Top AWS Jobs in Vancouver

Leads and develops a software engineering team responsible for medical imaging solutions. Oversees technical execution, architecture, code quality, testing, delivery, regulatory compliance, production reliability, and incident response. Partners with Product Management, QA, Support, and R&D teams to deliver healthcare software capabilities. Coaches engineers, improves development practices, establishes AI-assisted development guardrails, and contributes to technical strategy and innovation.

Designs, builds, and evaluates language models for AI security products. Responsibilities include dataset curation, preprocessing, LLM experimentation, safety and robustness evaluation, dashboards, knowledge graphs, model fine-tuning, production integration, monitoring, CI/CD, and ML tooling. Collaborates with researchers and data scientists to automate quality assurance and guardrails while delivering reliable, scalable, and interpretable models.

Build turbopuffer’s partner program from scratch, including partner strategy, cloud-provider relationships, marketplace listings, integrations, co-selling motions, joint accounts, and revenue generation. Negotiate alliance deals, engage systems integrators, translate partner needs to engineering, and develop repeatable marketplace and sales processes. The role requires technical fluency, independent execution, strong writing, and experience building trust across organizations.

Leads platform engineering architecture for scalable, secure, highly available AWS solutions. Designs pipeline infrastructure and integrations across RPA processes, ERP and third-party applications, internal services, and downstream systems. Defines API, IAM governance, networking, infrastructure-as-code, CI/CD, DevSecOps, monitoring, observability, disaster recovery, and integration architectures. Provides technical leadership, stakeholder management, documentation, architecture reviews, mentoring, and engineering best practices in a remote Canadian environment.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

Designs and operates scalable security logging infrastructure, data lakes, ingestion pipelines, and multi-tier storage for enterprise-scale observability. Responsibilities include architecting ELK and OpenSearch environments, optimizing ingestion and queries, implementing infrastructure as code, developing APIs and integrations, managing retention and costs, capacity planning, and supporting disaster recovery. The role partners with security leadership on platform strategy and mentors engineers while enabling analytics and detection engineering across cloud environments.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

Build and operate Planet’s large-scale storage infrastructure, including object storage, metadata indexing, Elasticsearch search, event notification, and disaster recovery. Develop highly available backend services and APIs, monitor and tune production systems, respond to incidents, and improve performance. Advise engineers, lead technical projects, contribute to architectural roadmaps, participate in design reviews, and support engineering practices and documentation.

Design, build, deploy, and maintain scalable features for GoodTime’s hiring intelligence platform. Investigate customer-reported bugs, improve performance and stability, collaborate with Product and Design, contribute to the technical roadmap, demonstrate new functionality, and own projects from concept through release. The role emphasizes JavaScript/TypeScript, React, customer-centric architecture, test-driven development, and continuous learning.

Lead and grow the Infrastructure team responsible for cloud infrastructure, DevOps/DevEx, security, and compliance. Drive operational excellence, scalability, reliability, SOC 2 readiness, and cross-functional collaboration. Hire, mentor, and coach engineers, define multi-quarter roadmaps, provide technical vendor-assessment expertise, and influence engineering best practices to deliver mission-critical B2B software at scale.

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

Build scalable, high-performance front-end solutions for 3D interior-decor experiences using computer vision. Collaborate with product, design, stakeholders, and engineering teams to deliver customer-focused features. Own systems through development, deployment, operation, and continuous improvement while supporting partners and maintaining high quality. The role offers mentorship and growth in a remote-first environment.

Maintain and improve reliability, scalability, and automation for user-facing production systems. Build infrastructure tooling, operate Kubernetes-based services, write IaC, participate in on-call and incident response, and advance observability and runbooks to reduce toil and improve platform reliability.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Own security for cloud and ML infrastructure, including tenant isolation, GPU cluster security, model protection, vulnerability management, network segmentation, monitoring, access governance, and credential management. Lead infrastructure security projects and establish technical standards and guardrails in partnership with Security, DevOps, Engineering, IT, and ML teams. The role also supports incident response, CSPM, sandboxing, container isolation, and SOC 2 readiness.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Lead the technical vision and scaling of Jane’s AWS infrastructure. Design highly available, multi-region systems, operate databases at scale, improve platform reliability, reduce alert noise, strengthen security and compliance, and guide other engineering teams on cloud architecture. Drive ambiguous, cross-team infrastructure initiatives, build consensus, participate in on-call rotations, and help the team use AI tools responsibly.

Build highly available, scalable distributed systems and real-time data services supporting Internet-wide scanning, DNS resolution, certificate ingestion, security research, and customer applications. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, frameworks, and cloud or on-premises services; productionizing prototypes; and collaborating with engineering, product, machine learning, and security teams. The role emphasizes maintainable, testable code, reliability, monitoring, and long-term platform development.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, DNS resolution, certificate ingestion, data pipelines, messaging, databases, caching, and APIs. Productionize prototypes, develop reusable tooling and platform capabilities, maintain cloud and on-premise systems, and collaborate with engineering, product, machine learning, and security teams.

Own go-to-market for Upbound’s AI inference portfolio, including positioning, messaging, competitive strategy, launches, enterprise buyer research, sales enablement, pricing input, and open-source-to-commercial narratives. The role requires customer-facing thought leadership through analyst briefings, executive preparation, public speaking, podcasts, and community engagement. Success requires deep B2B infrastructure product marketing experience, technical fluency, open-core experience, and the ability to launch emerging products rapidly.

Lead pre-sales technical strategy for strategic mid-enterprise accounts. Conduct discovery, shape requirements, run competitive proofs of concept, develop integrations, deliver demos and architecture reviews, and communicate business value to senior stakeholders. Advise customers on AI governance, container security, DevSecOps, software supply chain integrity, and secure development workflows. Build technical champion relationships, support competitive sales strategies, advocate for customer needs internally, and partner with sales, product, engineering, post-sales, and support teams.

Build and maintain client-facing software within a monolith and microservices architecture. Responsibilities include scaling systems, meeting regional regulatory requirements, launching validated features, developing high-performance REST APIs, tuning database queries, supporting automated testing and continuous releases, participating in on-call support, mentoring junior developers, and collaborating directly with clients when needed.

Leads and mentors a software engineering team while remaining hands-on with Java and full-stack development. Guides architecture, code reviews, technical decisions, sprint planning, delivery, and stakeholder collaboration. Champions engineering practices including automated testing, CI/CD, monitoring, microservices, and continuous releases. Builds scalable production systems, reliable REST APIs, and high-performance database solutions using ReactJS, Java, PostgreSQL, Docker, AWS, and related cloud technologies.