Alquemy Search & Consulting

10 Jobs

33 Employees

About the Company

Alquemy challenges traditional thinking and drives innovation through expert delivery of IT consultants, contractors and permanent staff in the areas of IT operations, software development, security, infrastructure, cloud technologies, and IT transformation. Our team creates measurable business value to help your organization gain a competitive edge.

Alquemy has grown quickly since opening our doors; today Alquemy operates across Canada and is actively working with the top contract and full-time talent across North America.

The IT staffing / contingent industry is becoming increasingly plagued by inexperience, misrepresentation, and an increased focus on high volume and low quality; leaving many organizations frustrated with the state of the industry.

Alquemy seeks to reinvigorate the industry by bringing quality, transparency, integrity, and accuracy back to staffing representation. Our proven systems and process are designed to deliver the highest quality candidates and build long lasting partnerships with our clients.

Decades of experience has taught us what to look for and what to ignore. By conducting thorough research on the complete market of passive candidates including talent data mining, sourcing, talent attraction, and recruitment; Alquemy provides you with the ability to make the best decision from the best talent in the marketplace.

Listed Jobs

Company Name: Alquemy Search & Consulting
Job Title: Senior Data Engineer
Job Description: **Job title:** Senior Data Engineer **Role Summary:** Design, develop, and maintain scalable batch and real‑time data pipelines for a cloud‑native data platform. Own end‑to‑end data flow architecture, ensuring performance, reliability, and security. Collaborate with data scientists, analysts, and IT stakeholders to translate business requirements into optimal data solutions. **Expectations:** - 1‑year fixed‑term contract, fully remote. - 37.5 hours per week. - Must hold Enhanced Reliability Security Clearance (mandatory). **Key Responsibilities:** - Build and optimize batch and streaming pipelines using Spark, Azure Databricks, Azure Synapse, and Delta Lake. - Define and enforce data architecture standards, including design patterns for access, query, and consumption needs. - Design and implement data models (Data Vault, Star, Snowflake, 3NF) and support diverse storage formats (SQL, NoSQL). - Integrate with event‑driven services such as Azure Event Hub, Azure Function Apps, Kafka, Flink, and Storm. - Ensure pipeline reliability and security through DevSecOps practices; use Azure DevOps, Git, Maven, Nexus for CI/CD and configuration management. - Work cross‑functionally to refine data requirements and accelerate data onboarding to analytics platforms. - Continuously improve pipeline quality, scalability, and maintainability. **Required Skills:** - Proficiency in Spark with Python or Scala. - Experience with Azure data services: Data Lake Storage, Databricks, Synapse, and Delta Lake. - Knowledge of integration patterns – Azure Event Hub, Function Apps, Kafka, Flink, Storm, Spark Streaming. - Strong database modeling expertise (Data Vault, Star, Snowflake, 3NF). - Hands‑on with relational databases (SQL Server, Oracle) and NoSQL stores (Cassandra, MongoDB, Cosmos DB, HBase). - Familiarity with source control and CI/CD tooling: Azure DevOps, Git, Maven, Nexus. - Proven ability to design secure, high‑performance data pipelines. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. - Preferred certifications: Microsoft Azure Data Engineer Associate (DP-203) or equivalent. ---

Company Name: Alquemy Search & Consulting
Job Title: Responsible Artificial Intelligence (A.I.) Operations Lead
Job Description: **Job Title:** Responsible Artificial Intelligence (A.I.) Operations Lead **Role Summary:** Senior individual contributor responsible for operationalizing Responsible AI across a broad AI portfolio within a regulated banking environment. Designs, implements, and enforces AI governance frameworks, conducts risk assessments, and acts as the main point of contact for risk and governance forums, defending AI solutions with data‑driven metrics. **Expectations:** - 6–10 years total experience; 4+ years in Responsible AI, AI governance, or model risk. - Hands‑on with configuration, measurement, testing, and defense of AI systems. - Independent decision‑maker; does not delegate or act in a purely strategic role. - Must communicate complex technical concepts to non‑technical audiences and present to regulatory forums. - Operate fully within a regulated banking context, ensuring compliance with all applicable rules. **Key Responsibilities:** - Develop, implement, and maintain Responsible AI frameworks, policies, and controls aligned with enterprise AI strategy. - Conduct risk assessments; monitor AI models for bias, drift, and regulatory compliance. - Ensure operational reliability, security, and ethical use of AI across the lifecycle. - Collaborate with business, compliance, legal, and technology teams to align AI solutions with organizational guidelines and regulatory expectations. - Lead incident management and escalation for AI‑related issues. - Drive continuous improvement: automation, monitoring, and reporting of Responsible AI practices. - Present use cases and risk questionnaires to governance forums; submit and update requirements on agreed cadences. **Required Skills:** - Deep technical knowledge of AI/ML technologies, regulatory standards, and ethical frameworks. - Proficiency with MLOps platforms, model monitoring solutions, risk assessment tools. - Experience with cloud platforms (Azure, AWS, GCP) and data governance tools. - Strong stakeholder management, leadership, and presentation skills. - Ability to communicate technical content to non‑technical stakeholders. - Analytical and problem‑solving abilities focused on risk mitigation and compliance. - Project/program management experience. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Finance, Risk Management, or related field. - Certifications in AI ethics, governance, or regulatory compliance (e.g., Certified Information Privacy Professional, Certified Analytics Professional, or equivalent) are preferred.

Company Name: Alquemy Search & Consulting
Job Title: Junior Full Stack Developer
Job Description: **Job Title** Junior Full Stack Developer **Role Summary** Execute and support development of desktop applications, RESTful web services, and web applications. Collaborate with business analysts, subject‑matter experts, and stakeholders across SDLC phases (waterfall & Scrum) to design, implement, test, and maintain software solutions, providing 2‑to‑3rd level support to internal users. **Expectations** - Deliver work independently with minimal supervision while contributing to a team environment. - Demonstrate strong problem‑solving, communication, and time‑management skills. - Keep all software artifacts current, participate in code reviews, and adhere to agile practices. **Key Responsibilities** - Develop and maintain .NET desktop applications, web services, and MVC web applications. - Design, code, and deploy REST APIs and front‑end components using HTML5, CSS3, Bootstrap, JavaScript, jQuery, Ajax, Angular/React/NodeJS. - Perform SQL Server database design, T‑SQL development, and maintain SSIS/SSRS packages. - Create and manage deployment packages (WIX, Azure/AWS) and CI/CD pipelines (TFS, DevOps). - Provide 2nd/3rd‑level support for internal business applications. - Participate in requirement workshops, architecture discussions, and design reviews. - Maintain documentation, participate in sprint ceremonies, and follow agile processes. **Required Skills** - 2+ years experience with .NET Framework, C#, SQL Server/T‑SQL. - 2+ years experience as a Full‑Stack Web Developer: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Ajax, MVC. - Proficiency in at least one of: Angular, React, NodeJS, TypeScript, Golang. - Familiarity with SSIS, SSRS, WIX, Azure or AWS cloud services. - Knowledge of UML, IIS, Office 365/Visio, DevOps tools (TFS, CI/CD). - Strong problem‑solving, communication, and organizational skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Certifications in .NET, Azure/AWS, or relevant front‑end technologies preferred but not mandatory.

Company Name: Alquemy Search & Consulting
Job Title: Cloud Engineer - Observability
Job Description: Job title: Cloud Engineer – Observability Role Summary: Execute and maintain observability for a portfolio of 150+ cloud services, ensuring optimal performance, reliability, and cost efficiency across multi‑continent deployments. Act as the subject‑matter expert on monitoring, alerting, and operational excellence, collaborating with DevOps/SRE and cross‑functional teams in an Agile environment. Expactations: - Deliver end‑to‑end observability solutions using Datadog, Azure, Kubernetes, Terraform, and GitOps. - Lead the definition of observability practices, runbooks, and training materials. - Drive automation to reduce toil and improve deployment velocity. - Measured performance against SLAs, cost, and reliability targets. - Provide 24x7 support for customer‑facing services and collaborate on incident management. Key Responsibilities: - Own observability architecture and operations for production and non‑production environments. - Configure, monitor, and alert using Datadog; manage cost, configuration, and capacity planning. - Create and maintain runbooks, documentation, and DevOps processes. - Participate fully in sprints: planning, estimation, daily stand‑ups, and retrospectives. - Mentor and support development teams in observability best practices. - Identify and implement automation to reduce repetitive tasks, benefiting overall efficiency. Required Skills: - 2+ years admin/operations experience with Datadog (configuration, cost mgmt). - 4+ years DevOps/SRE role with hands‑on Azure, Kubernetes, Terraform, GitOps, Docker, CI/CD. - Strong understanding of observability principles and monitoring tools. - Experience with scripting/automation to reduce toil. - Proficient in Azure DevOps, CI/CD pipelines, and agile methodologies. - Familiarity with ArgoCD, Databricks, SQL is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field (preferred). - Industry certifications such as ITIL, Azure Architect, or equivalent are an asset.

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