Platform Engineer

• In this role, you will help shape the technical foundation for money movement capabilities while unlocking new product lines globally.
• You will guide the design and development of reliable, scalable, performant, and secure services for the platform, ensuring operational excellence and direct business outcomes.
• This is a rare chance to join an early-stage initiative, make foundational architectural decisions, and have a visible impact on the future of small businesses.
• By contributing directly to production code and proof-of-concepts, you will solve complex financial technology challenges at a massive scale.
• The Payments Platform team is the engine powering money movement across the entire ecosystem, collaborating closely with product, security, risk, and operations.
• Together, we work cross-functionally to translate complex business needs into resilient engineering solutions that support millions of subscribers.
• Designing and building out payment platform capabilities, such as orchestration, risks & fraud, multi-providers, to accelerate various payment products development and improve operational posture.
• Building out a global bill payment product to streamline how small businesses manage their cash flow.
• Developing core high-throughput platform services.
• Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows.

Lead Engineer – Payments Platform

• We're looking for a Senior / Principal AI Platform Engineer to build the secure, scalable platform capabilities that enable enterprise AI delivery across our clients' organizations.
• This is a platform engineering role first, with an AI specialization.
• You'll build and operate the shared infrastructure, services, and runtime capabilities that allow engineering teams to securely deploy, govern, observe, and scale AI-powered applications in highly regulated financial services environments.
• Rather than building individual business applications or developer tooling, you'll focus on the production AI platform itself—creating reusable services, operational excellence, and platform capabilities that other engineering teams depend on every day.
• As a Senior or Principal engineer, you'll influence platform architecture, establish engineering standards, and help shape RAVL's AI platform strategy.

AI Platform Engineer – Senior/Principal

• Design, develop, and maintain search infrastructure and query systems that power Kong's product discovery and analytics capabilities.
• Build and optimize notification services that deliver real-time alerts and updates across Kong's platform.
• Develop and enhance audit logging systems that capture, store, and query critical security and compliance data.
• Create MCP (Model Context Protocol) tools and integrations that extend platform functionality and enable new workflows.
• Architect and implement scalable, distributed backend services using Golang and modern cloud-native technologies.
• Collaborate with product managers, designers, and other engineers to define requirements and deliver high-quality features.
• Write clean, maintainable, well-tested code with comprehensive unit, integration, and end-to-end tests.
• Participate in code reviews, design discussions, and technical planning sessions.
• Optimize service performance, reliability, and scalability through profiling, monitoring, and iterative improvements.
• Contribute to the platform team's technical roadmap and help define architecture and best practices.
• Mentor junior engineers and contribute to a culture of engineering excellence.
• Participate in on-call rotation to ensure high availability of platform services.

Senior Software Engineer, Konnect Core Platform

• Lead the combined platform and systems engineering function, managing both engineers and managers, including the Systems Engineering Manager who owns corporate IT and the help desk.
• Own the AI-native strategy: direct investment in AI agents for provisioning, incident remediation, and employee support, and hold the governance that makes them safe.
• Own the reliability, security, and cost of both the product platform and the corporate technology environment, including CI/CD pipeline health, deployment safety, and monitoring coverage.
• Define and evolve platform, reliability, and corporate-technology strategy with cross-functional stakeholders.
• Drive execution through mechanisms such as SLOs, change management, access reviews, vendor management, hardware refresh cadence, and on-call practices.
• Ensure engineering excellence through architecture reviews, code and configuration reviews, and well-maintained operational and support playbooks.
• Extend identity, least-privilege access, and audit discipline across employees, workloads, and agents.
• Set strategic direction for the help desk, including the agentic support path, service levels, tooling, and the engineering relationship behind it.
• Mentor managers and senior engineers, and own succession planning across the function.
• Contribute to org-level initiatives such as hiring strategy, leveling calibration, vendor consolidation, and cross-team models.

Senior Platform Engineering Manager

• Lead a Unified Platform Strategy: Define and execute a cohesive roadmap that aligns Production Engineering (Fleet, Network, Cost, Responder) with Tenant Experience (Observability, Controls, Upgrade Tooling). Ensure these investments connect cleanly to support GitLab’s multi-tenant and self-managed reality.
• Drive Operational Excellence & Reliability: Maintain deep accountability for GitLab’s production outcomes. You will oversee incident management, alert efficacy, and service-level reliability, ensuring that both GitLab.com and our global customer base benefit from a stable, high-performance platform.
• Scale Engineering Leadership: Manage a senior management team, coaching them on performance, hiring, team structure, and execution. You will create the organizational conditions for success—defining clear mandates, removing blockers, and fostering a culture of ownership and accountability.
• Evolve the Platform Architecture: Guide the technical evolution of the platform. This includes optimizing fleet management and cloud utilization, maturing our observability and self-healing frameworks, and delivering a modern upgrade experience that bridges the gap between legacy Omnibus and modern Kubernetes/cloud-native models.
• Cross-Functional Partnership: Collaborate with Engineering Directors, Product Leaders, and Reliability/Delivery teams to ensure platform investments align with business priorities (e.g., AI roadmap, cost goals, deployment speed).
• Translate Strategy into Execution: Convert broad organizational goals into actionable roadmaps. You will make tough trade-off decisions between immediate production stability and long-term architectural health, ensuring the team remains focused on outcomes that drive business value.
• Build the Future of GitLab Operations: Champion initiatives that reduce operational toil, improve the developer/operator experience, and standardise platform interfaces across our modular service architecture.

Senior Director, Production and Tenant Platform Engineering

• Build and evolve the systems that provision, update, secure, and observe isolated agent execution environments
• Design reusable abstractions around queues, locks, background job processing, and service-bus mechanics
• Extend and refine the infrastructure-as-code foundation (Pulumi)
• Work directly with Linux systems, persistent storage, OS-level disks, container boundaries, permission models, logging pipelines, and runtime debugging
• Operate within a small, high-ownership, cross-functional team running weekly delivery cycles

Senior Software Engineer, Platform

• Lead the data-stack migration
• Plan and execute the migration of Druid, Spark, Redpanda, and our orchestration layer
• Design StatefulSet, PVC, pod-disruption-budget, and rolling-upgrade patterns for production data systems
• Own the operational health of Druid, Spark, Redpanda, Airflow, PostgreSQL, and Elasticsearch
• Build the KPIs, alerting, dashboards, and runbooks to monitor platform health
• Raise the bar on observability and reliability with proper tooling

Senior Data Platform Engineer

• Engineer and maintain highly available, secure, and cost-effective container orchestration platforms such as Kubernetes and ECS
• Engineer Continuous Integration & Continuous Delivery (CI/CD) solutions that simplify and improve software deployments to enable high velocity for our Product Engineering partners
• Develop robust monitoring and observability services and patterns to consistently improve the team’s ability to identify, react, respond, and recover from complex failures
• Collaborate with Technology Engineering, Development, and Product Management to help develop, scale, and improve production systems and services
• Partner with service teams to provide appropriate documentation, cross-training, architecture planning, capacity management, and recommendations for future state
• Engineer technical solutions to prevent or reduce the frequency of failures
• Help drive the code quality practices within the team and work hard to deliver a maintainable software
• Participate in screening, interview panels, and other hiring related activities when required

Senior Platform Engineer

• Help shape the future of Autodesk's ecosystem
• Lead the design and architecture of initiatives
• Collaborate with global teams to enhance platform capabilities

Principal Software Developer – Services, Emerging Technologies

• Administer and operate the AI platform to ensure availability, performance, and resilience across environments, integrations, and supporting infrastructure.
• Monitor platform health using dashboards, logs, metrics, and alerts, and coordinate incident and service restoration activities.
• Lead operational triage, escalation coordination, and post-incident reviews to strengthen services stability and resilience.
• Track and report on service reliability indicators, incident trends, and operational performance.
• Enable approved AI use cases into production by ensuring environment readiness, dependency validation, completion of operational readiness checklists, and structured service transition activities.
• Support platform lifecycle management through release coordination, change readiness validation, and maintenance and capacity planning.
• Ensure AI platform changes meet defined operational and control readiness criteria prior to release.
• Implement and maintain observability capabilities, including telemetry, logging, metrics, and traces required for enterprise AI operations.
• Analyze operational data to identify anomalies, recurring issues, root-cause patterns.
• Implement AI Ops use cases such as alert correlation, anomaly detection, root-cause support, forecasting and predictive insights, automation of repetitive operational tasks.
• Continuously improve operational efficiency through targeted automation and process optimization.
• Execute governance controls for AI solutions, including usage and access controls, data privacy considerations, auditability and traceability, human oversight requirements.
• Ensure operational practices align with enterprise security policies, risk controls, and compliance requirements.
• Maintain documentation and evidence required for audit, governance reviews, production readiness checkpoints, and control validation.
• Identify control gaps and escalate risks appropriately to relevant governance and risk stakeholders.
• Maintain operational visibility of AI platform assets required for monitoring, support, and cost alignment.
• Validate asset ownership, relationships, and lifecycle status in collaboration with application and platform owners.
• Support ongoing audits to ensure AI assets and associated cost attribution remain accurate and current.

Senior AI Platform Operations Engineer

• Improve our mobile developer experience — from local setup to CI/CD — so engineers across the company can confidently contribute to the Guest App
• Build guardrails, tooling, and automation that make shipping changes to thousands of apps safe and reliable
• Increase release reliability and app freshness across Apple App Store and Google Play
• Strengthen observability, monitoring, and operational workflows to quickly diagnose and resolve issues
• Leverage AI tools to build automations at scale across our release and distribution workflows
• Partner closely with our internal launch team — power their workflows, hear feedback quickly, and iterate
• Contribute directly to the Guest App codebase when platform and product work intersect
• Take ownership of cross-cutting technical initiatives from design through production
• Provide thoughtful code reviews and technical leadership to raise the bar across the team
• Help us build a great team — interview candidates, refer great engineers, and shape engineering culture

Senior Software Engineer, Mobile Platform – Guest App

• Build real-time voice AI features for emergency response workflows.
• Design and operate LLM-powered systems that support human 911 telecommunicators.
• Own features across the stack, from backend services and AI pipelines to frontend interfaces and internal tools.
• Work on low-latency audio processing, streaming systems, telephony integrations, and human-in-the-loop AI workflows.
• Help integrate speech models, LLMs, and emerging AI technologies into production systems.

Junior Software Engineer, AI Agent Platform

• Lead the design and operation of real-time voice AI systems that support human 911 telecommunicators at scale.
• Identify and solve the hardest problems in our stack: low-latency audio, streaming, telephony, LLM orchestration, and human-in-the-loop AI workflows.
• Drive engineering excellence across reliability, availability, security, and performance, defining the standards for the team.
• Collaborate with product, design, and operations leadership to translate ambiguous customer and operational problems into technical strategy.
• Mentor engineers to improve their technical work through reviews, design feedback, and pairing.
• Build and evolve evaluation, testing, and observability frameworks for AI-assisted systems.
• Lead incident response and post-incident reviews, ensuring quality runbooks and on-call health.

Senior Software Engineer, AI Agent Platform

• Monitor infrastructure and pipelines, respond to issues, troubleshoot failures from logs and metrics.
• Build, review, and deploy infrastructure through code using Terraform, AWS, Kubernetes.
• Write Python, bash, and CI/CD automation.
• Help design and operate role-based access control and governance controls.
• Build, operate, and troubleshoot pipelines and transformations.
• Help move workloads from our legacy stack to the modern data platform.
• Write clear runbooks, platform documentation, and operational guides.
• Work with AI-assisted engineering tools to improve engineering workflows.

Data Platform Engineer

• Lead GPU infrastructure design and operations
• Manage Kubernetes-based AI platform environments
• Optimize infrastructure for AI training and inference workloads
• Define operational standards and reliability practices
• Collaborate with AI engineering teams
• Implement monitoring, security, and disaster recovery strategies
• Lead infrastructure capacity planning
• Support technical roadmap and infrastructure evolution

Infrastructure, GPU Cluster, Platform Operations Lead

• Design, operate, and continuously improve the AWS serverless data platform.
• Maintain self-service tooling, templates, and scaffolding for serverless resources.
• Produce and maintain high-quality technical documentation and runbooks.
• Act as a trusted technical partner to product and data engineering squads.
• Ensure platform infrastructure adheres to security best practices.
• Own and evolve IaC for all platform infrastructure using tools like Terraform.
• Drive a culture of continuous improvement through regular platform reviews.

• Hiring for the Platform SysEng squad
• Work on maturity and scalability of the platform
• Manage infrastructure for engineering teams
• Ensure health of production services
• Collaborate to reduce new region build timelines

Staff Software Engineer – Platform, SysEng

• Partner with engineering leadership to evolve and standardize the foundational architecture for a cloud-native, event-driven telecom platform — identifying areas for improvement and driving safe, incremental modernization alongside active development
• Own developer experience: build tooling, CI pipeline performance, dependency management, and inner-source contribution models across a shared monorepo
• Govern shared UI component standards and design system practices used across teams
• Establish and maintain engineering standards: RFCs, ADRs, architecture reviews
• Partner closely with Operations and SRE to define observability standards (tracing, logging, metrics), SLO/SLI frameworks, and reliability practices
• Champion AI-first development practices across tooling, workflows, and culture
• Manage and develop a small, established team of senior engineers

Manager, Engineering – Platform Engineering

• Build scalable, reliable data systems while maintaining SLOs for business-critical pipelines.
• Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact data solutions.
• Support self-service tooling and a data-driven culture across Pantheon's teams.
• Contribute to the technical strategy and operations of Pantheon's data platform.
• Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms.
• Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation.

Software Engineer II – Data Platform

• Build and maintain our internal developer platforms: self-serve infrastructure, paved paths, and AI-first automation. Automation code to be authored primarily in Python and JS/TS.
• Maintain and extend our cloud infrastructure: Particularly Kubernetes (EKS), AWS, Postgres, Redis, Kafka, and Elasticsearch. Leverage tools like Terraform and Crossplane to keep our infrastructure declarative.
• Support other engineers as a go-to technical expert, and bake tribal knowledge into tooling and docs so the platform, not a single person, is the source of truth.
• Contribute as a technical mentor: Directly mentor interns. Level up other engineers through Lunch & Learns, guilds, documentation, and general knowledge-sharing.
• Contribute strategically during objective setting, retrospectives, and cross-team discussions, and help shape the infrastructure roadmap.
• Help maintain the availability, reliability, and security of our production infrastructure by participating in our on-call rotation, including monitoring, incident response, and resolving issues outside of standard business hours.

Platform Engineer jobs in Canada

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Lead Engineer – Payments Platform

AI Platform Engineer – Senior/Principal

Senior Software Engineer, Konnect Core Platform

Senior Platform Engineering Manager

Senior Director, Production and Tenant Platform Engineering

Senior Software Engineer, Platform

Senior Data Platform Engineer

Senior Platform Engineer

Principal Software Developer – Services, Emerging Technologies

Senior AI Platform Operations Engineer

Senior Software Engineer, Mobile Platform – Guest App

Junior Software Engineer, AI Agent Platform

Senior Software Engineer, AI Agent Platform

Data Platform Engineer

Infrastructure, GPU Cluster, Platform Operations Lead

Senior Platform Engineer

Staff Software Engineer – Platform, SysEng

Manager, Engineering – Platform Engineering

Software Engineer II – Data Platform

Senior Software Engineer, Platform