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Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
6+ ansCandidates need 6-8 years of Java (Java EE/Java SE) development experience, with GoLang as an asset. A computer science or related degree and knowledge of Docker, Azure cloud services, PostgreSQL, Kubernetes or OpenShift, web services/APIs, web security, networking and Unix are preferred.
Java, GoLang, Docker, Kubernetes, Red Hat OpenShift, Azure SQL
Acquird.io
6+ ansAcquird.io needs candidates with 6+ years of large-scale software experience, recently at a Staff or Lead level, and a track record of taking products from zero to one. Strong backend architecture skills, AI-assisted development habits and LLM or agent experience are required.
Node.js, TypeScript, GraphQL, PostgreSQL, MongoDB, React
Docker
3+ ansCandidates need 3+ years of security engineering with hands-on offensive testing, 2+ years of Python or Golang development, and experience securing AWS, GCP or Azure. Offensive certifications, AI/ML security knowledge and strong communication skills are expected.
Burp Suite, AWS, GCP, Azure, Kubernetes, Docker
Relay: Relay is a financial technology company and is not an FDIC-insured bank.
3+ ansCandidates need at least 3 years of data engineering experience, advanced SQL, and production-grade Python. Hands-on experience with dbt, Dagster, Snowflake and a major cloud provider is required, along with BI tool experience.
dbt, Snowflake, Dagster, Python, SQL, AWS
Guidepoint
6+ ansCandidates need 6+ years of backend software engineering experience with a Bachelor's degree, or 4+ years with a Master's, including production LLM and Generative AI work. Strong Python, cloud container deployment and experience with LLM evaluation and MLOps are required.
Databricks, Apache Spark, Azure Kubernetes Service, Docker, Kubernetes, Helm
Guidepoint
6+ ansCandidates need a bachelor's degree with 6+ years, or a master's degree with 4+ years, of backend and Generative AI engineering experience. They must have strong Python, cloud and container skills, and hands-on experience building LLM applications.
Databricks, Azure Kubernetes Service, Docker, Kubernetes, Helm, ArgoCD
TTEC Digital
5+ ansCandidates need a Bachelor's or Master's in a technical field and 5-8 years of data engineering experience with production pipelines on Azure. Expert Python, SQL and PySpark skills, deep Azure Data & AI or Databricks experience, and strong communication and mentoring abilities are required.
Azure Data Factory, Microsoft Fabric, Azure Synapse, ADLS Gen2, Azure Databricks, Event Hubs
Klue
Candidates need several years of backend production experience, hands-on search or retrieval work, and experience with LLM-powered or agentic systems. Strong Python skills, cloud infrastructure experience and a customer-focused mindset are expected.
Python, PyTorch, Elasticsearch, Pinecone, PostgreSQL, Docker
PointClickCare: PointClickCare is a leading health tech company with one simple mission: to help providers deliver exceptional care.
Candidates need proven experience shipping agentic AI at scale, hands-on expertise with Microsoft Azure AI and Anthropic tools, advanced Python and Java skills, and knowledge of RAG pipelines and relational databases. A Bachelor's degree in Computer Science or a related field is also required.
Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence, Claude Code, LangChain, AppDynamics
Intellistack
3+ ansCandidates need 3+ years of backend engineering experience, strong Java and Spring Boot skills, and working knowledge of identity concepts such as OAuth 2.0, OIDC, SSO and SCIM. Experience with Kafka or similar messaging, a cloud platform, and a Bachelor's degree or equivalent experience are also required.
Kafka, Kubernetes, Spring Boot, AWS, Azure, Google Cloud Platform
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
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