Top AWS Jobs in Ottawa

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

As a Staff Software Engineer AI-Native, you will build and evolve AI-native engineering workflows, design high-quality APIs, and collaborate with international teams to deliver reliable services while mentoring others.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Build and deploy production AI/ML features for cybersecurity: design autonomous agent architectures and multi-agent workflows, select and optimize LLMs/SLMs, manage end-to-end ML pipelines, optimize inference and MLOps infrastructure, apply deep learning, time-series and GNN techniques for threat detection, and create automated benchmarking tied to business KPIs.

Lead backend development for a cloud-native AI security SaaS: design and deploy scalable microservices and event-driven systems, own features end-to-end, validate AI-generated code for security, implement IaC and CI/CD, mentor engineers, troubleshoot distributed system issues, and collaborate with product, UX, and SRE teams.

Lead design and implementation of Python-based backend services and APIs on AWS for a clinical research platform. Architect PostgreSQL schemas and performance tuning, build Kubernetes (EKS) infrastructure, manage cloud integrations, define coding and security standards, mentor engineers, and drive delivery through agile practices from design to production.

Build integrations and services that connect data centers to wholesale electricity markets. Develop optimization, forecasting, and control algorithms; ingest and validate real-time market/grid data; translate market rules into operational software; and own services through deployment and long-term operation.

Own platform reliability, security, and delivery: define SLIs/SLOs, operate observability and on-call, lead incident response, automate remediation and CI/CD, manage IaC and AWS infrastructure, ensure database durability and compliance (SOC 2, FERPA), and build developer-facing automation to scale operations.

Design and deliver practical contact center architectures using Zendesk, Amazon Connect, and AWS. Lead pre-sales discovery, build PoCs, demonstrate integrations, create technical documentation, and advise on configuration, security, and operational best practices to support the sales cycle.

Design, build, test, deploy, and support scalable full-stack applications. Develop RESTful APIs, work with relational databases, implement automated tests, use Git, collaborate with UX/product/architecture teams, and maintain technical documentation within Agile teams.

Build, maintain, and operate Mission Control web app and supporting microservices for satellite operations. Implement HTTP APIs, design and deploy infrastructure, automate workflows, ensure CI/CD and testing, collaborate with cross-functional teams to support spacecraft scheduling, telemetry, and operational needs.

Lead and mentor development teams, liaise with clients to translate requirements, own technical delivery and architecture, ensure best practices in DevOps, CI/CD, testing, observability, and cloud operations, and resolve blockers to deliver secure, scalable applications.

The Senior Site Reliability Engineer will lead reliability initiatives, design AI pipeline reliability patterns, architect for resilience, and mentor junior engineers while ensuring SLOs and operational excellence for an AI-first platform.

Design, operate, and automate AWS infrastructure using CloudFormation and serverless/container services. Build CI/CD pipelines, instrument observability, diagnose performance across Rails apps and data systems, manage databases and cost optimization, and support security/SOC‑2 compliance while partnering with developers and data engineers.

Architect and maintain scalable, secure systems; champion best practices (OO, DDD, microservices); drive code quality, secure SDLC, and data-driven solutions; mentor teams; leverage AI to improve developer workflows; work with analytics and data warehouse tooling.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.

Lead development of cross-platform mobile applications using React Native, integrating APIs and hardware. Collaborate with teams and optimize performance across platforms.

The role involves designing and implementing cloud solutions, ensuring security compliance, collaborating with stakeholders, and enhancing cloud capabilities at BMO.

As a Sr. Software Engineer at VGS, you'll develop and maintain the Credential Management Platform and enhance the Event Pipeline, collaborating across teams to build high-throughput services.

Design and maintain real-time vehicle-tracking, map-matching, ETA prediction, and disruption-detection systems. Build and scale real-time data pipelines, cloud backend services, and APIs. Develop infrastructure for algorithm validation and shadow testing, collaborate across product and design to prototype and deliver end-to-end features, and apply modern engineering practices through code reviews, pairing, and documentation to ensure reliable production systems.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Technical Customer Success Manager ensures the success of strategic customers by managing relationships, driving retention, and shaping customer success strategies. Responsibilities include onboarding, risk mitigation, and championing customer needs while leveraging technical expertise in DevOps and cloud infrastructure.

As a Fullstack Engineer Intern, you will work on real production projects involving scalable systems, machine learning models, and product features, while collaborating with experienced engineers in a fast-paced environment.