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Staff Engineer
EverCommerceStaff Engineer designing AWS integrations, microservices, and AI automation for EverCommerce’s service-commerce SaaS platform. Providing technical leadership and hands-on development across distributed teams.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AWS-based microservices architecture, backend development, and automation workflows, while effectively leading technical design discussions and mentoring engineering teams. Proficient in establishing best practices for software development life cycle (SDLC), security, and compliance.
Highest-signal resume keywords
AWS Cloud Solutions DesignMicroservices ArchitectureREST API DevelopmentAutomation Platforms ExperienceAI Automation and Agentic Workflows
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentMicroservicesREST APIsDatabasesAutomation WorkflowsSDLC Best PracticesTroubleshootingRoot Cause AnalysisSecurity ComplianceAI Agents
Soft Skills
Problem-SolvingCommunicationStakeholder ManagementMentoring
Tools & Technologies
AWS LambdaAPI GatewayAWS BedrockWorkatoCloudWatchSecrets ManagerSQSSNSEventBridgeIAM
Industry Keywords
SOX ControlsAudit-Ready EngineeringEvent-Driven FlowsIntegration PatternsAI Automation Use Cases
Tech Stack
Tools & technologiesAWSCloudMicroservicesSDLC
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
- Experience with AI automation, AI agents, LLMs, RAG, or agentic workflows preferred
- Experience with AWS Lambda, API Gateway, Secrets Manager, SQS/SNS/EventBridge, CloudWatch, and IAM preferred
- Experience with security, compliance, SOX controls, and audit-ready engineering practices preferred
- Must be eligible to work without sponsorship
Benefits
Comp & perks- Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
- Robust wellness benefits, including an annual wellness stipend
- Flexible and generous (FTO) time-off
- Employee Stock Purchase Program
- Registered Retirement Savings Plan (RRSP) with 4% company match