Jobs / CWP Energy
Senior Platform Engineer – AI & DevOps
CWP Energy · Montréal, QC, Canada
Montréal, QC, CanadaExp: 8+ yrsOnsite
Remuneration
Not specified
Location
Montréal, QC, Canada
Visa sponsorship
Not specified
Job summary
CWP Energy Trading is seeking a Senior Platform Engineer – AI & DevOps to enhance their platform and practices. This role involves building mission-critical tools using Python, leading the adoption of AI and agentic workflows, and owning DevOps and platform foundations. The engineer will support critical trading operations and help shape future software development.
Benefits
Full group insuranceRRSP program contributionVacation policy upon arrivalPublic transit incentive programOffice with gymGolf simulatorLoungeLocker rooms and showers
Qualifications
- 8+ years in software engineering, platform engineering, or DevOps with direct ownership of production infrastructure, incident response, and reliability at scale
- Demonstrated ability to drive adoption of generative AI and agentic workflows to improve productivity, including AI development tools, SDLC automation, and Spec-Driven Development
- Strong experience designing and operating cloud-native systems in AWS, GCP, or Azure, including networking, IAM, containers, and multi-environment Kubernetes setups in production
- Deep hands-on DevOps experience across Infrastructure as Code, CI/CD, rollback strategies, and observability (metrics, logs, tracing, alerting)
- Strong Python skills to build mission-critical tools, automation, and backend services supporting trading operations and the engineering platform
- Good understanding of cloud security and secure-by-default practices, including IAM, secrets management, access controls, and infrastructure governance
- Proven track record improving cloud cost efficiency, system resilience, uptime, and platform governance/standards
- Good command of SQL and data platform concepts, with ability to support production data pipelines
- Strong operational mindset, sound judgment, pragmatism, and communication skills to work effectively with technical teams and senior leadership
Responsibilities
- Lead automation of SDLC and operations using Agentic AI and Spec-Driven Development
- Deliver AI-powered tools for traders
- Build and improve data pipelines, internal tools, and client-facing products
- Own and evolve DevOps and CI/CD practices
- Develop internal engineering guardrails, including infrastructure patterns, observability standards, and secure-by-default workflows
- Optimize costs by identifying waste, improving resource governance, and implementing sustainable cost controls
- Establish practical governance, security, reliability, and cost controls for cloud platform and AI ecosystem
- Reduce key-person risk by documenting systems, codifying knowledge, and transforming ad hoc practices into repeatable operating models
- Act as a senior technical reference on architecture, operational risk, prioritization, and engineering quality
- Improve engineering team effectiveness by coaching and sharing best practices
Skills
AWSAzureBigQuerydbtGCPGoogle Cloud StorageGKEGrafanaIAMKubernetesPostgreSQLPython
Relocation
No