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EverCommerce - Staff Software Engineer

EverCommerce
Remote, USA
Full-time
Senior
Remote
USD 150000-170000 / year
Discovered 3 weeks ago

Full Job Posting

Responsibilities:

  • Lead technical design and development for enterprise integration and automation initiatives.
  • Architect AWS-based microservices, APIs, event-driven flows, and secure integration patterns.
  • Provide hands-on coding support across backend services, APIs, databases, and automation workflows.
  • Guide developers through design reviews, code reviews, troubleshooting, and production readiness.
  • Partner with business and technical stakeholders to clarify requirements and translate them into technical solutions.
  • Help design and implement AI / agentic automation use cases across business functions.
  • Establish engineering best practices for SDLC, documentation, testing, observability, security, and release management.
  • Troubleshoot production issues and drive root cause analysis and long-term fixes.

Skills and Experience needed for success in this role:

Strong software engineering background with hands-on backend development experience.

Experience designing and building solutions on AWS Cloud.

Strong knowledge of REST APIs, microservices, databases, authentication, and integration patterns.

Experience with automation platforms such as Workato or similar iPaaS tools.

Experience with AWS Bedrock

Ability to lead technical design discussions and mentor engineers.

Strong problem-solving, communication, and stakeholder management skills.

Practical understanding of SDLC, testing, deployment, monitoring, and production support.

Preferred Skills

Experience with AI automation, AI agents, LLMs, RAG, or agentic workflows.

Experience with AWS Lambda, API Gateway, Secrets Manager, SQS/SNS/EventBridge, CloudWatch, and IAM.

Experience with security, compliance, SOX controls, and audit-ready engineering practices.

Success Profile

The ideal candidate is a strong technical leader who can design, build, troubleshoot, and guide others. They should be comfortable operating in ambiguity, improving process maturity, and helping the team deliver secure, scalable, and business-focused technology solutions.

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 and Perks:

Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid

Continued investment in your professional development

Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend.

401k with up to a 4% match and immediate vesting

Flexible and generous (FTO) time-off

Employee Stock Purchase Program

Compensation: The target base compensation for this position is $150,000 to $170,000 USD per year and a variable component included in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.

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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