Top Reliability Engineer Jobs in Calgary

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Design and operate globally distributed database systems across bare-metal and cloud environments. Lead reliability, performance, automation, observability, incident response, capacity planning, security, and database change management. Establish technical direction, simplify the infrastructure footprint, develop data-platform roadmaps, troubleshoot complex distributed-system failures, and mentor engineers across teams.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Designs, operates, and scales multi-region AWS infrastructure and Kubernetes clusters for large-scale autonomous-system simulation workloads. Responsibilities include Terraform infrastructure, networking, GitOps deployments, incident response, observability, IAM governance, security and compliance support, CI/CD improvements, and developer tooling. The role also supports GPU, batch, and Windows workloads on Kubernetes while driving reliability and cost optimization across production systems.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Build and operate AWS infrastructure, automation, observability, CI/CD pipelines, and internal developer platform components. Improve system reliability through resilience testing, automated recovery, capacity planning, and SLOs. Own projects from planning through rollout, mentor engineers, establish infrastructure standards, collaborate with software and security teams, and participate in a low-volume on-call rotation.

Lead platform infrastructure reliability initiatives for a microservices-based cloud SaaS solution. Design scalable, automated, observable infrastructure; define platform roadmaps; guide engineering teams through design reviews; reduce operational toil; build monitoring and alerting; and participate in on-call incident response. The role uses AWS, Kubernetes on EKS, Istio, infrastructure-as-code, GitLab, Argo CD, and Datadog.

Own and improve CI/CD, developer tooling, agent harnesses, Kubernetes infrastructure, observability, cost management, and incident-response practices. Build platform capabilities that reduce engineering toil and improve delivery speed for conversational AI products. Participate in an on-call rotation for core infrastructure and help shape reliable, scalable systems across a fully remote engineering organization.

Build and scale automated infrastructure provisioning across physical data centers and AWS/GCP environments. Develop continuous delivery pipelines for software, servers, and network switches. Manage vendor relationships, procurement, hardware purchasing, and remote workforce setup. Collaborate within a multidisciplinary infrastructure team with shared responsibility for systems and networks. The role requires automation, scripting, systems and network engineering, vendor management, and continuous learning. Familiarity with authentication protocols, Azure Active Directory, and highly available PostgreSQL architectures is desirable.

Build and operate scalable, resilient, distributed services across AWS and Azure. The Senior Site Reliability Developer will automate infrastructure, develop platforms and frameworks, establish monitoring and incident response practices, define runbooks, reduce operational toil, lead delivery projects, mentor engineers, and participate in technical interviews and on-call rotations. The role requires expertise in cloud infrastructure, infrastructure as code, CI/CD, Kubernetes, observability, telemetry, and SRE practices including SLOs, SLIs, and error budgets.

Operate and maintain highly available, secure, containerized SaaS applications across AWS and Azure. Responsibilities include rotating 24x7 on-call coverage, observability, incident and security response, disaster recovery, Terraform infrastructure-as-code, CI/CD automation, cloud integration, performance optimization, and developing AI agents to automate SRE and DevSecOps workflows.

Designs and maintains Camunda’s Kubernetes-based multi-cloud infrastructure, improving scalability, reliability, monitoring, observability, and automation. Owns systems end-to-end, participates in incident response and on-call rotations, creates runbooks, collaborates with product and engineering teams, and mentors less experienced engineers. The role requires strong Kubernetes, infrastructure-as-code, monitoring, incident response, and automation expertise, with cloud, GitOps, programming, and SLO experience preferred.

Own and improve Elastic’s observability infrastructure across hosted cloud deployments. Responsibilities include Terraform-based infrastructure delivery, Python and Go development, production operations, incident response, on-call participation, RCA and postmortem writing, code and design reviews, mentoring, and improving operational documentation and processes. The role also involves operating Linux and containerized workloads, delivering complex projects independently, and maintaining secure, reliable platform infrastructure.

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.

Own and evolve Babylist's AWS infrastructure, Terraform IaC, Kubernetes/EKS clusters, CI/CD, and observability for a platform serving millions. Lead incident response, improve developer tooling, and set reliability standards across engineering teams.

Owns reliability, scalability, observability, and incident response for a mission-critical SaaS platform. Responsibilities include 24x7 on-call support, root cause analysis, automation, AWS infrastructure design, EKS/Kubernetes and Docker operations, Terraform and Helm deployments, CI/CD maintenance, cloud networking, monitoring with Datadog, Grafana, and Prometheus, database operations, and migration toward Kubernetes. The role also develops self-healing systems, documentation, runbooks, and cross-functional customer-focused reliability practices.

The Senior Site Reliability Engineer will enhance reliability of Block's platform, improve incident response using AI tools, and coordinate incident management. Responsibilities include building reliable systems, standardizing tools, and leading high-severity incidents during on-call rotations.

The Reliability Engineer will develop and implement reliability test plans for IVD medical devices, conduct analyses, and lead cross-functional projects while ensuring compliance with regulatory standards.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Own and scale payments partner integrations and reporting; automate manual processes; build tooling and anomaly detection; collaborate with engineers, accounting, and partners to trace and reconcile large-scale money flows; troubleshoot and implement code changes.

Design and implement automated data quality frameworks and tests for BigQuery-based pipelines. Collaborate with data engineers and product to define data contracts and quality gates, build observability and anomaly detection, validate complex ELT/ETL processes, and integrate data tests into CI/CD workflows. Drive improvements in documentation, governance, and pipeline reliability.

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.

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.

Build and maintain automated test suites across mobile and backend, integrate quality gates into CI/CD, monitor production systems, participate in incident response and root-cause fixes, and embed quality practices across the engineering team using AI-assisted tools.

Designs, builds, and operates cloud infrastructure and reliability capabilities for an enterprise AI platform. Responsibilities include infrastructure as code, landing zones, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, on-premises, and customer-controlled environments. This remote, client-facing consulting role requires strong communication, production ownership, and the ability to balance reliability, delivery speed, security, and operational cost.