Jobs at Symbiotic Group Inc.

Design, build, and maintain secure, scalable RESTful APIs and microservices using Java and Spring Boot. Implement integrations, data transformations, authentication (OAuth2/JWT/SAML), automated tests, containerization (Docker/Kubernetes), and monitoring. Resolve production issues, participate in on-call support, mentor juniors, and produce technical documentation and deployment guides.

Lead business analysis for complex healthcare IT initiatives: gather and validate requirements, create models and business cases, drive process re-engineering, support testing and UAT, and manage stakeholder engagement through project phases to ensure alignment with governance and enterprise architecture.

Design, implement, maintain, and optimize enterprise database environments across on‑prem and cloud. Perform installations, migrations, upgrades, performance tuning, capacity planning, backup/recovery and disaster recovery. Ensure database security, policy enforcement, integrations, and support hybrid cloud migrations. Troubleshoot complex issues and contribute to architecture and operational best practices.

Lead end-to-end delivery of Azure cloud application projects, manage timelines, scope, risks, budgets, quality, governance, and stakeholder communications. Coordinate cross-functional teams, ensure sprint execution and compliance with cloud/security/enterprise standards. Deliver Windows Server upgrades and produce executive reporting while driving cost-effective, on-time solutions.

Lead QA efforts across the product lifecycle: develop test strategies and plans, execute manual and automated tests (including AODA and performance testing), manage defects and triage, support UAT, prepare test data and SQL-based data validation, review specs, and document testing artifacts while collaborating with developers and stakeholders to ensure enterprise system quality.

Lead development and execution of comprehensive test strategies and plans. Create and run test cases, perform end-to-end, integration, regression, performance, load, security, and UAT/PAT testing. Triage and document defects, validate fixes, support release activities, and collaborate with BA, IT teams, and stakeholders to ensure mission-critical solution quality.

Lead business analysis for technology and business initiatives: gather and document requirements, model processes and data, produce business cases, support Agile delivery and backlog management, convert requirements into user stories, engage stakeholders, support user testing, and monitor project progress to ensure solutions meet business needs.

Lead QA activities across enterprise systems: plan testing strategy, develop and execute test plans/scripts (manual and automated), perform functional/integration/performance/accessibility testing, track defects, integrate automation into CI/CD, validate data and support migrations, and collaborate with cross-functional teams through SDLC and Agile ceremonies.

The Senior Data Engineer designs, builds, and maintains data pipelines and ensures data quality controls while supporting data analytics and reporting needs.

This role involves managing the Indigenous Learning Series project, coordinating logistics, creating communication materials, and collaborating with stakeholders to ensure project success.

Lead planning and delivery of complex public-sector projects using PMI and Agile. Manage scope, schedule, budget, risks, vendors, and cross‑functional teams. Drive stakeholder engagement, change management, accessibility and regulatory compliance, and executive reporting.

Lead requirements analysis and act as liaison between stakeholders and vendors to deliver a Salesforce-based Funding Management System. Create user stories, manage backlog, support Agile ceremonies, perform UAT, build process flows, test cases, and documentation, and support enterprise CRM roadmap and knowledge transfer.

Lead business analysis for large-scale public sector IT implementations: elicit and document requirements, run design workshops, produce BRDs and RTMs, translate requirements to JIRA, plan and execute testing (UAT, integration, performance), coordinate defect triage, and deliver analytical reports and process improvements.

Provide business analysis for complex IT initiatives: gather and manage requirements, create diagrams and user stories, conduct process reengineering, support solution design, lead stakeholder workshops, and contribute to digital transformation and performance measurement.

Lead QA activities including test strategy, plan and case development; execute functional, regression, performance, security, load, integration, UAT and PAT testing; document defects and retest; support production readiness and reporting; collaborate with BAs, IT and PMs; troubleshoot, perform manual and automated testing, and validate multi-platform solutions in mission-critical environments.

Provide operational support for hosted Java enterprise applications: incident triage and resolution, service request fulfillment, change and configuration management, middleware and container hosting support, reporting and trend analysis, and stakeholder collaboration to implement operational initiatives.

Lead and execute automated and manual testing for large enterprise systems. Develop testing strategies, plans, scripts, and test data. Perform integration, performance, stress, and UAT testing, track defects, and produce QA documentation while collaborating with technical and business teams throughout the SDLC.

Lead Oracle database migration and modernization efforts across on-prem and cloud environments. Design, implement, and tune multi-tenant Oracle databases (10g-19c+), configure advanced features (Data Guard, RAC, TDE, OEM), perform backup/recovery, troubleshoot complex issues, ensure security/compliance, and document/transfer knowledge to stakeholders.

Lead QA activities including test planning, case development, execution, regression, performance, security, and UAT/PAT. Document defects, support production readiness, collaborate with analysts, IT, and project teams, and report test findings for multi-platform solutions.

Lead requirements, data modelling, mapping, and governance for a large enterprise data warehouse. Gather and validate business, functional, and data requirements; define target data structures, source-to-target mappings, data lineage, and integration requirements; support data quality, metadata standards, and analytics-ready datasets. Facilitate stakeholders, document deliverables, and enable knowledge transfer.