{"id":4295310,"url":"https://alion.io/job/datavisor-infrastructure-engineer-junior-new-grad-toronto","title":"Infrastructure Engineer, Junior / New Grad (Toronto)","company":{"id":6370,"name":"DataVisor","domain":"datavisor.com","url":"https://alion.io/company/datavisor","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":93,"open_postings":23,"ghost_share":0,"stale_share":0.087,"repost_share":0,"time_to_fill_p50_days":89,"computed_at":"2026-11-12T10:38:37Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":80000,"max":120000,"currency":"CAD","period":"year","gross":null,"usd_annual":84134},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false},{"name":"ArgoCD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true},{"name":"LLM","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T00:56:26Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About DataVisor\nDataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.\nOur award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!\nRole Overview\nJoin the infrastructure team that runs DataVisor's real-time detection platform and builds the software around it. You will split your time between operating production infrastructure (Kubernetes, AWS, monitoring) and writing code: automation, internal tools and platform services. Senior engineers will mentor you, and you'll take on real production ownership in your first months.\nRequirements\nWhat you'll do\nDeploy and operate services on Kubernetes (EKS) with Helm, and help with upgrades, scaling and troubleshooting.\nWrite and review Terraform for AWS resources.\nBuild and improve CI/CD pipelines and deployment automation.\nWrite Python, Go, Java or Bash tools and services that remove manual operations work.\nAdd metrics, dashboards and alerts in Prometheus and Grafana. Join the on-call rotation once you're ramped up.\nHelp run the data systems behind detection (Kafka, Flink, Spark, ClickHouse, MySQL) and learn how they behave under load.\nWork with the platform team on features for distributed, real-time systems.\nWhat you'll bring\n0-3 years of experience in infrastructure, DevOps, SRE, platform or backend engineering. Internships, co-ops and substantial projects count.\nProgramming ability in at least one of Python, Go, Java or Bash, and comfort working in Linux.\nExposure to containers and Kubernetes (Docker, Kubernetes, Helm) at work, in an internship, or in your own projects.\nFamiliarity with a public cloud (AWS preferred) and an interest in infrastructure as code.\nAn understanding of networking basics (DNS, TCP/IP, load balancing) and of how distributed systems fail.\nA degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics or a related field, completed or finishing soon.\nNice to have\nA Computer Engineering, Electrical Engineering or Electronics background, with hands-on hardware, systems or networking knowledge.\nTerraform, CI/CD (GitHub Actions, Jenkins, ArgoCD) or monitoring tools used in a real setting.\nExperience with Kafka, Spark or a SQL database beyond coursework.\nInterest in fraud, risk or payments.\nUse of AI or LLM tools to automate work.\nBenefits\n Compensation: Annual salary range of CAD $80,000 - 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