EverCommerce
SaaS
StaffSoftwareEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Software Engineer at EverCommerce. Skills: AWS Cloud, Microservices, Automation, AI. Lead technical design. Lead development for integration”
What You'll Achieve.
Improve delivery quality; Move automation initiatives to production; Deliver secure solutions; Deliver scalable solutions; Deliver business-focused solutions
Industry & Context.
Problem-solving; Troubleshooting; Root cause analysis
Work without sponsorship, Travel to Denver, Travel to North America
What They're Looking For.
Must Have
Hands-on backend development experience, Experience designing AWS solutions, Knowledge of REST APIs, Knowledge of microservices, Knowledge of databases, Knowledge of authentication, Knowledge of integration patterns, Experience with automation platforms, Ability to lead technical design, Ability to mentor engineers, Problem-solving skills, Stakeholder management skills, Practical understanding of SDLC, Practical understanding of testing, Practical understanding of deployment, Practical understanding of monitoring, Practical understanding of production support
Nice to Have
Experience with AI automation, Experience with AI agents, Experience with LLMs, Experience with RAG, Experience with agentic workflows, Experience with AWS Lambda, Experience with API Gateway, Experience with Secrets Manager, Experience with SQS/SNS/EventBridge, Experience with CloudWatch, Experience with IAM, Experience with security, Experience with compliance, Experience with SOX controls, Experience with audit-ready engineering
What You'll Do.
Lead technical design
Lead development for integration
Lead development for automation
Architect AWS microservices
Architect event-driven flows
Architect secure integration patterns
Provide hands-on coding
Guide developers through design reviews
Guide developers through code reviews
Guide developers through troubleshooting
Guide developers through production readiness
Partner with stakeholders
Translate requirements to solutions
Implement AI use cases
Establish engineering best practices
Troubleshoot production issues
Drive root cause analysis
Drive long-term fixes
How You'll Work.
Team & Collaboration
Technical stakeholders; Business stakeholders; Cross-functional teams
Communication Scope
Technical design discussions
Process & Methodology
SDLC, Release management
Full Job Description
At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries. 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://careers.evercommerce.com/us/en_](https://careers.evercommerce.com/us/en) EverCommerce is looking for a **Staff Software Engineer** to provide technical leadership, architecture guidance, and hands-on development across enterprise integration, AWS microservices, Workato automation, and AI-enabled solutions. This role will act as a **dev lead, solution architect, and senior hands-on engineer** , helping the team design scalable solutions, improve delivery quality, and move high-impact automation initiatives from requirements to production. ## ## 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
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