Principal Devops Engineer

Snaplii is one of Canada’s fastest-growing fintech platforms, transforming how people pay, save, and earn rewards. With over $70M in annual transaction volume and 200,000+ users across North America, we deliver unmatched utility and loyalty through a single seamless app. We’ve ranked as high as #5 on the Apple App Store during peak shopping seasons, and consistently remain in the Top 40, driven by a highly engaged, high-retention user base. Snaplii supports 500+ leading brands including Walmart, Amazon, and Esso, with a platform fully built and maintained in-house—engineered to scale and support a growing suite of financial products.

About the Role

We are seeking an exceptionally skilled and experienced Principal DevOps 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.

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; proficiently configure and maintain wired, wireless intranet, and VPN networks.
• Cloud Infrastructure Management (AWS): 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.
• Containerization and Orchestration: Expert knowledge of Kubernetes (K8s) and Docker‑compose, with a deep understanding of cloud container management and operational lifecycle. Proficiently use ArgoCD and FluxCD (GitOps) for automated deployment and management of K8s applications.

Automation and CI/CD Pipeline

• Continuous Integration/Continuous Deployment (CI/CD): Proficient in configuring, scripting and maintaining Jenkins or GitHub Actions to build and optimize robust CI/CD pipelines.
• 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 CloudFront 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 CodePush 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 micro services metrics in K8s, understanding performance degradation and spikes, and implementing auto‑scaling solutions to meet business demands.
• Database Management: MySQL database administration expert, proficient in 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 BigQuery 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.

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.