DevOps Engineer Data Protection Services
DevOps engineer joining the Data Protection Dev Squad of a regulated firm, building, integrating, and operating data security controls across Azure public cloud and on-prem data centers. Day-to-day: Python/shell scripting, Git/Jenkins CI/CD, Docker/Kubernetes orchestration, and automation in an Agile hybrid team (3 days/week onsite in Montreal).
- Compensation
- Not disclosed
- Location
- Montréal, Canada
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- 2-5 years of experience (Level 2)
- Scripting: Python, Linux Shell
- DevOps: Git, Jenkins Pipeline, Test Automation
- Orchestration: Docker, Kubernetes
- OS: Linux (in-depth), Windows
- Networking: network configuration and debugging
- Cloud: Azure Dev/DevOps, Public Cloud management
- Knowledge of critical cyber security controls
- Working knowledge of secure, governed AI use across the AI SDLC with human oversight
- Willing to work in on-call rotation
- Experience working effectively within Agile delivery teams
- Experience integrating products into enterprise environments, deploying/integrating open-source tools with DevOps methodologies
- Working knowledge of IT Service Management principles and ITIL practices
- Ability to apply knowledge of proprietary technologies in a complex, regulated environment
- Self-directed approach with experience in technical/application support of enterprise systems
- Excellent written and verbal communication skills, collaborative working style
- Strong automation and orchestration mindset, reducing manual processes
- Onsite attendance 3 days per week at the Montreal office (hybrid)
Nice to have
- Cloud: M365, AWS, etc.
- IaC: Ansible, Terraform, Cloudify, other IaC
- SRE: Flux, Grafana, Splunk
- Agile: Jira
- Data protection products: BigID, Securiti
Full description
Experience Level: Level 2: 2-5 years Open positions: 1 Location: Montreal (Day 1 onboarding onsite/in office presence 3x/week) The Data Protection (DP) group is responsible for implementing the Firm’s Data Cybersecurity Strategy through the architecture, engineering, deployment, and operation of enterprise data security controls and capabilities. The group maintains a sustained focus on architectural rigor, automation, Agile delivery, and the effective adoption of Data Protection Services controls by users and business partners.
The Data Protection Services (DPS) fleet designs, engineers, and operates solutions that protect data at rest and in transit and elevate potentially inappropriate use of the Firm’s data to the appropriate incident response teams. The DevOps Engineer will join the DP Dev Squad, which integrates the Firm’s strategic application development platforms and tools throughout the software development lifecycle. The position requires hands‑on engineering to integrate applications and services, support solutions deployed in public cloud and on‑premises data centers, and enhance proactive data governance capabilities in collaboration with Technology teams, business stakeholders, and third‑party vendors. The DP Dev Squad is a specialist unit within the Data Protection Services group, comprising software developers, DevOps engineers, and infrastructure engineers. The squad provides development, integration, and strategic capabilities that enable enterprise‑wide data discovery and supply downstream systems supporting data security, compliance, privacy, threat monitoring, and analytics. The team places particular emphasis on data controls and their effective implementation in cloud environments. Operating within a flat, Agile structure, the squad promotes collaboration, accountability, and professional autonomy across Glasgow, Bengaluru, and Montreal.
What we’re looking for:
- Must have: Scripting: Python, Linux Shell
- DevOps: Git, Jenkins Pipeline, Test Automation
- Orchestration: Docker, Kubernetes
- OS: Linux (in-depth), Windows
- Networking: network configuration and debugging
- Cloud: Azure Dev/DevOps, Public Cloud management
- Security Practices: Knowledge of critical cyber security controls
- AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight.
- Willing to work in on‑call rotation
Would Be Nice:
- Cloud: M365, AWS, etc.
- Orchestration: Ansible, Terraform, Cloudify, other IaC
- SRE: Flux, Grafana, Splunk
- Agile: Jira
- Products: BigID, Securiti