CrawlJobs Logo

AI DevOps Engineer

boeing.com Logo

Boeing

Location Icon

Location:
Canada , Richmond

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

74000.00 - 132000.00 CAD / Year

Job Description:

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Vancouver is seeking an AIDevOps Engineer, reporting to the Senior Manager of Data Science & Analytics working out of the Richmond, BC office. The position will be based from our Richmond, British Columbia office, and a hybrid work style is offered. The successful candidate will possess a keen enthusiasm for AI, ML and data analytics. The role will be responsible for the construction, health, and improvement of AI and ML pipelines in a high security cloud environment. The position will be embedded in a multidisciplinary data science DevOps team to develop and support advanced analytics applications. Successful candidates will assist the data science team in converting industry-leading analytics initiatives into product platforms which in turn support diverse and interesting customer aircraft programs. The dynamic and rapidly advancing technologies in the world of cloud-based deployment require engineers that proactively stay up to date with new technologies and are always refining their craft. The AIDevOps Engineer will work closely with a team to ensure high availability and redundancy of all systems. The position will involve improving our build pipeline and ensuring successful delivery of new releases, developing infrastructure code, building for scalability and reusable micro-services, and ultimately leading expansions to new customer use cases.

Job Responsibility:

  • Communicate effectively with other roles and skillsets, including data scientists, developers and product owners
  • Lead a cloud transformation for a portfolio of high-profile applications
  • Help architect, design, and ultimately build scalable, reliable, and high-performance systems and environments
  • Evangelize DevOps throughout the work, organization, and interactions with others
  • Effectively contribute to building the overall knowledge and expertise of the technical team
  • Support production of AI and ML applications
  • Implement and support continuous integration and continuous delivery (CI/CD)
  • Design and build monitoring solutions and services
  • Develop cloud infrastructure/platform code
  • Promote test-driven development
  • Implement systems to monitor system health, data quality and scientific performance
  • Monitor health of the application and environment, and act to return system to health when alerted
  • Implement access-control and security systems
  • Contribute to technical documentation

Requirements:

  • Minimum 3 years’ Software Development experience
  • Minimum 2 years’ Cloud deployment experience (Azure preferred)
  • Experience with development, deployment and version control tools (e.g. Gitlab, Atlassian)
  • Experience with continuous integration tools (e.g., Jenkins/Gitlab CI/CD)
  • Experience using modern database and storage systems (e.g. data mesh, blob storage, knowledge graphs)
  • Experience supporting an AI or ML development team
  • Must be eligible for authorization under the Canadian Controlled Goods Program
  • Must be legally able to work in Canada
  • Individuals must not pose a risk for safeguarding controlled goods
  • Must be eligible to handle US export-controlled data

Nice to have:

  • Experience with modern AI and ML technologies (Databricks, Dataiku, Unity Catalogue)
  • Experience with cloud-deployed APIs and micro-services
  • Experience with infrastructure as code (IaC), preferably using Terraform
  • Experience with secure system-to-system communication in the cloud
  • Knowledge of Platform-as-a-Services offerings like Cloud Foundry
  • Experience with container orchestration using Kubernetes or similar
  • Experience with data models and database design
  • Experience operating in a production environment
  • Experience with monitoring and logging tools, especially in the context of zero-trust architecture
  • Understanding of service mesh architectures and related technologies
  • Familiarity with static code analysis tools, such as Coverity
  • A technical degree/diploma in a related field of study
What we offer:
  • Competitive base pay and incentive programs
  • Industry-leading tuition assistance program pays your institution directly
  • Resources and opportunities to grow your career
  • Up to $10,000 match when you support your favorite nonprofit organizations

Additional Information:

Job Posted:
January 18, 2026

Expiration:
January 21, 2026

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

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

Briefcase Icon

Similar Jobs for AI DevOps Engineer

Senior Devops & AI Engineer

This role presents a unique opportunity to contribute to the future of impactful...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
fissionlabs.com Logo
Fission Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 6+ years of experience in Infrastructure Mgmt. roles, with a focus on cloud platforms (Azure and AWS Preferred)
  • Hands-on experience with operations (DevSecOps) principles and best practices
  • Proficiency in scripting languages such as Python, PowerShell, or Bash
  • Excellent communication and collaboration skills
  • In-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat, with expertise in shell scripting, package management, and system administration
  • Hands-on experience with a wide range of AWS and Azure services
  • Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation
  • Experience setting up cloud infrastructure stack, databases, service endpoints, GPU as well as CPU resource scaling, optimization etc.
  • Should have worked AIOps/MLOP
Job Responsibility
Job Responsibility
  • Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration
  • Architect cloud solutions leveraging best practices and services offered by AWS and Azure, optimizing for scalability, reliability, and cost-effectiveness
  • Implement and manage hybrid cloud environments, facilitating seamless integration and interoperability between AWS and Azure services
  • Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes
What we offer
What we offer
  • Opportunity to work on impactful technical challenges with global reach
  • Vast opportunities for self-development, including online university access and knowledge sharing opportunities
  • Sponsored Tech Talks & Hackathons to foster innovation and learning
  • Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
  • Supportive work environment with forums to explore passions beyond work
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
groupon.com Logo
Groupon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
  • Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
  • Expertise in scripting and automation (Python, Go, or Bash)
  • Solid understanding of container technologies, Kubernetes, and cloud build systems
  • Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
  • Excellent communication and ability to drive technical decisions across multiple platform and product teams
Job Responsibility
Job Responsibility
  • Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
  • Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
  • AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
  • Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
  • Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
  • Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
  • Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture
Read More
Arrow Right

Principal AI Engineer

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...
Location
Location
Israel , Netanya/Tel Aviv
Salary
Salary:
Not provided
jfrog.com Logo
JFrog
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor's degree or higher in Computer Science, Data Science, or a related field
  • Proven experience in software development
  • Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
  • Experience with cloud platforms, such as AWS, Google Cloud, or Azure
  • Proficiency in Python programming
  • Experience deploying LLM-based applications in a production environment
  • Excellent problem-solving and analytical skills
  • Experience with CI / CD tools
  • Strong communication skills and the ability to collaborate effectively in a team
Job Responsibility
Job Responsibility
  • Recommend and test agentic productivity tools
  • Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions
  • Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation
  • Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
  • Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
  • Define meaningful KPIs and closely monitor cost
Read More
Arrow Right

Senior Software Engineer - Build AI Tools

This role sits within the newly formed GenAI Security team, which is responsible...
Location
Location
United Kingdom , Belfast
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Highly motivated self-starter with excellent interpersonal and problem-solving skills
  • Bachelor’s degree or equivalent work experience
  • Good oral and written communication skills
  • Significant relevant industry work experience
  • Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
  • Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
  • Expertise in designing and implementing secure APIs and libraries
  • Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus
  • Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps
  • Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems
Job Responsibility
Job Responsibility
  • Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections
  • Building and automating a security testing framework to validate protection mechanisms for various LLM use cases
  • Owning solutions that are expected to operate and perform at scale across the organisation
  • Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones
What we offer
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
Read More
Arrow Right

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
  • 9+ years of experience in AI/ML engineering or related roles
  • 3+ years of experience in Generative AI with team leadership responsibilities
  • Proven track record of production-grade ML and GenAI model development and deployment
  • Programming: Python (preferred)
  • GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
  • Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
  • Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
  • MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
  • Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
  • Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
  • Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
  • Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
  • Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
  • Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
  • Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
  • Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
  • Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
  • Work closely with cross-functional teams to gather requirements and deliver high-quality solutions
What we offer
What we offer
  • Competitive salary aligned with market standards
  • Opportunities for professional development and skill enhancement
  • A collaborative and innovative work environment
  • Fulltime
Read More
Arrow Right

DevOps Quality Engineer

Engineer reliability at scale. We’re looking for a DevOps Quality Engineer who t...
Location
Location
Bulgaria , Sofia
Salary
Salary:
Not provided
ebrd.com Logo
European Bank for Reconstruction and Development
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Holds ISTQB Foundation as a minimum
  • Advanced Test Analyst or equivalent certifications desirable
  • Qualification in IT Service Management (ITIL v3 or v4 Foundation) or demonstrable experience integrating QA practices into ITSM processes
  • Familiar with the NIST Cybersecurity Framework (CSF) and Digital Operational Resilience Act (DORA), with practical awareness of how they influence quality standards and assurance planning
  • Demonstrates solid understanding of automation and non-functional testing concepts, including performance, accessibility, and shift-left/shift-right practices
  • Experience working within Agile, DevOps, and product-aligned teams, contributing to sprint-based delivery and continuous integration testing strategies
  • Proficient in test tooling and CI/CD frameworks including Azure DevOps, Selenium, Cypress, Jenkins, Git, and test management platforms such as TestRail or Zephyr
  • Familiarity with AI/ML use cases in quality engineering, including AI-assisted test case generation, defect clustering, and predictive analytics
  • Strong communication and collaboration skills, with the ability to explain test scenarios, defects, and coverage to technical and non-technical stakeholders
  • Awareness of security, compliance, and resilience considerations such as OWASP Top 10, ISO 27001, GDPR, and DORA, with practical experience embedding these into quality practices
Job Responsibility
Job Responsibility
  • Plans and performs testing of infrastructure changes, configuration updates, and cloud deployments across data centres, branch offices, and Azure environments, ensuring functional and non-functional validations
  • Collaborates with DevOps, Infrastructure, and Cloud Platform teams to verify IaC deployments, perform smoke testing post-deployment, and document any issues in platform reliability
  • Writes and maintains basic automation scripts or checklists for network, AV, and platform components, contributing to regression detection and provisioning assurance
  • Investigates environment or deployment defects, escalates issues with supporting diagnostics, and retests fixes with attention to uptime, latency, and failover coverage
  • Engages in sprint reviews and planning sessions, raising risks tied to infrastructure changes, recommending testing scope for AV, cloud services, or network resilience improvements
What we offer
What we offer
  • Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in
  • A working culture that embraces inclusion and celebrates diversity
  • An environment that places sustainability, equality and digital transformation at the heart of what we do
  • Fulltime
Read More
Arrow Right

Founding DevOps Engineer

As a Founding Engineer with a DevOps focus, you will play a central role in buil...
Location
Location
France , Paris
Salary
Salary:
60000.00 - 80000.00 EUR / Year
bluselection.com Logo
Blu Selection
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong full-stack engineering background with a DevOps mindset
  • Hands-on expertise in cloud platforms (GCP ideal): deployments, infra, CI/CD
  • Proficient in TypeScript and Python
  • Experienced with React, Next.js, and FastAPI
  • Solid knowledge of PostgreSQL and Redis
  • Ability to design scalable systems and deliver production-grade code quickly
  • Comfortable using AI-assisted coding tools (Cursor, Claude Code, Copilot)
  • Thrives in fast-moving, ambiguous, 0→1 environments
  • Fluent in English (French is a plus)
Job Responsibility
Job Responsibility
  • Build fast, lightweight, and reliable front-end applications (React)
  • Develop backend services powering conversational and AI-driven experiences
  • Design and maintain scalable cloud infrastructure (preferably GCP)
  • Set up CI/CD pipelines, observability, monitoring, and infra-as-code
  • Optimize performance, reliability, and security across systems
  • Own core architectural decisions and enforce best engineering practices
  • Ensure code quality, stability, and scalability from the ground up
  • Collaborate closely with early users and customers to iterate quickly
  • Fulltime
Read More
Arrow Right

Senior DevOps Engineer (GCP)

Our client is a global UK-based financial services and investment banking organi...
Location
Location
Salary
Salary:
Not provided
n-ix.com Logo
N-iX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in DevOps, Cloud Engineering, or SRE roles
  • Strong hands-on experience with Google Cloud Platform, including: GKE / Kubernetes, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, VPC, IAM, networking, security
  • Expertise in Terraform, Helm, or other IaC tools
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, Jenkins, etc.)
  • Strong understanding of containerization and orchestration: Docker, Kubernetes
  • Solid experience with monitoring, observability, and logging stacks
  • Familiarity with networking, load balancing, security hardening, and zero-trust principles
  • Experience supporting production systems in high-availability, distributed environments
  • Strong scripting skills (Python, Bash, or similar)
  • Experience working with agile engineering teams
Job Responsibility
Job Responsibility
  • Design, implement, and maintain cloud infrastructure on Google Cloud (GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage)
  • Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
  • Develop infrastructure-as-code using Terraform or similar tools
  • Set up and maintain container orchestration (Kubernetes, GKE) and automated deployment workflows
  • Implement monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK/Elastic, Stackdriver, or OpenTelemetry
  • Ensure compliance with security and governance standards across all environments
  • Collaborate closely with engineering teams to ensure scalable, high-performance deployment architectures
  • Support AI/ML and GenAI workloads (Vertex AI pipelines, model hosting, GPU workloads, inference optimization)
  • Manage environment strategies, release pipelines, configuration management, and secrets management
  • Optimize cloud costs and recommend improvements for performance and reliability
What we offer
What we offer
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
Read More
Arrow Right