Senior Software Engineer

Senior Software EngineerWe're hiring a Senior Software Engineer to design, build, and operate backend services and SaaS platform capabilities. This role is for an engineer with strong expertise in Java, distributed systems, cloud technologies, and software design who embraces an AI-native approach to software development.Roles & Responsibilities:Design, develop, test, deploy, and support Java-based services, APIs, and distributed applicationsLead technical implementation of medium-to-large engineering initiatives within a product areaParticipate in architecture and design discussions and contribute to technical decision-makingRemain hands-on through coding, troubleshooting, code reviews, testing, and production supportLeverage AI coding tools such as Claude Code to improve development efficiency and software qualityApply AI-assisted techniques for code generation, testing, debugging, documentation, and codebase explorationHelp establish best practices for responsible use of AI-generated codeContribute to modernization of legacy systems through refactoring, automation, and AI-assisted development workflowsCollaborate with Product, Engineering, Security, and Architecture teams to deliver scalable solutionsSupport cloud-native architectures, microservices, integrations, and shared platform capabilitiesDrive improvements in performance, reliability, observability, security, and maintainabilityMentor Software Engineers through technical guidance, code reviews, and collaborative developmentEvaluate new technologies and engineering practices that can improve product quality and team productivityDesign, implement, and maintain CI/CD pipelines that automate build, testing, security scanning, deployment, and release processesPartner with DevOps and platform teams to improve deployment reliability, release velocity, and developer experiencePromote engineering best practices around continuous integration, continuous delivery, infrastructure automation, and release managementDrive adoption of automated quality gates, test automation, and deployment validation within software delivery pipelinesRequired Qualifications:7+ years of software engineering experience building SaaS applications, distributed systems, or enterprise platforms4+ years of experience developing backend services using JavaStrong coding skills with demonstrated experience designing, implementing, debugging, and supporting production softwareExperience leading significant technical projects or major features from design through productionExperience building and operating systems on AWS, Azure, or GCPExperience with code reviews, software design, testing strategies, and engineering best practicesDemonstrated experience using AI-assisted coding tools as part of software engineering workflowsAbility to leverage AI effectively for development, testing, debugging, documentation, and productivity improvementsStrong understanding of software engineering fundamentals and ability to validate and improve AI-generated codeStrong communication and collaboration skillsExperience building and maintaining CI/CD pipelines in modern software development environmentsStrong understanding of continuous integration, continuous delivery, automated testing, release automation, and deployment best practicesExperience with source control and CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar technologiesPreferred Qualifications:Hands-on experience with Claude Code or similar AI coding toolsExperience with Spring Boot, Spring Cloud, Hibernate, Kafka, or similar technologiesExperience with cloud-native, microservices-based, or event-driven architecturesExperience with PostgreSQL, MySQL, SQL Server, or OracleExperience contributing to modernization or migration initiativesExperience improving observability, testing, reliability, and operational excellenceExperience integrating AI-enabled capabilities, LLMs, agents, or AI services into software productsFamiliarity with modern AI engineering concepts such as LLM APIs, tool use, agents, RAG, evaluation, and prompt engineeringExperience implementing CI/CD pipelines for microservices and cloud-native applicationsExperience integrating security scanning, quality gates, automated testing, and observability into deployment pipelinesExperience with Infrastructure as Code technologies such as Terraform, CloudFormation, or similar toolsWhat Success Looks Like:Build: Deliver high-quality technical solutions and software features.Influence: Contribute technical expertise to architectural and design decisions.Modernize: Improve systems, engineering practices, and development workflows.Accelerate: Use AI to improve engineering velocity and quality.Mentor: Support and elevate engineers across the team.Own: Take responsibility for solutions from development through production operations.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.