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Staff Software Engineer

3 hours, 44 minutes ago
Canada
Full-time
Lead
Software Engineer
Software Development
AWS Azure C# CI/CD Docker GCP JavaScript Kubernetes Microservices OpenID Connect Pulumi Rust SAML Serverless Terraform
Apply Now
Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised
View All Jobs 87

Description

  • Lead the design and evolution of large-scale systems and architectures to improve scalability, reliability, and maintainability.
  • Drive adoption of AI-assisted development practices across engineering teams and connect those efforts to delivery speed, product quality, and business outcomes.
  • Define and guide technical vision and strategy across teams, aligning engineering work with product and organizational goals.
  • Partner with engineering and product leadership to shape technical priorities and influence roadmap decisions.
  • Resolve ambiguity in technical problem spaces by defining approaches and driving clarity, alignment, and execution across teams.
  • Influence architecture, design patterns, and best practices across multiple teams.
  • Provide code review feedback and technical guidance to uphold code quality, maintainability, and sound design.
  • Lead resolution of complex technical issues and identify systemic patterns to prevent recurring problems.
  • Improve system health, availability, and reliability through better observability, monitoring, and operational practices.
  • Lead efforts to reduce technical debt and modernize existing systems, including re-platforming initiatives and tooling improvements.
  • Mentor engineers and promote a culture of engineering excellence across teams.
  • Collaborate with cross-functional partners including Technical Support, QA, Design, Documentation, and Product Management.

Requirements

  • B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 8+ years of professional software engineering experience with technical leadership on complex, cross-team initiatives.
  • Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices.
  • Deep experience designing and evolving large-scale distributed, high-performance systems and architectures.
  • Hands-on experience designing, deploying, and operating production applications on AWS, GCP, or Azure.
  • Practical knowledge of cloud-native services across compute, storage, networking, and managed data, plus cloud architecture and security best practices.
  • Proven ability to operate in ambiguous problem spaces and drive clarity, alignment, and execution across teams.
  • Strong ability to influence technical direction without direct authority.
  • Strong understanding of testing strategies, including unit, integration, and end-to-end testing, with an emphasis on automated coverage.
  • Deep experience with observability practices, including structured logging, metrics, distributed tracing, and alerting.
  • Forward-looking experience leading the adoption of AI-assisted development tooling across engineering teams.
  • Experience working with cross-functional teams, performing root cause analysis, debugging complex issues, and communicating clearly to technical and non-technical stakeholders.
  • Independent, driven, and able to demonstrate strong ownership in delivering high-quality solutions.
  • Proficiency in one or more of Rust, C#, and JavaScript.
  • Experience with full stack and API development across frontend and backend layers.
  • Experience with modern authentication and authorization mechanisms such as OAuth 2.0, OIDC, and SAML.
  • Experience maintaining and operating production services at scale, including incident response and post-mortem facilitation.
  • Experience with distributed and microservices-based architectures.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with infrastructure-as-code tools such as Terraform, Pulumi, or Bicep.
  • Experience implementing modern security practices, including secure coding, threat modeling, and vulnerability remediation.
  • Experience with CI/CD systems, automated testing gates, and progressive deployment strategies.
  • Familiarity with relational and non-relational data stores and how to choose between them.

Benefits

  • Equal employment opportunity regardless of race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, disability, veteran status, marital status, or other protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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