Top Software Engineer Jobs in Calgary

Develop and maintain applications in Infor CloudSuite Distribution, integrate third-party apps, and design full-stack web applications while collaborating with stakeholders and improving development processes.

Lead Elasticsearch search relevance and vector search initiatives. Design and implement search features, algorithms, and data structures; improve speed, relevance, and scalability; resolve complex bugs; and contribute to Lucene. Collaborate asynchronously with globally distributed engineers and open-source contributors, review code, guide technical direction, and write modern Java. Apply vector similarity techniques and algorithms such as HNSW or IVF on search platforms at scale.

Design, build, and maintain full-stack features across frontend (TypeScript/React) and backend (JVM language or Python). Mentor engineers, participate in code reviews and pair-programming, deploy generative AI infrastructure, and ensure quality via unit testing and CI in an agile, remote environment.

Senior full-stack engineer responsible for designing, building, and owning end-to-end features across frontend (TypeScript/React) and backend (JVM languages or Python). Mentor junior engineers, drive best practices (unit testing, CI), deploy generative AI infrastructure, work with databases and cloud/distributed systems, collaborate in cross-functional teams, and contribute to product excellence in a remote, agile environment.

Lead development of Elasticsearch search and vector-search capabilities, including designing algorithms and data structures, implementing new features, improving relevance and performance, fixing complex bugs, and contributing to Lucene. Collaborate autonomously with globally distributed engineers and open-source contributors, guide technical initiatives, review code, and use modern Java to build scalable search functionality.

Build and operate production systems for agentic development experiences, including agent execution, tool use, context management, streaming, integrations, and long-running workflows. Extend provider-agnostic model architecture and connect agents with workspaces, tools, and developer infrastructure. Own projects through rollout, collaborate with Product and Design, participate in reviews, and improve system reliability, performance, and operability.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

As a Senior Backend Software Engineer, you will lead on architectural decisions, develop backend services and APIs, and handle scalable architecture for millions of users.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

As a Fullstack Software Engineer, you'll develop critical applications for Hadrian's FactoryOS, collaborating with teams to enhance manufacturing processes.

As a Software Engineer, you will collaborate in small teams, transform legacy systems, apply modern engineering practices, and continuously learn and grow.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Design, build, and maintain Luminai’s core platform infrastructure, backend services, shared libraries, internal APIs, and deployment systems. Lead projects that improve scalability, reliability, developer workflows, CI/CD, testing, and local development. Strengthen production systems through secure authentication, access controls, secrets management, code review, testing, and maintainable engineering practices.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

Build and maintain end-to-end web applications powering sales and operations. Design tools for quoting, scheduling, and fulfillment, integrate AI into products, collaborate on UX, ship high-impact features, and contribute to architecture, deployment, and engineering culture.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

The role involves building and owning production systems and services, conducting code reviews, writing tests, and mentoring engineers. The position emphasizes accountability for production quality and architectural decisions in a fast-paced environment.

Develop machine learning systems to detect fraud in real-time, utilizing both supervised and unsupervised learning algorithms. Design scalable architecture and optimize data processing systems using big data technologies.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.