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A technology solutions provider is looking for a QA & Automation Engineer in Mississauga, Canada. This role involves validating ETL pipelines and automating testing processes across Azure data services. The ideal…
A leading technology firm in Toronto is looking for a Mid-Senior Level IT Professional with 8-10 years of experience. The candidate should have strong knowledge and hands-on experience with AWS and its related…
Astra-North Infoteck is hiring a Senior ML Engineer to support its AI Center of Excellence, leading end-to-end ML initiatives — data prep, feature engineering, model development, deployment and monitoring — in cloud environments. Core stack includes Azure ML, Databricks and MLOps, with GenAI experience a plus.
A hands-on Senior Machine Learning Engineer role supporting an AI Center of Excellence: building, deploying, and operationalizing end-to-end ML solutions on Azure — from data prep and feature engineering through pipelines, deployment, monitoring, and production support — using Python, SQL, Azure ML, Databricks, MLflow, CI/CD, and MLOps.
A senior DevOps/SCM engineer who plans and executes migrations of repositories and CI/CD pipelines from Bitbucket to GitHub — analyzing repos, branching, permissions, webhooks and integrations, automating migration with scripts, and troubleshooting issues alongside dev, security, and platform teams. Core stack: Git/GitHub/Bitbucket, GitHub Actions/Jenkins, and Python/Bash/PowerShell/Groovy scripti
Platform engineer deploying and managing AI/ML workloads (LlamaIndex Cloud, KDB.AI) on Kubernetes across Dev/QA/Prod, building GitOps deployment pipelines with Flux CD, Helm charts, and Vault secrets management, plus CI/CD with GitHub Actions and Artifactory.
A senior data engineer at an IT consulting firm who designs and optimizes scalable data pipelines within the Microsoft Fabric and SAP BW ecosystem. Core technologies include Azure, Microsoft Fabric, SQL, and data product engineering.
Senior Java developer (7-10 years) building back-end microservices, APIs, and web applications in Java and Python, ideally for commercial lending platforms like ACBS/AFS. Hybrid role based in Toronto with four days a week in the office.
A senior ETL developer designs and manages data warehouse pipelines for a banking-domain client in Toronto (hybrid, 2 days onsite), building SSIS/SSRS packages and working with AWS Redshift and AWS Glue. The role also involves leading and mentoring a team of developers.
Senior ETL developer building and architecting data pipelines on Snowflake while acting as a technical leader and advisor to business stakeholders. The role focuses on modern data architecture, including the Medallion framework, data governance, data quality, and Snowflake features like Cortex Analyst/Search and Snowflake Intelligence.
A DevOps engineer designs, deploys, and maintains scalable Azure cloud infrastructure, writing Terraform infrastructure-as-code, running Kubernetes container workloads, and building CI/CD pipelines. The role also supports data workflows on modern platforms like Databricks and Snowflake and requires hands-on Python skills.
Senior Data Engineer designing scalable data architectures and building/optimizing enterprise data pipelines and models using AWS data services and Databricks. Day-to-day involves data transformation/modeling for reporting and analytics, gathering business requirements, and ensuring data quality and operational standards.
Data engineer designing and maintaining banking data pipelines on AWS (S3 data lake, Glue, Lambda, Redshift, Step Functions) and migrating legacy IBM Netezza warehouse code to an AWS data lake. Hybrid role in Toronto (2 days/week in office) requiring 5+ years in banking/financial domain.
Senior Software Engineer in Toronto (hybrid) who designs, builds, and optimizes GenAI-driven, cloud-based contact center solutions using Python, AWS Lambda, and modern DevOps practices. The role requires 10+ years in distributed systems and covers solution design, documentation, and cross-functional delivery.
Senior data engineer who designs and builds scalable enterprise data platforms, leading ETL/ELT pipeline development, data modeling, and data quality practices day to day. Core stack is Databricks (PySpark, Delta Lake, Unity Catalog, Lakeflow) on AWS (S3, Glue, Lambda, Step Functions, Redshift), with mentoring and architecture leadership.
Senior full-stack engineer building GenAI/LLM solutions and foundational AWS cloud capabilities for contact centers across Canada, Asia, and the US. Day to day: hands-on development in Python and Java (Lambda, APIs) with DevOps tooling like Bitbucket, Jenkins, and Ansible, working in a Toronto hybrid model.
Senior AI Engineer in Toronto (hybrid, 3 days/week in office) who designs and runs agentic LLM workflows, knowledge graphs (Neo4j/MongoDB, GraphRAG, embeddings), and MCP/A2A agent interfaces on the JVM (Java/Kotlin), using event sourcing (Akka), cloud AI services, CI/CD, observability, plus AI evaluation, guardrails, and document-generation tooling.
Senior full-stack developer (10+ years) building cloud-native web applications and secure REST APIs with React, Next.js, TypeScript, and Node.js/.NET backends, deployed on Azure (App Services, Key Vault, API Management) with GitHub Actions CI/CD. Hybrid role in Toronto, 2 days a week in office; Azure AI/GenAI exposure is a nice-to-have.
Senior Java developer in Toronto building and maintaining Java applications with a heavy focus on test-driven development, JUnit/Mockito unit testing, code quality (SonarQube, JaCoCo) and CI/CD quality gates. Day to day involves core Java, REST APIs with Spring/Spring Boot, refactoring, and code reviews in an Agile team.
Senior Java developer who designs, builds, and maintains Java/Spring Boot applications and REST microservices, with a strong emphasis on TDD, unit testing (JUnit/Mockito), code quality (SonarQube, JaCoCo), and CI/CD pipelines (Jenkins), on an Agile team in Toronto with cloud/AWS exposure.
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