Jobs at ConnectWise

Drives software quality across web, API, cloud, and microservices applications. Designs and executes comprehensive testing strategies, develops Python-based automation frameworks, validates APIs and databases, integrates tests into CI/CD pipelines, and manages defects through resolution. Collaborates with Product, Engineering, and DevOps teams in an Agile environment, mentors junior engineers, and applies AI-powered development tools and modern quality engineering practices to improve coverage, reliability, and release quality.

Creates and maintains automated tests for API, web, network, and database-backed applications. Develops test suites within continuous integration pipelines, executes and diagnoses tests, reproduces defects, verifies fixes, and assesses release readiness. Collaborates with Engineering on requirements, designs, usability, quality standards, and risk mitigation. Produces test plans, cases, procedures, and reports while researching issues and recommending solutions.

Architect and develop large-scale, cloud-native services and real-time systems. Lead SDLC, mentor engineers, drive AI-augmented development, ensure operational excellence, testing, and security compliance.

Develop and maintain Python-based automated tests for backend services, REST APIs, integrations, and network or infrastructure systems. Responsibilities include creating test suites, diagnosing and reproducing defects, verifying fixes, supporting continuous integration, documenting test plans and results, assessing release readiness, and collaborating with engineering teams. The role emphasizes API and backend testing rather than browser or UI automation, with troubleshooting across Linux, databases, networks, logs, and virtualized environments.

Designs and executes comprehensive software testing across functional, integration, regression, and end-to-end scenarios. Documents and validates defects, collaborates with developers and product teams, participates in Agile planning and release activities, contributes to test automation, analyzes test results, and improves QA processes and standards.

The Sr. Manager of Software Engineering leads a global team to develop high-quality software, manage resources, and implement strategies to achieve organizational goals.

Develops and maintains large-scale production services, web applications, data pipelines, and streaming systems. Supports engineering teams, researches and documents findings, debugs production issues across the technology stack, reviews code and tests, and helps improve engineering standards, tooling, and processes. May coach team members and works cross-functionally to deliver high-quality software aligned with coding and organizational standards.

The Senior Software Engineer I develops quality software, partners with cross-functional teams, and maintains high coding standards while focusing on software deliverables.

Design, develop, test, and maintain scalable production services, web applications, APIs, data pipelines, and distributed systems. Troubleshoot complex production issues, conduct code reviews, improve CI/CD and operational processes, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality, cloud-native software solutions.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.

Own development of the x360Sync macOS agent: design, implement, and maintain features in C++, integrate macOS-native components with Swift/Objective-C, debug production issues, participate in architecture discussions, write tests and documentation, collaborate with cross-functional teams, and improve engineering standards and tooling.