Platform Engineer

Spectraforce — Canada · Posted ~3 hours ago

Senior Contract Hybrid

Skills

Platform engineering DevOps CI/CD Infrastructure as Code Automation Software delivery Release management AI-assisted engineering

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Summary ✨ AI‑Generated

An experienced Platform Engineer is needed to support modernization of software delivery within a large enterprise environment. You will design and optimize CI/CD pipelines, Infrastructure as Code, automation, and release processes while helping engineering teams adopt modern development practices. The role combines platform engineering, DevOps transformation, developer productivity, and emerging AI-enabled engineering approaches.

Highlights

A 12-month platform engineering contract with potential extension or conversion, focused on modernizing enterprise software delivery, automation, developer productivity, and AI-enabled engineering.

Description

Job Title: Platform Engineer Location: Toronto, ON - Hybrid — 2 days onsite initially, moving to 4 days onsite Duration: 12 months, with potential for extension/conversion About the Role We are seeking an experienced Platform Engineer to support a global transaction banking platform within a large financial services environment. This role will focus on platform engineering, DevOps transformation, software delivery modernization, and AI-enabled engineering. The successful candidate will work closely with engineering, architecture, infrastructure, and platform teams to modernize software delivery, improve developer productivity, automate engineering workflows, and drive adoption of modern development practices and tools. Key Responsibilities Support platform engineering and software delivery modernization initiatives across enterprise engineering teams.Design, implement, and optimize CI/CD pipelines, automation, Infrastructure as Code, and release processes.Develop and standardize modern DevOps practices and engineering workflows.Work with GitHub Enterprise and GitHub Actions to support source control, CI/CD, repository governance, and developer workflows.Evaluate and implement AI-assisted software development and engineering productivity tools.Identify practical AI use cases across the software development lifecycle, including development, testing, code review, documentation, debugging, and delivery.Support adoption and enablement of tools such as GitHub Copilot and other AI-powered engineering solutions.Identify opportunities to streamline engineering processes through automation and standardized tooling.Collaborate with engineering, architecture, infrastructure, product, and platform teams to improve software delivery performance.Contribute hands-on technical expertise to priority modernization and transformation initiatives.Support developer productivity and Developer Experience (DevEx) initiatives.Help establish reusable, scalable, and self-service platform capabilities.Troubleshoot complex engineering and delivery challenges and drive practical solutions. Must-Have Skills DevOps & Software Delivery Strong hands-on experience with DevOps, CI/CD, Infrastructure as Code, automation, and release engineering.Experience with software delivery modernization and DevOps transformation.Experience implementing modern engineering practices within large enterprise environments.AI-Enabled Engineering Experience evaluating or adopting AI-assisted software development tools.Understanding of practical AI applications across the SDLC.Experience with engineering productivity tools such as GitHub Copilot, ChatGPT, Amazon Q, Gemini Code Assist, or similar is highly relevant.GitHub Strong experience with GitHub Enterprise.Hands-on experience with GitHub Actions.Strong understanding of source control management and developer workflows.GitHub Copilot adoption and engineering enablement experience is an asset. Nice-to-Have Platform EngineeringInternal Developer Platforms (IDP)Developer Experience / Developer ProductivitySelf-service engineering toolsCloud-native platformsCloud modernizationKubernetes and container platformsFinancial services or other regulated enterprise environments. Experience: 8+ years Education: College/University degree in Computer Science or related field