Platform Engineer

• Develop and maintain infrastructure as code using Terraform, OpenTofu, Ansible, and related automation tooling.
• Administer Kubernetes and EKS environments, including installation, networking, security, troubleshooting, monitoring, autoscaling, upgrades, and cluster management.
• Build, manage, and support containerized workloads using Kubernetes, EKS, and related cloud-native technologies.
• Support GitOps-based deployment workflows using ArgoCD, Kustomize, GitHub Actions, Jenkins, and Kubernetes manifests.
• Build and improve self-service platform capabilities that help engineering teams provision infrastructure, onboard services, and deploy applications efficiently.
• Monitor site availability, investigate production issues, and provide remediation for incidents.
• Create and maintain monitoring, logging, alerting, dashboards, APM configuration, and incident reporting.
• Support secure-by-default platform practices, including least-privilege Kubernetes configurations, container vulnerability scanning, static analysis, and infrastructure-as-code security checks.
• Troubleshoot infrastructure, application platform, Linux, networking, IAM, and cloud-related issues.
• Write SQL, ELK, and other operational queries to diagnose issues and support production investigations.
• Create, review, merge, and apply infrastructure pull requests using tools such as Ansible, Terraform, and OpenTofu.
• Create and maintain AMIs, support rightsizing, autoscaling, and infrastructure optimization.
• Serve as a technical lead on complex platform projects, driving work to successful completion on time and on budget.
• Leverage AI-assisted engineering tools, such as Cursor, GitHub Copilot, Claude Code, or similar technologies, to improve development speed, code quality, automation, documentation, and troubleshooting workflows.

Platform Engineer III

• Design and own the strategic roadmap for the enterprise AI platform, establishing the core technical architecture that powers Aritzia’s AI capabilities.
• Lead the engineering of critical platforms, including robust development platforms, that empower the organization.
• Build and manage a network of world-class technology vendors and partners, ensuring the AI platform ecosystem is innovative, scalable, and aligned with strategic business goals.
• Perform feasibility studies on emerging AI trends and collaborate with internal/external tech experts to accelerate advanced, practical adoption.

Principal Platform Engineer, Enterprise AI Enablement

• Help with end-to-end delivery of Infrastructure as Code for cloud AI services
• Design platform abstractions for application teams
• Embed security and compliance into the platform
• Build patterns for safe consumption of generative AI

Associate Platform Engineer II

• Assemble and configure complete IT environments by integrating hardware, software, networks, and compute services to meet operational and business requirements.
• Set up and maintain servers, workstations, and network components (LAN/WAN, Wi-Fi, VPN), ensuring performance, scalability, and security.
• Lead the deployment and integration of cloud-based solutions (e.g., Azure, SaaS platforms) into the existing information system landscape.
• Apply security best practices by deploying firewalls, antivirus, authentication systems, and intrusion detection tools to protect IT assets.
• Ensure seamless communication between business applications (e.g., CRM, ERP) and internal systems through APIs, data buses, or middleware.
• Manage IT integration projects from planning to execution, ensuring alignment with business stakeholders and adherence to timelines and budgets.
• Provide level 2/3 support for integrated systems, diagnose issues, and coordinate with vendors or internal teams for resolution.
• Maintain up-to-date technical documentation and contribute to training and onboarding of users and support teams.

IT Platform Engineer

• Maintain and enhance an existing internal audit and code-modification platform.
• Support, troubleshoot, and optimize GitLab CI/CD pipelines, merge request workflows, and pipeline execution processes.
• Improve operational reliability, system performance, and platform stability through targeted enhancements.
• Support LLM-driven and agentic workflows, including prompt execution, input/output validation, and deterministic processing patterns.
• Implement and improve observability capabilities, including logging, telemetry, run tracking, debugging, and operational visibility.
• Enhance developer experience for reviewing automated code changes, generated merge requests, and codemod outputs.
• Assist engineering teams with platform usage, issue resolution, and workflow improvements.
• Execute backlog items independently while working within the existing architecture and technical framework.
• Collaborate with stakeholders to translate business and engineering requirements into practical platform improvements.
• Review and improve generated code changes and automated remediation outputs to ensure quality and reliability.

Senior AI Platform Developer

• Design and evolve our Azure architecture while supporting our legacy AWS footprint
• Production ownership of Kubernetes (AKS) clusters, including upgrades and scaling
• Infrastructure as Code using Terraform across multiple environments
• Developer enablement through templates, documentation, and self-service tooling
• Participate in an on-call rotation and production incident response

Senior Platform Engineer

• Own and drive the architecture and evolution of developer onboarding and enablement platforms
• Standardize and improve service deployment processes across application teams
• Accelerate onboarding and deployment timelines through scalable platform automation
• Design and implement cloud-native automation to reduce manual effort across onboarding workflows
• Build and support developer enablement tooling and internal platform services
• Provide hands-on technical guidance and support for developers using internal platforms
• Troubleshoot complex platform and integration issues across distributed systems
• Collaborate with application and platform teams to ensure evolving developer needs are met
• Design and implement AI/ML and agentic AI solutions to automate onboarding, enhance troubleshooting, and improve developer self-service capabilities
• Apply AI-driven automation to improve platform efficiency, reliability, and developer experience at scale
• Define and contribute to technical roadmap planning for platform modernization and automation initiatives
• Create and maintain high-quality technical documentation, runbooks, and enablement materials
• Stay current with emerging technologies in cloud platforms, AI/ML, and agentic AI systems

Principal Cloud Platform Developer

• Design and implement tools and technologies to provision and configure an enterprise software system hosted in Kubernetes
• Design and implement architecture and networking solutions within Azure
• Automate/script existing processes using languages such as python and bash
• Provision, configure, and maintain cloud resources using Terraform and Terragrunt
• Actively monitor the application environment and respond to incidents
• Conduct root cause analysis for production incidents
• Oversee cloud infrastructure and recommend any potential improvements to technology or process
• Contribute to team planning to solve engineering challenges
• Be a dependable and highly skilled development resource for peers through education and review
• Have a broad awareness of related projects and industry trends, and encourage innovative practices among peers
• Provide detailed feedback and suggestions to team code reviews
• Document and demonstrate solutions through written documentation, diagrams, and readable code

• Lead, coach, and develop an engineering team responsible for NerdWallet’s platform systems, including the Content Platform, CMS, and Product Data Platform
• Drive the evolution of engineering workflows through thoughtful adoption of AI-assisted development practices, automation, and operational tooling
• Partner with Product Managers and other cross-functional stakeholders to plan, prioritize, and execute against the product roadmap
• Champion process improvements that increase engineering velocity, efficiency, and developer experience while maintaining high standards for quality and reliability
• Drive consistent execution of software development best practices, including code quality, testing, documentation, and operational excellence
• Contribute to and guide technical and architectural decisions, ensuring solutions are scalable, reliable, secure, and compliant with regulatory requirements
• Balance platform evolution (e.g., headless CMS, APIs, content workflows) with stability for high-traffic, mission critical systems
• Manage sprint planning, project timelines, and delivery commitments, ensuring predictable and high-quality execution
• Identify technical risks, dependencies, and delivery challenges, escalating and addressing them proactively
• Foster a culture of collaboration, accountability, continuous improvement, and psychological safety
• Support hiring, onboarding, performance management, and career development for engineers at varying levels
• Ensure systems owned by the team meet availability, performance, and security standards

Senior Engineering Manager, Platform Engineering

• Design and build an integrated data platform — unify our existing tools and pipelines into a cohesive, scalable architecture that serves the entire organization.
• Own data pipelines and SLAs end to end, ensuring data moves reliably between systems with clear expectations and well-defined metrics.
• Define and manage data contracts that prevent upstream changes from breaking downstream analytics, establishing the standards the team builds on.
• Shape the data strategy and platform roadmap — research new technologies, evaluate trade-offs, and introduce tools and frameworks as the platform evolves.
• Stand up observability across the platform — robust monitoring and telemetry so teams can understand system health and troubleshoot quickly.
• Partner with Product, Compliance, and Security on data governance, balancing user needs with regulatory requirements.
• Participate in an on-call rotation to support production data systems.

Senior Data Platform Engineer

• Support the reliability, scalability, and operational maturity of production MySQL environments and core production infrastructure
• Manage and improve database replication, failover, backups, recovery, upgrades, and performance optimization
• Contribute to cloud infrastructure, automation, observability, and operational tooling initiatives
• Support infrastructure-as-code and automation efforts using Terraform and related technologies
• Improve monitoring, alerting, and operational visibility across systems and applications
• Troubleshoot database, infrastructure, and application-related issues in production environments
• Partner with Engineering and Platform teams to improve reliability, scalability, operational efficiency, and production readiness
• Support incident response, root cause analysis, and remediation efforts
• Contribute to operational best practices and continuous platform improvements
• Participate in an on-call rotation supporting production systems

Platform Engineer, Database Reliability

• Design and build innovative solutions that streamline workflows, automate processes, and enhance operational efficiency across the Surety business.
• Develop with Power Automate and Power Apps, collaborating closely with business stakeholders and IT partners.
• Translate business challenges and operational inefficiencies into user-friendly, scalable applications and automated workflows.
• Build Power Apps that are intuitive, reliable, and aligned to business needs.
• Implement and maintain Power Automate flows to orchestrate processes, integrate systems, and reduce manual effort.
• Explore and evaluate emerging Power Platform features, AI capabilities, and integrations to drive continuous improvement and innovation.
• Partner with business teams to understand pain points and translate them into clear technical requirements and user stories.
• Support solution rollout, user training, and documentation to drive smooth adoption and measurable business outcomes.
• Identify opportunities to optimize existing workflows and apps for speed, reliability, and user satisfaction.

Junior Power Platform Developer

• You’ll be responsible for preparing Clio’s database infrastructure for the future in terms of scale and reliability
• You will collaboratively define the roadmap to support business goals, and satisfy application requirements
• You will investigate and solve performance problems with our MySQL databases and other data stores
• You will scope, define, and collaborate with developers to implement automation and processes that power the reliability of Clio’s data stores

Platform Engineer, Databases

• Participate in the operations (support, deployment and rollout of components) in API Platforms both in the cloud and on premise.
• Participate in the construction, maintenance and continuous improvement of core infrastructure that underlies API operational support including a gateway/service-mesh, runtimes, security.
• Participate in the operations and support of the Enterprise Event Hub with Kafka.
• Identify defects in the platform modules, debug issues, and provide effective solutions.
• Ensure projects are following best practices around continuous integration and delivery.

API Platform Operations Engineer

• Own end-to-end delivery of Infrastructure as Code for cloud AI services
• Design platform abstractions that let application teams self-serve safely
• Lead architectural conversations across Azure and Google Cloud
• Embed security and compliance into the platform
• Build patterns for safe consumption of generative AI
• Lead code review and set standards for IaC quality
• Partner with security, network, risk, and architecture organizations

Azure AI/ML Platform Engineer II

• Demonstrate solid technical skills and expertise in Microsoft Dynamics 365 and Power Platform
• Contribute to the design of scalable solutions to meet architectural standards
• Develop and configure solutions in Dynamics 365 and Power Platform
• Design and maintain custom plugins and workflows
• Follow cybersecurity best practices and respond to incidents when required

Senior Dynamics 365, Power Platform Developer

• Demonstrate solid technical skills and expertise in Microsoft Dynamics 365 (Model-driven apps), Power Platform, Power Pages, and cloud technologies.
• Analyze business needs and recommend appropriate technical solutions using Dynamics 365 and the Power Platform.
• Develop and configure solutions in Dynamics 365 CE, Power Platform, and Power Pages.
• Design, develop, and maintain custom plugins, workflows, and client-side scripts (JavaScript/XRM API) to extend platform functionality.
• Participate in peer code reviews to maintain code quality and adherence to standards.
• Use and maintain approved development tools, frameworks, and components.
• Follow cybersecurity best practices, participate in audits/training, and respond to incidents when required.
• Identify and document technical debt, supporting refactoring and continuous code quality improvements.
• Assist in troubleshooting critical incidents and ensure timely resolution and clear communication.
• Review software change requests and support deployment planning and release readiness activities.
• Participate in Agile ceremonies and contribute to a collaborative team environment.
• Work closely with Product Owners and business stakeholders to reduce software defects and deliver business value.
• Collaborate with infrastructure teams to ensure best practices in the use of Azure Cloud Services and related tooling.
• Coordinate with Fabric/Power BI and data platform teams to ensure accurate, consistent data integration between Power Platform solutions and enterprise reporting systems.

Intermediate Dynamics 365, Power Platform Developer

• Architect, implement, and maintain automated identity and access management solutions across on-premises and cloud environments, with a focus on enterprise-scale Active Directory and SailPoint integrations
• Develop and optimize automation scripts, workflows, and connectors (using PowerShell, BeanShell, Python, etc.) to streamline user provisioning/deprovisioning, group management, access reviews, and certifications
• Lead integration projects between SailPoint (IdentityNow/IdentityIQ), Active Directory (including Azure AD), and cloud security solutions (e.g., Zscaler, Okta, AWS IAM, Azure Security, etc.)
• Design, deploy, and manage automated access controls and role-based access control (RBAC) policies, ensuring compliance with security and privacy regulations (SOX, GDPR, HIPAA, etc.)
• Serve as a subject matter expert for Active Directory, including schema management, Group Policy Objects (GPOs), privileged access, domain trust relationships, and hybrid identity synchronization
• Automate and orchestrate processes across cloud security tools to facilitate user onboarding/offboarding, privilege management, and audit trail generation
• Troubleshoot complex identity and access management issues and directory synchronization problems, and perform root cause analysis of incidents involving identity or access failures
• Collaborate with other IT, cloud, and security teams to promote automation best practices and cross-platform security initiatives
• Maintain comprehensive documentation for architectures, workflows, procedures, and configuration changes within the identity and access management ecosystem
• Lead audit support activities, evidence collection, and remediation related to identity and access management using automated tools and reports

Senior Identity Platform Developer

• Optimize LLMs and ML models for high-performance inference using techniques such as quantization, pruning, distillation, and hardware specific tuning
• Deploy and scale inference workloads on GPUs across AWS, Azure, GCP and internal Kubernetes clusters, ensuring predictable performance during peak traffic hours, especially during business hours
• Implement routing and failover strategies for OpenAI/Anthropic/Vertex AI traffic
• Integrate models into production grade APIs supporting TR products and enterprise workflows
• Develop highly optimized environment and eliminate performance bottlenecks to reduce latency
• Collaborate with Platform Engineering teams (Landing Zones, Network, Storage, Compute, AI) to ensure inference workloads align with TR’s cloud native patterns (AWS, Azure, GCP, OCI)
• Build and optimize containerized inference pipelines using Kubernetes for large‑scale distributed workloads
• Ensure compliance with TR’s AI standards for deployment, monitoring, governance, and drift detection
• Profile inference performance, identify GPU/CPU bottlenecks, and optimize compute utilization across heterogeneous hardware
• Implement observability and health monitoring for inference pipelines, ensuring reliability of enterprise AI services
• Collaborate with platform teams to enhance capacity forecasting for AI workloads
• Work with Product, Data Science, Architecture, and Enterprise AI teams to onboard new research models into production
• Collaborates closely with AI engineers to invent new quantization techniques, improve numerical precision, and explore non‑standard architectures
• Partner with Cloud Engineers (Azure, AWS, GCP) to develop guardrails and automation that support inference workload
• Support the scale out of AI infrastructure during critical releases and global product rollouts.

Lead Inference Platform Support Engineer – AI

• Develop the Tailscale product, contributing to client code and backend services.
• Bring a special focus on our mobile platforms, iOS and Android.
• Collaborate with highly technical teams and work asynchronously.

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