14 cloud ops engineer jobs at 14 companies in Lockport, NY
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Senior Cloud Engineer (261033)
Toronto, Ontario, Canada
OnsiteFull Time
ScotiabankToronto Stock Exchange: BNS: Provides global personal, commercial, and investment banking services.
9+ YOE9+ years experience in cloud/ops with Dynatrace, CI/CD (Jenkins/GitHub/Terraform), GCP/Azure, Kubernetes, Linux scripting, Pega administration, monitoring tools and incident/change management.
San Francisco or Dallas or Phoenix or Pittsburgh or Toronto or United States
$157k-$234k/yrRemoteFull Time
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
3+ YOE3-5 years in MLOps/DevOps; Bachelor's in CS/Data Science; Python proficiency; ML frameworks (TensorFlow/PyTorch); cloud platforms (AWS/Azure/GC); Kubernetes/Docker; CI/CD; strong problem-solving; production model monitoring.
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
3+ YOEMLOps engineer with 3+ years of DevOps/MLOps experience; strong IaC, containerization (Docker/Kubernetes), CI/CD, Python/Bash scripting; monitoring/logging; security and governance; collaboration with data engineers; cloud experience (AWS/Azure).
5+ YOE5+ years IT experience (or equivalent), proficiency in Python/Golang, Linux administration, infrastructure-as-code, networking and identity/auth systems, Agile experience, and strong problem-solving and collaboration skills.
Python, Golang, Linux, Kubernetes, ECS, CI/CD, Docker, Istio, Envoy, Consul, Mesos/Marathon, Amazon Web Services, EC2, RDS, Dynamo DB, Route53, Elastic Load Balancers, AMIs, IAM Roles, Ops Works, Cloud Formation
New York City or Toronto or United States or Canada
$195k-$245k/yrRemoteFull Time, Contract
FutureFit AI: Provides AI-powered career navigation and workforce development software solutions.
Senior MLOps/data engineering experience with strong systems design, hands-on implementation of production data pipelines and ML workflows, fluency with modern data/ML stack and cloud infrastructure (SQL, Python, Airflow, dbt, AWS).
San Francisco or Atlanta or Austin or Boston or Chicago or Dallas or Denver or Houston or Jacksonville or Los Angeles or Miami or New York City or Phoenix or Portland or Sacramento or Salt Lake City or San Diego or Seattle or Washington, D.C. or Ottawa or Toronto or Vancouver or Mexico City
HybridFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
BellToronto Stock Exchange: BCE: Provides telecommunications, internet, and media services throughout Canada.
8+ YOE5+ MgmtBachelor's in a technical field,8+ years cloud/platform engineering or ops experience,5+ years people leadership,practical experience with private and public clouds,AI/AIOps experience,and strong program and stakeholder management skills.
Technology Solutions - Data Platform & Engineering Fall 2026 Co-op/Intern
Toronto, Ontario, Canada
$23/hrHybridMultiple Commitments Available
DefinityToronto Stock Exchange: DFY: Provides property and casualty insurance products in Canada.
Enrolled in a co-op program in CS/CE or related; foundational data engineering knowledge; experience with Python/Spark/Scala, SQL, shell scripting, Google Cloud, and data formats (AVRO, ORC, Parquet); familiarity with Jira, Bitbucket, Jenkins, Confluence.
PwC: Global provider of professional audit, tax, and consulting services.
3+ YOEBachelor's in CS/Cybersecurity preferred; 3+ years SIEM implementation/security ops experience; hands-on with Microsoft Sentinel, Google SecOps, Palo Alto XSIAM, Devo, Splunk; scripting (Python, PowerShell, Bash); cloud (Azure, GCP, AWS); CI/CD with GitHub.
Microsoft Sentinel, Google SecOps, Palo Alto XSIAM, Devo, Splunk, GitHub, DataBahn, Cribl, Python, PowerShell, Bash, Azure, GCP, AWS, Logic Apps, Phantom, Demisto, XSOAR, NIST, MITRE ATT&CK, REST APIs, JSON, CI/CD, Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Teams, Microsoft Outlook
ManulifeTSX: MFC: Provides insurance, wealth management, and investment services globally.
8+ YOE8+ years in data science/AI/ML engineering with delivery experience; hands-on Python, cloud ML, MLOps, vector DBs, LLM-Ops; experience in financial crime prevention and partnering with Risk/Legal/Procurement; people leadership; bachelor’s required, advanced degree preferred.
Python, cloud ML environments, MLOps, vector databases, LLM-Ops, Agentic AI