Top AWS Jobs in Ottawa

Teach a three-credit, in-person course on welding design, fabrication, and quality control. Responsibilities include covering welding processes, joint design, weldability, quality assurance, inspection, nondestructive testing, and applicable AWS, ASME, CSA, and ISO standards. The successful candidate must hold a PhD in Mechanical Engineering, maintain active research relevant to the subject, and be licensed or eligible for licensure with a Canadian engineering regulator.

Leads enterprise-scale cloud modernization and transformation initiatives, defining hybrid and multi-cloud architectures, migration roadmaps, operating models, governance, and FinOps strategies. Advises executive stakeholders, bridges strategy and delivery, governs architectural decisions, supports business cases and measurable outcomes, and mentors architects and consultants. Requires strong expertise in AWS, Azure, GCP, enterprise architecture, cloud-native technologies, and complex transformation programs.

Designs, implements, and manages secure AWS and Azure cloud infrastructure. Integrates security into CI/CD pipelines, automates configuration management, monitors vulnerabilities, conducts security audits, supports incident response, and ensures compliance requirements. Collaborates with development and cross-functional teams to deliver secure cloud solutions. Requires extensive DevOps experience, cloud certifications, infrastructure-as-code expertise, scripting skills, containerization knowledge, and the ability to obtain Public Trust clearance.

Lead delivery and growth of Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer engagements, and cross-organizational engineering priorities. Build and develop a senior engineering team, maintain operational health and on-call practices, support enterprise security and procurement processes, and scale the product for increased demand. The role requires Kubernetes and AWS fluency, customer-facing leadership, strong prioritization, and experience operating software in private cloud, on-premises, or similar environments.

Lead ownership, harden, and operate an AWS-native backend/platform: build APIs, event pipelines, data services, compliance features (audit logging, encryption, data lifecycle), deployment automation, testing/acceptance tooling, and shape architecture and engineering hiring.

Lead client-facing integrations and implementations for an AI-native, compliance-focused travel platform. Design, build, and operate backend services, event pipelines, and data services on AWS. Ensure auditability, encryption/key management, consent and data lifecycle handling, and translate client feedback into product improvements while shaping architecture and early hiring.

Perform comprehensive manual penetration tests across web, API, mobile, internal/external networks, Active Directory, and cloud environments. Validate vulnerabilities, produce technical and executive reports, and work with clients on remediation and retesting.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Design, develop, test, deploy, and maintain scalable full-stack enterprise applications across front-end, back-end, Azure, and AWS platforms. Collaborate in Agile teams, build APIs and integrations, troubleshoot and optimize solutions, participate in code reviews, and apply CI/CD, TDD, and BDD practices. Mentor junior developers, improve engineering standards, document solutions, and provide effective customer support.

Designs and maintains cybersecurity controls across IT, cloud, network, and industrial environments. Responsibilities include security monitoring, incident response, SIEM/EDR management, vulnerability management, firewall and segmentation configuration, Zero Trust implementation, ISO 27001 audits, risk assessments, vendor security, awareness initiatives, reporting, and continuous improvement. The role collaborates with technical and business teams, supports security tool deployment, and provides emergency assistance outside regular business hours.

Administer and support network infrastructure, including LAN, WAN, VLAN, VPN, firewalls, and hybrid cloud connectivity. Support Windows Server, Active Directory, virtualization, Microsoft 365, Azure, SQL Server, backups, and disaster recovery. Troubleshoot infrastructure issues, maintain documentation, provide escalation support, and collaborate on technology upgrades and rollouts. The role is remote-capable for nonlocal applicants and may require occasional travel to offices in Canada, the United States, or Mexico.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Lead and develop a software engineering team building institutional investment transfer platforms. Responsibilities include hiring, coaching, technical direction, roadmap planning, reliability and scalability improvements, operational automation, cross-functional delivery, engineering best practices, incident response, and AI-assisted development. The role partners with Product, Design, Operations, CX, Infrastructure, Security, and SRE teams in a complex financial technology environment.

Lead end-to-end product design for Humanetics digital products using AI-native, agentic workflows. Create interactive prototypes in working code, conduct customer validation, develop accessible interfaces and design systems, and translate validated concepts into production-ready designs. Partner with product managers and engineers, evaluate and implement emerging AI tools, improve design lifecycle efficiency, present work, and mentor designers adopting new workflows.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, develop, test, maintain, and document secure .NET web and database applications. Build responsive front-end experiences, integrate APIs and data feeds, support Azure and AWS cloud applications, and apply OWASP-aligned security practices. Translate stakeholder requirements into technical solutions, participate in Agile development, code reviews, vulnerability remediation, troubleshooting, testing, and documentation. Collaborate with technical, security, database, cloud, and business teams while supporting GIS integrations and continuous improvement.

Designs, implements, and sustains AWS cloud platforms, Kubernetes environments, HashiCorp automation, CI/CD pipelines, observability, and secure deployment practices. Translates stakeholder requirements into maintainable platform capabilities, troubleshoots complex infrastructure and application issues, supports Agile planning and production transitions, and develops reusable automation, documentation, testing evidence, and operational runbooks for government digital services.

Develop and optimize data systems, relational databases, data models, warehouses, and ETL/ELT pipelines. Build Python and SQL-based data engineering workflows across AWS and Azure, implement CI/CD, serverless functions, data quality checks, monitoring, and performance tuning. Responsibilities include advanced SQL development, stored procedures, views, database administration, schema design, query optimization, and supporting scalable data processing infrastructure.

Administer, maintain, monitor, and optimize Microsoft SQL Server and/or Oracle databases in a federal enterprise environment. Responsibilities include installation, patching, backup and recovery, performance monitoring, access management, security auditing, SQL development, data migration, incident response through ServiceNow, documentation, disaster recovery testing, and on-call support during AWS cloud modernization.

Analyze, forecast, and optimize AWS cloud spending. Build cost visibility dashboards, implement tagging and allocation policies, perform budgeting and variance analysis, recommend AWS pricing strategies, support cloud governance and audits, and collaborate with engineering and product teams on cost-efficient architectures. The role also applies statistical modeling, infrastructure-as-code, automation, and FinOps best practices.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Provides expert-level support within a 24x7 security operations center, leading complex customer escalations and high-impact investigations. Builds automated case playbooks, training materials, and knowledge content; troubleshoots security tooling and services; performs root-cause analysis; and partners cross-functionally on improvements. Audits support quality, coaches analysts, and applies expertise in endpoint, SIEM, cloud, identity, network, phishing, threat detection, AI, and incident response practices.

Lead end-to-end data science and machine learning projects, from scoping ambiguous client problems through production deployment. Build and evaluate statistical and ML models, analyze large datasets, run experiments, collaborate with engineers, create reusable tooling, communicate findings to diverse stakeholders, and mentor data scientists. The role combines hands-on data science with technical consulting and requires occasional customer on-call support.

Build and own full-stack, cloud-native services and web frontends on AWS for radiology workflow solutions. Responsibilities include architecture, microservices development, automated testing, CI/CD, observability, security, healthcare standards compliance, production support, and mentoring developers. The role partners with Product, UX, and Clinical teams to deliver reliable software in a regulated healthcare environment.