Software Automation Developer
Role Overview
We are seeking an experienced Software Developer with Software Architect capabilities to join our engineering team in Ottawa.
In this hands‑on technical leadership role you will design and build high‑performance, resilient cloud‑native applications and next‑generation AI agentic platforms on GCP and Azure, drive best‑in‑class DevOps practices, and mentor engineers across the full stack.
How You Will Contribute And What You Will Learn
• Architect, build, and deploy mission‑critical, highly available applications on Google Cloud Platform and Microsoft Azure.
• Design and manage containerized microservices using Kubernetes, including networking, ingress, service mesh, and Helm charts.
• Develop full‑stack software in Python and Go, implementing modern client‑server patterns, REST/gRPC APIs, and event‑driven architectures.
• Create and evolve AI agentic platforms with Model Context Protocol (MCP) servers, gateways, and Agent‑to‑Agent orchestration.
• Define and enforce enterprise‑grade authentication and authorization frameworks (OAuth2, OIDC, mTLS, SPIFFE/SPIRE, RBAC/ABAC).
• Apply IP networking expertise to design resilient hybrid network topologies, SDN, VPC/VNet peering, and traffic security.
• Provide technical leadership, conduct code and architecture reviews, and mentor engineering teams.
• Champion modern DevOps, GitOps, and CI/CD automation (ArgoCD, Flux, Terraform, Pulumi).
• Implement observability, telemetry, and distributed tracing using OpenTelemetry, Prometheus, and Grafana.
• Collaborate with product and research groups to translate AI and automation requirements into scalable solutions.
Full Job Posting
Job Description
We are seeking an experienced Software Developer with Software Architect capabilities to join our engineering team in Ottawa.
In this hands‑on technical leadership role you will design and build high‑performance, resilient cloud‑native applications and next‑generation AI agentic platforms on GCP and Azure, drive best‑in‑class DevOps practices, and mentor engineers across the full stack.
How You Will Contribute And What You Will Learn
- Architect, build, and deploy mission‑critical, highly available applications on Google Cloud Platform and Microsoft Azure.
- Design and manage containerized microservices using Kubernetes, including networking, ingress, service mesh, and Helm charts.
- Develop full‑stack software in Python and Go, implementing modern client‑server patterns, REST/gRPC APIs, and event‑driven architectures.
- Create and evolve AI agentic platforms with Model Context Protocol (MCP) servers, gateways, and Agent‑to‑Agent orchestration.
- Define and enforce enterprise‑grade authentication and authorization frameworks (OAuth2, OIDC, mTLS, SPIFFE/SPIRE, RBAC/ABAC).
- Apply IP networking expertise to design resilient hybrid network topologies, SDN, VPC/VNet peering, and traffic security.
- Provide technical leadership, conduct code and architecture reviews, and mentor engineering teams.
- Champion modern DevOps, GitOps, and CI/CD automation (ArgoCD, Flux, Terraform, Pulumi).
- Implement observability, telemetry, and distributed tracing using OpenTelemetry, Prometheus, and Grafana.
- Collaborate with product and research groups to translate AI and automation requirements into scalable solutions.
Key Skills And Experience
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent experience.
- 5+ years of professional software engineering with end‑to‑end system architecture responsibilities.
- Hands‑on experience deploying complex multi‑service applications on GCP and Azure.
- Deep expertise in Kubernetes ecosystem (Helm, Operators, CNI, Istio/Envoy).
- Advanced programming skills in Python and Go; experience with TypeScript/Node.js, Java, or C++ is a plus.
- Strong full‑stack web development background (REST, gRPC, async/event‑driven design).
- Solid IP networking knowledge (OSI layers, TCP/IP, VPC/VNet peering, routing, security policies).
- In‑depth understanding of OAuth2, OpenID Connect, JWT, mTLS, and RBAC/ABAC for autonomous agents.
- Practical experience with AI agentic concepts, MCP servers/clients, and LLM tool augmentation.
- Familiarity with IaC tools (Terraform, Pulumi, Ansible) and multi‑agent orchestration frameworks (LangGraph, AutoGen, CrewAI).
About Us
Advancing connectivity to secure a brighter world.
Nokia is a global leader in connectivity for the AI era.
With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Learn more about life at Nokia .
Our recruitment process
We act inclusively and respect the uniqueness of people.
Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply.
Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements.
We strive to ensure a smooth and inclusive experience for all candidates.
Discover more about the recruitment process at Nokia .
About The Team
Some of our benefits in Canada :
• Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability, and long-term disability
- Life insurance, and AD&D – Company paid 2x base pay
- Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
- Paid time off for holidays and Vacation
• Tuition Assistance Plan
- Adoption assistance
• Employee Assistance Program And Work Life Resource Program
The above benefits exclude students.
Disclaimer for US/Canada
Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.
Check the salary ranges in the job info section for this role.
All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.
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