Top AWS Jobs in Toronto

Build and operate production-grade software, distributed systems, and infrastructure across public cloud, on-premises, and hybrid environments. Shape platform architecture, prototype emerging technologies, support early customers, and establish engineering standards in a 0-to-1 AI startup. The role requires strong Rust or C++ skills, cloud-native expertise, systems fundamentals, and ownership from concept through launch.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Provide hands-on technical leadership to design, develop, modernize and maintain cloud-native wire payment services. Lead AWS serverless implementations (Node.js/Java), set resiliency and security standards, guide internal and vendor developers, run design/code reviews, drive testing (unit, integration, performance, chaos), diagnose production incidents, and ensure production-readiness and remediation across environments.

Leads the long-term technical health of Carta’s Investors business unit by solving ambiguous, complex problems; driving architectural improvements for scalability and reliability; aligning teams on technical decisions; defining safe AI engineering practices; and mentoring senior engineers. The role focuses on distributed systems supporting fund financials, tax and compliance, LP management, and reporting.

Leads technically complex software projects from concept through production, improving system performance, reliability, and simplicity. Mentors engineers through code reviews and architectural guidance, collaborates with product and design, and applies modern AI-assisted engineering tools. The role supports Carta’s Investors platform, including fund financials, tax and compliance, LP management, reporting, ledgers, reconciliations, and capital calls.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Designs, builds, and maintains scalable data platforms, architectures, and pipelines using Microsoft Fabric, Databricks, and Snowflake. Responsibilities include data modeling, ETL/ELT, workflow optimization, security and compliance, data quality improvements, and collaboration with analysts, scientists, engineers, and business stakeholders.

Build and maintain scalable platform infrastructure across Kubernetes, AWS, and Azure using infrastructure-as-code. Architect resilient distributed systems, improve performance and cost efficiency, establish observability and SLOs, and design secure-by-default solutions. Lead cross-functional technical initiatives, mentor engineers, participate in incident response and on-call rotation, and drive preventative improvements through root-cause analysis.

Develop and productionize NLP and AI solutions for multilingual communications data, including LLM and transformer-based models. Design databases, data models, administration standards, and evaluation systems supporting NLP pipelines. Deploy and monitor models and data systems on cloud platforms, improve infrastructure, document technical findings, advise product and engineering teams, explain model behavior to clients, and mentor engineers.

Develop and support scalable Java and React applications for OTC derivatives technology. Design microservices using Spring Boot, cloud, containerization, and distributed systems practices. Lead the full software development lifecycle, including analysis, design, testing, deployment, production support, risk assessment, and security improvements. Partner with business users and technology teams, advise stakeholders, coach junior analysts, and serve as a subject matter expert while working independently in a fast-paced environment.

Conduct computational oncology research using AI/ML, bioinformatics, and multimodal biomedical data. Develop foundation models, biomarker discovery methods, therapeutic response models, privacy-preserving workflows, federated analyses, and scalable genomic pipelines. Collaborate with computational biologists, clinicians, software developers, wet-lab scientists, and industry partners. Contribute to data governance, ethics, regulatory documentation, publications, and translational cancer research.

Lead software engineer responsible for designing and developing robust, automated technology solutions for margin and collateral platforms. The role involves building RESTful APIs, event-driven microservices, and user interfaces; collaborating with product teams and users; applying TDD and clean-code practices; and solving complex engineering problems in a global financial technology environment. Cloud, distributed systems, and financial services experience are beneficial.

Build enterprise-scale workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and operational reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, architecture discussions, and client-facing collaboration.

Leads business development and strategic growth across Canada's financial services sector. Responsibilities include acquiring new logos, expanding existing accounts, selling technology consulting and managed services, managing enterprise sales cycles, leading RFPs and contract negotiations, forecasting revenue, engaging C-level stakeholders, and developing partnerships across banking, capital markets, wealth management, payments, insurance, AI, data, cloud, cybersecurity, and digital transformation.

Develop and maintain scalable Java applications and REST APIs using Spring Boot. Write clean, efficient code, automate tasks, test using TDD, troubleshoot systems, monitor performance, and collaborate with internal teams and vendors. Review code, validate software, apply current technologies, and contribute to product improvements. The role may also involve cloud platforms, containers, CI/CD, security protocols, UI frameworks, on-call support, and mentoring.

Design and lead enterprise AI systems using generative AI, RAG, knowledge graphs, and autonomous agents. Define technical strategy, evaluate emerging AI technologies, and guide architecture and roadmaps. Mentor engineers, champion MLOps and LLMOps governance, and ensure security, testing, monitoring, and observability. Collaborate with research, engineering, design, and product teams to deliver scalable customer-facing solutions while optimizing latency, cost, and user experience.

Leads client-facing AI presales engagements, discovery workshops, strategic advisory discussions, solution architecture, roadmaps, governance, estimates, proposals, and Statements of Work. Evaluates Microsoft and adjacent AI platforms, aligns solutions with business outcomes, supports pricing and opportunity progression, and transitions pursuits to delivery. Also develops reusable methodologies, service offerings, thought leadership, and enablement materials while advising leaders on AI transformation, automation, agents, knowledge management, and operating models.

Lead enterprise Data, AI, and Generative AI architecture from concept through production. Design scalable, secure cloud-native platforms, AI/ML deployment and governance capabilities, and reusable architecture patterns. Partner with engineering, data, security, product, and business teams to guide complex initiatives, assess technologies, manage risks, and establish standards. Mentor architects and technical leaders while influencing strategic technology decisions across teams.

Provides senior-level L2/L3 technical support and escalation management for distributed platforms, APIs, cloud systems, databases, integrations, and media workflows. Troubleshoots complex incidents through log analysis, automation, scripting, monitoring, and root-cause analysis. Builds support tooling with JavaScript, Bash, SQL, and AI-assisted technologies; mentors support teams; maintains technical documentation; and partners with Engineering, DevOps, and Product. Supports broadcast, advertising, video, and audio delivery specifications and participates in incident and continuous improvement initiatives.

Designs and leads enterprise AI systems for legal research, including RAG pipelines, knowledge graphs, autonomous agents, and AI platforms. Provides technical strategy, architecture, mentoring, governance, testing, observability, and operational leadership. Partners with research, engineering, design, and product teams to launch scalable, secure AI products. Requires hands-on software engineering expertise in generative AI, cloud-native systems, APIs, distributed systems, and production AI deployments.

Lead observability engineering for the Auth0 Platform by building and maintaining metrics, logs, traces, alerting, and instrumentation infrastructure. Provision cloud-native services with Terraform, troubleshoot performance and operational issues, support incident response, improve platform availability, and establish observability standards across engineering teams. Mentor engineers and lead cross-functional initiatives involving Datadog, OpenTelemetry, containerized services, and scalable production systems.

Investigate and respond to security incidents, conduct root cause analysis, and coordinate remediation. Lead vulnerability management across endpoints, servers, cloud, and networks; support threat hunting, security awareness, phishing simulations, policy enforcement, third-party cyber risk monitoring, metrics reporting, and security process automation. Collaborate with infrastructure, cloud, networking, and application teams while applying frameworks such as NIST CSF, ISO 27001, and MITRE ATT&CK.

Own the architecture of scalable, secure, multi-tenant SaaS platforms for government agencies. Define technology standards, select cloud and development technologies, lead complex architectural decisions, guide engineering teams, and ensure security, compliance, performance, reliability, and scalability. Collaborate with product and engineering leaders on requirements, integrations, and roadmaps while mentoring teams on SaaS development, deployment, and best practices.

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.

Designs and leads end-to-end AI and data science solutions, with a focus on NLP, machine learning, LLM integration, and actionable insights from unstructured data. The role includes deploying software in AWS, collaborating cross-functionally, serving as a technical lead, mentoring junior staff, and enforcing data science best practices across development, experimentation, testing, and peer review.