Top AWS Jobs in Calgary

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Design, build, and scale real-time and batch data infrastructure and pipelines (Kafka, Databricks, Snowflake) to power analytics, reporting, and AI-powered data experiences. Drive data modeling, governance, observability, and best practices while partnering with cross-functional teams and mentoring engineers.

The Senior Security Engineer will secure cloud infrastructure across various services, develop security policies, manage exceptions, and respond to security alerts while collaborating with teams to eliminate security risks.

Lead architecture and hands-on development for a zero-to-one, real-time content platform. Build scalable backend services, collaborative editing and synchronization systems, frontend visual editing experiences, APIs, publishing workflows, and developer extension layers. Partner with product and design, establish engineering standards, make build-versus-buy decisions, mentor engineers, and engage customers to validate architectural choices.

Administers, configures, and supports Jira, Confluence, GitHub, and other R&D tools. Builds projects, workflows, permissions, dashboards, reports, integrations, and documentation; evaluates and implements new Atlassian tools; supports R&D lab environments; partners with IT and Product teams; tests tool functionality; and develops user training and best practices.

Build and operate full-stack features across TypeScript, Node.js, React, and Rust services. Own development from design through production, including APIs, webhooks, integrations, testing, CI automation, code review, refactoring, troubleshooting, and on-call support. Improve agentic development workflows and quality practices, expand automated coverage, and collaborate with distributed product and engineering teams in an Agile/Scrum environment.

Owns BeyondTrust’s product vulnerability management program end to end, including FedRAMP 20x continuous monitoring, risk assessment, remediation, exception handling, metrics, evidence, and reporting. The role establishes processes for new products, automates triage and reporting, partners with Security Engineering on integrations, drives remediation across engineering teams, and leads response to actively exploited and zero-day vulnerabilities.

Own the roadmap and product strategy for DigiCert’s DNS and digital trust portfolio. Translate customer needs, market trends, telemetry, and technical capabilities into requirements, metrics, and secure cloud-native products. Partner with engineering, security, architecture, sales, marketing, and customers to deliver API-first infrastructure, validate concepts, launch products, and drive adoption. The role emphasizes trusted discovery, policy enforcement, reliability, security, experimentation, and emerging agentic use cases.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and AI readiness. Builds unified data infrastructure, semantic models, catalogs, asset registries, and governance standards while enabling secure internal and commercial data products. Partners with Product, Engineering, Commercial, Finance, and Legal, and leads the Data Platform Team. Owns data maturity roadmaps, warehouse cost management, AI infrastructure readiness, and executive-level data strategy.

Design, develop, and maintain secure, scalable backend systems, APIs, databases, integrations, and services. Provide technical direction, lead architecture discussions, coordinate complex initiatives, manage dependencies, review code, improve performance and observability, respond to production incidents, maintain tests and CI/CD workflows, and mentor engineers. Collaborate remotely with Product, Operations, and engineering teams to deliver reliable software.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Leads the architecture and hands-on evolution of Kinaxis Maestro’s cloud-native core platform. Designs distributed database, storage, query execution, and data-processing systems for massive scale, elasticity, performance, resilience, and cost efficiency. Guides architectural standards across Product R&D, prototypes and implements solutions, mentors senior engineers, and influences technical direction across teams. Requires deep expertise in distributed production systems, cloud platforms, concurrency, consistency, and high-performance backend development using Go, C++, or similar languages.

Owns the vision, strategy, roadmap, and outcomes for major Maestro platform capabilities. Leads customer discovery, platform architecture decisions, AI agent capabilities, data product integration, developer tooling, and enterprise adoption. Partners with engineering, data, cloud, and go-to-market teams to deliver scalable APIs, SDKs, services, and administration experiences. Requires 8+ years of product management experience, strong AI and modern data platform knowledge, technical fluency, and the ability to influence senior stakeholders.

Designs and operates scalable AWS infrastructure, builds containerized systems with Docker and Kubernetes, manages Terraform infrastructure as code, improves Jenkins and GitHub Actions CI/CD pipelines, and implements monitoring, logging, troubleshooting, and root cause analysis. The role partners with engineering teams to improve reliability, security, performance, and deployment workflows in complex SaaS environments.

Designs and leads scalable data architectures across cloud platforms, including data lakes, warehouses, analytics platforms, ETL/ELT pipelines, streaming ingestion, and data governance. Provides technical leadership, mentors engineers, optimizes performance and reliability, supports data migrations to Databricks Lakehouse, and advises clients on modernization and architecture decisions. Collaborates with stakeholders and analytics teams to deliver solutions for reporting, analytics, and AI initiatives.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

Build and operate scalable data pipelines supporting batch and streaming workloads, AI and ML systems, analytics, and sports intelligence products. Responsibilities include ETL/ELT development, data modeling, orchestration, retrieval pipelines, data quality, lineage, monitoring, infrastructure optimization, and collaboration with ML, product, and analytics teams.

Designs and operates scalable ML infrastructure, including training, serving, inference, orchestration, and deployment pipelines. Optimizes GPU and CPU workloads, manages cloud clusters, implements observability and SLOs, and secures automated CI/CD and infrastructure-as-code workflows. Partners with research and AI engineering teams to productionize models, while building reusable tooling, templates, and runbooks. The role also supports low-latency model serving, data quality, model promotion, and cost optimization.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Build and operate production systems for Juniper Square’s AI Platform, including APIs, infrastructure, reusable frameworks, and AI/LLM capabilities. Own projects end to end, ensure reliability and observability, contribute to technical design, and support incident response. Collaborate with product, design, QA, and engineering teams while applying AI-native development practices. The role requires strong Python backend engineering, cloud-native technologies, databases, production operations, and hands-on experience with RAG, agents, evaluation workflows, or related AI systems.

Design, build, deploy, operate, and maintain scalable cloud-based web services, APIs, microservices, tools, and internal systems using Go. Improve code quality, testing, deployment automation, monitoring, and engineering processes. Collaborate with stakeholders and engineering teams, make data-informed product decisions, troubleshoot complex issues, and mentor colleagues while delivering production-ready solutions in an agile environment.

Build and scale AI-agent infrastructure, including orchestration, tool calling, context management, guardrails, evaluations, and LLM-as-judge pipelines. Develop Python and Node.js microservices, Laravel APIs, AWS infrastructure, and optimized MySQL systems. Diagnose agent failures, improve prompts and tools, maintain reliability and observability, contribute to architecture, review code, collaborate cross-functionally, and mentor engineers.

Develop responsive, production-ready front-end applications for a modern document authoring platform. Translate UX/UI and Figma designs into accessible interfaces, build authoring workflows, integrate RESTful APIs and backend services, and support AWS-hosted environments. The role includes front-end architecture, component-based development, state management, troubleshooting, performance optimization, code reviews, and cross-functional collaboration while delivering a scalable MVP in an Agile environment.

Lead AI architecture across multiple client engagements, shaping solutions during pre-sales and governing designs through delivery. Define model hosting, security, data residency, integration, evaluation, observability, and cost standards. Maintain reference architectures and reusable accelerators, review code and designs, prototype solutions, mentor AI and data engineers, support technical hiring, and represent the company before enterprise architecture and security boards. The role requires hands-on enterprise software and production LLM experience, commercial judgment, and willingness to travel to Canadian client sites.