Top Software Engineer Jobs in Calgary

Develop and maintain simulation scenes, implement motion-planning and collision-checking in ROS2/MoveIt2, build perception components for detection and point-cloud processing, write tested C++/Python code, debug software-hardware integration, and participate in code reviews, CI, and agile practices in onsite R&D/production facilities.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

Lead end-to-end technical direction for Grafana’s Session Replay product across frontend, backend, and data systems. Design scalable columnar storage, ingestion pipelines, data models, and query patterns for high-volume session data. Build cross-product investigation workflows connecting replay with observability data, guide architecture, collaborate with customers and internal teams, improve engineering practices, and mentor engineers.

Build, deploy, operate, and improve backend services and cloud infrastructure supporting Mozilla products. Responsibilities include backend development, API and data contract design, production monitoring, incident response, on-call support, releases, security and privacy reviews, code reviews, and mentoring. The role requires end-to-end service ownership, collaboration with frontend and cloud teams, and maintaining reliable production systems using modern observability and DevOps practices.

Build and own full-stack features across patient, clinician, and operational healthcare products. Responsibilities include architecture, scalable coding, testing, CI/CD, code review, technical discussions, stakeholder collaboration, and mentoring. The role requires daily use of AI coding tools and ownership of projects from ideation through rollout. Experience with healthcare, EHR integrations, regulated domains, or consumer startups is beneficial.

Build and maintain automated API, UI, and integration tests; own quality for assigned features and services; integrate testing into CI/CD pipelines; monitor test reliability and pipeline health; collaborate with engineers on testability, root-cause analysis, and defect prevention; and apply risk-based testing and emerging agent-assisted workflows.

Build customer-facing growth and engagement features across acquisition, activation, retention, and monetization. Design and analyze experiments using feature flags and A/B testing, develop instrumentation and event pipelines, improve performance and scalability, and contribute to architecture and technical strategy. Collaborate with Product, Design, Data, Marketing, and Customer Success while mentoring engineers and promoting reliable, high-quality engineering practices.

Develop and maintain a low-latency, high-performance game streaming application across multiple platforms. Responsibilities include UI, video encoding and decoding, networking, input devices, video rendering, UDP protocols, and production C development. The role involves solving complex performance challenges, deploying code to millions of users, collaborating with a globally distributed team, mentoring engineers, and responding to customer needs.

Build and improve GitLab authentication services across Ruby on Rails and Go codebases. Design token issuance, validation, identity, access management, passwordless authentication, workload identity federation, and secure automation features. Migrate authentication paths to GATE while supporting multiple deployment models, address reported vulnerabilities, optimize performance, review code, establish engineering standards, and collaborate on complex projects in a remote, asynchronous environment.

Build and improve scalable full-stack products for higher education, owning initiatives across the software development lifecycle from discovery through release. Collaborate with Product, Design, and Engineering in a cross-functional Scrum team, experiment with AI technologies, resolve bugs, complete tickets, and deliver reliable, tested, user-focused features.

Own and deliver high-availability, low-latency backend systems supporting authentication, verification, and fraud journeys across web and mobile. Lead quarterly goals, guide engineers through ambiguous problems, collaborate with product, design, and analytics, resolve technical and business issues, monitor system availability, improve engineering standards, support on-call operations, and develop team talent.

Join Texas Instruments’ Embedded Processing Software Engineering Tools team in Toronto through a first-year Career Accelerator Program. Develop desktop and cloud-based embedded tooling, contribute to complex application software, learn software development life cycles, and work with embedded devices, SDKs, and industry-standard tools. The role requires collaboration, problem-solving, communication, and programming experience with TypeScript, JavaScript, React, HTML, and CSS.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Design, build, and operate customer-facing AI platform services and agentic workflows primarily in Python. Develop orchestration, tool execution, state management, evaluation, tracing, observability, and quality feedback systems. Integrate AI capabilities with PHP and Java services while optimizing reliability, latency, scalability, cost, and model quality. Collaborate with product, design, data, security, and engineering teams, contributing technical leadership, architecture guidance, code reviews, testing, documentation, and mentorship.

Design and build Samsara’s cloud governance platform, including IAM guardrails, security controls, compliance automation, and software supply-chain security tooling across AWS and GCP. Develop reliable distributed systems, secure CI/CD patterns, and SAST/DAST capabilities. Contribute to technical roadmaps, collaborate across infrastructure, security, compliance, and engineering teams, and communicate design tradeoffs while mentoring teammates through reviews and pairing.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Lead architecture and technical direction for scalable SaaS platform capabilities, including APIs, distributed services, data flows, and AI-enabled features. Establish responsible AI and agentic engineering practices, evaluation and guardrail systems, production-readiness standards, secure-by-design controls, testing, CI/CD, observability, and reliability practices. Drive complex cross-functional initiatives, mentor engineers, conduct architecture and code reviews, and shape technical roadmaps and engineering standards.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

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.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

Design, build, deploy, and maintain production AI capabilities and intelligent workflows across a multi-tenant SaaS dental platform. Responsibilities include developing agents, MCP servers, models, RAG/embedding solutions, APIs, monitoring, and collaborating on design, code reviews, testing, and production support to improve reliability and customer experience.

Design, build, and operate production AI platform capabilities and agentic workflows across a multi-tenant SaaS product. Collaborate on architecture, write production code, perform design/code reviews, mentor engineers, troubleshoot production issues, and evaluate emerging AI technologies to scale intelligent applications.

The Full Stack Software Engineer will develop and deliver ML-powered applications, working with cloud services, APIs, and modern front-end frameworks while actively participating in technical design and collaboration within a project pod.

Build and maintain full-stack healthcare software that supports clinicians and improves patient care. Collaborate with operators, clinicians, product managers, and users to understand business needs, shape solutions, and deliver features. Responsibilities include making technical and product decisions, developing scalable distributed systems, writing tests, documenting implementations, adopting AI agents, and improving development practices.