Top AWS Jobs in Calgary

Develop and maintain Java-based financial microservices supporting global partner payments. Build reliable REST and message-driven systems, write tests, review code, use AI development tools, and maintain AWS and Terraform infrastructure. Collaborate with product and engineering teams while applying system design, reliability, observability, CI/CD, and database best practices.

Designs, develops, tests, and maintains cloud-based data pipelines and warehouses for large-scale datasets. The role involves data ingestion using Python and SQL, GCP services, production migrations, infrastructure troubleshooting, and optimization. The engineer collaborates with stakeholders to understand project goals and applies AI/LLM tools thoughtfully within data engineering workflows. Responsibilities also include distributed data manipulation, technical guidance, and maintaining scalable, cost-efficient data architecture.

Assess web, API, identity, AWS, and integration security controls for a bilingual nonprofit platform. Identify and report security and privacy risks, conduct threat modeling, scope and coordinate security testing, and verify remediation. Evaluate least-privilege access, encryption, secrets management, logging, consent, retention, data residency, and youth-data protections under Canadian privacy requirements. Collaborate with delivery teams and client stakeholders while documenting findings and recommendations. Canadian or U.S.-based contractors must work during Eastern Time business hours.

Designs, builds, and operates enterprise data lakes, warehouses, lakehouses, ETL/ELT pipelines, databases, and reporting platforms. Prepares governed, model-ready data for AI and machine learning, supports feature stores and embedding workflows, administers relational databases, optimizes queries and dashboards, and ensures data quality, security, availability, and disaster recovery. Collaborates with technical and business teams, reports to senior management, and mentors data engineers.

Manages the full lifecycle of enterprise legal applications, including administration, architecture, integrations, automation, upgrades, security, troubleshooting, and performance optimization. Partners with business stakeholders, vendors, and technical teams to implement solutions, oversee projects, maintain compliance, and support systems such as iManage, Intapp, records management platforms, and Microsoft environments. Develops integrations and data flows, manages security controls and ethical walls, conducts testing, maintains technical documentation, and delivers training.

Lead design and delivery of cost-visibility and optimization tooling across cloud and AI infrastructure. Set technical strategy, build automation and monitoring, collaborate cross-functionally, ensure operational readiness, and mentor engineers to scale FinOps capabilities and self-service cost systems.

As a Senior Solutions Engineer, you will engage in pre-sales conversations, design architecture, and deliver demos to help customers integrate LanceDB's AI solutions.

Establishes and operates AWS development, test, and production environments for a bilingual digital platform. Responsibilities include infrastructure automation, secure access, CI/CD, monitoring, logging, backups, recovery testing, deployment rollback, performance optimization, cloud-cost management, secrets handling, operational runbooks, and knowledge transfer. The role requires collaborative technical delivery, clear documentation, and availability during standard Eastern Time business hours.

Design, develop, and maintain full-stack features for a cloud-native digital forensics SaaS platform using React, TypeScript, C#, and .NET. Build case management capabilities, APIs, automated tests, and scalable services. Collaborate with Product, UX, and Engineering teams, contribute to architecture and operational excellence, participate in code reviews, and mentor team members. Candidates must reside in Canada.

Architects and develops scalable Java and Spring Boot web applications, RESTful APIs, and database-backed systems. Leads software delivery, testing, code reviews, automation, troubleshooting, security remediation, telemetry, production incident response, and root-cause resolution. Collaborates with stakeholders and cross-functional teams while modernizing application stacks. The role also supports cloud-native architecture, CI/CD, container orchestration, and AI-augmented development.

Architects, develops, tests, and optimizes scalable Java-based web applications using Spring Boot microservices and modern frontend frameworks. Leads software delivery across the full lifecycle, including API design, technical specification refinement, automation, performance optimization, test-driven development, code reviews, and troubleshooting. Collaborates with internal teams and external partners to deliver maintainable solutions, improve engineering workflows, and uphold modern architecture and development standards. The role is remote in Canada and requires working Eastern Time hours.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

Lead full-stack engineering for card acquisition and onboarding across mobile, web, and backend. Define technical strategy, deliver quarterly goals, mentor engineers, ensure operational reliability (monitoring, on-call, CI/CD), collaborate with product/design/analytics, and drive quality, experimentation, and scalable backend systems.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

Develop, test, deploy, and maintain scalable full-stack software using the MEAN stack. Contribute to system architecture, performance optimization, security, reliability, code reviews, and continuous process improvement. Collaborate with product managers, designers, and engineers to deliver user-focused features. Apply AI-assisted development tools, explore LLM integrations and automated testing, and mentor teammates on modern engineering practices.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

The Systems Engineer will design, build, and maintain AWS infrastructure, enhance CI/CD pipelines, and mentor team members while focusing on cloud optimization and automation.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Leads the Infra Foundations engineering team, setting its roadmap, mentoring engineers, and maintaining reliable AWS foundations. Owns account provisioning, networking, IAM, infrastructure-as-code automation, GitOps workflows, quota management, patching, configuration management, incident response, and security collaboration. Establishes operational standards, drives self-service tooling adoption, and ensures infrastructure frameworks are safe, consistent, and dependable across teams.

Develop and guide enterprise AI solutions across generative AI, agentic AI, machine learning, and automation. Define reusable architectures, coding standards, evaluation methods, governance controls, and responsible-AI practices. Provide technical direction on model and platform selection, AWS AI services, RAG, knowledge architectures, MLOps, monitoring, and production delivery. Collaborate with architecture, cybersecurity, privacy, risk, governance, internal teams, and external partners while creating enablement materials and mentoring developers.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.