The Database Administrator is responsible for the reliability, performance and security of Accanto Health's Azure data platform, which integrates data from the electronic health record, Salesforce and financial systems to support enterprise reporting and analytics.
Compensation
$150,414- $184,970 commensurate with experience
Responsibilities
Administer Azure SQL and data warehouse environments
Ensure reliability of data ingestion from source systems
Tune database and reporting performance
Safeguard protected health information in accordance with HIPAA
Own indexing, statistics and partitioning strategy for large tables
Requirements
Bachelor’s degree in information technology, Healthcare Administration, Health Information Management, Healthcare Informatics, Computer Science, Business, or related field
Associate Degree and 7 years equivalent experience
Nice to have: Microsoft Fabric
Nice to have: Synapse
Nice to have: Healthcare (EHR or revenue cycle) experience
Support the day-to-day administration, organization, and governance of Vaniam Group’s Egnyte environment, managing user permissions, folder structures, and responding to data governance and compliance alerts.
Responsibilities
Process user access and folder permission requests
Create, modify, and remove access based on approved requests
Apply role-based and group-based permissions following least-privilege principles
Support onboarding, offboarding, and changes to user access
Conduct periodic permission reviews and identify outdated or unnecessary access
Requirements
Direct, hands-on experience administering Egnyte is strongly preferred
The Database Administrator is responsible for the reliability, performance and security of Accanto Health's Azure data platform, which integrates data from the electronic health record, Salesforce and financial systems to support enterprise reporting and analytics.
Compensation
$150,414- $184,970 commensurate with experience
Responsibilities
Administer Azure SQL and data warehouse environments
Ensure reliability of data ingestion from source systems
Tune database and reporting performance
Safeguard protected health information in accordance with HIPAA
Own platform reliability end to end, including escalation and incident response
Requirements
Bachelor’s degree in information technology, Healthcare Administration, Health Information Management, Healthcare Informatics, Computer Science, Business, or related field preferred
Associate Degree and 7 years equivalent experience
Responsible for the efficient and effective management of data assets, designing and implementing data management strategy and processes, establishing governance policies, overseeing implementation of data management tools and technologies, and collaborating with stakeholders to understand data requirements.
Responsibilities
Install, configure, and maintain database systems while applying patches and updates to ensure optimal performance.
Monitor database health, performance, and capacity, implementing strategies for efficient storage and resource utilization.
Develop and execute backup and restore procedures to maintain data integrity and support disaster recovery.
Ensure database security, user access controls, and compliance with regulatory requirements and standards.
Analyze queries, optimize performance, and maintain indexes and statistics for efficiency.
Requirements
High School Diploma/GED
Bachelor’s Degree in Computer Science, Information Systems, or related field
Nice to have: Bachelor’s Degree in Computer Science, Information Systems, or related field
Drive the evolution of a modern cloud and DevOps platform, taking ownership of platform engineering initiatives focusing on automation, Infrastructure as Code, CI/CD, and scalable self-service capabilities using Microsoft Azure.
Responsibilities
Develop and operate the Azure cloud platform using Terraform, implementing modern testing, staging, and deployment approaches
Automate recurring infrastructure and operational processes to improve efficiency and reduce manual intervention
Expand self-service capabilities and provide standardized platform services for internal engineering teams
Build and maintain reusable platform components, infrastructure images, and database offerings to support efficient workload migrations
Implement and enforce cloud security, governance, and compliance requirements across the platform
Drive the evolution of a modern cloud and DevOps platform, taking ownership of platform engineering initiatives focusing on automation, Infrastructure as Code, CI/CD, and scalable self-service capabilities.
Responsibilities
Develop and operate the Azure cloud platform using Terraform, implementing modern testing, staging, and deployment approaches.
Automate recurring infrastructure and operational processes to improve efficiency and reduce manual intervention.
Expand self-service capabilities and provide standardized platform services for internal engineering teams.
Build and maintain reusable platform components, infrastructure images, and database offerings to support efficient workload migrations.
Implement and enforce cloud security, governance, and compliance requirements across the platform.
The Senior Director will define and lead the governance, risk, and compliance strategy for an enterprise platform operating in highly regulated environments.
Compensation
Target annual base salary ranging from $164,500 to $258,500 USD.
Responsibilities
Own and continuously evolve the platform governance product strategy across three core pillars: Governance, Control, and Administration
Drive governance strategy with particular emphasis on financial services requirements, including banking, lending, credit decisioning, and consumer finance environments
Champion a comprehensive controls model focused on preventing risks, making informed control decisions, and continuously validating that controls remain effective
Promote enterprise-wide adoption of governance standards and practices across platform services and senior leadership stakeholders
Serve as the primary strategic liaison for C-suite executives, legal teams, and risk stakeholders
Requirements
Bachelor's degree in engineering, computer science, or a related discipline
Master's degree in engineering, computer science, or a related discipline
As a Senior Software Engineer II, you will play a key role in designing, scaling, and evolving the core platform infrastructure that powers multiple product teams. You will join a highly collaborative engineering environment, building critical systems for approval workflows, permissions, authentication, and notifications. Beyond hands-on development, you will provide technical leadership, drive complex cross-functional initiatives, and establish engineering best practices.
Compensation
Competitive annual salary ranging from CAD 183,000 to CAD 251,500, depending on geographic compensation zone and qualifications.
Responsibilities
Own the design, development, and continuous improvement of shared platform systems, including approval workflow engines, customer and employee permissions, authentication, and notification services.
Design and evolve complex software architectures, prioritizing simplicity, scalability, maintainability, and backward compatibility.
Lead complex, multi-stakeholder engineering initiatives, coordinating contributions across teams and ensuring projects remain aligned with technical and business priorities.
Build strong relationships with business stakeholders and cross-functional partners to establish shared objectives and deliver effective technical solutions.
Identify at-risk projects, address delivery challenges, and take ownership of initiatives requiring additional technical direction or coordination.
Act as a trusted technical advisor and hands-on engineering expert, helping enterprise customers design, implement, and scale advanced agentic AI solutions.
Compensation
Competitive compensation: Attractive remuneration package aligned with your skills and professional experience.
Responsibilities
Own the technical success of enterprise customers' agentic AI initiatives, managing the complete delivery lifecycle from initial discovery and solution design through development, production deployment, ongoing operations, and advisory services.
Lead customer workshops to identify, assess, and prioritize high-value agentic AI use cases, translating business objectives into measurable and technically achievable workflows.
Design and implement sophisticated multi-agent architectures, including agent decomposition, orchestration, task delegation, tool integration, memory management, state handling, and human-in-the-loop controls.
Develop, review, and troubleshoot production-quality software using Go or Python, building agents, plugins, tools, and integrations that meet enterprise requirements.
Deploy and operate agentic AI applications using Docker, Kubernetes, and major cloud platforms, ensuring scalability, reliability, and maintainability.
Requirements
Relevant certifications, such as AWS Certified Machine Learning or Generative AI, Azure AI Engineer Associate, or Google Professional Machine Learning Engineer
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