We are seeking an experienced Systems Architect to lead the design, implementation, and evolution of scalable, secure, and high-performing technology solutions across cloud and hybrid environments.
This role is responsible for shaping enterprise architecture spanning infrastructure, applications, data platforms, and AI-enabled systems. The ideal candidate brings deep expertise in cloud-native design, distributed systems, and full-stack integration, along with a strong foundation in networking and infrastructure.
You will play a key role in advancing our adoption of modern technologies, including AI/ML and generative AI, ensuring solutions are scalable, secure, and aligned with business objectives.
Major Responsibilities: Architecture Strategy & Governance - Own and evolve enterprise architecture across cloud, hybrid, and AI-enabled systems
- Define and enforce standards for scalability, security, resiliency, and responsible AI • Translate business strategy into technology and AI-enabled architecture roadmaps
- Lead architecture governance, design reviews, and technology selection
- Evaluate emerging technologies and drive adoption aligned to business value
Cloud, Platform & AI Engineering - Architect and optimize solutions on Microsoft Azure, including compute, data, and AI services
- Design and govern Kubernetes-based platforms supporting microservices and AI/ML workloads
- Define architecture for model deployment, inference, and scaling (real-time and batch)
- Lead cloud modernization initiatives with automation, observability, and cost optimization
- Establish platform capabilities for MLOps, CI/CD, and infrastructure-as-code
Infrastructure & Network Architecture- Define architecture for compute, storage, and networking, including GPU-enabled environments for AI workloads
- Design secure, scalable network architectures aligned with zero-trust principles
- Architect for high availability, disaster recovery, and cross-region resilience
- Align infrastructure capabilities with data and AI platform requirements
Application & Integration Architecture - Define patterns for API-first, event-driven, and microservices architectures
- Design integration strategies across enterprise systems, including AI and data platforms
- Guide development of AI-enabled applications, including generative AI integration
- Standardize service communication, orchestration, and service mesh approaches
Data & AI Architecture- Define enterprise data architecture supporting analytics, real-time processing, and AI/ML
- Establish patterns for data ingestion, transformation, governance, and lifecycle management
- Architect and oversee MLOps (training, deployment, monitoring, retraining)
- Ensure data quality, privacy, compliance, and responsible AI practices (bias, explainability, drift)
- Enable scalable use of structured and unstructured data for AI-driven insights
Leadership & Collaboration- Partner with engineering, DevOps, data, and business teams to deliver architecture outcomes
- Provide technical leadership, mentorship, and architectural direction
- Participate in solution delivery, risk management, and technical decision-making
- Collaborate with vendors and partners, including cloud and AI providers
- Communicate architecture decisions, risks, and trade-offs to technical and business stakeholders
Working Conditions: - Hybrid of remote work and office setting
- Office setting - Open, collaborative office space (may vary by location)
- Fast paced environment with tight deadlines
- Reliable access to personal transportation is a requirement
Minimum Required Technical Skills / QualificationsEducation:- IT related degree/diploma or Computer Science/Computer Engineering degree
Experience:- 10+ years of experience in IT architecture, systems engineering, or related roles, with increasing responsibility in solution and platform design
- Deep expertise in Microsoft Azure, including compute, networking, storage, identity, and security domains
- Proven experience designing and delivering cloud-native and distributed systems architectures
Required Qualifications: Platform & Infrastructure - Hands-on experience with Kubernetes and container orchestration in production environments
- Strong understanding of infrastructure design, including virtual machines (VMs), Docker, and Linux-based container platforms
- Working knowledge of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) and secure network design principles
- Experience designing highly available, scalable, and resilient infrastructure solutions, including hybrid environments
Application & Integration- Solid understanding of modern application architectures, including microservices, API-driven, and event-driven design
- Experience with full-stack development concepts and technologies such as Python, C#, React, Angular, and Flutter
- Experience with mobile application architectures and integration patterns
- Familiarity with middleware and distributed data technologies such as MongoDB, Redis, and messaging platforms
Data, DevOps & AI Enablement- Experience with CI/CD pipelines and modern DevOps practices, including infrastructure-as-code and automated deployments
- Understanding of data platforms and pipelines supporting scalable and real-time processing
- Exposure to AI/ML concepts and platforms, including integration of AI services into enterprise applications
- Familiarity with MLOps concepts (model lifecycle, deployment, monitoring) is an asset
Architecture Practice & Leadership- Strong documentation and architecture communication skills, including experience producing ADRs and TOGAF-aligned artefact
- Excellent communication, stakeholder management, and organizational leadership skills
- Proven ability to influence technical decisions and align cross-functional teams
Preferred Qualifications:- Certifications such as TOGAF and/or cloud certifications (e.g., Azure Solutions Architect)
- Experience with modern technology stacks, including Kubernetes, cloud-native platforms, observability tools, virtualization, storage, and enterprise networking
- Hands-on experience with microservices and event-driven architectures at scale
- Experience with Infrastructure as Code (Terraform, Bicep, ARM templates)
- Experience in hybrid cloud and/or multi-cloud environments
Observability & Platform Operations - Familiarity with observability and monitoring tools such as Elasticsearch, Prometheus, Grafana, and Azure Monitor
- Understanding of logging, tracing, and metrics strategies for distributed systems
Advanced Architecture (Nice-to-Have)- Knowledge of service mesh technologies (e.g., Istio, Linkerd) • Experience designing platforms supporting AI/ML workloads or data-intensive applications
- Exposure to security frameworks and zero-trust architecture principles
Skills:- Strategic and analytical thinking
- Operational excellence mindset
- Leadership and team development
- Cross-functional collaboration
- Risk management and decision-making
- Ability to simplify complex technical concepts for non-technical audiences
Salary: $200k-210k
