Top AWS Jobs in Calgary

Hunt and close net-new enterprise accounts across Alberta, building executive relationships and value-based business cases. Drive pipeline via prospecting, partners, and events; lead complex sales cycles with Sales Engineers and Customer Success to deliver observability, security, cloud modernization, and AI-driven outcomes.

The Site Reliability Engineer will manage cloud infrastructure, automate tasks, collaborate in agile teams, and ensure service reliability and quality.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Lead delivery of ML feature platform initiatives: design, build, and operate backend systems for feature creation, storage, backfilling and serving. Collaborate with product, design, and analytics, own quarterly goals, improve platform reliability and code quality, mentor engineers, and support on-call and operational monitoring.

Lead and deliver your team's quarterly goals, guide engineers through ambiguous problems, and collaborate with product, design, and analytics. Identify and resolve technical, process, and operational issues, support availability and on-call, enforce code and design quality, and mentor team members to grow talent and maintain high engineering standards.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Lead high-impact reliability projects to improve resiliency, scalability, and deployment safety for thousands of services. Build secure configuration and secrets systems, improve canary-based release systems, partner with critical teams to reduce operational toil, drive observability and reliability best practices, participate in on-call rotations, and communicate architecture decisions to stakeholders.

Lead development and operation of cloud-native CI/CD pipelines, automate build/release workflows, onboard and integrate services, maintain availability and observability, collaborate across teams, support production environments and participate in on-call rotations.

Lead design and operation of Block's real-time, event-driven data systems. Build and run high-throughput streaming pipelines, turn Kafka event streams into low-latency data products, improve reliability and observability, mentor engineers, and define platform architecture and standards for projections, third-party data proxy, and graph data capabilities.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Own and deliver high-availability, low-latency Trust & Safety systems across backend, web, and mobile. Lead engineering delivery, collaborate with product/design/analytics, improve operational metrics and on-call reliability, set code and design standards, and mentor teammates.

As a Senior Software Engineer, you will lead and support backend system projects focusing on security within Kubernetes and cloud infrastructure.

You will lead engineers to meet quarterly goals, support product development, solve complex issues, and foster talent development in your team.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Own and improve the AI Social generative media pipeline: build and ship LLM-driven prompts/agent loops, choose and compose media (image, video, voice, music), collaborate with product/design/content, and deliver polished, production-quality social assets.

Lead technical strategy and deliver backend systems for search and recommendation at scale. Collaborate with PM, design, and analytics to define and execute business-impacting projects. Own operations, availability, monitoring, and on-call practices while mentoring engineers and setting code and design standards.

Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.

Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, settlement orchestration, and treasury automation. Ensure data contract integrity for downstream finance, run production systems to SLOs, debug multi-layer issues, lead and mentor engineers, and use AI tooling to reduce operational toil.

Lead the Pipeline team to own strategy, execution, and operations for MongoDB’s end-to-end software delivery platform. Drive reliability, scalability, security, CI/CD and release systems, developer experience, telemetry, and organizational growth while partnering cross-functionally and serving as a senior escalation point.