Top Software Engineer Jobs in Ottawa

Develop full-stack software tools, frameworks, and applications for Windows and cloud platforms supporting data collection, test automation, and high-volume manufacturing. Build scalable solutions across application and data layers using CI/CD and agile practices. Standardize test frameworks, troubleshoot complex environments, and collaborate with engineering and R&D teams to define requirements. Provide technical guidance while applying modern cloud, web, data science, and test-driven development technologies.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Build and maintain Quora’s machine learning platform and distributed model-serving infrastructure. Develop scalable systems for recommendation and language models, optimize GPU serving latency, throughput, and cost, improve ML tooling and feature stores, and contribute to platform modernization. The role includes production deployment, collaboration with senior engineers, mentoring, and participation in an on-call rotation.

Build and maintain Go backend services for billing, including usage tracking, estimates, alerts, invoicing, integrations, and migrations. Troubleshoot billing issues, protect sensitive customer and payment data, and collaborate with Finance, Product, Support, and global engineering teams. Write tested, documented code and contribute to reliable distributed systems.

As a Software Developer II, you will design and implement software systems, collaborate with peers, and improve product capabilities using various technologies, particularly TypeScript and Python.

Build and improve AI-powered customer support agents for telecommunications providers. Responsibilities include developing the agent runtime, configuration tools, observability dashboards, evaluation frameworks, safety guardrails, continuous-improvement systems, and omnichannel integrations across voice, chat, email, and SMS. The role uses TypeScript across frontend, backend, and infrastructure in a serverless microservices environment, with emphasis on LLMs, agent design, product quality, and customer trust.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Develop and enhance configurable SaaS and enterprise software platforms in Java and .NET environments. Responsibilities include analysis, design, software development, collaboration with product owners, and participation in an Agile/Scrum team. The role may involve cloud mobility, data visualization, and artificial intelligence technologies, requiring strong problem-solving, independent work, collaboration, and the ability to learn new concepts quickly.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Build and lead the technical strategy for CircleCI Server, an on-premises CI/CD platform. Develop Kubernetes infrastructure, Helm-based deployment, release automation, testing tools, observability, and diagnostics using OpenTelemetry. Improve installation, upgrades, reliability, and operations across customer environments, including air-gapped deployments. Partner with Product, Engineering, Support, Customer Engineering, and customers while mentoring engineers and making architecture decisions across systems and teams.

Build and operate CircleCI’s data query platform, including ClickHouse storage, event-driven ingestion, Temporal workflows, APIs, indexing, caching, and tiered storage. Design schemas, optimize high-volume queries, improve reliability and observability, and lead architectural decisions. The role requires strong backend engineering, distributed systems expertise, AI-native practices, and technical leadership across production data systems.

Build and operate infrastructure security platforms centered on workload identity, service-to-service authentication, authorization, and short-lived credentials. Replace static secrets with identity-based systems, develop identity-authenticated proxies and APIs, and unify authorization policy management. Partner with platform and application teams to drive adoption, migrate legacy systems, and ensure reliable production infrastructure with strong developer experience.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Develop and maintain automated unit, integration, and end-to-end testing frameworks for cloud-native platform services. Investigate deployment issues, troubleshoot root causes, create test plans, validate rollback strategies, and automate service deployments. Collaborate with engineering teams on testing changes and integration environments involving Kubernetes, Service Mesh, APIs, and control-plane technologies. Apply Linux, networking, scripting, performance, and SLO monitoring expertise to ensure scalable, reliable, and secure deployments.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

Designs, develops, tests, deploys, troubleshoots, and optimizes high-performance embedded C/C++ software for Linux and VxWorks environments. Implements real-time operating system functionality and networking protocols, develops scalable solutions, and collaborates with architects and cross-functional teams. Leads project execution by managing schedules, risks, dependencies, and priorities while guiding junior engineers and ensuring reliable, high-quality software delivery.

Own end-to-end development of AI observability capabilities, including data ingestion, infrastructure, data modeling, and product visualizations. Build systems surfacing AI cost, token usage, errors, and anomalies while collaborating with product and design teams. Ship customer-facing SaaS features, teach AI debugging best practices, iterate through experimentation, participate in on-call rotation, and potentially develop LLM or agent-powered production features.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

Develop performant, standards-compliant Firefox layout and rendering code focused on Asynchronous Pan and Zoom. Responsibilities include designing algorithms and interaction techniques, debugging and optimizing multithreaded code, reviewing contributions, testing bugs, and collaborating on long-term platform development across Android, Windows, Linux, and macOS.

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.

Design, build, deploy, and operate scalable backend services for a courier logistics platform. Responsibilities include distributed-system architecture, event-driven workflows, data modeling, cloud-native deployment, observability, reliability engineering, incident response, performance optimization, and automated testing. The role also involves cross-functional collaboration, mentoring, and applying AI-assisted development workflows while maintaining secure and reproducible engineering practices.

Build and operate production-grade AI agents that automate workflows across internal teams. Design agent architectures with LangGraph and Amazon Bedrock AgentCore, integrate internal systems and third-party tools, and develop evaluation, observability, and guardrail frameworks. Partner with nontechnical teams to identify workflows, own solutions from prototype through production, measure impact, and drive adoption through documentation and training.

Automate software testing, deployment, and validation for scalable cloud-native platform services. Responsibilities include developing unit, integration, and end-to-end test frameworks; troubleshooting deployment issues; creating test plans; validating rollback strategies; collaborating on integration testing; and scripting platform-service deployments across diverse environments and architectures.