Staff DevOps Engineer

Motorola Solutions•Vancouver, BC

1d•CA$140,000 - CA$160,000•Hybrid

About The Position

Motorola Solutions Video Division is defining the future of the security industry through innovative end-to-end-solutions. We’re changing the landscape of the surveillance industry through advanced award-winning AI based surveillance systems. Artificial Intelligence is transforming the world and our team is advancing the field as it applies to the surveillance industry. We are proud to be industry leaders in video analytics with features which include edge-based, deep learning driven object detection, and Appearance Search. Motorola Video analytics platforms allow our users to proactively monitor their premises using advanced video analytics and high resolution / high quality video. We are seeking a highly experienced and passionate Staff DevOps Engineer to join our team. In this pivotal role, you will be instrumental in evaluating, consolidating, and designing the tools and frameworks that empower our development teams with the fastest and most reliable infrastructure. You will leverage your extensive experience with cloud platforms, especially GCP and AWS, Infrastructure as Code (IaC), and CI/CD methodologies to build scalable, secure, and automated systems. We have a hybrid setup with a mix of cloud and in-house infrastructure and systems. The ideal candidate will have experience in deploying, managing, and maintaining both real hardware systems and solutions and cloud-based ones. This position is based in Vancouver, BC, and the candidate must reside in the Greater Vancouver area, as you will be required to go into the office on a hybrid work schedule.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
8+ years of experience in DevOps, SRE, or a similar role, with a strong focus on cloud infrastructure.
3+ years of experience in compiled language software development (ideally C++/C#)
Extensive hands-on experience with Google Cloud Platform (GCP), including services such as Compute Engine, Cloud Storage, Cloud SQL, VPC, IAM, Cloud Functions, and GKE.
Proven expertise in Infrastructure as Code (IaC) tools
Deep understanding and practical experience in designing, implementing, and maintaining robust CI/CD pipelines
Strong proficiency in scripting languages
Experience with containerization technologies (Docker) and container orchestration platforms (Kubernetes, GKE, Google Cloud Run, ECS, EKS).
Solid understanding of networking concepts, security best practices, and cloud architecture patterns.
Excellent problem-solving skills, with a proactive and collaborative approach to challenges.
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Bachelors Degree
7+ years of experience in DevOps, SRE, or a similar role

Nice To Haves

Experience building node, C++ or .NET project
Experience with monitoring and logging tools, and a strong commitment to observability.

Responsibilities

Design and implement scalable, resilient, and secure cloud infrastructure primarily on GCP, and potentially other cloud providers, utilizing best practices for high availability and disaster recovery.
Identify areas for optimization, consolidation, and modernization to enhance efficiency, reliability, and cost-effectiveness.
Work with our architect to develop, champion and build a strategic roadmap for our future-state infrastructure, aligning with business objectives and developer needs.
Develop, maintain, and optimize Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or similar, ensuring modularity, reusability, and version control.
Implement robust CI/CD pipelines that automate software delivery from code commit to production deployment, incorporating automated testing, security scanning, and quality gates.
Implement and manage containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes, GKE, Google Cloud Run, ECS, EKS) to support microservices architectures.
Drive automation across all aspects of the infrastructure lifecycle, including provisioning, configuration, deployment, monitoring, and incident response.
Design and implement comprehensive monitoring, logging, and alerting solutions (e.g., CloudWatch, Google Cloud Observability, Prometheus, Grafana, ELK Stack) to ensure system health and performance.
Establish proactive alerting mechanisms and define key performance indicators (KPIs) for infrastructure and application stability.
Champion a DevOps culture within the organization, promoting shared responsibility, continuous improvement, and knowledge sharing.
Implement security best practices throughout the infrastructure lifecycle, including identity and access management, network security, data encryption, and vulnerability management.
Ensure compliance with relevant industry standards and internal security policies.