Top AWS Jobs in Calgary

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Le directeur ou la directrice dirigera la stratégie, la feuille de route et l’équipe de gestion de produits axées sur la croissance des vendeurs et des marchands. La personne optimisera la distribution, la découverte, la conversion et les ventes sur des plateformes de marché et d’infonuagique, établira des partenariats stratégiques et mobilisera les équipes d’ingénierie, de ventes, de marketing, de finance et de réussite client. Le rôle exige une solide expérience commerciale, du leadership produit et une expertise des écosystèmes technologiques.

Design and implement cloud infrastructure and MLOps solutions for customers using GPU cloud technologies. Advise clients, conduct proofs of concept, workshops, presentations, and training; develop infrastructure-as-code architectures and documentation; optimize ML pipeline performance and scalability; support product and technical teams with customer expertise; and assist with technical marketing events.

Lead the architecture and implementation of complex cloud-based data solutions for clients. Define strategic data roadmaps, support pre-sales engagements as a data engineering subject matter expert, conduct technical interviews, mentor architects and engineers, and establish data standards and operating procedures. The role requires extensive AWS and complex data systems experience, expertise across traditional and modern data technologies, strong documentation practices, and excellent communication.

Own the realtime voice channel end to end, including telephony integrations, streaming speech pipelines, model orchestration, and latency optimization. Build full-stack features with React, TypeScript, Scala, Python, and GCP; design scalable multi-tenant systems; implement safety and compliance controls; maintain observability, incident response, and SLA performance; and mentor engineers through architecture and code reviews.

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.

Lead the migration of Vanta’s compliance data platform from MongoDB to schema-aware PostgreSQL while maintaining backward compatibility and data integrity. Design high-throughput Kafka and S3 pipelines, eventual-consistency safeguards, query APIs, tenant isolation, caching, and distributed storage systems. Set architectural direction, mentor engineers, drive cross-team technical roadmaps, and improve reliability, observability, and operational practices for auditable enterprise-scale infrastructure.

Manage and modernize a hybrid research and education infrastructure stack: deploy and operate OpenStack and public cloud resources, maintain hardware and IaC, implement Kubernetes and observability (Prometheus/Grafana/ClickHouse/Zabbix), build logging/telemetry pipelines (Vector/Fluentd/Kafka), provide Tier 3 support to members, and participate in a compensated on-call rotation.

Manage and modernize Alberta's hybrid research and education infrastructure: deploy and operate OpenStack and public cloud resources, maintain hardware and IaC, implement observability (metrics, logs, traces), build telemetry/log pipelines, use configuration management and Kubernetes, provide Tier 3 support to member organizations, and participate in an on-call rotation.

Hands-on IT Systems Administrator responsible for Microsoft 365 administration, identity and device management, IAM and tenant consolidation during acquisitions, endpoint security (EDR/MDM), help-desk and asset management, vendor evaluations, and building IT processes and documentation to scale operations.

Design, build, and deploy scalable AI/ML systems and pipelines. Develop reusable Python packages, RAG/LLM integrations, agentic workflows, evaluation/monitoring frameworks, optimized data queries, and MLOps practices while collaborating across cross-functional teams.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, data ingestion, APIs, security research, and machine learning initiatives. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, and cloud or on-premises services; productionizing prototypes; collaborating with engineering, product, machine learning, and security teams; and maintaining reliable, observable systems.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

Designs and develops enterprise cloud data solutions, including batch, near-real-time, and API-based pipelines. Builds data models, warehouses, lakes, and lakehouses while implementing governance, quality, lineage, and curation practices. Supports CI/CD, testing, monitoring, observability, security, and compliance. Collaborates with architects, product owners, analysts, and leadership on platform strategy and modernization. Mentors engineers, leads reviews, presents technical topics, and explores AI-enabled data capabilities.

Lead the architectural vision for cloud-based platform solutions, including scalable AWS infrastructure, integration flows, APIs, IAM governance, networking, observability, and CI/CD pipelines. Design secure, highly available platforms connecting RPA processes, enterprise applications, internal services, and downstream systems. Provide technical leadership, stakeholder management, architecture documentation, mentoring, and engineering best practices while supporting enterprise DevOps, platform engineering, and integration initiatives.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Train and operate production machine learning models on Amazon SageMaker using AWS Trainium. Optimize PyTorch code for Trainium compilation, memory, throughput, and distributed training; diagnose hardware, compiler, device, data, and code issues; build cost-aware end-to-end training pipelines; and collaborate directly with client and internal engineering teams to deliver production workloads.

Lead the architecture, development, and delivery of scalable backend systems, APIs, data pipelines, and services supporting global 3D and computer vision applications. Drive technical direction, system performance, resiliency, observability, and maintainability. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and team growth, and shape engineering culture and long-term technical vision.

Lead FedRAMP Moderate compliance program from gap assessment through remediation and continuous monitoring. Coordinate Engineering, DevSecOps, Security, and Compliance to implement NIST 800-53 controls, maintain SSPs and POA&Ms, work with 3PAOs and federal sponsors, and align cloud architecture and security controls across AWS/Azure/GCP. Drive documentation, vulnerability management, incident response, stakeholder reporting, and governance.

Act as Level 3 escalation in an MDR/SOC, leading complex incident investigations, threat hunting, detection tuning and remediation. Provide technical guidance to L1/L2 analysts, improve detection logic and security monitoring, support customer-facing optimisation, and document and report investigation findings to strengthen customer security posture.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Build scalable backend systems, develop LLM agents, and ensure fast adaptation in a dynamic environment at Sentra.