build evaluation frameworks using pytest, LangSmith, and other testing and validation tools.
  </li>
  <li>
   Create reusable components, templates, and pattern libraries that accelerate AI application development.
  </li>
  <li>
   Produce clear technical documentation, implementation guides, and engineering best practices.
  </li>
  <li>
   Collaborate with platform, AI, DevOps, and product teams to deliver scalable and production-ready AI solutions.
  </li>
  <li>
   Monitor, troubleshoot, and optimize agent performance, reliability, and operational efficiency.
  </li>
  <li>
   Promote engineering excellence through observability, testing, governance, and AI application lifecycle best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, Software Engineering, or a related field.
  </li>
  <li>
   4+ years of professional Python software development experience.
  </li>
  <li>
   Hands-on experience with at least one modern agent framework such as LangGraph, Strands, Crew AI, or an equivalent framework.
  </li>
  <li>
   Experience implementing multi-agent collaboration and delegation patterns.
  </li>
  <li>
   Experience integrating applications with AWS Bedrock APIs and foundation models.
  </li>
  <li>
   Knowledge of Agent-to-Agent (A2A) communication patterns, including JSON-RPC 2.0 and Server-Sent Events (SSE).
  </li>
  <li>
   Experience building automated testing frameworks using pytest and AI evaluation tools such as LangSmith.
  </li>
  <li>
   Experience writing technical documentation and creating reusable engineering assets.
  </li>
  <li>
   Strong understanding of software engineering best practices, code quality, and testing methodologies.
  </li>
  <li>
   Excellent problem-solving, communication, and collaboration skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with the Strands SDK.
  </li>
  <li>
   Experience with LangSmith tracing, evaluation, and observability.
  </li>
  <li>
   Familiarity with prompt engineering and AI evaluation methodologies.
  </li>
  <li>
   Experience deploying AI applications in AWS cloud environments.
  </li>
  <li>
   Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us
  </strong>
 </p>
 <ul>
  <li>
   Work on enterprise-scale AI initiatives for a global industry leader.
  </li>
  <li>
   Build intelligent multi-agent applications using the latest AI frameworks and AWS Bedrock technologies.
  </li>
  <li>
   Collaborate with experienced architects and AI engineers on innovative cloud-native solutions.
  </li>
  <li>
   Contribute to engineering standards, reusable frameworks, and best practices for enterprise AI development.
  </li>
  <li>
   Be part of a team shaping the future of production-grade AI applications at global scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Python / AI Engineer (AWS Bedrock, Multi-Agent AI)

Dormont Manufacturing

<div><div><div><p>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed &mdash; we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About the RoleCrowdStrike is looking for AI engineers who have strong experience in building AI applications and agents on various cloud platforms. The candidate should have a deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, A2A is required. The candidate should have expert level knowledge of a few of the various frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio, etc.The candidate should be able to understand the requirements, research possible solutions, prototype and implement production quality scalable, performant and code for the requirement along with necessary unity and functional tests required for productionizing the code.PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.Success MeansArchitecting and delivering scalable implementations for various features.Ability to research and compare/contrast various solutions for a given problem.Gather feedback and iterate towards a final solution while addressing the feedback.Ability to provide detailed design and architecture documents for the feature.The ability to present the problem and describe the solution in easy to understand ways for a larger audience is critical.Ability to present and explain the feature in the context of the product to the customers as needed.Deep understanding of 2 of cloud infrastructure and services - AWS, GCP, Azure or OCI.Expert level knowledge of Go and/or Python.Moderate to expert level knowledge of K8s.What You'll DoUnderstand the requirements.Design and present the solution, gather feedback and iterate towards an acceptable solution.Implement prototypes and high quality scalable, performant, testable production level code.Build and maintain dashboards necessary to monitor and report on the production metrics of the feature (efficacy and performance).Iterate and improve the solution as necessary wrt features, efficacy, scale and performance.What You'll Need6+ years of combined experience as a cloud app developer.4+ years of experience in implementing Generative AI Apps and features.Building Apps on Azure Cloud Platform, MS CoPilot, AI Agents.Bonus PointsPrevious experience in security companies and working in close coordination with or in security products.Deep understanding of Security landscape, especially AI Security (securing the use and application of AI).Benefits of Working at CrowdStrikeMarket leader in compensation and equity awards.Comprehensive physical and mental wellness programs.Competitive vacation and holidays for recharge.Paid parental and adoption leaves.Professional development opportunities for all employees regardless of level or role.Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.Vibrant office culture with world class amenities.Great Place to Work Certified across the globe.CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions&mdash;including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay‑offs, return from lay‑off, terminations and social/recreational programs&mdash;on valid job requirements.CrowdStrike participates in the E‑Verify program.Right to Work. CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.#J-18808-Ljbffr</p>
</div></div><div><p>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed &mdash; we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About the RoleCrowdStrike is looking for AI engineers who have strong experience in building AI applications and agents on various cloud platforms. The candidate should have a deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, A2A is required. The candidate should have expert level knowledge of a few of the various frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio, etc.The candidate should be able to understand the requirements, research possible solutions, prototype and implement production quality scalable, performant and code for the requirement along with necessary unity and functional tests required for productionizing the code.PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.Success MeansArchitecting and delivering scalable implementations for various features.Ability to research and compare/contrast various solutions for a given problem.Gather feedback and iterate towards a final solution while addressing the feedback.Ability to provide detailed design and architecture documents for the feature.The ability to present the problem and describe the solution in easy to understand ways for a larger audience is critical.Ability to present and explain the feature in the context of the product to the customers as needed.Deep understanding of 2 of cloud infrastructure and services - AWS, GCP, Azure or OCI.Expert level knowledge of Go and/or Python.Moderate to expert level knowledge of K8s.What You'll DoUnderstand the requirements.Design and present the solution, gather feedback and iterate towards an acceptable solution.Implement prototypes and high quality scalable, performant, testable production level code.Build and maintain dashboards necessary to monitor and report on the production metrics of the feature (efficacy and performance).Iterate and improve the solution as necessary wrt features, efficacy, scale and performance.What You'll Need6+ years of combined experience as a cloud app developer.4+ years of experience in implementing Generative AI Apps and features.Building Apps on Azure Cloud Platform, MS CoPilot, AI Agents.Bonus PointsPrevious experience in security companies and working in close coordination with or in security products.Deep understanding of Security landscape, especially AI Security (securing the use and application of AI).Benefits of Working at CrowdStrikeMarket leader in compensation and equity awards.Comprehensive physical and mental wellness programs.Competitive vacation and holidays for recharge.Paid parental and adoption leaves.Professional development opportunities for all employees regardless of level or role.Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.Vibrant office culture with world class amenities.Great Place to Work Certified across the globe.CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions&mdash;including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay‑offs, return from lay‑off, terminations and social/recreational programs&mdash;on valid job requirements.CrowdStrike participates in the E‑Verify program.Right to Work. CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.#J-18808-Ljbffr</p>
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<br><div></div><div><div><div><ul><li><h1 class="jobSectionHeader"><b>Sr. Engineer, AI - AI Detection and Response (AIDR) (Hybrid)</b></h1>
</li><li>Dormont Manufacturing Company
</li><li>Sunnyvale, California 94087 United States View Map</li>
</ul><ul><li>Posted: Jul 11, 2026</li>
<li>Location: Sunnyvale,California</li>
</ul><ul><li>Full Time</li>
<li>Public Safety</li></ul></div></div></div><div></div>

Sr. Engineer, AI - AI Detection and Response (AIDR) (Hybrid)

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Forward Deployed Engineer III, Generative AI (French, German)

<div>
 <p>
  <strong>
   Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
  </strong>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Tech Lead Engineer
  </strong>
  to design and lead the implementation of an enterprise-grade
  <strong>
   AI Registry and Discovery Platform
  </strong>
  for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 </p>
 <p>
  As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 </p>
 <p>
  The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 </p>
 <p>
  Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 </p>
 <p>
  As a
  <strong>
   Tech Lead Engineer
  </strong>
  , you will become part of the
  <strong>
   Core Architecture Team
  </strong>
  , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 </p>
 <p>
  The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
  </li>
  <li>
   Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
  </li>
  <li>
   Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
  </li>
  <li>
   Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
  </li>
  <li>
   Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
  </li>
  <li>
   Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
  </li>
  <li>
   Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
  </li>
  <li>
   Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
  </li>
  <li>
   Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
  </li>
  <li>
   Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
  </li>
  <li>
   Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
  </li>
  <li>
   Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
  </li>
  <li>
   Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
  </li>
  <li>
   Produce architecture documentation, implementation standards, and technical governance guidelines.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, Software Engineering, or a related field.
  </li>
  <li>
   5+ years of backend or platform engineering experience.
  </li>
  <li>
   Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
  </li>
  <li>
   Strong Python development experience, including Fast API and backend service development.
  </li>
  <li>
   Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
  </li>
  <li>
   Experience designing metadata schemas and service registration models.
  </li>
  <li>
   Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
  </li>
  <li>
   Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
  </li>
  <li>
   Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
  </li>
  <li>
   Experience integrating enterprise identity providers and identity mapping solutions.
  </li>
  <li>
   Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
  </li>
  <li>
   Excellent leadership, communication, mentoring, and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with AWS AgentCore Registry and Gateway.
  </li>
  <li>
   Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
  </li>
  <li>
   Experience with HashiCorp Vault or enterprise secrets management platforms.
  </li>
  <li>
   Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
  </li>
  <li>
   Experience implementing observability and distributed tracing solutions.
  </li>
  <li>
   Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
  </li>
 </ul>
 <p>
  Why Join Us
 </p>
 <ul>
  <li>
   Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
  </li>
  <li>
   Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
  </li>
  <li>
   Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
  </li>
  <li>
   Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
  </li>
  <li>
   Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

Valeo

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
  </li>
  <li>
   Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
  </li>
  <li>
   Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
  </li>
  <li>
   CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
  </li>
  <li>
   Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
  </li>
  <li>
   Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
  </li>
  <li>
   Oversee the deployment, maintenance, and backup strategies for databases.
  </li>
  <li>
   Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
  </li>
  <li>
   Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Education &amp; Experience
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
  </li>
  <li>
   5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
  </li>
  <li>
   Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Technical Requirements
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
  </li>
  <li>
   Proven ability to design and implement robust, scalable, and secure cloud architectures.
  </li>
  <li>
   Mastery of Docker and Kubernetes administration.
  </li>
  <li>
   Strong proficiency in Terraform.
  </li>
  <li>
   Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
  </li>
  <li>
   Experience managing PostgreSQL and ClickHouse databases.
  </li>
  <li>
   Deep understanding of Linux System Administration.
  </li>
  <li>
   Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
  </li>
  <li>
   Strong proficiency in Python and Bash scripting.
  </li>
  <li>
   Familiarity with DevSecOps tools and practices.
  </li>
  <li>
   Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
  </li>
  <li>
   Bonus: Knowledge of Javascript/Node.js is a strong plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Soft Skills &amp; Mindset
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Ability to design long-term solutions rather than quick fixes.
  </li>
  <li>
   Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
  </li>
  <li>
   Comfortable working in a fast-paced environment with evolving requirements.
  </li>
  <li>
   Fluent English is a must.
  </li>
 </ul>
</div>


Senior DevOps Engineer, AI4ALL

Schwarz Digits KG

<p></p><div><div><div><div><ul><li><div><div><h2 class="jobSectionHeader"><b>Standort</b></h2><div><div>
Am Campus 1<br>
74177 Bad Friedrichshall
</div></div></div></div></li><p></p><li><div><div><h2 class="jobSectionHeader"><b>Abteilung / Bereich</b></h2><div><div>
IT - BI, AI &amp; Data</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Einstiegslevel</b></h2><div><div>
Berufserfahrene</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Arbeitsmodell</b></h2><div><div>
Vollzeit</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
4013</div></div></div></div></li></ul></div></div></div>
<div><div><div><p>
Schwarz Digits schafft das technologische Fundament f&uuml;r digitale Entscheidungsfreiheit in Europa. Als IT- und Digitalsparte der Schwarz Gruppe entwickeln und verantworten wir einerseits die IT-Infrastrukturen f&uuml;r die Handelssparten Lidl und Kaufland sowie die Schwarz Produktion und PreZero. Gleichzeitig agieren wir als unabh&auml;ngiger Anbieter am externen Markt, um Unternehmen in ganz Europa bei ihrer digitalen Transformation zu unterst&uuml;tzen. Unsere Kernleistungen b&uuml;ndeln wir in den Bereichen Cloud, Cyber Security, Data &amp; AI, Communication und Workspace. Trage auch du zur digitalen Entscheidungsfreiheit in Europa bei.<br>
<br>
Bei uns arbeitest du an der Schnittstelle zwischen Agilit&auml;t und Sicherheit: Du profitierst von den schnellen Entscheidungswegen, genie&szlig;t echte Gestaltungsspielr&auml;ume in deinen Projekten und baust dabei auf das stabile Fundament der Schwarz Gruppe.</p><p>
Gestalte die Zukunft der Produktion mit uns! Als Teil unseres agilen Entwicklerteams baust und betreibst du innovative Computer Vision Produkte f&uuml;r die Produktionswerke der Unternehmen der Schwarz Gruppe. Unsere L&ouml;sungen stellen die Qualit&auml;t von Waren sicher, klassifizieren Einzelprodukte und z&auml;hlen t&auml;glich Millionen von Artikeln &ndash; damit tragen wir ma&szlig;geblich zu einem reibungslosen und effizienten Produktionsablauf bei. Zur Verst&auml;rkung unseres Teams suchen wir einen Software Engineer (m/w/d) mit echter Begeisterung f&uuml;r Computer Vision.</p></div></div></div>
<div><div><h3 class="jobSectionHeader"><b>
Deine Aufgaben</b></h3><div><div><ul><li>
Als Teil unseres agil arbeitenden Engineering Teams baust und betreibst du gemeinsam mit deinen Kollegen unsere vielf&auml;ltigen Computer Vision Produkte und tr&auml;gst damit zum reibungslosen Betriebsablauf in unseren Produktionswerken bei.</li><li>
Du konzipierst und implementierst eigenst&auml;ndig innovative Computer Vision Produkte in Python.</li><li>
Du bist ma&szlig;geblich an der Entwicklung und der Auslieferung unserer End-To-End AI L&ouml;sungen beteiligt.</li><li>
Du implementierst und betreibst unsere Software in enger Zusammenarbeit mit unseren Kunden.</li><li>
Du trainierst AI Modelle, baust Computer Vision Pipelines und erzeugst die daf&uuml;r notwendigen Daten.</li><li>
Du bist Teil eines fokussierten Engineering Teams und tr&auml;gst mit deiner proaktiven und kollaborativen Arbeitsweise zu dessen Erfolg bei.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li>
Du hast mindestens 2 Jahre Erfahrung im Umfeld professioneller Softwareentwicklung und dem Betrieb deiner Softwarel&ouml;sungen.</li><li>
Du hast Praxiserfahrung in der angewandten Bildverarbeitung und kannst ma&szlig;geschneiderte Algorithmen mit klassischen Methoden und Deep-Learning Ans&auml;tzen (z. B. mit OpenCV oder PyTorch) entwickeln.</li><li>
Du wei&szlig;t, wie du deine Software effizient betreibst und deren Funktionalit&auml;t sicherstellst u.a. mittels automatisierter Tests, Docker, CI/CD, Monitoring, etc.</li><li>
Das Programmieren in Python geh&ouml;rt f&uuml;r dich zum Alltag. Zudem bist du absolut sicher im Umgang mit modernen Tools und Frameworks wie Git, UV, Pydantic, Pytest und FastAPI.</li><li>
Du willst mit deiner Software echte Probleme l&ouml;sen und damit messbaren Mehrwert schaffen.</li><li>
Du hast Lust im Team agil zu arbeiten und kommunizierst sicher auf Deutsch und Englisch.</li></ul></div></div></div></div>
<div><h2 class="jobSectionHeader"><b>Unsere Benefits</b></h2><p></p><div><div><div><p>
</p></div></div></div></div><p></p><div><h2 class="jobSectionHeader"><b>Dein Ansprechpartner</b></h2><div><div><h3 class="jobSectionHeader"><b>
Diana Wei&szlig;</b></h3><p>
Recruiterin</p><ul><li>
E-Mail:recruiting@mail.schwarz</li></ul></div></div></div>
<div><h2 class="jobSectionHeader"><b>Dein Bewerbungsprozess im &Uuml;berblick</b></h2><div><div><div><div>
1</div><h3 class="jobSectionHeader"><b>
Bewerbung</b></h3></div><div>
Wir lieben die Einfachheit. Bewirb dich schnell und unkompliziert digital, gerne auch ohne Registrierung.</div></div><div><div><div>
2</div><h3 class="jobSectionHeader"><b>
Checkup</b></h3></div><div>
Gemeinsam mit dem zust&auml;ndigen Fachbereich werfen wir einen Blick in deine Unterlagen.</div></div><div><div><div>
3</div><h3 class="jobSectionHeader"><b>
Kennenlernen</b></h3></div><div>
Bei einem ersten Kennenlernen liegt der Fokus sowohl auf deiner Pers&ouml;nlichkeit als auch auf deiner fachlichen Eignung.</div></div><div><div><div>
4</div><h3 class="jobSectionHeader"><b>
Vertragsangebot</b></h3></div><div>
Haben wir uns gegenseitig &uuml;berzeugt? Dann ist dein Arbeitsvertrag digital per Mail auf dem Weg zu dir.</div></div><div><div><div>
5</div><h3 class="jobSectionHeader"><b>
Willkommen</b></h3></div><div>
Dein erster Arbeitstag bei uns steht an und dein individuelles Onboarding im Team startet. Wir freuen uns auf dich!</div></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>Diese Stellen k&ouml;nnten auch interessant sein</b></h2></div><p></p><div><p>
</p><div><div><div><p>BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Senior Data Engineer - Google Cloud Platform Bad Friedrichshall (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP Business Intelligence Engineer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP BI Engineer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Mitarbeiter Cloud Engineering (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Product Owner Generative AI &amp; NLP (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Cloud Engineer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Software Engineer - IoT &amp; Data Engineering for AI (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Software Engineer - DevOps for AI (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>(Senior) Engineering Lead for AI Forecasting (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Software Engineer - Computer Vision (w/m/d)</b><b>(m/w/d)</b></h3></div></div></div></div></div></div></div><p></p>

Software Engineer Computer Vision (m/w/d)

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