Top Software Engineer Jobs in Ottawa

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Lead backend development and own services end-to-end: design, deploy, operate, monitor, and troubleshoot production systems. Collaborate with frontend, CloudEng, product, and design teams; participate in on-call rotations, code reviews, security/privacy reviews, and mentoring. Use observability tooling and cloud infrastructure to maintain reliability and ship high-quality features.

Build and own backend services end-to-end: design, implement, deploy, operate, and monitor production systems. Collaborate with frontend, CloudEng, product, and design; participate in on-call rotations, incident response, security/privacy reviews, code reviews, and mentor junior engineers while improving reliability and cloud infrastructure.

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Lead design and development of SONiC-based platform architecture for optical circuit switches, including SAI enablement, containerized services, Debian packaging, release management, telemetry/observability, fault/event frameworks, and cross-functional integration. Contribute to upstream SONiC/OCP and drive platform bring-up and stabilisation across releases.

The Applied AI Backend Sr. Software Developer will design, develop, and maintain SaaS products, mentor junior engineers, and ensure robust backend services using AI tools.

Lead backend development for a cloud-native AI security SaaS: design and deploy scalable microservices and event-driven systems, own features end-to-end, validate AI-generated code for security, implement IaC and CI/CD, mentor engineers, troubleshoot distributed system issues, and collaborate with product, UX, and SRE teams.

Lead development of Elasticsearch search relevance and vector search features. Design and implement new search algorithms and data structures, fix complex bugs, improve Lucene, collaborate with a globally distributed team, engage with the community on issues and PRs, and write idiomatic modern Java.

Lead architecture, build, test, and deploy scalable web and mobile features. Design integrations and onboarding infrastructure, act as a product partner, work directly with customers for custom integrations, leverage LLMs/AI tooling to accelerate delivery, and improve reliability, observability, and performance while mentoring teammates.

Design, build, and maintain scalable, high-performance web applications using React, Node.js, and AWS. Collaborate with cross-functional teams on architecture, implement backend microservices, apply containerization and orchestration, enforce best practices, and solve complex problems. Mentor team members and participate in special projects.

Design, build, and operate a cloud-native data and ML platform handling billions of events. Own end-to-end pipelines, feature stores, model training/serving, observability, and data product SLAs. Apply distributed systems, MLOps, and LLM/agentic systems to ensure reliable, low-latency access to features and production models with business-focused impact.

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.

Lead and deliver full-stack SaaS features: design architecture, implement Node.js back-end APIs, develop React/Vue/Ember front-ends, write tests, debug, mentor engineers, and collaborate in Agile to build scalable cyber-risk solutions.

Lead architecture and delivery of large, distributed telemetry database systems for Grafana Cloud. Own reliability, performance, cost, SLOs/SLIs, incident response, observability, automation, and cross-team alignment while mentoring engineers and driving technical strategy.

Design, build, and operate identity, authentication, and authorization platforms (user management, authN, authZ) at scale. Partner with security to ensure SOC2/GDPR-compliant, secure-by-design systems. Deliver APIs and self-service tooling (GraphQL/gRPC/REST), improve observability, testing, and reliability, and drive roadmap and execution across time zones.

Design and implement high-performance native Android applications for courier logistics. Own modular architecture, location services, CI/CD, performance tuning, testing, and mentor peers while delivering reliable production releases.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.

Design, build, and operate scalable backend services (primarily Python/Flask) for restaurant partners. Own projects end-to-end, identify high-impact opportunities, collaborate across product/design, ensure quality, monitoring, and performance at scale.

Own and deliver end-to-end backend and platform systems that move real money. Collaborate with Product and Design to define scope, build reliable production services, participate in on-call and incident response, and improve team tooling and processes.

Build and maintain scalable, cloud-native APIs using .NET. Enhance core platform components, lead architecture and testing discussions, optimize telemetry and performance, collaborate cross-functionally, conduct code reviews, and mentor team members.

Lead design and implementation of highly scalable, secure backend services and APIs. Define architecture for databases and microservices, own projects end-to-end, resolve reliability/performance issues, improve CI/CD and observability, mentor engineers, and align technical strategy with product and security requirements.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.