3Pillar Global

Product Manager

• Work collaboratively with our clients to build and design a broad digital strategy then lead our teams to execute against it.
• Act as the cross-functional product lead of distributed product team members from our delivery centers in the US, LATAM, India, Canada and Romania.
• Work with the engineering leads to manage the overall progress of a project and use of resources, including the initiation of corrective action if required.
• Lead the team to progressively execute against a short-term plan by prioritizing and planning the content and timeline for releases.
• Define product vision, mission, goals, values, and customer segment(s) as the go-to expert for the product.
• Effectively make prioritization trade offs within the confines of product goals.
• Communicate plans, priorities, and status to the client, team members, and internal management as appropriate.
• Measure and improve business and customer value delivered, develop KPIs, monitor progress continuously, and report on milestones and deliverables.
• Maintain a high awareness of industry issues and trends, particularly in regards to accessibility, usability, and emerging technologies, with a view to incorporating these in future projects and staying ahead of the market.

Senior Product Manager – CDP

Backend Engineer

• Facilitate effective communication with client project stakeholders regarding project status and recommendations.
• Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality.
• Actively participate in accurate planning and estimation efforts, utilizing project methods and tools.
• Proficiently gather requirements and organize/present developed features for clients.
• Execute complex activities within the current methodology and quality standards, showcasing success across diverse engagements.
• Promote client success across the team by collaborating with engineers, designers, and managers to understand user pain points, anticipate potential problems, and iterate on solutions that drive client success.
• Engage in agile software development, including daily stand-ups, sprint planning, team retrospectives, and other governance activities.
• Actively participate in the Engineering Practice community, mentoring others through Communities of Practice (CoPs) or on project teams, and supporting the growth of technical capabilities.
• Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.

Senior Fullstack Engineer, .NET

Human Resources

• Operationalize global talent programs across Canada and the US, including onboarding, mentoring, rewards, recognition, and employee engagement initiatives.
• Provide day-to-day guidance to employees regarding general HR queries, company policies, procedures, and local labor laws.
• Support US and Canadian benefits management, including the annual renewal process, market analysis, open enrollment, and complex issue escalation.
• Collaborate closely with the Finance and Payroll teams to prepare and verify specific data required for accurate, timely payroll processing.
• Advise on and direct matters related to compliance and North American employment law; ensure strict adherence to local Labor Code requirements.
• Update, maintain, and audit internal HRIS (Workday) data to ensure data integrity and maximize process efficiency.
• Collaborate with the Global Talent Team on regional and global internal compliance projects.
• Manage full-cycle recruitment for mid-to-senior level positions across multiple departments.
• Develop and execute creative sourcing strategies using a variety of tools (LinkedIn Recruiter, specialized job boards, networking, and referrals).
• Screen, interview, and evaluate candidates for both technical capability and cultural alignment.
• Partner closely with hiring managers to understand evolving role requirements and provide strategic talent acquisition guidance.
• Maintain, audit, and update the Applicant Tracking System (ATS) to ensure data accuracy and compliance.

HR Generalist

Scrum Master

• Coach & Facilitate: Guide the team on Scrum and the Agile Manifesto; facilitate core ceremonies (stand-ups, planning, reviews, retrospectives) in a hands-off style—asking questions and facilitating rather than directing or doing the work.
• Empower & Enable: Build self-managing teams, creating a safe environment that allows teams to fail and improve, driving toward self-sufficiency within a few months.
• Partner with Product: Work in a co-empowering relationship with the Product Owner, coaching them on agile boundaries, backlog ordering, and creating value.
• Metrics & Improvement: Own agile metrics to surface insights that drive continuous improvement; use data evidence to push back constructively on unrealistic delivery dates and protect team flow.
• Stakeholder Management: Manage stakeholders under executive scrutiny, operating confidently within defined escalation pathways to ensure concerns are heard at the right level.
• Continuous Improvement: Stay with teams for the long term, driving sustained focus on maturity and supporting other Scrum Masters across the organization.

Senior Scrum Master, Agile Coach

QA Engineer

• Proven expertise in software quality assurance, with a minimum of 5 years of experience in Agile development environments and a deep understanding of QA methodologies, tools, and processes.
• Experience with automated testing tools and frameworks such as TypeScript, Playwright, JavaScript, Selenium, Cucumber, as well as API testing tools like Postman and REST-assured.
• Proficiency in programming languages: .NET, Groovy and Java.
• Familiarity with CI/CD pipelines and related tools, including Jenkins, and monitoring platforms such as Splunk; experience using the Atlassian suite (JIRA, Bitbucket, Confluence) to manage and track testing activities.
• Excellent analytical and problem-solving abilities, with a keen eye for detail and a methodical approach to troubleshooting.
• Highly organized, self-motivated, and able to manage multiple priorities in a fast-paced, results-driven environment.
• Manage the design, development, and execution of comprehensive testing frameworks that align with the Architect's technology and quality standards. Ensure projects are executed with precision, adhering to established timelines and resource allocations.
• Lead the practical application and optimization of automation frameworks in line with the Architect’s overarching technology roadmap. Drive the adoption of advanced automation tools and practices that enhance testing processes and product quality.
• Act as a pivotal liaison between the QA team and other departments, ensuring seamless integration of QA processes with development and product management workflows. Collaborate with the Architect to ensure QA strategies support organizational goals and product innovation.
• Foster a culture of quality and continuous improvement within the QA team, aligning with the Architect’s vision for excellence. Mentor team members, enhancing their skills and leadership capabilities to meet evolving QA challenges.
• Identify and lead initiatives to improve QA processes, tools, and methodologies under the guidance of the Architect. Encourage innovation within the team, staying informed of industry trends and technologies that can elevate quality assurance practices.
• Maintain a deep understanding of current and emerging QA technologies and methodologies. Share insights with the team and the Architect, ensuring the QA strategy remains at the cutting edge and drives competitive advantage.

Senior Quality Assurance Engineer

• Lead the design and development of backend services and APIs using Python and the Pyramid framework on AWS.
• Architect and manage PostgreSQL schemas, queries, and performance optimizations for clinical-grade data.
• Build and maintain AWS infrastructure including Kubernetes (EKS), Lambda, API Gateway, and cloud-to-cloud integration patterns.
• Define backend coding standards, API design patterns, security best practices, and testing strategies.
• Mentor and guide backend engineers, driving engineering excellence across the team.
• Engage in agile software development including stand-ups, sprint planning, retrospectives, and estimation.
• Independently drive project delivery within defined architecture, demonstrating autonomy from conceptualization to deployment.

Senior Python Backend Engineer

• Facilitate effective communication with client project stakeholders regarding project status and technical recommendations
• Lead the design and development of backend services and APIs using Python and the Pyramid framework on AWS
• Architect and manage PostgreSQL schemas, queries, and performance optimizations for clinical-grade data
• Build and maintain AWS infrastructure including Kubernetes (EKS), Lambda, API Gateway, and cloud-to-cloud integration patterns
• Define backend coding standards, API design patterns, security best practices, and testing strategies
• Mentor and guide backend engineers, driving engineering excellence across the team
• Engage in agile software development including stand-ups, sprint planning, retrospectives, and estimation
• Independently drive project delivery within defined architecture, demonstrating autonomy from conceptualization to deployment

Senior Backend Engineer, Python

SDET

• Design comprehensive test architecture – plan unit, integration, E2E, and semantic validation test suites that cover the full pipeline from profile intake through roadmap generation; define coverage targets and acceptance criteria
• Build semantic validation harnesses for AI outputs – design golden-set test cases (5–8 CISO-approved reference profiles) that measure AI stage precision/recall, rigor-tier correctness, floor-control invariants, traceability completeness, and run-to-run stability; a semantic regression blocks merge
• Implement access-control testing – design automated probes at API and database layers that verify cross-tenant isolation; simulate compromised sessions and verify RLS policies enforce tenant boundaries
• Design and maintain CI/CD quality gates – build automated test runners that execute on every commit: unit tests, integration tests, schema validation, migration guards, image scanning, access-control probes; red builds block merge
• Lead test automation practices – expand automation frameworks and practices; identify opportunities for improving test processes; recommend tools and technologies for testing efficiency
• Collaborate across the team – serve as the QA voice in technical design reviews; flag testability issues early; work with the AI/LLM Lead to define what "correct" means for each pipeline stage
• Mentor junior test engineers – guide the team on test design, semantic validation, and CI/CD best practices; share knowledge on testing AI systems where reproducibility is critical
• Own test documentation and reporting – maintain clear test plans, results, and traceability matrices; report test coverage and quality metrics to leadership; communicate blockers and risks transparently

Senior QA Automation Engineer, Python, Selenium, Pytest

Solutions Engineer

• Design, build, and deploy intelligent backend services using Python and Azure AI Foundry.
• Consume Force Account outputs by API, ensuring the system can accurately display and act on data classification and extraction.
• Engineer and optimize Retrieval-Augmented Generation (RAG) pipelines over Standard Operating Procedures (SOPs) to provide contextual, accurate, and actionable insights to users.
• Deliver assistive intelligence directly on the case, seamlessly integrating AI outputs into the end-user's workflow.
• Design and strictly enforce a redact-before-model discipline, ensuring that all Personally Identifiable Information (PII) is stripped from payloads before data ever reaches a foundational model.
• Collaborate with product, design, and engineering teams to shape AI features and translate business goals into technical execution.
• Proactively identify AI-driven automation and product improvement opportunities, building prototypes to prove value.
• Mentor junior engineers and champion secure, responsible AI coding practices within your team.
• Troubleshoot AI-specific technical challenges, including prompt injection risks, model latency, and data leakage.
• Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage.
• Actively evaluate emerging LLM tooling, agentic frameworks, and open-source developments for applicability to client engagements.
• Own the architecture of the team's agentic and LLM systems — agent orchestration, tool integration (e.g., Model Context Protocol), retrieval, and human-in-the-loop design.
• Design and implement evaluation frameworks for LLM and agentic systems — covering correctness, boundary, and intent checks — as a standard part of delivery.
• Drive adoption of the agentic SDLC across the team: select and roll out AI engineering tools, define usage and governance standards, and measure their impact on delivery velocity and quality.
• Establish responsible-AI and evaluation frameworks for agentic systems — guardrails, safety testing, human oversight, and model governance.

Lead AI Integration Engineer

Cloud Engineer

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards.
• Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities.
• Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Lead Azure Data Engineer

Full-stack Engineer

• End-to-End Delivery: Build, configure, and extend applications on the Unqork platform, owning feature delivery from technical design to a successful launch. Identify opportunities and design solutions that positively impact customer adoption.
• Client Leadership & Stakeholder Management: Serve as the primary technical contact for client stakeholders during US business hours. Navigate dynamics with professionalism, managing expectations and executive-level communication with senior client leadership.
• Architectural Collaboration: Collaborate closely with the Architect to implement designs and architectural decisions, escalating risks or blockers proactively while ensuring solutions align with scalable BFF (Backend-for-Frontend)/proxy architectures.
• Global Team Coordination: Coordinate with distributed, offshore development team members across multiple time zones, providing crucial context, guidance, and thorough code/configuration reviews.
• Agile Execution & Documentation: Participate actively in Agile ceremonies and sprint planning. Contribute to technical artifacts and knowledge transfer materials to ensure long-term project sustainability.

Senior Product Manager – CDP

Senior Fullstack Engineer, .NET

HR Generalist

Senior Scrum Master, Agile Coach

Senior Quality Assurance Engineer

Senior Python Backend Engineer

Senior Backend Engineer, Python

Senior QA Automation Engineer, Python, Selenium, Pytest

Lead AI Integration Engineer

Lead AI Integration Engineer

Lead AI Integration Engineer

Senior QA Automation Engineer, Python, Selenium, Pytest

Senior QA Automation Engineer, Python, Selenium, Pytest

Lead Azure Data Engineer

Senior Software Engineer – Low Code, No Code