Top AWS Jobs in Ottawa

Build and own AlphaSense’s AI-powered Microsoft Excel plugin for financial professionals. Design performant desktop integrations with Excel’s object model, calculation engine, and event system; connect local workflows to cloud AI through REST and WebSocket APIs; support enterprise deployment, authentication, offline scenarios, and multiple Excel versions. Optimize memory, performance, error recovery, and stability while establishing testing and deployment best practices and mentoring engineers.

Design, build, and scale an agentic voice AI framework for banking customers. Develop LLM guardrails, grounding, policy enforcement, evaluation, tool-calling, and runtime architecture. Optimize real-time voice latency, maintain production reliability, reduce configuration friction, and collaborate with distributed product and engineering teams. The role also requires strong technical judgment, proactive ownership, AI-assisted development, and leadership through direction-setting, unblocking, and mentorship.

Lead end-to-end AWS cloud migration, modernization, and integration projects. Manage plans, budgets, schedules, risks, governance, resources, and cross-functional teams while coordinating clients, architects, engineers, security specialists, and stakeholders. Facilitate executive communications, ensure security and regulatory compliance, support organizational change, track performance, and transition completed projects to operational support teams.

Build, maintain, and operate Mimica’s multi-region Kubernetes platform (GKE/EKS), infrastructure-as-code, GitOps pipelines, and observability. Support engineering teams, triage incidents, migrate IaC to Crossplane, drive FinOps, and design BYOC/single-tenant access patterns while automating work with Python tooling.

Build and maintain scalable full-stack software for an enterprise governance platform. Design system architecture, deliver production AI capabilities such as RAG, vector search, LLM integrations, and agents, and ensure application quality, security, and reliability. Collaborate with product, design, and engineering teams, improve development processes, evaluate emerging technologies, and mentor colleagues in modern engineering and AI-assisted development practices.

Lead the engineering organization for BlueCat’s Network Observability product line. Own technical strategy, architecture, roadmap, delivery, and operational excellence for data-intensive network monitoring platforms spanning SaaS and on-premise deployments. Build AI-driven observability capabilities, modernize legacy systems, establish engineering standards, and develop distributed teams. Partner with product, executive leadership, customers, sales, and support to achieve business goals and resolve strategic technical issues.

Design, build, and optimize multi-tenant reporting and backend data systems. Own reporting architecture, modernize legacy MSSQL and SSRS systems, develop scalable ETL and data synchronization pipelines, optimize MySQL performance, and create data-intensive REST APIs. Collaborate with Product and Frontend teams, maintain code quality through testing and reviews, and ensure data integrity across high-volume SaaS systems.

Owns GitLab’s enterprise pricing, packaging, monetization, and commercialization strategy. Develops pricing programs, enterprise agreements, bundling, channel and cloud marketplace structures, discounting frameworks, and competitive deal plays. Partners with Product, Sales, Finance, Marketing, Deal Desk, Revenue Operations, and partners to implement scalable commercial programs. Creates pricing enablement materials, makes data-backed recommendations, influences senior stakeholders, and documents decisions in an asynchronous, globally distributed environment.

Own the definition and launch of a greenfield iOS and Android consumer app. Develop product concepts, write specifications, coordinate engineering delivery, define success metrics, and use data, experimentation, and user feedback to guide decisions. Apply computer vision and AI capabilities to create polished, intuitive consumer experiences while collaborating closely with engineering and cross-functional teams.

Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.

Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.

Design and maintain scalable backend, full-stack, and AWS data infrastructure supporting millions of daily events and hundreds of integrations. Set technical direction for data pipelines, lead architecture and planning, troubleshoot production issues, collaborate across teams, manage work in Jira, research improvements, and mentor engineers. The role owns initiatives end to end while developing reliable, cost-efficient serverless systems using Node.js, TypeScript, React, and AWS services.

Plans and leads testing strategies for large enterprise systems across functional, integration, regression, acceptance, performance, stress, load, accessibility, security, and data validation testing. Develops test plans, cases, scripts, automation, and reports; manages defects; integrates tests into CI/CD pipelines; validates databases and system behavior; and collaborates with technical and business teams in Agile environments.

Embed with clinical, product, and operations teams to deliver production AI features end to end. Build agentic systems using RAG, tool calling, MCP, and orchestration; establish evaluations, validation standards, monitoring, and governance; deploy solutions on the shared AI platform; and create reusable templates and tools. Partner with stakeholders in regulated healthcare environments while improving organizational AI fluency.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Build and scale reliable backend systems and APIs for high-traffic, real-time sports betting applications. Responsibilities include writing production code, debugging and resolving software issues, developing automated tests, collaborating with cross-functional teams, and delivering scalable features using modern engineering practices.

Design and build scalable backend systems, APIs, and cloud-native services supporting millions of users. Collaborate with product and architecture teams, maintain comprehensive automated tests, optimize distributed-system performance, respond to production incidents, and own service reliability. Participate in technical reviews, make architectural decisions, mentor engineers, and contribute to continuous improvement in a fast-paced environment.

Lead the architecture, development, performance, release process, and roadmap for SimpleStudy’s consumer iOS app. Mentor existing mobile engineers, establish technical direction, deliver polished native experiences, run experimentation and analytics, manage App Store operations, and collaborate with engineering and product leadership. The role involves Swift, SwiftUI, UIKit, testing, performance optimization, crash monitoring, and potential mobile team expansion.

Build customer-embedded solutions for Origin’s AI observability platform. Investigate customer traces and operational data using SQL, ClickHouse, APIs, and MCP tools; develop dashboards, integrations, workflows, prototypes, and production code; lead technical discovery; and translate field insights into reusable product capabilities. The role requires close collaboration with enterprise engineers, security teams, AI platform teams, and executives, with travel of up to approximately 20%.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Architects cloud-scale solutions and technical strategies for strategic Canadian customers, aligning business objectives with secure, resilient, scalable platforms. Advises executives and technical stakeholders, leads cross-functional initiatives, develops prototypes and pilots, supports cloud and AI adoption, and addresses data residency, sovereignty, privacy, and security requirements. Builds trusted customer relationships, influences product improvements, presents technical thought leadership, contributes to communities, and mentors technical teams across Canada.

Owns partner and internal sales enablement across channel, hyperscaler, systems integrator, and technology ISV ecosystems. Designs training, certification, GTM content, co-sell plays, account-mapping frameworks, and partner portal programs. Enables field teams and partners around Docker’s AI Governance motion, tracks readiness and pipeline KPIs, and connects enablement investments to revenue outcomes.