Jobs at Kaseya

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.

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.

Leads SDET and automation engineering teams, defines quality strategy and test architecture, and expands automated validation for endpoint management and enterprise SaaS platforms. Oversees functional, integration, regression, performance, resiliency, and system testing across Windows, macOS, Linux, and mobile environments. Drives CI/CD, release quality, root-cause analysis, AI-assisted testing, talent development, and cross-functional engineering quality initiatives.

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 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.

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.

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.

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.

Provides technical leadership across teams by designing scalable, reliable distributed systems, shaping technical strategy, influencing roadmaps, and driving modernization, observability, technical-debt reduction, and reliability initiatives. Leads AI-assisted development adoption, resolves complex technical issues, establishes engineering best practices, and mentors teams. Requires extensive software engineering experience, cloud production operations, and strong computer science fundamentals, with preferred experience in .NET, Rust, C#, JavaScript, microservices, Kubernetes, infrastructure as code, authentication, CI/CD, and secure development.

Provides technical leadership for large-scale distributed systems and platform architecture across multiple teams. Defines technical strategy, drives modernization and technical debt reduction, advances reliability and observability, promotes AI-assisted engineering, and develops shared platform capabilities. The role leads cross-functional initiatives, influences stakeholders without direct authority, mentors senior engineers, and improves scalability, developer productivity, security, and operational excellence.

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++.

Design, develop, test, and maintain secure, scalable software for enterprise SaaS platforms. Build services, APIs, integrations, and platform components while contributing to technical design, code reviews, troubleshooting, production support, performance, reliability, automation, observability, CI/CD, and DevOps improvements. Collaborate across product and engineering teams, mentor junior engineers, and communicate technical progress and trade-offs.

Lead and manage software engineering teams to deliver secure, scalable enterprise SaaS and hybrid platform capabilities. Drive architecture, agile/DevOps/CI/CD and test automation improvements, mentor technical staff, coordinate cross-functional stakeholders, participate in design and code reviews, and communicate risks and progress to leadership to ensure roadmap execution.

Designs, develops, tests, and maintains scalable enterprise SaaS software, APIs, platform components, integrations, and customer-facing capabilities. The role includes technical design, code reviews, troubleshooting, production support, performance and reliability improvements, CI/CD and DevOps practices, cross-functional collaboration, and mentoring junior and mid-level engineers. The engineer will influence technical direction and work across interconnected, cross-platform systems using C# and .NET.

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.

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.

Lead architecture and technical design for enterprise SaaS and hybrid platforms. Drive secure, scalable, reliable implementations across distributed systems, mentor engineers, guide design and code reviews, improve engineering standards (CI/CD, testing, observability), and coordinate with product and cross-functional teams to deliver complex initiatives.

Lead end-to-end execution of large, cross-product technical programs. Manage scope, risks, dependencies, and delivery for platform integrations, modernization, reliability, and enterprise launches. Partner with architects and engineering leaders on architecture and integration strategy. Provide executive communication on program health, drive decision-making across stakeholders, and establish scalable program frameworks and tooling. Mentor TPMs and improve planning, dependency management, and delivery predictability.