CrawlJobs Logo

Cloud Platform Engineer with a focus on Azure and AI automation

nttdata.com Logo

NTT DATA

Location Icon

Location:
Romania , Cluj

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We’re building an internal, AI‑powered developer platform designed to help engineering teams deliver software faster, more safely, and with greater confidence. The platform offers reusable workflow templates, AI‑assisted automation, CLI tooling, documentation, and evaluation pipelines-everything teams need to adopt AI‑enhanced engineering practices in a secure and scalable way. You will not be a dedicated security engineer, but you will be expected to think carefully about how workflows can be abused, how agents can misbehave, how secrets can leak, and how permissions should be constrained. You should care about what happens when automation fails, when an AI agent produces unsafe output, or when a workflow is used in an unexpected way. We are looking for an AI-native platform engineer who can build the tools and workflows that help engineering teams adopt AI safely and effectively. You should enjoy building reusable systems, improving developer experience, automating repetitive work, and turning fast-moving AI capabilities into practical engineering infrastructure. We’re looking for someone already fluent with modern AI‑native development tools. You should be comfortable using tools like GitHub Copilot, Cursor, Windsurf, Kiro, or similar to prototype, build, review, and iterate quickly.

Job Responsibility:

  • Build AI-Powered Developer Workflows
  • Develop Internal Platform Capabilities
  • Own AI Evaluation and Quality Gates
  • Support Secure and Scalable Platform Operations
  • Drive Adoption Across Engineering Teams

Requirements:

  • BSc/MSc in Computer Science or related field
  • Minimum 3-5+ years as a Platform Engineer
  • Infrastructure-as-code tools such as Terraform, Bicep, Pulumi, or CDK
  • Proficient with AI‑assisted development tools - You regularly use AI coding tools or agentic workflows to accelerate software delivery
  • Strong prompt‑crafting and AI evaluation skills- You can design effective prompts, critically assess AI‑generated code, and understand when AI tools are dependable versus when human oversight is required
  • CI/CD and automation expertise - You have hands‑on experience building and maintaining automated pipelines
  • Deep knowledge of GitHub Actions or similar systems - You are comfortable with reusable workflows, composite actions, pipeline‑as‑code patterns, and automated validation
  • Python engineering capability- You can build evaluation scripts, custom validators, SDK integrations, automation utilities, and platform tooling
  • Practical prompt engineering experience - You’ve designed, tested, and iterated on prompts within real engineering workflows
  • Identity and security fundamentals — You understand OIDC, workload identity federation, secrets management, least‑privilege access, and secure automation patterns
  • Configuration‑as‑code proficiency — You work comfortably with YAML, Markdown, declarative configuration, and docs‑as‑code practices

Nice to have:

  • AI evaluation frameworks such as Azure AI Evaluation SDK, promptfoo, RAGAS, DeepEval, or similar
  • Agentic AI frameworks such as LangChain, CrewAI, AutoGen, OpenAI Assistants API, or similar
  • Internal developer platforms, developer tooling, or Developer Experience engineering
  • Software supply chain security concepts such as dependency scanning, action pinning, and SBOMs
  • Statistical methods for evaluating non-deterministic systems
  • AI safety and adversarial testing, including prompt injection and OWASP Top 10 for LLM applications
  • Static site generators and docs-as-code pipelines
  • Open-source contributions to developer tooling or automation projects
What we offer:
  • Smooth integration and a supportive mentor
  • Pick your working style: choose from Remote, Hybrid or Office work opportunities
  • Different working hours to suit your needs
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance custom-made for you
  • Individual coaching sessions or accredited Coaching School
  • Epic parties or themed events

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Cloud Platform Engineer with a focus on Azure and AI automation

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...
Location
Location
Spain , Barcelona
Salary
Salary:
Not provided
https://www.allianz.com Logo
Allianz
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
  • Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
  • In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
  • Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
  • Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
  • Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
  • Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.
Job Responsibility
Job Responsibility
  • Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
  • Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
  • Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
  • Ensure all solutions meet defined quality standards and acceptance criteria
  • Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
  • Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
  • Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
  • Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
  • Prepare materials for management briefings and public events
  • Represent the team in technical discussions, particularly regarding architecture and platform capabilities.
What we offer
What we offer
  • Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
  • Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
  • Career development and digital learning programs to international career mobility
  • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
  • Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - AI

Senior Software Engineer role focused on AI and data-driven systems to transform...
Location
Location
Sweden , Malmö
Salary
Salary:
Not provided
https://www.ikea.com Logo
IKEA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Software development principles
  • Programming language skills
  • Experience with Python (object-oriented)
  • Experience with REST-based frameworks like FastAPI
  • Frontend development skills
  • Cloud platform experience (Azure preferred)
  • Infrastructure-as-code experience (Terraform)
  • GitHub Actions for automation
  • Testing and quality focus
  • Experience with SSO, permissions, and access control
Job Responsibility
Job Responsibility
  • Design and develop cloud-based products
  • Build and evolve global application using AI and data
  • Enrich content with meaningful metadata
  • Create solutions for presenting and managing product information
  • Collaborate with cross-functional Agile team
  • Implement digital solutions for omnichannel content
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...
Location
Location
United States
Salary
Salary:
200000.00 - 280000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems
  • Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Develop and optimize prompting strategies
  • Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems
  • Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
  • Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows
  • Develop systems that maintain conversational context across complex multi-turn interactions
  • Build scalable large language model and agentic platforms
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...
Location
Location
Serbia; Romania , Belgrade; Timișoara
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
  • Bachelors degree or equivalent focusing on the computer science field is preferred
  • Excellent communication and collaboration skills
  • Expert knowledge of Python
  • Experience with CI/CD tools (e.g., GitLab, Jenkins)
  • Hands-on experience with Kubernetes, Docker, and cloud services
  • Understanding of ML training pipelines, data lifecycle, and model serving concepts
  • Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
  • A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch)
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
  • Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
  • Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
  • Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
  • Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
  • Build out documentation in relation to architecture, policies and operations runbooks
  • Share skills, knowledge, and expertise with members of the data engineering team
  • Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
  • Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
  • Ensure that the developed solutions meet project objectives and enhance user experience
  • Fulltime
Read More
Arrow Right

Principal Automation Engineer

We are seeking a Principal Automation Engineer to lead and drive innovation in a...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, cybersecurity, data science, or related engineering field
  • proven experience (8+ years) in cybersecurity, with at least 3+ years in automation-focused roles
  • deep understanding of cybersecurity frameworks and concepts, including attack vectors, threat landscapes, and defence mechanisms
  • strong experience with SIEM/SOAR/ and EDR/XDR platforms and tools
  • experience in Machine Learning (ML) and Agentic AI applied for security use-cases
  • experience with anomaly detection, behavioural modeling, and predictive analytics in cybersecurity contexts
  • experience integrating machine learning models into security operations workflows in enterprise environments
  • proficiency in languages such as Python, Go, SPL, YaraL, and building automation frameworks
  • hands-on experience with big data technologies and cloud environments (AWS, Azure, GCP)
  • familiarity with regulatory requirements and compliance frameworks (e.g., GDPR, NIST, ISO 27001)
Job Responsibility
Job Responsibility
  • Drive the SOAR development lifecycle, in support of security operations and engineering teams
  • develop SOAR playbooks and logic
  • build integrations across SIEM, SOAR, EDR, identity platforms, and cloud-native services
  • write, test, and maintain automation scripts and workflows
  • deliver API solutions for SOC and enterprise Business Units
  • design and implement reusable automation services, APIs, and playbooks
  • maintain documentation for scripts, integrations, and workflows
  • debug and resolve technical issues in the automation lifecycle
  • apply advanced analytics, Machine Learning, and AI for security automation
  • partner with SOC/IR leadership and IT stakeholders to gather SOAR requirements and develop solutions
What we offer
What we offer
  • Health and wellbeing benefits
  • career development programs
  • unconditional inclusion
  • flexibility to manage work and personal needs
  • Fulltime
Read More
Arrow Right

Systems Engineer II (Automation/AI)

PagerDuty is seeking a Systems Engineer II (Automation/AI) to join our diverse, ...
Location
Location
Canada , Toronto
Salary
Salary:
83000.00 - 125000.00 CAD / Year
https://www.pagerduty.com Logo
PagerDuty
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in an IT support environment
  • 3-5+ years of experience in a systems administration/engineering role with a focus on automation
  • Solid understanding of Agentic and Generative AI concepts and platforms
  • Experience working with IAM tools (Entra, AzureAD, Okta) and processes (account lifecycle, permissions, privileged account management)
  • Experience working in a cloud environment (Azure, GCP, and/or AWS)
  • Provide support to employees across the globe using ITSM solutions such as Jira as Tier 2 support
  • Experience with Workato or similar automation tools (Zapier, etc)
  • Advanced Automation skills: Implementing more complex workflows and approval processes
  • Proficiency in Windows and MacOS operating systems
  • Experience with configuration management tools (e.g., Intune, JAMF)
Job Responsibility
Job Responsibility
  • Develop and maintain processes and automation processes to streamline business/productivity tasks for PagerDuty employees
  • Administrate and iterate on our GenAI/AgenticAI programs
  • Look for areas of improvement to accelerate AI adoption throughout the company
  • Work with other IT members to advance our IAM programs, have solid understanding of authentication protocols and processes (SCIM/SAML/etc)
  • Provide technical support and troubleshooting for desktop-related issues, ensuring minimal downtime and disruption for employees
  • Work closely with other IT team members, including network and security engineers, to ensure seamless integration and operation of desktop environments
  • Maintain comprehensive documentation of desktop configurations, procedures, and troubleshooting steps
  • Assist in the creation and delivery of training materials to help employees effectively use their laptops and related software
What we offer
What we offer
  • Competitive salary
  • Comprehensive benefits package from day one
  • Flexible work arrangements
  • Company equity
  • ESPP (Employee Stock Purchase Program)
  • Retirement or pension plan
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer

As a Senior Platform Engineer on our Platform Core team, you'll own critical inf...
Location
Location
United States
Salary
Salary:
131000.00 - 194000.00 USD / Year
anaconda.com Logo
Anaconda
Expiration Date
December 02, 2026
Flip Icon
Requirements
Requirements
  • Strong experience working with Kubernetes, Helm, and related open source tooling
  • Advanced experience working in cloud environments (AWS, Azure, etc.) or on-premise servers
  • High familiarity with core infrastructure concepts: storage, CI/CD, networking, observability, security, and Linux systems
  • Proficiency coding using IaC (e.g. Terraform, CDK, etc.) and imperative languages (Python, Go)
  • Experience with production systems: on-call participation, incident response, and root-cause analysis
  • Demonstrated ability to own a service or infrastructure component end-to-end and drive meaningful improvements in reliability, performance, or developer experience
  • A self-starter mentality comfortable in dynamic environments with a strong instinct to reduce toil and automate workflows
  • Strong written and verbal communication skills
  • ability to document technical decisions and explain complex concepts through ADRs, SDDs, and architecture diagrams.
  • Ability to foster an environment where all people can be curious by default, build collaboratively, practice absolute accountability, and innovate relentlessly
Job Responsibility
Job Responsibility
  • Design, build, and improve infrastructure components supporting both our SaaS and self-hosted enterprise products, focusing on stability, efficiency, and a strong experience for our internal and external users
  • Own services and subsystems end-to-end, taking responsibility for their reliability, performance, and operational excellence through design, implementation, and monitoring
  • Collaborate with other Engineering and Product teams to troubleshoot cross-layer issues and ensure platform readiness for new features and AI workloads
  • Empower developers by automating workflows, providing robust tooling, and creating best practice documentation that enables self-service and autonomous delivery
  • Monitor and support production systems by participating in on-call rotations, responding to incidents, and conducting proactive system health reviews
  • Contribute to both planned infrastructure initiatives and ad-hoc requests, maintaining flexibility while driving continuous platform improvements
  • Engage in team communication channels (Slack, meetings, code reviews, demos) to share knowledge, provide feedback, and coordinate efforts
What we offer
What we offer
  • Flexible Vacation Policy
  • Medical, Dental, and Vision Insurance
  • Short Term and Long Term Disability
  • Paid Parental Leave
  • Monthly Wellness Stipend
  • Employee Assistance Program and Mental Health Resources
  • Annual bonus potential
  • Equity participation
  • Fulltime
Read More
Arrow Right

Principal Consultant A2 - Infra

Microsoft Industry Solution - Global Center Innovation and Delivery Center (GCID...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, or related field AND 3+ years leadership experience in relevant area of business. Higher Education Preferred
  • OR master’s degree in computer science, Information Technology, Engineering, or related field AND 6+ years’ experience in technology solutions, practice development, architecture, consulting, and/or Cloud Infrastructure domain
  • Highly proficient & solid Customer facing Project experience involving solution design, project envisioning, planning, development, and deployment of complex solutions with minimum of 10 plus years
  • Must have a proven record of delivering technical solutions
  • 2+ years managing multiple projects or portfolios
  • 1+ year(s) experience leading blended, multidisciplinary teams
  • Preferred Qualifications: Overall minimum 20+ Year of industry experience
  • Technical or Professional Certification in Cloud Infrastructure domain
  • Open to travel domestically and internationally and work with different cultures and customers
  • Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics)
Job Responsibility
Job Responsibility
  • AI-First Delivery Leadership: Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
  • Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
  • Drive engineering excellence through reusable components, accelerators, and scalable architecture
  • Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
  • Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
  • Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
  • Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
  • Ability to step into at risk projects, quickly assess issues, and establish a credible path to recovery or exit
  • Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
  • Ensure adherence to coding standards, architectural integrity, and performance benchmarks
  • Fulltime
Read More
Arrow Right