Jobs at Kaseya

Leads test architecture, automation frameworks, and quality engineering strategy for distributed cloud-native systems. Drives AI-assisted testing, CI/CD quality gates, observability, release validation, root cause analysis, and modernization initiatives. Partners with engineering and product leadership on quality governance, mentors SDETs and QA engineers, and ensures scalable, reliable, and secure software delivery.

Build and maintain large-scale automated testing frameworks, libraries, infrastructure, and test suites for enterprise SaaS applications, APIs, services, and distributed systems. Integrate automation into CI/CD pipelines, troubleshoot application and production issues, validate AI-generated code and tests, improve coverage and reliability, and collaborate with engineering, DevOps, product, and QA teams. The role requires independently delivering extensive automation coverage and supporting issue reproduction outside standard hours when needed.

Early-career software engineer who develops, tests, debugs, and maintains cloud-based IT operations and device management features. Contributes to backend services, APIs, integrations, automated tests, and CI/CD, participates in code reviews and agile processes, and collaborates across product and operations.

Build and maintain automated testing frameworks for endpoint management agents across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests for device management workflows, OS integrations, recovery scenarios, and security capabilities. Troubleshoot complex defects, analyze logs and telemetry, reproduce customer issues, partner on root-cause analysis, and use AI-assisted development tools to expand test coverage and improve engineering productivity.

Develop, test, and maintain cloud-based platform services and backend features. Contribute to APIs, integrations, and core platform components; participate in code reviews, design, CI/CD, troubleshooting, and production support. Improve reliability, security, scalability, and performance while collaborating with cross-functional teams.

Develop and maintain automated testing frameworks for endpoint agents across Windows, macOS, Linux, and mobile platforms. Build functional, integration, regression, performance, resiliency, and system-level tests for device management workflows, OS integrations, security features, and endpoint recovery. Troubleshoot defects using logs, debugging, telemetry, and diagnostics; reproduce customer issues; support root-cause analysis; and use AI-assisted tools to expand test coverage and improve automation quality.

Design, build, test, and maintain scalable SaaS platform features and services. Participate in design and code reviews, troubleshoot production issues, improve reliability/security, mentor junior engineers, and collaborate across product, QA, and operations.

Designs and maintains large-scale automated testing frameworks, libraries, infrastructure, and suites for enterprise SaaS applications, APIs, services, and distributed systems. Integrates testing into CI/CD pipelines, troubleshoots application and production issues, validates AI-generated code, improves test coverage and reliability, and collaborates with engineering, DevOps, product, and QA teams. The role requires extensive hands-on programming, cloud experience, independent automation ownership, and occasional after-hours incident support.

Build and maintain automated testing frameworks for endpoint management agents across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests covering installation, upgrades, patching, device management, recovery, and security. Troubleshoot complex endpoint defects, analyze logs and telemetry, reproduce customer issues, and partner with engineering and support on root-cause analysis. Use AI-assisted development tools to expand test coverage and maintain automation assets.

Provides organization-wide technical leadership for large-scale distributed systems and platform architectures. Defines technical strategy, drives scalability, reliability, modernization, observability, and developer productivity, and leads cross-team initiatives without direct authority. Partners with engineering, product, and business leaders on architecture and roadmaps, advances AI-assisted development, mentors senior engineers, and contributes to technical due diligence.

Provides organization-wide technical leadership for large-scale distributed systems and platform architectures. Defines technical strategy, drives scalability, reliability, modernization, observability, and developer productivity, and leads cross-functional initiatives. Advances AI-assisted development, partners with engineering and business leadership, mentors senior engineers, reduces technical debt, and influences architecture and operational maturity across teams.

Designs and maintains large-scale automated testing frameworks, libraries, infrastructure, and test suites for enterprise SaaS applications, APIs, services, and distributed systems. Develops production-quality automation, integrates tests into CI/CD pipelines, troubleshoots application and production issues, and expands test coverage using AI-assisted development tools. Collaborates with engineering, DevOps, product, and QA teams to improve reliability, observability, maintainability, and automation efficiency.

Owns Kubernetes infrastructure, CI/CD pipelines, Terraform automation, observability, incident response, infrastructure security, and hybrid networking for a large-scale cloud-agnostic backup platform. The role requires operating highly reliable production systems, defining SLOs, improving automation, managing on-call practices, and supporting massive multi-cloud and storage environments.

Own Kubernetes infrastructure, CI/CD pipelines, Terraform-based infrastructure automation, observability, incident response, infrastructure security, and hybrid networking for a large-scale cloud-agnostic backup platform. The role requires operating production systems across cloud and private environments, improving reliability and automation, managing on-call processes, and supporting scalable storage infrastructure.

Build and manage scalable Azure infrastructure, CI/CD pipelines, and automation for a SaaS platform. Responsibilities include provisioning infrastructure with Terraform or Bicep, managing Azure services, implementing GitHub Actions pipelines, monitoring reliability, responding to incidents, improving security and secrets management, and partnering with development and QA teams to streamline releases.

The Principal Software Engineer will lead Kaseya's Identity and API strategy, ensuring architectural integrity and collaboration across teams. Responsibilities include designing IAM systems, developing technical strategies, mentoring engineers, and overseeing system reliability.

Design and build low-level Linux security infrastructure for sidecar architecture, including process isolation, sandboxing, namespace enforcement, transparent TCP proxying, credential protection, audit ledgers, workload identity, and secure startup sequencing. Evaluate gVisor, micro VMs, WASM, and Unix socket isolation approaches for multi-tenant automation workloads. Work close to the operating system across networking, memory management, process lifecycle, and privilege separation, using Go, Rust, or C/C++.

Provide senior technical leadership for enterprise SaaS and hybrid platforms: define architecture and standards for security, scalability, reliability, and observability; design distributed systems and agent-based solutions; mentor senior engineers; drive technical strategy, roadmap execution, and cross-functional alignment; review architecture and code and communicate trade-offs to stakeholders.