DevOps Platform Engineer – AI Platforms Job at LGT Gruppe Holding AG (Zurich)

AI DevOps / Platform Engineer

Hermeus is a high-speed aircraft manufacturer focused on the rapid design, build...

Location

United States , Atlanta, GA / Los Angeles, CA

Salary:

105000.00 - 225000.00 USD / Year

Hermeus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
5+ years of professional experience in DevOps, platform engineering, or MLOps
Proficiency with CI/CD tools (GitHub Actions, GitLab, Jenkins, etc.)
Hands-on experience with AWS or equivalent cloud platforms
Strong scripting and automation skills (Python, Bash)
Experience with containers and orchestration (Docker, Kubernetes)
Demonstrated ability to integrate AI/ML or intelligent automation into engineering workflows

Job Responsibility

Design, implement, and maintain CI/CD pipelines for aerospace software and simulation environments
Integrate AI-driven tools into engineering workflows (e.g., intelligent code assistance, anomaly detection, automated testing frameworks)
Build and manage scalable cloud infrastructure (AWS or equivalent) to support R&D, simulation, and production environments
Develop monitoring, logging, and alerting systems enhanced by AI for predictive insights
Collaborate with aerospace, flight software, and test engineers to ensure seamless integration between software, hardware, and operations
Write efficient, maintainable, and well-documented infrastructure code (Python, Bash, IaC)
Conduct system reviews and implement best practices for secure and reliable operations
Stay up-to-date with emerging AI/ML and DevOps technologies, applying them to improve speed, safety, and scalability

Fulltime

AI and DevOps Platform Support Engineer

Engineer the future of global finance. At Citi, our Tech team doesn’t just suppo...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Project management with demonstrable results in improving IT services
Capacity Planning/Forecasting exposure a plus
Ability to plan and organize workload
Consistently demonstrates clear and concise written and verbal communication skills
Excellent analytical and problem-solving skills, with the ability to thrive in a fast-paced support role
Strong communication skills and the ability to explain complex technical concepts to diverse audiences
A strong track record of developing and executing a strategic roadmap for a technical platform, balancing new features with a dedicated 'book of work' for stability
Demonstrable experience leading resilience initiatives such as wargaming, disaster recovery planning, and incident response simulation
Demonstrated experience in designing and implementing disaster recovery (DR) plans and conducting resilience tests (e.g., wargaming, failure simulation)
A creative and proactive mindset with a demonstrated ability to identify opportunities for process improvement and automation using AI/ML techniques

Job Responsibility

Ensuring the stability, reliability, and performance of our critical AI and DevOps platforms
Manage incident and problem resolution and collaborate with engineering and development teams to improve platform services and supportability
Vendor relationship management including oversight for all offshore managed service
Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices
Guide development teams on application stability and supportability improvements
Formulate and implement a framework for managing capacity, throughput and latency
Define and implemented application on-boarding guidelines and standards
Work with various team members on coaching them on how to maximize their potential
Drives continued cost reductions and efficiencies across the portfolios supported
Evaluates subordinates' performance and makes decisions on pay increases, hiring, terminations and other personnel actions

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

New

Senior Azure DevOps / AI Platform DevOps Specialist

Ottawa based: Seeking an experienced Senior Azure DevOps / AI Platform DevOps Co...

Location

Canada , Saint-Laurent

Salary:

Not provided

Randstad

Expiration Date

September 04, 2026

Requirements

Proven experience deploying, managing, and optimizing applications and platforms in Microsoft Azure
Strong hands-on experience with Kubernetes, including cluster operations, workload deployment, and platform best practices
Strong understanding of networking and security, particularly in cloud and containerized environments
Demonstrated success designing and maintaining GitLab CI/CD pipelines for enterprise-scale applications and services
Strong scripting and automation capability using Python, with Bash or similar scripting also desirable
Experience integrating solutions with enterprise systems, including identity, authentication, and access management components
Strong troubleshooting skills with a proactive approach to reliability, operational support, and continuous improvement
Ability to communicate effectively with both technical and non-technical stakeholders
Desirable experience supporting AI/ML or Agentic AI workloads in production
Experience: Minimum 5 years of relevant experience in DevOps or Cloud Engineering roles

Job Responsibility

Implement and optimize DevOps practices within an Azure cloud environment, ensuring security, scalability, resilience, and reliability
Design, build, and maintain robust GitLab CI/CD pipelines to accelerate software delivery, infrastructure automation, and production deployment
Support the deployment and operation of containerized workloads using Kubernetes and/or OpenShift, applying platform engineering and operational best practices
Contribute to the design and delivery of AI/Agentic AI DevOps capabilities, enabling secure, production-ready deployment of AI workloads and supporting associated infrastructure and controls
Drive automation for infrastructure provisioning, configuration, and deployment using Infrastructure as Code principles and repeatable engineering practices
Collaborate closely with development, operations, security, and enterprise platform teams to troubleshoot and resolve complex live performance, stability, and integration issues, while implementing preventative improvements
Support release planning, deployment scheduling, and operational readiness for cloud-hosted and AI-enabled applications
Provide technical guidance and recommendations to engineering teams based on operational analysis, observability data, and platform monitoring insights
Ensure solutions align with enterprise requirements for security, authentication, access control, governance, and integration with corporate systems
Stay current with emerging DevOps, Azure, Kubernetes, and AI platform technologies, sharing knowledge and mentoring team members where appropriate

Fulltime

Azure Data Science Platform Engineer (AI)

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary! We a...

Location

Japan , Tokyo 23 wards

Salary:

7000000.00 - 12000000.00 JPY / Year

Randstad

Expiration Date

February 29, 2028

Requirements

Bilingual proficiency in Japanese and English is preferred (English is a MUST)
Day-to-day communication will primarily be in English, with occasional interaction with Japanese-speaking stakeholders
6+ years of experience in data science, machine learning, advanced analytics, or applied AI, with demonstrated business results
Strong experience taking solutions from development into production and supporting them in live environments
Strong Python programming skills and solid engineering discipline
Experience with GenAI / LLM use cases or solution delivery
Hands-on experience with Azure for deploying, supporting, or operating production workloads
Strong experience with Terraform and Infrastructure as Code in enterprise cloud environments
Experience with CI/CD, GitHub Actions, deployment automation, and DevOps practices
Experience with SRE, MLOps, or LLMOps, particularly in monitoring, incident handling, reliability, and operational support

Job Responsibility

We are looking for a candidate who combines strong data science delivery capability with practical production and operational ownership
This is not a pure research role and not a pure platform role. It is intended for someone who can build business-facing AI/ML solutions and also help ensure those solutions are deployable, stable, and maintainable
The ideal candidate is proactive, technically hands-on, comfortable working independently, and effective in cross-functional enterprise environments.

What we offer

WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!
健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

Ai DevOps Engineer

The AI DevOps Engineer will play a critical role in designing, deploying, and sc...

Location

United States , Los Angeles

Salary:

160000.00 - 185000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Strong experience building and managing CI/CD pipelines (e.g., GitHub Actions or similar)
Hands-on experience with major cloud platforms (AWS, Azure, or GCP)
Experience with infrastructure automation and containerization concepts
Knowledge of AI/ML deployment workflows and operational best practices
Strong understanding of system reliability, monitoring, and observability tools
Experience implementing secure infrastructure and access control frameworks
Excellent communication skills with the ability to collaborate across technical and business teams

Job Responsibility

Design and implement CI/CD pipelines for AI applications and services
Build and manage scalable AI deployment frameworks and infrastructure
Establish best practices for AI operations, including monitoring, reliability, and cost optimization
Automate infrastructure provisioning and configuration using modern DevOps tools
Develop observability solutions to ensure high system performance and uptime
Implement secure deployment practices and maintain strong access controls
Operationalize AI platforms and integrate them into business workflows
Collaborate with cross-functional teams to identify opportunities for AI-driven scaling
Educate internal stakeholders on AI capabilities, tools, and operational best practices
Contribute to long-term infrastructure and AI platform strategy

What we offer

Discretionary bonus
Annual bonus eligibility
Comprehensive health benefits including medical, dental, and vision coverage
Additional perks and employee-focused programs

Fulltime

Artificial Intelligence (AI) Platform Engineer

We are looking for an Artificial Intelligence (AI) Platform Engineer to support ...

Location

United States , Marysville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience building and supporting AI or machine learning platforms in a cloud-based enterprise environment
Hands-on knowledge of machine learning concepts and AI solution delivery, including model integration and operational support
Proficiency with TensorFlow and related tools used for developing or deploying AI applications
Experience working with computer vision or detection-based solutions in production or large-scale environments
Strong understanding of APIs, infrastructure automation, and platform engineering best practices
Ability to monitor, troubleshoot, and optimize distributed systems for reliability, security, and performance
Experience collaborating with cross-functional technical teams to deliver reusable and scalable platform capabilities
Bachelor's degree in Computer Science, Engineering, or related field
2–5 years of experience in software or cloud engineering
All applicants applying for U.S. job openings must be legally authorized to work in the United States

Job Responsibility

Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments
Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently
Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale
Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort
Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs
Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability
Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability
Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Fulltime

Senior Backend Python Engineer - AI Platform

Are you looking for a career move that will put you at the heart of a global fin...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proficiency in core Python and FastAPI framework
Profound understanding of software design principles, architectural patterns, and an unwavering commitment to writing clean, maintainable, and production-grade code
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems
Experience with containerized deployment (Kubernetes, OpenShift etc)
Experience with DevOps, CI/CD and agile methodology

Job Responsibility

You will design, implement, build and deploy backend systems to automate the analysis of data, code and documentation, and structure the extracted knowledge in a Credit Risk Domain aware knowledge graph

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Ai devops engineer (rpa)

As an AI DevOps Engineer, you will design, build, and evolve the AI-PDLC platfor...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, SRE, or platform engineering
Strong experience with CI/CD pipelines (Jenkins, Harness)
Experience with Docker and Kubernetes
Experience working with AWS
Programming or scripting experience (Python, Java, or Bash)
Experience with repository and artifact management tools (e.g., Bitbucket, Nexus)
English proficiency at B1+ level or higher

Job Responsibility

Design and maintain CI/CD pipelines across the full delivery lifecycle (spec → code → test → deploy)
Implement and manage infrastructure as code and GitOps-based deployment strategies
Develop and manage AI agents that convert EARS specifications into tests, automation, and code validation
Integrate Claude Code, AWS Kiro, and other AI tools into development workflows
Improve agent accuracy, performance, and lifecycle management
Improve performance, reliability, and scalability of pipelines and platform components
Embed quality and security checks into delivery pipelines and ensure end-to-end traceability
Automate testing processes, including edge cases and negative scenarios
Build and maintain containerized environments for development and testing
Implement monitoring, logging, and tracing to ensure system observability

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Select Country

DevOps Platform Engineer – AI Platforms

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?