Top AWS Jobs in Ottawa

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, automate GRC workflows with Python and agentic coding tools, maintain integrations across ticketing and risk platforms, and develop dashboards and reporting. Partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy to support risk-informed decisions and mature security governance processes.

Lead end-to-end software engineering initiatives to design, develop, and deploy scalable AI-powered enterprise solutions. Provide architectural direction, evaluate emerging technologies, use approved AI tools, collaborate with product, architecture, and data science teams, conduct code reviews, and mentor engineers. The role focuses on intelligent healthcare software platforms, responsible AI adoption, and continuous engineering improvement.

Lead Forward Financing’s application and product security program, including pentesting, code review, vulnerability remediation, AI security testing, secure SDLC practices, and external exposure controls. Manage and develop senior security engineers, establish testing standards and remediation SLAs, build security services, and partner with engineering and executives to prioritize risk across web applications, APIs, cloud infrastructure, and AI-built software.

Leads Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Owns fault-injection and experimentation systems, safeguards, observability, rollback mechanisms, monitoring, and incident response practices. Partners cross-functionally to identify systemic weaknesses, improve reliability, and embed resilience validation into engineering workflows. Requires leadership experience in reliability, infrastructure, or distributed systems and hands-on expertise with production testing, chaos engineering, cloud-native environments, and distributed-system failure modes.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.

Own and evolve Babylist's AWS infrastructure, Terraform IaC, Kubernetes/EKS clusters, CI/CD, and observability for a platform serving millions. Lead incident response, improve developer tooling, and set reliability standards across engineering teams.

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

Lead FP&A and strategic finance for R&D and Supply Chain Operations; own forecasting, controllership, and cost drivers (COGS, hardware, comp, AI infra); build scalable processes and AI-enabled reporting; partner with senior technical leaders and manage a high-performing finance team.

Build and maintain backend systems for money movement and card ledger features. Design, develop, and launch scalable APIs and services (Python or Kotlin) using AWS, MySQL, and Kubernetes. Collaborate with product, design, data science, and cross-functional teams, support operations and on-call, create and monitor metrics, participate in code reviews and hiring, and deliver well-tested, extensible solutions.

Design, build, and scale Snowflake ingestion pipelines and ML/LLM systems. Create agentic tooling to generate, test, and maintain pipelines. Collaborate with analysts, data scientists, and product teams to deliver reliable, high-performance data infrastructure and operationalize models for an AI-first e-commerce platform.

Manage security operations, incident response, detection engineering, vulnerability and patch oversight, SaaS and endpoint security, cybersecurity risk assessments, and AI security strategy. Lead and develop security engineers, serve as senior Incident Commander, tune CrowdStrike detections, build coverage across endpoint, SaaS, identity, cloud, and proxy signals, and communicate security risks to technical and executive stakeholders.

Build and ship production-grade agentic AI workflows across Acquia’s digital experience platform. Design stateful multi-agent systems using LangGraph, Temporal, and Pydantic; own LangFuse observability, evaluation, and benchmarking; establish standards for RAG, prompting, context optimization, and tool calling; partner on secure, reliable enterprise architectures; evaluate AI tooling; mentor engineers; and support customer architecture and roadmap discussions.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Lead and deliver your team's quarterly goals, guide engineers through ambiguous problems, and collaborate with product, design, and analytics. Identify and resolve technical, process, and operational issues, support availability and on-call, enforce code and design quality, and mentor team members to grow talent and maintain high engineering standards.

Lead delivery of ML feature platform initiatives: design, build, and operate backend systems for feature creation, storage, backfilling and serving. Collaborate with product, design, and analytics, own quarterly goals, improve platform reliability and code quality, mentor engineers, and support on-call and operational monitoring.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.