Top AWS Jobs in Ottawa

Own product engineering work end to end, from understanding customer problems and shaping solutions through implementation, shipping, and iteration. Build and maintain Ruby on Rails, Vue.js, GraphQL, and MySQL systems; develop APIs, improve database performance, prototype architectures, and participate in on-call support. Use and improve coding-agent workflows, contribute to an internal software factory, collaborate with product and design, mentor teammates, and promote engineering best practices.

Own quality evaluation for LLM-driven and agentic products by building regression suites, golden datasets, scoring rubrics, and test harnesses. Detect hallucinations, tool-calling failures, prompt regressions, and unsafe behavior. Define reliability metrics, integrate evaluations into CI/CD, improve observability and tracing, contribute to API and end-to-end automation, and coach QA engineers on AI testing practices.

Leads HackerOne’s partnership sales strategy, revenue performance, and team of seven Channel Account Managers. Builds and scales reseller, technology alliance, and cloud marketplace partnerships, including AWS. Establishes operating models, metrics, forecasting, enablement, and accountability while developing executive partner relationships. Collaborates with Sales, Marketing, Revenue Operations, Legal, Customer Success, and Product to drive partner-sourced and partner-influenced pipeline, revenue, and durable growth.

Leads the strategy, roadmap, architecture, reliability, and operations of a cloud-based security data platform. Oversees data pipelines, APIs, identity, tenant management, developer tooling, CI/CD, governance, security, and scalability. Partners with Product and SRE, drives operational excellence and AI adoption, and builds a high-performing organization through hiring, mentorship, and technical leadership.

Owner of a portfolio of large regulated Partner accounts, responsible for revenue expansion, account strategy, and technical growth interventions. Combine account leadership, hands-on engineering (SQL, Python/Node, JS/TS, Vue/React), experimentation (A/B testing), and cross-functional collaboration to diagnose performance, build and ship fixes, and codify repeatable growth playbooks.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

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.

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 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 mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Build and own Snout’s data foundation, including PostgreSQL and dbt warehouses, ingestion pipelines, dimensional models, data quality, documentation, and reliable rebuilds. Reconcile data from veterinary practice-management systems, support LLM/AI tooling, translate stakeholder needs into technical plans, and establish the foundation for a future data team and analyst.

Own Ada’s partner co-sell motion by sourcing and accelerating partner-influenced deals, building joint go-to-market plans, expanding AWS and Microsoft marketplace revenue, and increasing partner-sourced pipeline. The role collaborates with account executives, partners, Deal Desk, and Sales Operations; maintains Salesforce deal data; enables sellers and partners; and identifies new ecosystem investment opportunities.

Leads architecture, scalability, performance, and technical direction for Salesforce and Node.js enterprise applications. Manages 10–15 engineers, mentors technical staff, hires and develops talent, and partners with product and engineering leadership. Oversees engineering quality, reliability, security, deployment processes, developer experience, and integrations with external systems. Requires extensive Salesforce architecture expertise, Node.js experience, and a strong background in software engineering leadership.

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.

Design and lead enterprise data platforms, including scalable lakes, warehouses, batch and real-time pipelines, governance, quality, monitoring, and modernization. Build data infrastructure for production AI/ML systems, including embeddings, vector stores, RAG preparation, feature stores, and training and inference flows. Partner with leadership and cross-functional teams on data strategy, establish engineering standards, make architectural decisions, and mentor engineers.

Designs end-to-end technical solutions for nesto’s mortgage cloud platform. Translates business requirements into architecture specifications, diagrams, data models, and integration plans; selects cloud services, frameworks, databases, and integration patterns; manages technical risks; ensures enterprise architecture compliance; and collaborates with engineering, product, QA, and external partners. Promotes microservices, Domain-Driven Design, and Event-Driven Architecture while mentoring engineering teams and communicating complex designs to technical and non-technical stakeholders.

Design end-to-end solution blueprints for mortgage cloud products, platform enhancements, and integrations. Translate business requirements into technical specifications, diagrams, and data models; select cloud services, tools, databases, and integration patterns; manage technical risks; and ensure compliance with enterprise architecture standards. Collaborate with engineering, product, QA, vendors, and stakeholders while advocating microservices, domain-driven design, and event-driven architecture.

Designs and implements security solutions across application, infrastructure, enterprise, and observability domains. Responsibilities include threat modeling, integrating security into development workflows, automating detection and response using AI, incident response, regulatory support, mentoring, and shaping security priorities. The role requires collaboration with engineering, product, compliance, and vendors in a regulated fintech environment.

Design, automate, and maintain scalable, secure cloud infrastructure and CI/CD pipelines. Monitor system reliability and performance, respond to incidents, conduct postmortems, enforce SLAs, plan capacity, optimize costs, and implement security and compliance practices. Collaborate with Engineering, Product, and Design teams to resolve scalability and development lifecycle challenges while driving continuous operational improvement.

Leads enterprise DevOps and cloud infrastructure strategy, building CI/CD pipelines, Infrastructure as Code, automation, observability, and secure software delivery platforms. Partners with engineering, quality, and product teams across development through production environments. Supports disaster recovery, security-by-design, reliability testing, troubleshooting, and operational improvements. Mentors engineers and drives DevSecOps, SRE, and platform engineering maturity across a global organization.

Build full-stack Real User Monitoring features across frontend applications, backend services, APIs, and analytical storage systems. Design high-throughput telemetry ingestion, data models, query layers, and dashboards for real-time exploration of sessions, traces, and events. Optimize performance and cost at scale, collaborate with SDK and cross-functional teams, own projects through deployment and monitoring, and contribute to the RUM roadmap.

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.

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.

Leads enterprise sales growth for Amperity’s data and AI platform. Responsibilities include prospecting, pipeline and revenue management, account planning, consultative technical selling, executive engagement, forecasting, renewals, partner development, contract support, and cross-functional collaboration. The role requires translating complex data-platform capabilities into business outcomes, developing AI-related opportunities, maintaining Salesforce records, and achieving new business and commercial renewal targets.

Leads enterprise sales growth for Amperity’s customer data and AI platform. Responsibilities include prospecting, managing named-account sales plans, forecasting pipeline, achieving new business and renewal targets, conducting technical and consultative selling, engaging executive stakeholders, supporting negotiations, and partnering with marketing, product, professional services, finance, legal, cloud providers, systems integrators, and technology partners. The role also contributes to go-to-market strategy, messaging, customer insights, and partner-influenced opportunities.