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Senior DevOps Developer

Job in Toronto, Ontario, C6A, Canada
Listing for: Thankz Global Staffing
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Thankz Global Staffing provided pay range

This range is provided by Thankz Global Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

We are seeking an exceptionally skilled and experienced Principal Dev Ops Engineer to join our team. This role is pivotal in designing, implementing, and maintaining our next-generation cloud infrastructure and CI/CD pipelines. The ideal candidate will be a deep technical expert focused on enhancing system reliability, scalability, security, and, critically, cost efficiency. This specialist must possess a profound understanding of the AWS ecosystem, Kubernetes containerization, automation scripting, and cybersecurity principles.

Key Responsibilities
  • Infrastructure and Systems Mastery
    • Operating System Expertise:
      Expert proficiency in both Windows and Linux operating systems, capable of skillfully managing system configurations and resolving complex system-level issues.
    • Network Engineering:
      Expert knowledge of network principles; proficient in configuring and maintaining wired, wireless intranet, and VPN networks.
    • Act as an AWS Services Expert, responsible for configuring, maintaining, and optimizing the AWS infrastructure, including security and IAM permissions, cross-region communication, traffic monitoring, routing configuration, various storage services (S3, EBS, etc.), and RDS databases.
    • AWS Billing Service Specialist:
      Adept at understanding and analyzing the cost structure of AWS expenditures and implementing correct adjustments and architectural changes to achieve continuous cost reduction and optimization.
    • Expert knowledge of Kubernetes (K8s) and Docker‑compose, with a deep understanding of cloud container management and operational lifecycle.
    • Proficiently use ArgoCD and FluxCD (Git Ops) for automated deployment and management of K8s applications.
  • Automation and CI/CD Pipeline
    • Scripting and maintaining Jenkins or Git Hub Actions to build and optimize robust.
    • Deployment Proficiency:
      Skillfully deploy various application types to AWS, including Amazon EKS, ECS, Fargate, Lambda, and other serverless/container platforms.
    • Service Exposure:
      Expertly leverage AWS API Gateway and Cloud Front for secure and high-performance application publishing and distribution.
    • Scripting and Automation:
      Expert in Python and Shell scripting for automating operational tasks, infrastructure management, and data handling.
    • Specific Service Maintenance:
      Proficiently configure and maintain a Code Push Server.
  • Security, Monitoring, and Data
    • Security Specialization:
      Act as an expert in Cyber Security and Network Security, implementing and enforcing robust security measures across the infrastructure and applications.
    • SSO Implementation:
      Proficiently configure and maintain SSO (Single Sign-On) services and integrate them into application code (e.g., Google, Okta, Azure, etc.).
    • Monitoring and Observability:
      Expert at monitoring large-scale cloud services, identifying system health performance bottlenecks, and providing effective solutions.
    • Skilled in monitoring microservice metrics in K8s, understanding performance degradation and spikes, and implementing auto-scaling solutions to meet business demands.
    • Transactions, locks, and complex SQL query analysis and performance tuning.
    • Data Warehousing:
      Experienced in ETL (Extract, Transform, Load) of large-scale data into a data warehouse, with familiarity with Google Big Query and Snowflake.
  • Additional Skills and Documentation
    • AI Experience (Plus):
      Practical experience in setting up a local AI LLM environment.
    • Documentation:
      Highly proficient in writing and organizing technical documentation, processes, and operational runbooks.
  • Required Qualifications
    • Deep practical expertise in AWS, Kubernetes, CI/CD, automation, and network security.
    • Excellent troubleshooting, problem-solving, and performance optimization skills.
    • Strong communication and collaborative skills.
    Seniority Level

    Mid‑Senior level

    Employment type

    Full‑time

    Job function

    Information Technology

    Industries

    Financial Services and Software Development

    #J-18808-Ljbffr
    Position Requirements
    10+ Years work experience
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