We are Systematix and we are currently seeking a Senior Cloud Solution Architect for an opportunity with a public sector client. The ideal candidate must hold an active Government of Canada Reliability (Level I) security clearance. This is a hybrid role requiring up to 12 days on-site per month, expected to start in October 2026. The initial contract term is 24 months, with the option to extend for an additional 12 months.
About the Responsibilities
Oversee the Bank’s core technology services solution architecture activities for a new back-office system program ensuring effective coordination across cloud, container, database, integration, security, and operations teams.
Develop, maintain, and govern the end-to-end Solution Architecture Document (SAD) and architecture decision records ensuring architecture deliverables remain current, complete, and aligned with program objectives.
Facilitate architecture reviews, technical assessments, risk identification, and governance activities, supporting compliance with architectural standards, governance committees, and project approval requirements.
Ensure solution delivery alignment across Azure, OpenShift, SQL, IBM MQ, networking, security, and observability workstreams to support successful program outcomes.
Coordinate the resolution of cross-functional technical dependencies, issues, and risks to enable progression through development, testing, deployment, and production milestones.
Collaborate with business stakeholders, project teams, platform services, and engineering teams to deliver secure, resilient, scalable, and supportable technology solutions that meet business and operational requirements.
Related activities and deliverables, as required.
About the Qualifications
Minimum of 10 years of experience in information technology, with at least 5 years of experience in Solution Architecture supporting complex enterprise technology environments
Minimum of five 5 years of experience architecting and delivering cloud-native and container-based solutions using Azure, Azure Red Hat OpenShift, Red Hat OpenShift, and/or Azure Kubernetes Service (AKS), including both server-based and serverless application architectures.
Experience designing and implementing Azure IaaS infrastructure, networking, security, data protection, and workload portability solutions, with the ability to advise on cloud deployment models and architectural best practices.
Experience architecting highly available, resilient, and scalable multi-site, multi-region, and multi-cloud solutions, including the use of Azure Availability Zones, Availability Sets, Site Recovery, and Azure Well-Architected Framework principles.
Experience applying cloud financial management (FinOps) principles, cost optimization strategies, governance practices, and risk management while collaborating with cross-functional teams to deliver secure and operationally supportable solutions.
Experience supporting the full system development lifecycle (SDLC) and resolving complex technical risks, issues, and dependencies while collaborating across architecture, engineering, security, infrastructure, and operations teams.
Expertise in enterprise solution architecture, including architecture governance, technical assessments, architecture documentation, and Architecture Decision Records (ADRs).
Knowledge of security, networking, high availability, resiliency, disaster recovery, observability, and cloud infrastructure required to support mission-critical enterprise applications.
Candidates must outline in detail how they meet the above requirements.
Pay Disclosure
The average hourly pay range for this field is as follows:
Junior: 0–5 years of experience – $40-75/hr
Intermediate: 6–9 years of experience – $60-100/hr
Senior: 10+ years of experience – $90-150/hr
Compensation is commensurate with these standards; exceptions may apply based on experience, skills, and market conditions.
AI Disclosure
We may use artificial intelligence (AI) or other automated tools to support parts of our recruitment process. No automated tools make hiring decisions.
At Systematix, our core values—excellence, collaboration, respect, and knowledge as a pursuit—underpin our commitment to fostering an inclusive and equitable environment. We encourage everyone to be their authentic selves, and we are committed to ensuring that our employment decisions are entirely based on job requirements and individual qualifications. We welcome applications from qualified candidates of all backgrounds, including but not limited to race, ethnicity, gender identity or expression, sexual orientation, disability, age, and religious beliefs. If our values and the position advertised resonate with you, we encourage you to apply.
Software Verification Specialist
We are Systematix and we are currently looking for a Software Verification Specialist to join our client’s Product Development team on a contract basis. This role is ideal for someone with a scientific background and hands-on laboratory experience who is passionate about software quality and enjoys working at the intersection of science, technology, and product development.
ABOUT THE PROJECT
Our client is a global leader in scientific instrumentation and life sciences technology, developing industry-leading analytical solutions used by researchers and laboratories around the world. As part of an Agile product development team, you will help ensure the quality and reliability of software used to control sophisticated scientific instruments.
Working closely with software developers, scientists, and product designers, you will plan, execute, and document verification activities across the software development lifecycle. Your work will help ensure products meet defined quality standards while supporting the delivery of innovative scientific solutions.
ABOUT THE RESPONSIBILITIES
• Verify that software products meet functional and business requirements. • Participate in defining and refining product requirements and acceptance criteria. • Translate high-level requirements into comprehensive verification scenarios. • Collaborate with developers, scientists, and product teams to clarify requirements. • Design, develop, maintain, and execute manual and automated test suites. • Perform regression, exploratory, system, performance, stress, and acceptance testing. • Validate product robustness, reliability, and overall software quality. • Maintain verification traceability between requirements and test cases. • Track verification progress, risks, issues, and overall test status. • Document defects clearly and communicate findings to developers and designers. • Support Agile ceremonies and contribute to continuous improvement of testing practices.
ABOUT THE QUALIFICATIONS
• Degree in Chemistry, Engineering, or another scientific discipline (Chemistry strongly preferred). • 2+ years of laboratory method development experience. • 2+ years of hands-on experience working with Mass Spectrometry instrumentation is highly desirable. • 1+ years of experience working with LC (Liquid Chromatography) systems and related laboratory peripherals. • Experience designing test cases based on realistic laboratory workflows. • Hands-on software testing experience, including regression, system, exploratory, performance, stress, and acceptance testing, is considered a strong asset. • Experience working within Agile, Scrum, XP, or Test-Driven Development (TDD) environments is an asset. • Experience supporting Omics applications (proteomics, metabolomics, genomics, etc.) is highly desirable. • Exposure to cloud-based applications or cloud technologies is considered an asset. • Ability to quickly learn new laboratory hardware and software platforms. • Excellent analytical, troubleshooting, communication, and collaboration skills.
ABOUT THE ROLE
This is a contract position supporting a global product development team. The successful candidate will work in a hybrid model, with at least three days per week onsite at our client's North Toronto office.
PAY DISCLOSURE
The hourly pay range for this position is CAD $36.00 to $42.00 per hour, depending on experience, skills, and qualifications.
AI DISCLOSURE
Systematix uses AI-enabled tools to support portions of our recruitment process, including resume review, candidate matching, and administrative tasks. All hiring decisions are made by our recruitment professionals based on qualifications, experience, and client requirements.
APPLY NOW
If you are interested in learning more about this opportunity, please submit your resume or contact our recruitment team at jobs@systematix.com.
ABOUT SYSTEMATIX
Systematix is a global consulting and resourcing firm headquartered in Canada with offices across North America and the United Kingdom. For more than 50 years, we have delivered exceptional consulting services and technology talent to Fortune 500 organizations, public sector clients, and leading organizations across a broad range of industries.
Systematix is committed to fostering a diverse, equitable, and inclusive workplace. We welcome applications from all qualified candidates and provide accommodation throughout the recruitment process in accordance with applicable human rights and accessibility legislation. If accommodation is required, please let us know and we will work with you to meet your needs.
Senior Developer – Privacy Enhancing Technology
We are Systematix and we are currently seeking a Senior Developer – Privacy Enhancing Technology for an opportunity with a public sector client. The ideal candidate must hold an active Government of Canada Secret (Level II) security clearance. This is a hybrid role requiring up to 4 days on-site per month, with an expected start date in October 2026 and a 12-month duration.
About the Responsibilities
Develop and implement privacy-enhancing technologies (PETs) for structured and unstructured datasets in collaboration with Subject Matter Experts (SMEs).
Apply advanced core computing principles to efficiently integrate multiple open-source libraries, components and platforms into cohesive and operational solutions.
Design, develop and validate proof of concept solutions with a focus on deployment in production environments.
Develop and Implement test harnesses to evaluate and compare solution approaches against performance, scalability, quality and privacy metrics.
Create, maintain and optimize Extract-Transform-Load (ETL) pipelines to ingest, transform, validate, sanitize and prepare data for processing and analysis.
Provision, configure, orchestrate and manage cloud resources in support of deployed solution.
Assess, evaluate, and recommend emerging tools, technologies, and processes to improve solution performance, efficiency, scalability and maintainability.
Analyze results and technical findings, develop recommendations, and present conclusions to stakeholders to support the scalable deployment of operationally viable PET solutions.
Prepare technical reports, data artifacts, presentations, documentation, and other project deliverables required to support project execution and decision-making.
Other related activities or deliverables as required.
About the Qualifications
Master’s or Ph.D. in fields related to privacy-enhancing technologies, artificial intelligence, machine learning, cybersecurity, cryptography, computer science, data science, mathematics, statistics.
Minimum of 5 years of recent demonstrated Python development experience with the following libraries: numpy, scipy, pandas, polars, pyspark, pytorch, scikit-learn, matplotlib/seaborn.
Minimum of 3 years of recent demonstrated extensive experience in DevOps principles, practices, and methodologies including SOLID principles, software version control, continuous integration and deployment for data science applications.
Experience analyzing and working with large, complex datasets within public sector, financial services, or similarly regulated environments.
Experience developing and implementing Privacy-Enhancing Technologies (PETs), including data anonymization, de-identification, differential privacy, secure multi-party computation, federated learning, homomorphic encryption, or similar privacy-preserving techniques.
Knowledge of data structures, data models, and data relationships, including structured, semi-structured, unstructured, nested, graph, and network-based datasets.
Experience using cloud-based data and analytics platforms, including Microsoft Azure, Microsoft Fabric, Azure Data Lake, Azure Databricks, Jupyter Notebooks, Docker.
Knowledge of Linux computing environments and basic scripting concepts.
Knowledge of privacy-preserving and statistical techniques, such as Monte Carlo simulation, Markov models, synthetic data generation, differential privacy, homomorphic encryption, and zero-knowledge proofs.
Knowledge of machine learning concepts and techniques, including GANs, transformers, auto-encoders, RAG, and machine learning model development methodologies.
Knowledge of infrastructure management and automation concepts, including infrastructure as code (IaC), Ansible, Terraform, Puppet, Chef, or equivalent technologies.
Candidates must outline in detail how they meet the above requirements.
Pay Disclosure
The average hourly pay range for this field is as follows:
Junior: 0–5 years of experience – $40-75/hr
Intermediate: 6–9 years of experience – $60-100/hr
Senior: 10+ years of experience – $90-150/hr
Compensation is commensurate with these standards; exceptions may apply based on experience, skills, and market conditions.
AI Disclosure
We may use artificial intelligence (AI) or other automated tools to support parts of our recruitment process. No automated tools make hiring decisions.
At Systematix, our core values—excellence, collaboration, respect, and knowledge as a pursuit—underpin our commitment to fostering an inclusive and equitable environment. We encourage everyone to be their authentic selves, and we are committed to ensuring that our employment decisions are entirely based on job requirements and individual qualifications. We welcome applications from qualified candidates of all backgrounds, including but not limited to race, ethnicity, gender identity or expression, sexual orientation, disability, age, and religious beliefs. If our values and the position advertised resonate with you, we encourage you to apply.
Senior Project Management Specialist – AI Transformation
We are Systematix and we are currently seeking a Senior Project Management Specialist – AI Transformation for an opportunity with a public sector client. The ideal candidate must hold an active Government of Canada Reliability (Level I) security clearance. This is a hybrid role requiring up to 10 days on-site per month, expected to start in October 2026. The initial contract term is 14 months, with the option to extend for an additional 22 months.
About the Responsibilities
Develop and continuously refine an AI transformation roadmap that is outcome-driven, prioritized, and adaptable.
Plan, coordinate, and execute activities related to AI framework development, stakeholder engagement, communications, training, and change management to support AI adoption across the division, using Agile principles and practices.
Contribute to the development and continuous enhancement of an AI framework, including delivery and operating model, architecture patterns, reusable AI assets, playbooks, etc.
Facilitate collaboration and alignment among executives, business stakeholders, technical teams, and cross-functional partners to support AI transformation activities.
Coordinate and facilitate leadership committees, working groups, stakeholder engagement forums, and regular demo and review sessions to drive alignment, oversight, and progress across the AI transformation.
Identify opportunities to expand and scale successful AI capabilities, capture lessons learned, and recommend continuous improvements to transformation approaches, processes, and delivery practices.
Related activities and deliverables, as required.
About the Qualifications
University degree or college diploma in Computer Science, Software Engineering, Information Technology or Artificial Intelligence.
AI, Cloud, or Digital Transformation certifications from recognized institutions or technology vendors.
Minimum of 8 years of recent demonstrated work experience leading large-scale enterprise projects, programs or transformation initiatives.
Minimum of 3 years of recent demonstrated work experience supporting the delivery of AI transformation, digital modernization, innovation or emerging technology initiatives within large organizations.
Experience delivering project or transformation outcomes in complex, fast-paced, Agile-structured environments with multiple stakeholders and competing priorities.
Experience establishing and maintaining governance structures, operating models, performance metrics, reporting frameworks, and program oversight processes.
Experience supporting organizational change management and technology transformation initiatives, including stakeholder engagement, communications, training, and workforce enablement activities.
Knowledge of AI technologies, AI governance considerations, and AI adoption strategies.
Experience engaging and collaborating with senior executives, business stakeholders, and technical teams, including facilitating technical demonstrations and workshops, steering committees, and decision-making forums.
Candidates must outline in detail how they meet the above requirements.
Pay Disclosure
The average hourly pay range for this field is as follows:
Junior: 0–5 years of experience – $40-75/hr
Intermediate: 6–9 years of experience – $60-100/hr
Senior: 10+ years of experience – $90-150/hr
Compensation is commensurate with these standards; exceptions may apply based on experience, skills, and market conditions.
AI Disclosure
We may use artificial intelligence (AI) or other automated tools to support parts of our recruitment process. No automated tools make hiring decisions.
At Systematix, our core values—excellence, collaboration, respect, and knowledge as a pursuit—underpin our commitment to fostering an inclusive and equitable environment. We encourage everyone to be their authentic selves, and we are committed to ensuring that our employment decisions are entirely based on job requirements and individual qualifications. We welcome applications from qualified candidates of all backgrounds, including but not limited to race, ethnicity, gender identity or expression, sexual orientation, disability, age, and religious beliefs. If our values and the position advertised resonate with you, we encourage you to apply.
Senior Project Management Specialist
We are Systematix and we are currently seeking a Senior Project Management Specialist for an opportunity with a public sector client. The ideal candidate must hold an active Government of Canada Reliability (Level I) security clearance. This is a hybrid role requiring up to 12 days on-site per month, expected to start in October 2026. The initial contract term is 12 months, with the option to extend for an additional 24 months.
About the Responsibilities
Coordinate and support the delivery of multiple CTS, Cyber Security, and ITS projects, ensuring alignment with business objectives, security requirements, and governance standards.
Develop and maintain project plans, schedules, and resource assignments to ensure project objectives are achieved.
Manage projects through all lifecycle phases, ensuring milestones, and targets are met.
Monitor and mitigate project risks, issues, dependencies, and assumptions, implementing corrective actions as required.
Coordinate and administer project change requests in accordance with approved governance processes.
Prepare and maintain project status reports, dashboards, and performance metrics, providing regular updates to stakeholders and senior management.
Coordinate with respective team leaders to identify resource requirements, assign resources, and optimize capacity to support the successful delivery of project objectives and timelines.
Engage stakeholders, clients, and business partners to gather requirements, resolve issues, and support successful project outcomes.
Facilitate Agile ceremonies, including daily stand-ups, sprint planning, retrospectives, and backlog management activities.
Ensure all project deliverables, documentation, approvals, and closeout activities are completed incompliance with organizational standards and policies.
Coordinate release management activities, ensuring releases are planned, documented, reviewed, approved, and implemented in accordance with established change management requirements.
Support the coordination and management of dependencies, risks, reporting, and delivery activities across multiple workstreams, including infrastructure, cyber security, and strategic technology initiatives.
Related activities and deliverables, as required.
About the Qualifications
Minimum of 10 years of recent demonstrated work experience delivering IT infrastructure, network security, cyber security, or technology transformation.
Minimum of five 5 years of recent demonstrated work experience as a Senior Project Management Specialist overseeing a project for the definition and implementation of infrastructure modernization, cyber security, and/or technology transformation, in a complex environment.
Experience engaging and influencing stakeholders at all organizational levels, including senior management, business stakeholders, and technical teams, while effectively communicating complex technical and business information to both technical and non-technical audiences.
Knowledge and application of PMBOK project management principles, processes, tools, and methodologies throughout the project lifecycle.
Proficiency in analyzing project risks, issues, dependencies, and impacts, and developing data-driven recommendations to support project objectives and governance decisions.
University degree or college diploma in information technology, project management, business administration or a related field.
Candidates must outline in detail how they meet the above requirements.
Pay Disclosure
The average hourly pay range for this field is as follows:
Junior: 0–5 years of experience – $40-75/hr
Intermediate: 6–9 years of experience – $60-100/hr
Senior: 10+ years of experience – $90-150/hr
Compensation is commensurate with these standards; exceptions may apply based on experience, skills, and market conditions.
AI Disclosure
We may use artificial intelligence (AI) or other automated tools to support parts of our recruitment process. No automated tools make hiring decisions.
At Systematix, our core values—excellence, collaboration, respect, and knowledge as a pursuit—underpin our commitment to fostering an inclusive and equitable environment. We encourage everyone to be their authentic selves, and we are committed to ensuring that our employment decisions are entirely based on job requirements and individual qualifications. We welcome applications from qualified candidates of all backgrounds, including but not limited to race, ethnicity, gender identity or expression, sexual orientation, disability, age, and religious beliefs. If our values and the position advertised resonate with you, we encourage you to apply.
IT Deskside Support Analyst
IT Deskside Support Analyst
We are Systematix and we are currently looking for an IT Deskside Support Analyst for our client.
ABOUT THE PROJECT:
Our client is looking for a hands-on IT support generalist to provide Level 2 deskside support within a mixed Windows PC and Apple Mac environment at their Concord, Ontario location. The role requires strong troubleshooting skills across hardware, software, peripherals and other end-user technologies.
ABOUT THE RESPONSIBILITIES:
You will:
Diagnose and resolve desktop, laptop, operating system, application and peripheral issues.
Install, configure, troubleshoot and replace Windows PCs, Apple Macs and related hardware.
Image, configure and deploy desktops and laptops, including operating systems and standard applications.
Support Microsoft 365/Office applications including Outlook, Word, Excel, PowerPoint and Teams.
Troubleshoot monitors, docking stations, printers and other end-user peripherals.
Support workstation moves, equipment replacements, hardware refreshes and new-user setups.
Respond to service requests, document incidents and troubleshooting activities, and take ownership of issues through resolution or appropriate escalation.
Work collaboratively with infrastructure, network, security and other internal IT teams to resolve issues, maintain service levels and minimize business disruption.
Maintain hardware inventory and asset records.
Provide occasional support for Apple iPhones/iOS devices and meeting-room technology.
REQUIREMENTS:
Must-have:
3–5+ years of hands-on Level 2 deskside, desktop or field IT support experience.
Strong desktop and laptop hardware troubleshooting skills.
Strong Windows PC/OS experience and working knowledge of Apple Mac/macOS.
Experience with computer imaging, configuration and deployment.
Good working knowledge of Microsoft 365/Office.
Experience troubleshooting monitors, docking stations, printers and other peripherals.
Experience working with an ITSM or ticketing system; experience with a specific platform is not required.
Strong troubleshooting, customer-service and communication skills.
Ability to independently manage multiple issues and take ownership through resolution.
Nice-to-have:
Exposure to endpoint-management or deployment tools such as Intune, SCCM/MECM, Autopilot or Jamf.
Familiarity with Active Directory or Microsoft Entra ID.
Experience with hardware asset management and inventory.
Experience supporting Apple iPhones/iOS devices.
Experience supporting Teams, meeting-room or AV technology.
Experience supporting users within a large corporate, industrial or distributed environment.
Relevant technical certifications such as CompTIA A+, Microsoft 365/Endpoint Administrator or ITIL Foundation are considered an asset.
ABOUT THE ROLE:
Location: Concord, Ontario – 100% onsite, 5 days per week Duration: 6 months to start, with extensions likely based on good performance Start date: ASAP; reasonable notice periods can be accommodated Work hours: Monday–Friday; assigned shift within the 6:30 a.m.–5:00 p.m. support window
PAY DISCLOSURE:
The hourly pay range for this position is $28–$32/hour CAD, commensurate with experience, skills and qualifications.
AI DISCLOSURE:
We may use artificial intelligence (AI) or other automated tools to support parts of our recruitment process. No automated tools make hiring decisions.
APPLY NOW:
If you are interested in finding out more, please contact us or submit your resume. Or, if you know someone who meets these qualifications, please forward this assignment.
ABOUT SYSTEMATIX:
Systematix is one of Canada’s largest privately-owned National Consulting and Resourcing firms. With offices across North America, we provide the highest-caliber consulting solutions to a diverse client base that includes all levels of government and private industry sectors.
Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer.
Systematix. Solutions Focused. People Driven.
Senior Site Reliability Engineer
We are Systematix and we are currently looking for a Senior Site Reliability Engineer – AI & Data Platform to establish the reliability, observability, and operational engineering capabilities supporting an emerging enterprise AI and Data ecosystem for one of our key clients.
ABOUT THE PROJECT Our client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing, and industrial innovation. As investment in AI, machine learning, and advanced data capabilities continues to accelerate, the organization is building the engineering foundation required to operate these environments reliably and at enterprise scale. Current monitoring, alerting, observability, and automated operational capabilities are still evolving. The successful candidate will have an opportunity to establish modern SRE practices rather than simply inherit an existing mature environment. Working closely with Platform Engineering, DevOps, and MLOps teams, this individual will help build the standards, tooling, automation, and operating practices required to deliver highly available, resilient, and observable AI and Data platforms.
ABOUT THE RESPONSIBILITIES
Design and implement monitoring, observability, and alerting capabilities across Microsoft Azure cloud infrastructure and AI/ML environments.
Establish Site Reliability Engineering practices, standards, operating models, and engineering principles.
Define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and appropriate platform reliability metrics.
Build dashboards, telemetry, and actionable alerting that provide meaningful visibility into platform health and performance.
Implement observability solutions using technologies such as Prometheus, Grafana, OpenTelemetry, or comparable platforms.
Automate operational processes, remediation, recovery, and repetitive support activities wherever possible.
Improve platform availability, scalability, resilience, performance, and recoverability.
Develop proactive infrastructure health, capacity, and performance monitoring capabilities.
Support the reliability of production AI/ML applications, services, and GPU-intensive workloads.
Partner with Platform Engineering teams to incorporate reliability and resilience into cloud infrastructure architecture.
Partner with DevOps engineers to improve deployment reliability and automate operational processes.
Partner with MLOps engineers to establish monitoring and observability for model, inference, and supporting infrastructure.
Support capacity planning and performance management across cloud and AI infrastructure.
Lead and contribute to root-cause analysis and post-incident reviews.
Identify recurring operational issues and develop engineering solutions that eliminate or significantly reduce manual intervention.
Drive continuous improvement of platform reliability, observability, and operational efficiency.
ABOUT THE REQUIREMENTS
Extensive senior-level experience in Site Reliability Engineering, Production Engineering, Systems Engineering, or a closely related engineering discipline.
Strong hands-on experience with Microsoft Azure and enterprise cloud infrastructure.
Deep expertise in monitoring, observability, telemetry, and alerting.
Hands-on experience with Prometheus, Grafana, OpenTelemetry, or comparable observability technologies.
Demonstrated experience defining and implementing SLIs, SLOs, reliability metrics, and actionable alerting.
Strong Infrastructure as Code experience.
Advanced automation and scripting capabilities.
Strong experience with Docker, Kubernetes, and containerized production environments.
Experience with CI/CD pipelines and modern software delivery practices.
Demonstrated experience operating and improving complex production systems at enterprise scale.
Experience automating operational processes, remediation, and recovery activities.
Strong understanding of distributed systems, cloud architecture, scalability, resilience, and performance.
Exceptional troubleshooting, root-cause analysis, and systems-thinking capabilities.
Strong software engineering mindset with a demonstrated preference for solving operational problems through engineering and automation rather than manual processes.
Strong communication and collaboration skills with the ability to work across Platform Engineering, DevOps, MLOps, cloud, security, data, and application engineering teams.
PREFERRED QUALIFICATIONS
Experience supporting AI and machine learning infrastructure in production environments.
Experience supporting GPU, accelerated computing, or high-performance computing environments.
Strong Python development or scripting experience.
Experience with Azure Machine Learning and related Azure AI/data services.
Experience with MLOps platforms and machine learning lifecycle infrastructure.
Experience implementing observability for machine learning models, inference services, and supporting infrastructure.
Experience establishing an SRE capability, standards, or operating model within an immature or evolving engineering environment.
Experience working within large, global, or federated enterprise environments.
ABOUT THE ROLE This is a remote contract opportunity supporting a strategic enterprise AI, Data, and Cloud engineering initiative. The successful candidate must be based within, or able to consistently work, Eastern Time Zone business hours. This is a senior, highly hands-on engineering position. The successful candidate will help establish the organization's SRE capability while personally designing and implementing the observability, automation, reliability, and operational tooling required to support the platform. We are looking for a software and engineering-oriented SRE rather than a traditional operations or support professional. The ideal candidate approaches recurring operational problems as opportunities to engineer and automate them away.
AI DISCLOSURE As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching, and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams.
APPLY NOW If you are interested in finding out more, please contact us or submit your resume to jobs@systematix.com. Know someone who would be a great fit? We welcome referrals of qualified candidates and are always interested in connecting with talented technology professionals.
ABOUT SYSTEMATIX Systematix is a Canadian-owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest-caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds. Systematix. Solutions Focused. People Driven.
Senior Cloud Platform Engineer
We are Systematix and we are currently looking for a Senior Cloud Platform Engineer – AI & Data to help design and build the foundational cloud platform supporting enterprise AI, machine learning, data science and scientific computing initiatives for one of our key clients.
ABOUT THE PROJECT Our client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing and industrial innovation. As investment in AI, machine learning and advanced data capabilities continues to accelerate, the organization is building the cloud platform foundation required to support these workloads securely and at enterprise scale. The organization has significant existing Microsoft Azure capabilities; however, infrastructure provisioning and management remain too dependent on manual processes. The objective is to transition toward a modern Platform Engineering model built around Infrastructure as Code, automation, reusable architecture patterns and self-service capabilities. The successful candidate will initially operate as both architect and hands-on builder, helping establish the technical foundation and engineering practices that will ultimately support a broader enterprise platform engineering capability.
ABOUT THE RESPONSIBILITIES
Design and build scalable Microsoft Azure infrastructure supporting AI/ML, data science and scientific computing workloads.
Transform manually provisioned and managed cloud infrastructure into automated, reusable Infrastructure as Code.
Build automated infrastructure provisioning and deployment capabilities.
Establish repeatable Development, UAT and Production environment patterns.
Design and implement self-service platform capabilities that allow AI/ML, data and engineering teams to consume infrastructure without manual intervention.
Design and support GPU, accelerated computing and high-performance computing infrastructure.
Develop reusable architecture patterns capable of being adopted across multiple business units and operating companies.
Partner with MLOps, DevOps and Site Reliability Engineering teams to establish an integrated enterprise engineering platform.
Embed security, identity, governance, networking and operational requirements directly into reusable platform components and patterns.
Implement CI/CD and Git-based engineering practices for cloud infrastructure and platform development.
Improve developer experience by simplifying infrastructure consumption and significantly reducing provisioning timelines.
Evaluate existing cloud architecture and identify opportunities for automation, standardization and modernization.
Provide technical leadership and architectural direction while remaining highly hands-on with engineering and implementation.
Help establish platform engineering standards, practices, documentation and technical foundations that can be transitioned to a permanent internal engineering organization.
ABOUT THE REQUIREMENTS
Extensive hands-on Microsoft Azure cloud engineering experience within complex enterprise environments.
Strong Infrastructure as Code expertise using Terraform and/or equivalent Azure-native technologies.
Demonstrated experience designing and building reusable enterprise cloud platforms rather than primarily administering existing cloud environments.
Strong cloud architecture and Platform Engineering experience.
Hands-on experience with Kubernetes, containers and container orchestration.
Strong understanding of Azure networking, compute, storage, identity and security services.
Experience designing automated infrastructure provisioning and deployment capabilities.
Experience building reusable infrastructure components, templates, modules and standardized cloud patterns.
Demonstrated experience creating self-service infrastructure or developer platform capabilities.
Strong experience with CI/CD pipelines and Git-based engineering practices.
Strong automation and scripting capabilities.
Experience integrating security, governance and operational controls into cloud platform architecture.
Ability to operate effectively as both a senior technical architect and hands-on engineer.
Demonstrated ability to take ambiguous requirements and translate them into scalable technical solutions.
Strong communication and collaboration skills with the ability to work across infrastructure, cloud, security, DevOps, SRE, data and application engineering teams.
Experience with Azure Machine Learning and related Azure AI/data services.
Experience designing and supporting GPU and accelerated computing environments.
Experience with high-performance computing or scientific computing workloads.
Experience partnering with MLOps teams and supporting machine learning engineering platforms.
Experience working within large, global or federated enterprise environments.
Experience establishing a Platform Engineering capability within an immature, evolving or greenfield cloud environment.
Experience developing reusable cloud architecture patterns intended for adoption across multiple business units or organizations.
Experience improving developer experience through internal developer platforms, self-service infrastructure and automated provisioning.
ABOUT THE ROLE This is a contract opportunity supporting a strategic enterprise AI, data and cloud platform engineering initiative.
This is a senior, highly hands-on engineering position. The successful candidate will serve as one of the foundational members of an evolving Platform Engineering capability and will be expected to both define architecture and personally build the underlying platform components.
We are looking for a platform builder rather than a traditional Azure administrator: someone who has previously entered an immature cloud environment and helped transform it into a standardized, automated and code-driven engineering platform.
AI DISCLOSURE As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams.
APPLY NOW If you are interested in finding out more, please contact us or submit your resume to jobs@systematix.com.
Know someone who would be a great fit? We welcome referrals of qualified candidates and are always interested in connecting with talented technology professionals.
ABOUT SYSTEMATIX Systematix is a Canadian-owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest-caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds.
Systematix. Solutions Focused. People Driven.
Senior DevOps Engineer
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing enterprise AI and Data ecosystem for one of our key clients.
ABOUT THE PROJECT Our client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing and industrial innovation. As investment in AI, machine learning and advanced data capabilities continues to accelerate, the organization is modernizing the engineering practices and automation required to support these workloads at enterprise scale. The primary objective is to eliminate manual infrastructure, build and deployment processes and replace them with automated, repeatable and reliable engineering pipelines. Working closely with Platform Engineering, MLOps and other technical teams, the successful candidate will help establish modern DevOps patterns and standards while remaining highly hands-on in their implementation.
ABOUT THE RESPONSIBILITIES
Design, build and maintain CI/CD pipelines supporting cloud infrastructure, applications and AI/ML workloads.
Implement Infrastructure as Code and automated Azure cloud provisioning.
Create standardized and repeatable Development, UAT and Production deployment patterns.
Automate application and infrastructure testing, validation, deployment and release processes.
Develop reusable engineering tooling, templates and automation components.
Integrate infrastructure and deployment automation with GitHub-based development workflows.
Design and implement GitHub Actions or equivalent CI/CD workflows.
Support containerized applications and workloads using Docker and Kubernetes.
Partner with Platform Engineering teams to automate Azure infrastructure provisioning and deployment.
Partner with MLOps engineers to automate machine learning lifecycle, deployment and operational processes.
Build self-service capabilities that enable development, data science and machine learning teams to deploy and consume technology with minimal manual intervention.
Identify manual engineering processes and replace them with scalable, code-driven automation.
Improve deployment speed, consistency, repeatability, reliability and overall developer experience.
Implement appropriate security, governance and operational controls within automated engineering processes.
Help establish modern SDLC, DevOps, source control, deployment and engineering standards.
Provide technical leadership and recommendations while remaining directly involved in engineering, coding, configuration and implementation.
ABOUT THE REQUIREMENTS
Extensive senior-level DevOps engineering experience within complex enterprise environments.
Strong hands-on experience with Microsoft Azure.
Demonstrated expertise with Infrastructure as Code and automated cloud provisioning.
Strong experience designing, building and maintaining enterprise CI/CD pipelines.
Hands-on experience with GitHub, GitHub Actions or comparable Git-based CI/CD technologies.
Strong experience with Docker, Kubernetes and containerized workloads.
Advanced scripting and automation capabilities.
Strong understanding of modern SDLC, source control, release management and deployment practices.
Experience developing reusable automation, engineering templates, deployment patterns and tooling.
Experience integrating infrastructure automation with application development and deployment workflows.
Demonstrated experience transforming relatively manual or immature engineering environments into automated, repeatable and code-driven platforms.
Strong troubleshooting and problem-solving capabilities.
Ability to operate effectively as both a senior technical advisor and hands-on engineer.
Strong communication and collaboration skills with the ability to work across DevOps, Platform Engineering, MLOps, cloud, security, data and application engineering teams.
PREFERRED QUALIFICATIONS
Experience supporting infrastructure and deployment processes for AI and machine learning workloads.
Experience with Azure Machine Learning and related Azure AI/data services.
Experience working with MLOps engineering practices and machine learning deployment pipelines.
Experience supporting GPU or accelerated computing environments.
Strong Python development or scripting experience.
Experience with Platform Engineering and internal developer platforms.
Experience creating self-service engineering and deployment capabilities.
Experience working within large, global or federated enterprise environments.
Experience helping establish DevOps capabilities, standards and practices within an immature or evolving engineering environment.
ABOUT THE ROLE This is a contract opportunity supporting a strategic enterprise AI, Data and Cloud engineering initiative.This is a senior, highly hands-on engineering role. The successful candidate will help define DevOps architecture, standards and engineering patterns while personally building and implementing the pipelines, automation and tooling required to put those standards into practice.
We are looking for an engineer who naturally approaches manual infrastructure and deployment processes as opportunities for automation and who is equally comfortable defining the solution and sitting down to build it.
AI DISCLOSURE As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams.
APPLY NOW If you are interested in finding out more, please contact us or submit your resume to jobs@systematix.com.
Know someone who would be a great fit? We welcome referrals of qualified candidates and are always interested in connecting with talented technology professionals.
ABOUT SYSTEMATIX Systematix is a Canadian-owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest-caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds.
Systematix. Solutions Focused. People Driven.
Data Reviewer – LC/MS
We are Systematix and we are currently looking for a detail-oriented Data Reviewer – LC/MS to support analytical data review and quality assurance activities for one of our key clients. ABOUT THE PROJECT Our client is a global leader in science and technology, delivering innovative analytical solutions that support research, diagnostics, pharmaceutical development, and laboratory operations around the world. As demand for high-quality analytical data continues to grow, they are seeking an experienced LC/MS professional to support the review, validation, and reporting of complex mass spectrometry datasets. The successful candidate will play a critical role in ensuring the quality, accuracy, and integrity of analytical results by reviewing LC/MS data, evaluating chromatographic performance, and collaborating with scientific teams to support timely project delivery.
ABOUT THE RESPONSIBILITIES
Review LC/MS datasets daily, with a strong focus on peak integration, peak identification, and outlier detection.
Evaluate chromatographic data to ensure analytical accuracy, consistency, and compliance with established quality standards.
Process and review analytical data using software.
Investigate data anomalies and recommend appropriate corrective actions where required.
Verify, document, and communicate analytical results in accordance with internal quality procedures.
Collaborate with laboratory scientists and cross-functional teams to support timely completion of data review and reporting activities.
Maintain accurate documentation and records related to data review activities.
Contribute to the continuous improvement of data review processes, workflows, and best practices.
Support quality assurance initiatives by ensuring the integrity and consistency of analytical results.
ABOUT THE REQUIREMENTS
Minimum of 2 years of hands-on experience in analytical chemistry with a strong emphasis on LC/MS workflows.
Demonstrated experience reviewing LC/MS data, including peak integration, peak evaluation, and outlier analysis.
Hands-on experience using mass spectrometry platforms and related software.
Experience working in high-throughput laboratory environments processing and reviewing large analytical datasets.
Strong understanding of chromatographic principles and mass spectrometry data interpretation.
Knowledge of analytical quality standards and laboratory best practices.
Exceptional attention to detail with a strong commitment to data quality and accuracy.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently while managing multiple priorities in a fast-paced laboratory environment.
PREFERRED QUALIFICATIONS
Experience supporting pharmaceutical, biotechnology, life sciences, or analytical instrumentation organizations.
Experience working within regulated laboratory environments.
Experience supporting continuous improvement and quality assurance initiatives.
Bachelor's degree in Chemistry, Analytical Chemistry, Biochemistry, Life Sciences, or a related scientific discipline.
ABOUT THE ROLE This is a 6-month contract opportunity with a strong likelihood of extension. The role will be performed in a hybrid work environment based in the Greater Toronto Area. The expected pay range for this position is CAD $35–45 per hour (incorporated), depending on experience, qualifications, and overall fit for the role. AI DISCLOSURE As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching, and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams. APPLY NOW If you are interested in finding out more, please contact us or submit your resume to jobs@systematix.com. ABOUT SYSTEMATIX Systematix is a Canadian-owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest-caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds.
