Kaseya^® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers.

Manager II, Software Engineering

Full-Time Position

Are you ready to make an impact?

ABOUT KASEYA:

Kaseya is the leading provider of complete IT Infrastructure and Security Management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Kaseya closed on the acquisition of Datto, Inc., on June 23, 2022. Learn more about the acquisition, here.

Kaseya closed on the acquisition of ConnectBooster on October 5, 2022. Learn more about the acquisition, here.

Responsibilities

Lead and mentor a high-performing team of engineers building and scaling a modern SaaS application.

Drive adoption of modern SDLC practices including Agile, trunk-based development, and continuous delivery.

Champion test-driven development (TDD) and behavior-driven development (BDD) to ensure quality is embedded from the start.

Collaborate with product, design, and data science teams to deliver AI-enhanced features and intelligent automation.

Guide the integration of AI/ML into both engineering workflows and customer-facing capabilities.

Establish and evolve observability practices including structured logging, distributed tracing, and real-time alerting.

Promote a culture of automation across testing, deployment, infrastructure, and compliance.

Partner with QA and DevOps to implement shift-left testing, automated regression suites, and performance testing pipelines.

Lead incident response and postmortem processes to drive reliability and continuous improvement.

Ensure secure coding practices and compliance with relevant data protection and privacy standards (e.g., SOC 2, GDPR).

Incorporate customer feedback loops into the development lifecycle to drive product quality and usability.

Oversee release planning and coordination to ensure smooth, low-risk deployments in a SaaS environment.

Collaborate cross-functionally with support, sales, and customer success teams to align engineering priorities with business needs.

Foster a culture of ownership, innovation, and accountability across the engineering team.

Monitor emerging technologies and industry trends, proactively assessing their relevance and potential to enhance product capabilities and engineering practices.

Requirements

5+ years of experience leading software engineering teams, including direct people management and technical leadership.

Bachelor’s degree in Computer Science or a related technical field (or equivalent practical experience).

Proven experience managing software engineering teams delivering cloud-native SaaS products.

Strong grasp of DevOps principles, CI/CD pipelines, and infrastructure as code (IaC).

Demonstrated experience with AI/ML technologies and their practical application in product development or engineering efficiency.

Familiarity with observability stacks and SRE practices.

Proficiency in TDD, BDD, and integrating quality gates into the development lifecycle.

Extensive experience with multi-tenant SaaS architectures and managing performance at scale.

Experience with feature flagging, canary deployments, and blue-green deployments.

Understanding of compliance frameworks relevant to SaaS (e.g., ISO 27001, FedRAMP).

Experience with incident management and on-call rotations in a production environment.

Excellent communication and leadership skills, with a passion for mentoring and growing engineering talent.

Strong organizational and time management skills, with the ability to prioritize effectively, manage team schedules, and deliver on multiple concurrent initiatives.

Ability to balance technical depth with strategic thinking and business alignment.

Tools

Development & Deployment: GitHub, Docker, Kubernetes

AI/ML: Azure AI, OpenAI, and similar

Observability: Dynatrace, New Relic, Grafana, or similar

QA & Testing: Selenium, Playwright, Postman, Cucumber, or similar

Automation & IaC: Terraform, Ansible, Bicep, or similar

Incident Management: PagerDuty, Opsgenie, or similar

Security & Compliance: Snyk, SonarQube, or similar

Collaboration: Microsoft Teams, Jira, and Confluence

Join the Kaseya growth rocket ship and see how we are #ChangingLives !

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Manager II, Software Engineering

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