Jobs at Bits In Glass

Designs, builds, and operates secure, scalable GCP data platforms for financial-sector clients. Develops batch and streaming pipelines, architects data lake and warehouse solutions, manages infrastructure through Terraform and CI/CD, and implements governance, security, monitoring, and data quality practices. Collaborates with stakeholders, communicates architecture decisions, mentors engineers, and promotes DataOps and engineering standards.

Leads AI solution architecture across pre-sales, client engagements, and production delivery. Defines scalable reference architectures, evaluates models and frameworks, governs security, data residency, hosting, integrations, cost, latency, and reliability, and mentors AI and data engineers. Remains hands-on with code, prototypes, design reviews, and technical client presentations while shaping proposals and protecting engagement profitability.

Develop and support data migrations, integrations, and synchronizations into Creatio. Lead client discovery, map data models and relationships, build ETL pipelines, cleanse and validate data, troubleshoot database and application issues, and manage delivery through post-deployment support. Collaborate with technical and non-technical stakeholders on architecture, risks, requirements, and implementation. Use SQL, Python, APIs, databases, and integration tools to deliver accurate, secure, and repeatable solutions.

Develop and customize Creatio CRM and process automation solutions using low-code/no-code tools, workflows, UI components, dashboards, and business rules. Support C#/.NET customizations, REST API integrations, testing, deployment, troubleshooting, and post-go-live enhancements. Collaborate with business analysts, architects, clients, and Agile delivery teams while documenting solutions and tracking work in Jira or Azure DevOps.

Gather and document business requirements, translate them into user stories and acceptance criteria, map and optimize processes, and support CRM automation and customization in Creatio. Collaborate with clients and technical teams throughout agile delivery, validate solutions, analyze customer data, support adoption and training, resolve delivery issues, manage change control, and identify future consulting opportunities.

Gather and document business requirements, translate them into user stories and acceptance criteria, map and optimize customer workflows, and support CRM process automation. Configure Creatio using low-code tools, collaborate with technical teams, validate implementations, analyze customer data, and support client adoption, training, and onboarding. Participate in agile sprints, manage change control, identify future consulting opportunities, and deliver customer-focused solutions across enterprise client engagements.

Owns enterprise AI delivery engagements from discovery through weekly releases. Responsibilities include defining measurable outcomes, translating business problems into testable AI requirements, controlling scope on fixed-fee contracts, managing client stakeholders and domain experts, prioritizing backlogs, coordinating demos, tracking delivery health, and surfacing commercial risks. Requires product ownership or delivery experience, software shipping experience, AI literacy, executive presence, regulated-industry experience, Canadian work authorization, and willingness to travel.

Own enterprise client relationships, product scope, AI requirements, acceptance criteria, outcomes, and weekly release cadence. Lead discovery, backlog prioritization, stakeholder alignment, domain expert coordination, delivery health reporting, change adoption, and commercial risk management. The role requires shipping software in regulated industries, understanding LLM capabilities, managing fixed-fee engagements, and communicating with executive stakeholders.

Lead AI architecture across multiple enterprise client engagements, from pre-sales feasibility and technical scoping through production delivery. Govern model hosting, data residency, security, integrations, cost, latency, and reliability. Own reference architectures, accelerators, standards, and technical escalations while remaining hands-on with code and prototypes. Mentor GenAI and data engineers, review designs, support hiring, and represent the company before client architecture and security review boards.

Lead AI architecture across multiple client engagements, shaping solutions during pre-sales and governing designs through delivery. Define model hosting, security, data residency, integration, evaluation, observability, and cost standards. Maintain reference architectures and reusable accelerators, review code and designs, prototype solutions, mentor AI and data engineers, support technical hiring, and represent the company before enterprise architecture and security boards. The role requires hands-on enterprise software and production LLM experience, commercial judgment, and willingness to travel to Canadian client sites.

The Web Platform Support Lead oversees team operations, ensures service quality, manages escalations, facilitates training and leads support processes for the Web Platform Team.

The Web Platform Support Specialist supports internal clients with web content management, ensures service quality, and manages process-related applications while providing training and documentation support.