Top Software Engineer Jobs in Calgary

Lead architecture and technical direction for the NHI Governance domain, owning complex server-side initiatives to discover, assess, and remediate non-human identities across cloud and on-prem environments. Define standards, interfaces, and contracts; drive quality, security, observability, performance; mentor senior engineers; and partner with product and design to align technical strategy with business goals.

Implement, test, and maintain features and services for NHI governance within a SaaS product. Write well-tested code, participate in design, fix bugs, improve observability and operational health, and collaborate with product and design while growing ownership of larger work.

Design, build, and maintain scalable, performant, and accessible front-end features and dashboards for non-human identity governance. Collaborate with design, product, and backend teams to integrate APIs, optimize data flows, maintain component libraries and design systems, champion accessibility and performance, write well-tested code, and mentor engineers.

Lead architecture and implementation of scalable, secure cloud-native microservices for non-human identity governance. Design APIs, data pipelines, observability, and IaC; mentor engineers; drive cross-team technical direction, performance, and operational excellence.

Drive technical direction and deliver complex multi-month software projects. Translate ambiguous product needs into technical plans, lead design reviews, mentor engineers, collaborate with cross-functional teams and vendors, ensure quality and operational readiness, produce design docs, and support roadmap and backlog feasibility for digital products.

Lead design and delivery of scalable backend systems powering 3D and computer-vision experiences. Build mission-critical APIs, ETL/data pipelines, and distributed services; mentor senior engineers; drive architecture, observability, resiliency, and cross-team initiatives to ensure performance at global scale.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

The Senior Software Engineer, Workflow Platforms will architect, build, and operate orchestration platforms for machine learning, data pipelines, and CI/CD at Bot Auto, ensuring reliability and efficiency.

The Staff Software Development Engineer will define technical vision, mentor engineers, oversee AI platform development and ensure scalability, reliability and security.

Design and build an events-first observability platform: architect high-throughput ingest, storage, and query pipelines; ship SDKs and instrumentation; define standards (OpenTelemetry, SLOs); enable AI-agent investigation and mentor senior engineers while leading cross-team technical initiatives.

The Staff Software Engineer will design, develop, and maintain scalable cloud-based solutions, manage data ingestion and retrieval, and lead architectural innovation while collaborating with cross-functional teams.

The Senior Software Engineer will lead the technical direction for MAP Policy Partners, focusing on web scraping, Ruby on Rails maintenance, and automation of product development.

The Principal Software Engineer will enhance vector similarity search functionality in Elasticsearch, lead initiatives, improve search algorithms, and collaborate with a distributed team.

Develop and manage GoDaddy's eCommerce and SSO infrastructure, focusing on backend services and APIs using Java and Kubernetes on AWS.

Build and maintain scalable core platform microservices (AuthN/AuthZ, RBAC, onboarding, reporting, auditing, notifications, APIs). Implement IaC and cloud automation using Terraform/Terragrunt, improve observability with Datadog, participate in code reviews, troubleshoot production incidents, and collaborate cross-functionally to deliver secure, reliable platform capabilities.

As a Senior Software Engineer, you will design and deliver user-friendly software, manage APIs, and create scalable microservice architectures.

Join as an SDET to design and manage automated test suites, create and maintain test cases and plans, write unit and API tests, track and verify defects, debug complex systems, and integrate testing into CI/CD pipelines while collaborating with engineering and DevOps.

Design, build, and operate backend services powering margin, lending, balances, buying power and collateral. Own end-to-end scope—from technical design to production reliability—ensuring real-time correctness, low latency, and high availability. Evolve an event-driven, Kafka-based JVM architecture, mentor engineers, and use AI-assisted tooling to improve delivery and quality.

Lead design and implementation of full-stack SaaS features: write backend Node.js APIs, build SPA front-ends (React/Vue/Ember), mentor engineers, own architecture, write tests, debug, and collaborate in Agile teams.

As a Software Application Developer, you will design, build, and support secure applications, using Java and Spring Boot, with a focus on integrating AI and cloud technologies. Full SDLC involvement and collaboration with cross-functional teams is essential.

The Solutions Engineer will support the integration of Near Intents, assist developers, enhance product stability, and provide technical support to ecosystem partners.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Design and implement backend services, APIs, CI/CD and cloud infrastructure using IaC and Kubernetes. Build internal developer tooling, define observability and security standards, lead incident response, and mentor engineers while applying AI tools to improve productivity and delivery.

Design, build, and operate AI platform services for model training and inference at scale. Own reliability, Kubernetes/GKE deployments, GitOps pipelines, Terraform provisioning, observability, packaging and deployment automation, and incident response while collaborating with product, infrastructure, security, and data teams.