Top Software Engineer Jobs in Calgary

Own and set direction for a large domain, design cross-team architecture, build production systems (often AI-enabled), partner with product/design/data, coach senior engineers, and remain hands-on in code and delivery.

Build and maintain PHP and Python services and RESTful APIs powering credit card issuance, rewards, and payments. Own features end-to-end, make architectural decisions, optimize MySQL queries, integrate with banking cores and payment networks, and mentor junior engineers while working asynchronously in a remote-first environment.

Build and maintain cross-platform mobile apps (primarily Flutter) and full-stack services. Design and operate serverless backend infrastructure on GCP/Firebase, model Firestore databases, implement RESTful APIs and integrations, monitor and debug production systems, support deployments, and collaborate across product, design, QA, and engineering to deliver scalable, well-tested features.

Lead technical strategy and architecture for Coinbase Payments: design and evolve high‑availability, low‑latency funds‑flow and rails systems, drive cross‑team initiatives and reliability improvements, enforce financial correctness, mentor senior engineers, and align stakeholders across product, risk, and compliance.

Build and maintain consumer-facing full-stack products, with a primary focus on React-based frontend development and a secondary focus on backend services. Develop reusable UI components, APIs, microservice integrations, and cloud infrastructure using technologies including JavaScript, Node.js, Golang, GCP, GraphQL, PostgreSQL, Spanner, and BigQuery. Collaborate with product and design teams, uphold architecture and code quality standards, deploy solutions through CI/CD, and mentor other engineers.

Join ROOST's Coop project to design, implement, test, document, and release trust-and-safety features. Work across backend APIs, GraphQL, databases, and UI to improve reviewer workflows, detection integrations, and reporting. Lead code quality, security practices, community contribution reviews, and stakeholder coordination while engaging with users and the open source community.

Join the ROOST Osprey team to design, implement, test, and maintain a high-performance, real-time safety rules engine. Work includes building data/event pipelines, scaling and containerizing services, integrating with Kafka and gRPC, reviewing community contributions, maintaining code quality and security, and engaging with users and open source contributors to prioritize and deliver features.

Design and scale backend systems for consumer-facing financial products, build high-volume APIs, and improve reliability, security, code quality, and operational excellence. Collaborate with product, finance, credit, compliance, support, and analytics teams. Participate in technical discussions, code reviews, and roadmap planning while mentoring peers and applying AI-powered development tools.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Build and operate Planet’s large-scale storage infrastructure, including object storage, metadata indexing, Elasticsearch search, event notification, and disaster recovery. Develop highly available backend services and APIs, monitor and tune production systems, respond to incidents, and improve performance. Advise engineers, lead technical projects, contribute to architectural roadmaps, participate in design reviews, and support engineering practices and documentation.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The role focuses on optimizing coding practices and collaboration within the engineering team, improving internal tooling, and communicating between teams and leadership.

The Software Developer will design, implement, and test software solutions, focusing on modern design principles and collaborating with global teams to enhance medical software architecture.

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

Build and enhance Elasticsearch’s analytical query engine and ES|QL capabilities. Design data-intensive features, algorithms, and data structures; optimize performance; resolve bugs; and work near operating system and hardware layers. Collaborate with globally distributed engineering teams and open-source contributors, guide projects autonomously, review code, and improve Elasticsearch expertise and usability.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Join the Invoice Simple Core team to design, implement, test, and ship TypeScript-based web and mobile features. Collaborate with product and senior engineers, follow engineering standards, improve maintainability, and support the full app lifecycle from development to production.

Lead AI agent optimization efforts by designing systems that improve token efficiency, response time, reliability, and output quality. Build agentic coding systems, develop AI application patterns, own features end to end, collaborate with engineering and field teams, support the developer community, and create public technical documentation. Work across Python, TypeScript, Java, and Go while serving as a domain expert in agent design and optimization.

Leads and mentors a software engineering team while remaining hands-on with Java and full-stack development. Guides architecture, code reviews, technical decisions, sprint planning, delivery, and stakeholder collaboration. Champions engineering practices including automated testing, CI/CD, monitoring, microservices, and continuous releases. Builds scalable production systems, reliable REST APIs, and high-performance database solutions using ReactJS, Java, PostgreSQL, Docker, AWS, and related cloud technologies.