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The Staff Engineer will act as a technical anchor and mentor, bridging business strategy with hands-on execution across finance, HR, and front-office domains. Responsibilities include architecting end-to-end microservices, leading technical mentorship, and driving production implementation of enterprise solutions.
EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Its modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. With its EverPro, EverHealth, and EverWell brands specializing in Home, Health, and Wellness service industries, EverCommerce provides end-to-end business management software, embedded payment acceptance, marketing technology, and customer experience applications. Learn more at EverCommerce.com.
We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://www.evercommerce.com/about-us/careers/
EverCommerce is seeking a versatile, business-fluent Staff Full Stack Engineer & Enterprise Solutions Architect to serve as a technical anchor and engineering mentor within our Enterprise Technology organization.
This is a high-impact, "Swiss Army knife" engineering role. You will bridge the gap between business strategy and hands-on execution across our core enterprise domains: Finance (NetSuite, Zuora, Stripe, Coupa), HR (Workday), and Front Office (Salesforce). You will own the full delivery lifecycle: partnering directly with business leaders to elicit requirements, architecting end-to-end integration and microservice designs, building rapid proofs of concept (PoCs), writing production code, and establishing cloud observability in AWS.
Our core backend microservices are built in Java. If you thrive in an environment where you can architect an event-driven Java/Spring Boot microservice in the morning, mentor a senior engineer on system design in the afternoon, and deploy generative AI / agentic workflows (AWS Bedrock) to eliminate manual friction, this role is built for you.
Where:
The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States or Canada – if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.
Benefits & Perks:
Compensation:
EverCommerce is committed to equal pay and transparency. The annual base salary range for this position is $160,000 - $190,000 CAD Per Year. Please note that the salary range information provided is a general guideline and combines all distinct labor markets in the US. EverCommerce considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, candidate’s work location, education/training, key skills, internal peer equity, external market data, as well as market and business considerations when making compensation decisions.
EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!
EverCommerce uses approved artificial intelligence (“AI”) tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.
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