{"id":4336962,"url":"https://alion.io/job/tjx-site-reliability-engineer","title":"Site Reliability Engineer","company":{"id":1758993,"name":"TJX","domain":"tjx.com","url":"https://alion.io/company/tjx-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mississauga, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":87780,"max":122892,"currency":"CAD","period":"year","gross":null,"usd_annual":86162},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"AppDynamics","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Dynatrace","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Incident Management","optional":false},{"name":"ITSM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"New Relic","optional":false},{"name":"Power Automate","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"Shift-Left Security","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Docker","optional":true},{"name":"GitOps","optional":true},{"name":"ITIL","optional":true},{"name":"Jira","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenShift","optional":true},{"name":"Opsgenie","optional":true},{"name":"PagerDuty","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"ServiceNow","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T15:44:02Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"TJX CompaniesAt TJX Canada, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our Distribution Centers, Corporate Offices, or Retail Stores-WINNERS, HomeSense, and Marshalls, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family-a Fortune 100 company and the world’s leading off-price retailer.Here at TJX Canada, we are an equal opportunity employer committed to the inclusion and accommodation of all individuals.\nJob Description:\nWe’re looking for a Site Reliability Engineer to help shape the future of intelligent operations by leveraging AIOps, GenAI, automation, and self-healing technologies across enterprise platforms. In this role, you’ll drive initiatives that enhance system reliability, improve observability, and accelerate incident response while reducing manual effort through innovative automation solutions. You'll have the opportunity to influence modern engineering practices, work with cutting-edge AI technologies, and make a measurable impact on the scalability and performance of critical business applications. Join a collaborative team where innovation, continuous improvement, and operational excellence are at the heart of everything we do.\nWhy Work With Us?\nWe value integrity, respect, and teamwork, encouraging a unique and inclusive culture.\nEnjoy Associate discounts at our stores, available to you and eligible family members.\nImmediate access to our Group Benefits package, including a Health Care Spending Account, Retirement Savings Program, Associate & Family Assistance Program, and various well-being resources\nA competitive vacation package, paired with a Vacation Trade Program that allows you to opt in for an extra week. \nComprehensive training and development resources designed to help you learn, grow, and succeed.\nExciting career paths with growth opportunities and tuition reimbursement to support your career progression.\nWhat You’ll Do:\nImplement SRE best practices across production support, incident management, problem management, change management, release, and deployment processes.\nBuild and maintain automation scripts, runbooks, self-healing workflows, and operational tools to reduce manual effort and improve MTTR.\nSupport AI-driven operational capabilities such as incident summarization, alert enrichment, anomaly detection, log analysis, event correlation, and root cause recommendations.\nConfigure and enhance observability across logs, metrics, traces, dashboards, alerts, and synthetic monitoring.\nWork with monitoring/APM tools such as Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor, or similar tools.\nSupport implementation of SLIs, SLOs, SLAs, service health metrics, reliability KPIs, and operational dashboards.\nIntegrate monitoring, ITSM, CI/CD, cloud, and automation platforms using APIs, scripts, and workflows.\nParticipate in incident response, troubleshooting, RCA, postmortems, and corrective/preventive action planning.\nDrive shift-left reliability by embedding monitoring, alerting, automation, and operational readiness into SDLC and CI/CD pipelines.\nSupport reliable application and platform operations in Azure Cloud.\nCreate and maintain documentation, runbooks, knowledge articles, and automation playbooks.\nEnsure AI-enabled operations follow enterprise security, compliance, data privacy, and responsible AI guidelines.\nAbout You:\n6+ years of experience in SRE, DevOps, Production Support Engineering, Cloud Operations, Automation Engineering, or related roles.\nHands-on experience in application support, incident management, problem management, change/release management, deployment support, monitoring, and documentation.\nHands-on experience with observability/APM tools such as Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor, or similar tools.\nExperience with SLIs, SLOs, SLAs, operational KPIs, service health dashboards, and reliability metrics.\nStrong coding/scripting experience in one or more languages such as Python, Java, PowerShell, Go, or Shell scripting.\nHands-on experience with automation and DevOps tools such as Azure DevOps, GitHub Actions, Jenkins, Ansible, Terraform, Power Automate, Rundeck, or similar tools.\nKnowledge of AIOps, Gen AI, or AI-enabled operations use cases such as anomaly detection, log analysis, ticket classification, event correlation, and incident summarization.\nExperience integrating enterprise tools using APIs, webhooks, scripts, and automation workflows.\nHands-on experience supporting or implementing solutions in Azure Cloud.\nUnderstanding of distributed systems, APIs, microservices, cloud-native applications, and reliability engineering principles.\nStrong troubleshooting, analytical, communication, and stakeholder management skills.\nAbility to work across application, infrastructure, cloud, operations, security, and leadership teams.\nPreferred Qualifications / Good to Have\nExperience with Agentic AI, AI agents, or Gen AI-based automation for IT operations.\nExperience with Azure OpenAI, Microsoft Copilot Studio, LangChain, Semantic Kernel, vector databases, or RAG-based solutions.\nExperience with ITSM/incident response tools such as ServiceNow, Jira Service Management, PagerDuty, xMatters, Opsgenie, or similar platforms.\nExperience with Docker, Kubernetes, OpenShift, CI/CD pipelines, Infrastructure as Code, GitOps, or DevSecOps.\nKnowledge of machine learning concepts such as anomaly detection, classification, clustering, and time-series analysis.\nUnderstanding of Responsible AI, prompt engineering, model governance, data privacy, and security controls.\nExperience in the Retail domain.\nRelevant certifications in Azure, DevOps, SRE, AI, or ITIL.\nIf you’re ready to bring your energy and passion, we’d love to hear from you. Join us and be part of a place where every day is a chance to make a difference.\nAdditional Information: Candidates aged 18 and over will be required to undergo a criminal record check as part of the hiring process.\nThis job posting is for an existing position vacancy within our organization.\nTJX Canada uses artificial intelligence (AI) to assist in screening and assessing applicants for this position.\nInternal TJX Associates must submit their applications via the Jobs Hub in Workday. Direct applications to this job posting will not be accepted.\nAddress:\n60 Standish CourtLocation:\nCAN Home Office Mississauga ONSalary Range: CAD $ 87,780.00-$122,892.00 /year *This represents the expected hiring range and may not represent the full pay range for the position. 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