Senior Cloud Infrastructure Engineer at Signal 1

📍 Job Overview

Job Title: Senior Cloud Infrastructure Engineer
Company: Signal 1
Location: Toronto, Ontario, Canada
Job Type: Hybrid
Category: DevOps Engineer
Date Posted: 2025-06-18
Experience Level: 5-10 years

🚀 Role Summary

Design and implement stable Azure-based infrastructure for healthcare AI services.
Create automation tools for deployment and system monitoring.
Collaborate with development and data science teams to improve delivery processes.
Ensure system reliability, security, and compliance.
Troubleshoot complex technical issues and provide client support.
Research and integrate useful technologies to enhance the platform.
Share on-call responsibilities for system support.

📝 Enhancement Note: This role requires a balance of technical expertise and collaboration skills, with a strong focus on Azure services and healthcare AI solutions.

💻 Primary Responsibilities

Infrastructure Design & Implementation: Architect and deploy Azure-based infrastructure for healthcare AI services, ensuring scalability, reliability, and security.
Automation & Monitoring: Develop automation tools for deployment and system monitoring using Azure services, Kubernetes, and Istio service mesh.
Cross-Team Collaboration: Work closely with development and data science teams to streamline delivery processes, improve system performance, and integrate machine learning models.
Security & Compliance: Apply security standards and compliance requirements, such as HIPAA and SOC2, to protect sensitive healthcare data.
Troubleshooting & Support: Diagnose and resolve complex technical issues, ensuring minimal downtime and optimal system performance.
Client Communication: Liaise with healthcare clients to understand their technical needs and provide support for their AI solutions.
On-Call Responsibilities: Share on-call duties to ensure 24/7 system support and quick resolution of any emerging issues.

📝 Enhancement Note: This role requires a deep understanding of Azure services and a proactive approach to system monitoring, troubleshooting, and optimization.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science or a comparable educational background with relevant work experience.

Experience: Over 5 years of relevant Cloud or DevOps experience, with a strong focus on Azure services and healthcare technology.

Required Skills:

Azure Services: Proficiency in Azure services, including AKS, Azure AD, PostgreSQL, Monitor, and Storage.
Kubernetes & Service Mesh: Experience with Kubernetes, Istio service mesh, and Helm for container orchestration and service management.
Scripting: Ability to write effective Python and Bash scripts for automation and system management.
Infrastructure-as-Code: Knowledge of infrastructure-as-code using Terraform and Terragrunt for version control and automated deployment.
Continuous Integration: Experience implementing continuous integration with GitHub Actions.
Troubleshooting: Proven ability to troubleshoot and resolve complex technical issues.
Monitoring Tools: Familiarity with monitoring tools like Azure Monitor and Datadog.

Preferred Skills:

Compliance Frameworks: Familiarity with compliance frameworks such as HIPAA and SOC2.
Machine Learning Support: Background supporting machine learning applications in production.
Healthcare Technology: Previous work experience in healthcare technology.

📝 Enhancement Note: Candidates with a strong background in Azure services, healthcare technology, and machine learning support will be well-suited for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Azure Infrastructure Projects: Demonstrate your ability to design and implement stable Azure-based infrastructure for various services, highlighting scalability, reliability, and security considerations.
Automation & Monitoring Projects: Showcase your experience in creating automation tools for deployment and system monitoring, using tools like Azure Monitor, Datadog, and custom scripts.
Collaboration & Support Projects: Highlight your experience working with development and data science teams to improve delivery processes and provide client support for AI solutions.

Technical Documentation:

System Architecture & Design: Document your approach to system architecture and design, demonstrating your understanding of Azure services, Kubernetes, and Istio service mesh.
Automation & Deployment Processes: Detail your automation and deployment processes, including version control, automated deployment, and continuous integration with GitHub Actions.
Security & Compliance: Explain your approach to security and compliance, including the application of relevant frameworks like HIPAA and SOC2.

📝 Enhancement Note: A strong portfolio demonstrating Azure infrastructure projects, automation tools, and collaboration with development teams will be essential for this role.

💵 Compensation & Benefits

Salary Range: The estimated salary range for a Senior Cloud Infrastructure Engineer in Toronto, Ontario, with 5-10 years of experience, is CAD 120,000 - CAD 160,000 per year. This estimate is based on regional market data and industry standards for similar roles in the healthcare technology sector.

Benefits:

Competitive health, dental, and vision insurance plans.
Retirement savings plan with company matching.
Generous time off policies, including vacation, sick leave, and paid holidays.
Professional development opportunities, including training, conferences, and certifications.
A dynamic and collaborative work environment with a focus on innovation and continuous learning.

Working Hours: This role follows a standard 40-hour workweek, with flexibility for on-call responsibilities and project deadlines. Working hours may vary based on team needs and system support requirements.

📝 Enhancement Note: The provided salary range is an estimate based on regional market data and industry standards. Actual compensation may vary based on individual qualifications, experience, and company-specific factors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Signal 1 operates in the healthcare technology industry, focusing on AI management systems and AI governance for healthcare organizations. This role will play a crucial part in ensuring the reliable and secure deployment of AI solutions, enabling healthcare systems to unlock the value of their AI investments while managing risk.

Company Size: Signal 1 is a growing healthcare technology company, providing ample opportunities for professional growth and career development within the team.

Founded: Signal 1 was founded in 2019, with a mission to empower healthcare organizations to translate AI innovation into real clinical, operational, and financial outcomes.

Team Structure:

The Cloud Infrastructure team works closely with development, data science, and product management teams to ensure the reliable and secure deployment of AI solutions.
The team follows Agile methodologies, with regular sprint planning, code reviews, and quality assurance practices.
The team structure promotes cross-functional collaboration, with a focus on knowledge sharing, technical mentoring, and continuous learning.

Development Methodology:

Agile/Scrum: The team follows Agile/Scrum methodologies, with regular sprint planning, daily stand-ups, and sprint retrospectives.
Code Review & Quality Assurance: The team emphasizes code review, testing, and quality assurance practices to ensure the reliability and performance of AI solutions.
Deployment Strategies: The team employs CI/CD pipelines and automated deployment strategies to streamline the release process and minimize manual intervention.

Company Website: Signal 1

📝 Enhancement Note: Signal 1's focus on healthcare technology and AI management systems presents unique challenges and opportunities for the Senior Cloud Infrastructure Engineer role.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, requiring a deep understanding of Azure services, Kubernetes, and healthcare technology. The role involves significant technical influence on AI solutions, user experience, and infrastructure decisions.

Reporting Structure: The Senior Cloud Infrastructure Engineer reports directly to the Senior Manager, Cloud Infrastructure, and works closely with development, data science, and product management teams.

Technical Impact: The role has a significant technical impact on AI solutions, user experience, and infrastructure decisions, ensuring the reliable and secure deployment of healthcare AI services.

Growth Opportunities:

Technical Leadership: This role offers opportunities for technical leadership, mentoring, and architecture decision-making within the Cloud Infrastructure team.
Career Progression: With a strong performance, the role may lead to opportunities for promotion to a Principal or Director-level position within the team.
Emerging Technology Adoption: The role provides opportunities to research and integrate emerging technologies, staying at the forefront of healthcare AI solutions and Azure services.

📝 Enhancement Note: This role presents significant growth opportunities for technical leadership, career progression, and emerging technology adoption within the healthcare technology sector.

🌐 Work Environment

Office Type: Signal 1 offers a hybrid work environment, combining the benefits of remote work with in-office collaboration and team-building opportunities.

Office Location(s): The primary office location for this role is in Toronto, Ontario, Canada, with flexible remote work options available.

Workspace Context:

Collaborative Workspace: The hybrid work environment encourages collaboration and knowledge sharing between team members, fostering a culture of continuous learning and innovation.
Development Tools & Resources: The team provides access to the necessary development tools, multiple monitors, and testing devices to ensure optimal productivity and performance.
Cross-Functional Collaboration: The team works closely with development, data science, and product management teams, promoting cross-functional collaboration and user-centered design.

Work Schedule: The role follows a standard 40-hour workweek, with flexibility for on-call responsibilities, deployment windows, and project deadlines. Working hours may vary based on team needs and system support requirements.

📝 Enhancement Note: Signal 1's hybrid work environment promotes collaboration, knowledge sharing, and continuous learning, with a focus on user-centered design and innovation.

📄 Application & Technical Interview Process

Interview Process:

Technical Screening: A technical phone or video screen to assess your understanding of Azure services, Kubernetes, and healthcare technology.
Coding Challenge: A hands-on coding challenge focused on Azure infrastructure design, automation, and system monitoring.
System Design Discussion: A discussion of your approach to system architecture, design, and optimization for healthcare AI services.
Final Evaluation: A final evaluation of your technical skills, cultural fit, and alignment with Signal 1's mission and values.

Portfolio Review Tips:

Azure Infrastructure Projects: Highlight your experience in designing and implementing stable Azure-based infrastructure for various services, demonstrating your understanding of Azure services, Kubernetes, and Istio service mesh.
Automation & Monitoring Projects: Showcase your experience in creating automation tools for deployment and system monitoring, using tools like Azure Monitor, Datadog, and custom scripts.
Collaboration & Support Projects: Emphasize your experience working with development and data science teams to improve delivery processes and provide client support for AI solutions.

Technical Challenge Preparation:

Azure Services: Brush up on your knowledge of Azure services, including AKS, Azure AD, PostgreSQL, Monitor, and Storage.
Kubernetes & Istio: Review your understanding of Kubernetes, Istio service mesh, and Helm for container orchestration and service management.
Scripting & Automation: Practice writing Python and Bash scripts for automation and system management, and familiarize yourself with Terraform and Terragrunt for infrastructure-as-code.
Troubleshooting & Monitoring: Refresh your troubleshooting skills and gain hands-on experience with monitoring tools like Azure Monitor and Datadog.

ATS Keywords: (Organized by category)

Programming Languages: Python, Bash, PowerShell
Web Frameworks: N/A
Server Technologies: Azure, Kubernetes, Istio, Helm
Databases: PostgreSQL
Tools: Terraform, Terragrunt, GitHub Actions, Azure Monitor, Datadog
Methodologies: Agile, Scrum, Infrastructure-as-Code
Soft Skills: Collaboration, Communication, Problem-Solving, Troubleshooting
Industry Terms: Healthcare Technology, AI Management Systems, HIPAA, SOC2

📝 Enhancement Note: The interview process for this role will focus on assessing your technical expertise in Azure services, Kubernetes, and healthcare technology, as well as your ability to collaborate and communicate effectively with cross-functional teams.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

Backend & Server Technologies:

Azure Services: Proficiency in Azure services, including AKS, Azure AD, PostgreSQL, Monitor, and Storage, is essential for this role.
Kubernetes & Service Mesh: Experience with Kubernetes, Istio service mesh, and Helm for container orchestration and service management is required.
Infrastructure-as-Code: Knowledge of infrastructure-as-code using Terraform and Terragrunt is crucial for version control and automated deployment.

Development & DevOps Tools:

Version Control: Familiarity with Git and GitHub for version control and collaborative development.
CI/CD Pipelines: Experience with GitHub Actions for continuous integration and automated deployment.
Monitoring Tools: Proficiency in monitoring tools like Azure Monitor and Datadog for system monitoring, performance tracking, and alerting.

📝 Enhancement Note: This role requires a strong understanding of Azure services, Kubernetes, and healthcare technology, with a focus on backend and infrastructure technologies.

👥 Team Culture & Values

Web Development Values:

Reliability: Signal 1 values reliable and secure AI solutions, ensuring minimal downtime and optimal system performance.
Innovation: The company encourages continuous learning and the adoption of emerging technologies to stay at the forefront of healthcare AI solutions.
Collaboration: Signal 1 fosters a culture of collaboration and knowledge sharing, with a focus on user-centered design and innovation.
Quality: The company emphasizes code quality, testing, and quality assurance practices to ensure the reliability and performance of AI solutions.

Collaboration Style:

Cross-Functional Integration: The team works closely with development, data science, and product management teams to ensure the reliable and secure deployment of AI solutions.
Code Review Culture: The team emphasizes code review, testing, and quality assurance practices to ensure the reliability and performance of AI solutions.
Knowledge Sharing: The team promotes knowledge sharing, technical mentoring, and continuous learning to foster a culture of innovation and growth.

📝 Enhancement Note: Signal 1's culture emphasizes reliability, innovation, collaboration, and quality, with a focus on user-centered design and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Azure Infrastructure: Design and implement stable Azure-based infrastructure for healthcare AI services, ensuring scalability, reliability, and security.
Automation & Monitoring: Create automation tools for deployment and system monitoring, using tools like Azure Monitor, Datadog, and custom scripts.
Security & Compliance: Apply security standards and compliance requirements, such as HIPAA and SOC2, to protect sensitive healthcare data.
Troubleshooting & Support: Diagnose and resolve complex technical issues, ensuring minimal downtime and optimal system performance.
Emerging Technologies: Research and integrate emerging technologies to enhance the platform and stay at the forefront of healthcare AI solutions.

Learning & Development Opportunities:

Azure Specialization: Deepen your understanding of Azure services, Kubernetes, and healthcare technology through training, certifications, and hands-on experience.
Conferences & Community Involvement: Attend industry conferences, join relevant online communities, and engage with other professionals in the healthcare technology sector.
Technical Mentorship: Seek mentorship opportunities within the team to enhance your technical skills and leadership abilities.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities in Azure infrastructure, automation, security, troubleshooting, and emerging technologies within the healthcare technology sector.

💡 Interview Preparation

Technical Questions:

Azure Services: Be prepared to discuss your experience with Azure services, including AKS, Azure AD, PostgreSQL, Monitor, and Storage, and how you've applied them in previous roles.
Kubernetes & Istio: Demonstrate your understanding of Kubernetes, Istio service mesh, and Helm for container orchestration and service management, and provide examples of how you've used them to improve system performance and reliability.
Scripting & Automation: Showcase your ability to write effective Python and Bash scripts for automation and system management, and explain your approach to infrastructure-as-code using Terraform and Terragrunt.
Troubleshooting & Monitoring: Prepare for questions about your troubleshooting skills and experience with monitoring tools like Azure Monitor and Datadog, and discuss how you've used them to optimize system performance and minimize downtime.

Company & Culture Questions:

Healthcare Technology: Demonstrate your understanding of the healthcare technology industry and the unique challenges and opportunities it presents for AI management systems and infrastructure.
Signal 1's Mission: Explain how your experience and skills align with Signal 1's mission to empower healthcare organizations to unlock the value of their AI investments while managing risk.
Collaboration & Communication: Discuss your experience working with cross-functional teams, and provide examples of how you've effectively communicated and collaborated with development, data science, and product management teams to ensure the reliable and secure deployment of AI solutions.

Portfolio Presentation Strategy:

Azure Infrastructure Projects: Highlight your experience in designing and implementing stable Azure-based infrastructure for various services, demonstrating your understanding of Azure services, Kubernetes, and Istio service mesh.
Automation & Monitoring Projects: Showcase your experience in creating automation tools for deployment and system monitoring, using tools like Azure Monitor, Datadog, and custom scripts.
Collaboration & Support Projects: Emphasize your experience working with development and data science teams to improve delivery processes and provide client support for AI solutions.
Technical Walkthroughs: Prepare detailed technical walkthroughs of your Azure infrastructure, automation, and monitoring projects, explaining your approach to system architecture, design, and optimization.

📝 Enhancement Note: The interview process for this role will focus on assessing your technical expertise in Azure services, Kubernetes, and healthcare technology, as well as your ability to collaborate and communicate effectively with cross-functional teams.

📌 Application Steps

To apply for this Senior Cloud Infrastructure Engineer position:

Submit Your Application: Click the "Apply Now" button on the Signal 1 careers page to submit your application through BambooHR.
Tailor Your Portfolio: Customize your portfolio with live demos and responsive examples of your Azure infrastructure, automation, and monitoring projects, highlighting your experience with Azure services, Kubernetes, and healthcare technology.
Optimize Your Resume: Highlight your relevant experience, skills, and achievements in Azure services, Kubernetes, and healthcare technology, using industry-specific keywords to improve search visibility.
Prepare for Technical Interviews: Brush up on your technical skills in Azure services, Kubernetes, and healthcare technology, and practice coding challenges and portfolio presentation strategies tailored to this role.
Research Signal 1: Learn about Signal 1's mission, values, and culture, and prepare thoughtful questions to ask during the interview process, demonstrating your enthusiasm and alignment with the company's goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and healthcare technology industry-standard assumptions. All details should be verified directly with Signal 1 before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to DevOps, cloud infrastructure, and healthcare technology roles.
Include Azure services, Kubernetes, and healthcare technology-specific details throughout the description.
Emphasize Azure infrastructure design, automation, monitoring, and security considerations.
Address troubleshooting, client support, and emerging technology integration within the healthcare technology sector.
Highlight the unique challenges and opportunities presented by healthcare AI solutions and Azure services.

Quality Standards:

Ensure no content overlap between sections; each section must contain unique information.
Only include Enhancement Notes when making significant inferences about Azure services, Kubernetes, healthcare technology, or company culture.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute Azure services, Kubernetes, healthcare technology, and industry-specific keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and Azure services, Kubernetes, and healthcare technology specialization.

Industry Expertise:

Include specific Azure services, Kubernetes, and healthcare technology details relevant to the role.
Address Azure infrastructure design, automation, monitoring, and security best practices.
Provide tactical advice for Azure infrastructure projects, automation tools, and portfolio development.
Include Azure services, Kubernetes, and healthcare technology-specific interview preparation and coding challenge guidance.
Emphasize the unique challenges and opportunities presented by healthcare AI solutions and Azure services.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use Azure services, Kubernetes, healthcare technology, and industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to DevOps, cloud infrastructure, and healthcare technology professionals.
Provide actionable insights that give Azure services, Kubernetes, and healthcare technology professionals a competitive advantage.
Focus on Azure infrastructure design, automation, monitoring, and security considerations, with a strong emphasis on collaboration and cross-functional teamwork.

Technical Focus & Portfolio Emphasis:

Emphasize Azure infrastructure design, automation, monitoring, and security considerations throughout the description.
Include specific portfolio requirements tailored to Azure services, Kubernetes, and healthcare technology, with a focus on system architecture, design, and optimization.
Address troubleshooting, client support, and emerging technology integration within the healthcare technology sector.
Focus on problem-solving methods, performance optimization, and scalable Azure infrastructure design.
Include technical presentation skills and stakeholder communication for Azure infrastructure projects.

Avoid:

Generic business jargon not relevant to Azure services, Kubernetes, or healthcare technology roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific Azure services, Kubernetes, or healthcare technology role.
Marketing language unrelated to Azure services, Kubernetes, healthcare technology, or user experience.

Generate comprehensive, Azure services, Kubernetes, and healthcare technology-focused content that serves as a valuable resource for DevOps, cloud infrastructure, and healthcare technology professionals seeking their next opportunity and preparing for technical interviews in the healthcare technology sector.

Senior Cloud Infrastructure Engineer