Principal Software Engineer at ConnectWise

ConnectWise is a global leader in the software industry, supporting a community of over 45,000 technology solution providers. With a dedicated team of more than 3,000 colleagues across North America, EMEA, and the APAC region, we build tools that empower our partners to automate service delivery, manage their businesses, and provide exceptional customer experiences. We pride ourselves on our inclusive culture, where we value diverse perspectives and encourage our employees to make a meaningful impact in their own unique way.

Key outcomes

• Collaborate with architects and engineering leads to define enterprise-level architecture for our SaaS products.
• Partner with QA and performance teams to ensure adherence to quality standards and the successful implementation of automation.
• Develop and execute migration strategies to transition from legacy systems to modern architectures based on evolving product requirements.
• Create proof of concepts to evaluate new technologies and provide technical guidance to team members.
• Take ownership of a segment of our product suite, ensuring code quality and system architecture standards are maintained through design reviews and mentorship.
• Drive hands-on testing and quality assurance efforts to meet security and performance service level agreements.

Requirements

• Extensive experience in cloud-based development using web services, web APIs, and microservices architecture.
• Proven ability to architect scalable SaaS platforms and drive improvements through non-functional requirements.
• Strong expertise in building native applications within AWS environments.
• Solid background in continuous integration and conceptual knowledge of continuous delivery.
• Experience working with multitenancy and NoSQL databases, such as Kafka or OpenSearch.
• A track record of delivering multiple versions of SaaS products to production and successfully introducing new technologies.
• Proficiency in engineering best practices, including unit testing, code coverage, and deployment automation.
• Strong communication skills with the ability to mentor engineers and facilitate consensus among stakeholders.
• A degree in Computer Science, Information Technology, or a related field.
• Fluency in English.

Preferred qualifications

• Experience with AI, machine learning, or cybersecurity domains.
• Proficiency in multiple technology stacks, with a preference for Go, Java, or Python.
• Knowledge of cloud networking and deployment.
• Relevant certifications, such as an AWS Architect designation.

Compensation

We offer a hybrid work environment that provides flexibility for our team members.

How to apply

If you are interested in joining our team and making a difference, we invite you to submit your application. We look forward to reviewing your qualifications and learning more about your experience.