Solution Architect
Supra ITS
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Job summary
Qualifications
- 8+ years of experience in production software engineering.
- 2+ years of experience in architecture or technical leadership.
- Ability to articulate technical vision to C-level and engineers.
- Experience in writing clear RFCs and design documents.
- Proven team building and mentoring capabilities.
Responsibilities
- Define the technical strategy for the AI ITSM Agent Platform.
- Make cloud infrastructure decisions and design systems for scale.
- Build and mentor the engineering team.
- Ensure execution with excellence and manage the technical roadmap.
Skills
Tools
Job description
There is an immediate need for an experienced Solution Architect at SupraITS Canada through its subsidiary Atomic North India. If you’re someone who can see both the big picture and the technical details, enjoys designing scalable systems, and thrives on solving complex engineering and infrastructure challenges then this position is for you.
This role is remote/hybrid and is available for candidates located in: Delhi, Chennai or Jammu
Founded in 1999, Supra ITS has grown into a globally trusted IT partner, delivering world‑class Managed IT, Cybersecurity, Digital Transformation, Application Services, and Business Process Outsourcing (BPO) Services. Headquartered in Mississauga, Supra ITS operates with 650+ employees worldwide, including Network Operations Centers (NOCs) in Canada and India, ensuring 24/7 IT support and seamless service delivery.
Supra ITS provides a full spectrum of IT solutions, including server and network management, private cloud, disaster recovery, service desk support, and advanced security services. With a security‑first approach and SLA‑driven commitments, Supra ITS takes complete ownership of IT services, allowing clients to focus on growth while ensuring uninterrupted operations.
In 2021, Canon Canada made an equity investment in Supra ITS, recognizing a shared vision to deliver world‑class technology and managed services across North America.
What began as a strategic investment has since evolved into an integrated partnership, combining Canon’s innovation and enterprise solutions with Supra ITS’s agility, customer focus, and managed services expertise.
Today, we operate as a unified force, driving rapid growth across North America through automation, cloud, cybersecurity, and business process solutions. Together, Canon and Supra ITS are accelerating digital transformation for customers, delivering secure, scalable, and performance‑driven IT solutions that redefine what it means to be truly customer‑centric.
Canon Canada’s strategic investment in Supra ITS strengthens this commitment by integrating Canon’s cutting‑edge technologies with Supra’s agile IT services. This partnership fosters innovation, enhances efficiency, and accelerates digital transformation, providing customers with superior IT solutions that are scalable, secure, and customer centric.
For more information, visit www.supraits.com.
Atomic North is the India‑based subsidiary of Supra ITS, serving as the global delivery and operations centre behind Supra’s Managed IT, Application Services, and BPO businesses. As an integral part of Supra ITS’ international ecosystem, Atomic North ensures operational transparency, and seamless collaboration with our North American leadership teams. As Supra ITS scales rapidly across North America in partnership with Canon, Atomic North is expanding its leadership team in India to support the company’s next phase of growth, maturity, and operational excellence.
This is your opportunity to join a dynamic company with a team that works very well together and has solid organized structures in place. Supra’s head office is based in Brampton, Ontario with offices across North America and growing, you will be part of a growing team and evolving company.
Our global delivery operations are in India through our subsidiary, Atomic North. With Canon’s strategic equity partnership and a strong North American customer base, Supra ITS is scaling its India operations to deliver world‑class infrastructure services, automation, and cybersecurity solutions.
We’re looking for a strategic technical leader who can balance architecture, reliability, security, cost, and team growth while guiding engineers and driving long‑term technical vision.
As Solution Architect, you’ll define the technical strategy for the AI ITSM Agent Platform. You’ll make cloud infrastructure decisions, design systems for scale, build and mentor the engineering team, and ensure we execute with excellence. You’ll report to the CTO and own the platform’s technical roadmap for 18–24 months.
An experienced Solution Architect with 8+ years’ experience in production software engineering
2+ years’ experience in architecture or technical leadership.
Can articulate technical vision to C-level and engineers
Writes clear RFCs and design docs that guide implementation
Runs effective technical discussions; makes decisive trade‑off decisions
Builds and mentors engineers; creates psychological safety and growth
Transparent: admits when you don't know; seeks expertise
- Technical architecture: design system for 10x growth (compute, data, async processing, observability)
- Cloud infrastructure on AWS/GCP/Azure: serverless vs. containerized, multi‑region strategy, cost optimization
- Security & compliance: authentication, authorization, encryption, audit logging, data privacy
- Observability: monitoring, logging, alerting, SLOs/SLIs, incident response
- Team building: hire engineers (junior through architect), establish best practices, mentorship
- Technology choices: databases, message queues, vector DBs, agent frameworks, deployment platforms
- Reliability: design for 99.9% uptime, disaster recovery, data integrity
- Cost optimization: right‑sizing resources, pricing models, vendor management
- Clouds - AWS (EC2, ECS, RDS, Lambda, S3) or GCP (Compute Engine, Cloud SQL, Cloud Run) or Azure
- Full Stack - React, TypeScript, FastAPI, Python, PostgreSQL, Docker
- Distributed - Message queues, load balancing, replication, sharding
- Agents/AI - LLM integration patterns, agent orchestration, MCP, vector scaling, Claude Agents
- Observability - Structured logging, metrics, traces, alerting (Datadog, ELK, etc.)
- Mastery across full stack: React, TypeScript, FastAPI, Python, PostgreSQL, Docker
- Can jump into any layer and make informed decisions or code changes
- Deep understanding of trade‑offs between technologies
- Compute options: EC2/VMs vs. Lambda/serverless vs. Kubernetes; when each is appropriate
- Database scaling: read replicas, Multi‑AZ, replication, sharding strategies
- Networking: VPC design, security groups, load balancing, multi‑region failover
- Security: encryption, secrets management, IAM, audit logging, compliance
- Cost optimization: right‑sizing, reserved instances, spot instances, pricing models
- Microservices vs. monolith: when each is appropriate
- Asynchronous processing: message queues, job processors, event‑driven architectureCaching strategies: cache invalidation, CDN, in‑memory, database‑level
- API design patterns: rate limiting, circuit breakers, bulkheads
- Observability: structured logging, metrics, distributed tracing, alerting
- SLOs/SLIs: defining reliability targets, measuring against them
- Incident response: post‑mortems, root cause analysis, blameless culture
- Deployment strategies: blue‑green, canary, feature flags, rollback
- LLM integration patterns: streaming, token management, rate limiting
- Agent workflow architecture: planning, memory, reflection, tool use
- Vector embedding pipelines: batch processing, caching, similarity search at scale
- Cost optimization for LLM usage: token counting, batching, caching
- Redis caching and optimization
- Message queues (Celery, Bull)
- GraphQL experience
- Advanced prompt engineering and fine‑tuning experience
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