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Cloud Platform DevOps Engineer

https://www.citi.com/ Logo

Citi

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Location:
Canada , Mississauga

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Contract Type:
Not provided

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Salary:

94300.00 - 141500.00 USD / Year

Job Description:

We are seeking an experienced (5+ years), motivated, and hands-on Cloud Platform DevOps Engineer to join our North American AI and DevOps Platform Engineering team. In this critical role, you will be responsible for enhancing the stability, reliability, and performance of our AI and DevOps platforms, which support a diverse ecosystem of AI applications, developer tools, and CI/CD pipeline technologies across the organization. You will actively contribute to infrastructure design, implementation, and maintenance, and facilitate agile development within the team. The ideal candidate is a strong technical leader who champions agile practices, drives continuous improvement, and excels in both coding and coaching, possessing a deep understanding of infrastructure and operational considerations for Artificial Intelligence and Machine Learning initiatives, with proven hands-on experience in DevOps tools and technologies such as Kubernetes, Docker, HELM, Ansible, DevOps tools, or similar CI/CD platforms, and proficiency in scripting and automation (e.g., Python, Bash). We are looking for someone with a track record of implementing scalable, resilient, and high-performance solutions, coupled with strong communication and collaboration skills, and an ability to mentor and guide junior team members, as you join a dynamic team committed to fostering innovation and collaboration.

Job Responsibility:

  • Lead the design, implementation, and ongoing management of secure, scalable, and resilient infrastructure components
  • Administer and maintain secret and certificate management solutions using HashiCorp Vault
  • Perform hands-on administration and optimization of database systems (PostgreSQL, Oracle, MongoDB)
  • Deploy, monitor, and troubleshoot data orchestration workflows using Apache Airflow
  • Implement and manage messaging queues such as Kafka and IBM MQ
  • Develop, maintain, and troubleshoot RESTful API and SOAP integrations
  • Implement and optimize build and deployment processes using Gradle
  • Design, implement, and manage container orchestration platforms with Kubernetes and Helm
  • Configure and manage persistent storage solutions including PVC, SONiC NAS, and S3
  • Set up and maintain load balancing solutions (e.g., Nginx, HAProxy, AWS ELB/ALB, Kubernetes Ingress controllers)
  • Implement, configure, and utilize comprehensive monitoring and logging solutions (Prometheus, Grafana, ELK Stack)
  • Develop robust automation scripts and tools using Python, Bash, Go, or similar languages
  • Participate actively in on-call rotations
  • Create and maintain technical documentation, architecture diagrams, and runbooks
  • Proactively identify and resolve technical impediments and process bottlenecks
  • Collaborate closely with stakeholders to ensure a well-defined and prioritized backlog
  • Drive continuous improvement in the team's agile and DevOps practices

Requirements:

  • 5+ years of experience
  • Experience in infrastructure design, implementation, and maintenance
  • Agile development
  • Understanding of infrastructure and operational considerations for AI and Machine Learning initiatives
  • Hands-on experience with Kubernetes, Docker, HELM, Ansible, DevOps tools, or similar CI/CD platforms
  • Proficiency in scripting and automation (e.g., Python, Bash)
  • Track record of implementing scalable, resilient, and high-performance solutions
  • Strong communication and collaboration skills
  • Ability to mentor and guide junior team members
  • Proven hands-on experience with HashiCorp Vault
  • Strong hands-on experience with at least two of PostgreSQL, Oracle, or MongoDB
  • Hands-on experience deploying, managing, and developing DAGs for Apache Airflow
  • Solid hands-on experience with Kafka and/or IBM MQ
  • In-depth hands-on experience with Kubernetes and Helm, including YAML configuration, troubleshooting PODs/Jobs/Deployments, and integrations with secrets management (CyberArk, HashiCorp)
  • Practical experience with Kubernetes PVCs, Persistent Volumes, S3, and/or enterprise NAS solutions (e.g., SONiC NAS)
  • Strong hands-on experience with Prometheus, Grafana, and the ELK Stack
  • High proficiency in Python, Bash, or Go for automation
  • Extensive hands-on experience with at least one major cloud provider (AWS, Azure, GCP)
  • Proficiency with IaC tools such as Terraform or Ansible
  • Experience designing, implementing, and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions)
  • Experience with RESTful API and SOAP web services
  • Proficiency with Gradle for build automation
  • Understanding of specific infrastructure requirements for deploying, managing, and scaling AI and Machine Learning workloads
  • Awareness of data management strategies and data governance principles relevant to AI/ML models
  • Familiarity with metrics and monitoring approaches for the performance and health of AI/ML applications
  • Proven experience acting as a Scrum Master within a technical team
  • In-depth knowledge and practical application of Agile principles and the Scrum framework
  • Excellent facilitation, coaching, and mentoring skills within a technical context
  • Strong verbal and written communication skills
  • Ability to guide technical discussions, influence architectural decisions, and drive best practices

Nice to have:

  • Certified ScrumMaster (CSM) or Professional Scrum Master (PSM) certification
  • Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, GCP Professional Cloud DevOps Engineer)
  • Experience with site reliability engineering (SRE) principles and practices
  • Familiarity with other Agile scaling frameworks (e.g., SAFe, LeSS)
  • Exposure to MLOps platforms or tools (e.g., Kubeflow, MLflow)

Additional Information:

Job Posted:
May 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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