Quantiphi

Manager

• Client Management: Managing customer communication, relationships and escalation management. Guide the client on technology evaluation, technical thought leadership and direction for data and analytics projects. Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals. Showcase thought leadership on technology roadmaps, agile development methodologies and best practices. Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions.
• Project Delivery: Own the complete project lifecycle by managing the solutioning, engineering, testing, release and maintenance. Lead engagements with multiple work-streams; prepare project plans and manage deliverables. Guide and help team members to debug and solve technical problems. Project deliverables reviews and follow through till issues closure. Conflict resolution and dependency management.
• Team management: Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers. Ensure proper skill development of team members. Travel to customer sites, conferences, and other related events as required.

Engagement Manager

Data Engineer

• Lead and guide the design and implementation of scalable streaming data pipelines.
• Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming.
• Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset.
• Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies.
• Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads.
• Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment.
• Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response.
• Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work.

Backend Engineer

• Design and implement new, customer-specific functionality within our core PHP application.
• Maintain and refactor 'old-school' procedural and object-oriented PHP code.
• Write complex SQL queries, optimize schemas, and manage data integrity across PostgreSQL and MySQL environments.
• Help manage and deploy code to unique customer environments within an AWS-based architecture.
• Manually implement security best practices (e.g., preventing SQL injection, XSS, and CSRF).
• Partner with project managers and the core dev team to ensure customizations align with the long-term product roadmap.

Senior PHP Developer

• Design and implement complex, multi-step LLM workflows and "chains" to automate business logic.
• Build and maintain high-performance backend services using either Java or Python.
• Containerize and deploy services to Kubernetes (AKS), ensuring they are resilient and scalable.
• Connect backend services with various AI providers (OpenAI, Azure AI, Anthropic, etc.) and Vector Databases.
• Implement monitoring and logging specifically for AI workloads to track model performance, latency, and "hallucination" rates.

Senior Backend Engineer – AI, LLM Integration

Business Analyst

• Deliver projects in digital transformation initiatives, including cloud technologies, AI, and automation
• Collaborate with teams and clients to define long-term vision, goals, and strategies
• Implement problem-solving procedures to enhance efficiency in resolving customer issues
• Deep understanding of Pharma Value Chain, regulatory requirements and compliance standards
• Ability to manage change effectively and drive adoption of new solutions
• Lead and motivate teams to achieve project objectives
• Develop data-driven solutions to address business challenges
• Clearly articulate and document business requirements, functional specifications, and user stories

Senior Business Analyst – Life Sciences

Security Engineer

• Design, build, and secure AWS platform infrastructure using IaC (CloudFormation / Terraform).
• Implement and manage security controls across AWS environments (IAM, KMS, Secrets Manager, Network Firewall).
• Build automated security guardrails and compliance checks using AWS Security Hub, Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines, including automated policy checks, vulnerability scans, and artifact integrity validation.
• Implement centralized logging and monitoring using CloudWatch, SIEM tools, GuardDuty, and VPC Flow Logs.
• Collaborate with application and DevOps teams to define secure architecture patterns, network segmentation, and zero-trust controls.
• Conduct regular security assessments, risk reviews, and threat modeling for workloads hosted on AWS.
• Enforce tagging standards, data-classification controls, and lifecycle policies across AWS resources.
• Support incident response activities, root-cause analysis, remediation planning, and post-incident improvements.
• Document platform security design, runbooks, best practices, and alignment with enterprise security standards.
• Manage and integrate security tools such as SIEM, DLP, Cloud Proxy, CASB, or Isolation systems when relevant to AWS workloads.
• Provide training and guidance to engineering teams on secure AWS usage, identity governance, and least-privilege access.
• Travelling to client location as needed.
• Experience integrating AWS environments with Security Operations Centers (SOC) for real-time alerting, threat detection, and incident escalation workflows.

Architect – Platform, Security Specialist

• Design and implement scalable data architecture on Azure and Databricks based on business and technical requirements.
• Develop data integration solutions to ingest data from various structured/unstructured sources into Azure/Databricks, ensuring quality and consistency.
• Choose and implement appropriate data storage solutions (ADLS, Synapse, Databricks Delta Lake) optimized for performance and cost.
• Implement and optimize data processing pipelines using ADF, Databricks, Synapse, or other Azure-native services.
• Plan, execute, and oversee data migration projects, including migrations from on-premises and other cloud environments to Azure.
• Establish and enforce data governance and security policies, ensuring compliance with regulatory and industry standards.
• Monitor and fine-tune data pipelines for performance, cost optimization, and scalability.
• Create data models aligned to client solution requirements.
• Prepare detailed architecture documents, solution blueprints, and provide training/knowledge transfer to team members.
• Collaborate with cross-functional teams—data engineers, architects, analysts, SMEs—to ensure alignment with business needs.
• Manage project scoping, planning, execution, risk tracking, and ensure on-time delivery of data initiatives.
• Communicate effectively with non-technical stakeholders, explaining migration strategies, architectural decisions, and business benefits.

Technical Architect – Data, Azure

• Design, develop, and maintain scalable batch and streaming data pipelines using PySpark, SQL, and modern data engineering frameworks
• Perform deep-dive analysis into complex source systems to define extraction patterns, transformation logic, and integration workflows
• Implement data models optimized for analytics, performance, and operational excellence
• Build and manage data systems across AWS or GCP cloud environments, ensuring reliability, scalability, and cost efficiency
• Lead and participate in design reviews, provide mentorship to junior engineers, and take ownership of code quality and engineering best practices
• Collaborate with cross-functional teams including architects, analysts, product, and platform engineers to deliver high-quality data solutions
• Troubleshoot performance bottlenecks, optimize data processing workflows, and improve pipeline robustness

Senior Data Engineer

• Designing and implementing data architecture in Azure
• Developing data integration solutions to bring data from various sources into Azure
• Choosing and implementing appropriate Azure data storage solutions
• Implementing data processing solutions using Azure services
• Planning, executing, and overseeing data migration projects
• Establishment and enforcement of data governance policies
• Monitoring data solutions for performance and cost
• Creating data models
• Documentation for data architecture and solutions
• Collaboration with cross-functional teams
• Managing data-related projects

Technical Architect – Data – Azure

• Design, build, and secure AWS platform infrastructure using IaC (CloudFormation / Terraform).
• Implement and manage security controls across AWS environments (IAM, KMS, Secrets Manager, Network Firewall).
• Build automated security guardrails and compliance checks using AWS Security Hub, Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines, including automated policy checks, vulnerability scans, and artifact integrity validation.
• Implement centralized logging and monitoring using CloudWatch, SIEM tools, GuardDuty, and VPC Flow Logs.
• Collaborate with application and DevOps teams to define secure architecture patterns, network segmentation, and zero-trust controls.
• Conduct regular security assessments, risk reviews, and threat modelling for workloads hosted on AWS.
• Enforce tagging standards, data-classification controls, and lifecycle policies across AWS resources.
• Support incident response activities, root-cause analysis, remediation planning, and post-incident improvements.
• Document platform security design, runbooks, best practices, and alignment with enterprise security standards.
• Manage and integrate security tools such as SIEM, DLP, Cloud Proxy, CASB, or Isolation systems when relevant to AWS workloads.
• Provide training and guidance to engineering teams on secure AWS usage, identity governance, and least-privilege access.
• Experience integrating AWS environments with Security Operations Centers (SOC) for real-time alerting, threat detection, and incident escalation workflows.

Platform Architect – Security Specialist

Architect

• Architecting, deploying and maintaining AWS Cloud based infrastructure services
• Cloud Migration Expertise with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures
• Design, build, and secure AWS platform infrastructure using IaC (CloudFormation / Terraform)
• Implement and manage security controls across AWS environments (IAM, KMS, Secrets Manager, Network Firewall)
• Implement centralized logging and monitoring using CloudWatch, SIEM tools, GuardDuty, and VPC Flow Logs
• Collaborate with application and DevOps teams to define secure architecture patterns, network segmentation, and zero-trust controls
• Conduct regular security assessments, risk reviews, and threat modelling for workloads hosted on AWS
• Support incident response activities, root-cause analysis, remediation planning, and post-incident improvements

Associate Architect – Platform, VMware Migration Specialist

AI Engineer

• Architect and design enterprise-scale agentic AI platforms, frameworks, and multi-agent workflows
• Create modular, interoperable, and future-ready AI architectures that integrate seamlessly with existing enterprise systems
• Lead design of LLM-based applications, RAG systems, multi-agent planning, and autonomous process automation
• Establish architectural standards, design patterns, and reusable components for AI/ML workloads
• Oversee end-to-end implementation of AI/ML and agentic systems, including data pipelines, model training, evaluation, and deployment
• Work closely with engineering teams to ensure delivery of high-performance, scalable, and cost-optimized AI workloads
• Provide technical leadership for model fine-tuning, orchestration, guardrails, and inference optimization
• Design secure, compliant, and policy-aligned AI systems with strong guardrails, monitoring, and fallback mechanisms
• Integrate AI agents and LLM-driven solutions into enterprise applications, APIs, workflow engines, and automation tools
• Define governance frameworks for model lifecycle management, reliability, safety, and performance tracking
• Work with business and technology leaders to translate strategic goals into actionable AI roadmaps
• Advise on platform choices, toolchains, and cloud/edge deployment patterns
• Prepare technical documents, architectural blueprints, and decision frameworks for leadership
• Guide data scientists, ML engineers, and developers on solution design, implementation, and best practices
• Conduct reviews, coach teams, and ensure adherence to ML engineering and MLOps standards

Senior ML/AI Architect

Sales

• Drive Quantiphi’s growth across the Toronto market
• Build and execute the regional go-to-market strategy
• Develop a high-performing sales organization
• Strengthen key partnerships—especially within the Google Cloud ecosystem
• Cultivate executive-level relationships with clients, channel partners, and industry stakeholders
• Lead end-to-end sales cycles, oversee pipeline development, and drive operational excellence
• Ensure strong collaboration across global teams
• Shape Quantiphi’s brand in the market and champion innovation

Regional Sales Leader

SDET

• Design and implement comprehensive test automation strategies using Playwright and other tools
• Develop robust, scalable test automation frameworks for web and API testing
• Establish coding standards and best practices for test automation code
• Create and maintain test automation documentation and guidelines
• Develop end-to-end test suites using Playwright for complex web applications
• Implement API testing frameworks and integrate with existing automation suites
• Set up and maintain CI/CD integration for automated test execution
• Mentor Java, .NET, and Node.js developers on testing best practices
• Conduct code reviews for test automation code and provide technical guidance
• Collaborate with development teams to implement shift-left testing practices
• Present test automation strategies and results to client stakeholders

Senior Test Automation Engineer

Account Manager

• Responsible for driving growth and expanding our footprint within key accounts in the utility and energy sector
• Engage with senior leadership and key stakeholders to drive revenue growth, accelerate innovation, and build long-term strategic partnerships across the energy and utilities ecosystem
• Lead and manage the full sales cycle for utility-sector clients, from prospecting through contract negotiation
• Build, strengthen, and expand executive-level relationships (C-Suite, VP, Director) across utility organizations
• Develop and execute a strategic account growth plan, aligning Quantiphi’s solutions with client priorities and long-term business objectives
• Identify, qualify, and pursue new business opportunities by positioning Quantiphi’s AI, machine learning, data analytics, and cloud capabilities
• Shape Quantiphi’s utilities go-to-market strategy, including solution offerings, packaged accelerators, technical enablement, and market engagement programs
• Conduct collaborative ideation and strategy workshops with client stakeholders and internal teams