About the Role
We are a customer experience technology company serving enterprise clients across regulated industries including healthcare and financial services. Our platform is scaling, and we need a Backend Engineer to relieve application bottlenecks, automate manual provisioning workflows, and accelerate bug resolution velocity — all while leveraging AI-augmented development practices to multiply output.
This role sits at the intersection of traditional backend engineering and modern AI-assisted development. You will build automation that eliminates operational toil, own application-layer escalations, and integrate AI tooling into your daily workflow to ship faster and more reliably. You’ll report directly to the VP of Engineering and serve as a key member of a growing engineering team.
What You’ll Do
Application Development & Automation
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Build and ship internal tooling — first priority: a user admin portal that eliminates manual database operations currently consuming helpdesk bandwidth
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Automate tenant user provisioning workflows, targeting 90% reduction in manual provisioning effort
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Develop self-service capabilities that reduce Tier 1 escalation volume by 40%
AI-Augmented Engineering
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Leverage AI-assisted development tools (e.g., Kiro, GitHub Copilot, Cursor, or similar) as a core part of your development workflow — not as an experiment, but as a daily practice
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Use AI tooling to accelerate code generation, test writing, debugging, and documentation
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Evaluate and integrate AI capabilities into internal tools and automation (e.g., intelligent ticket routing, automated code review, natural language interfaces for internal portals)
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Contribute to team standards for responsible AI-assisted development practices
Production Support & Debugging
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Serve as Tier 3b application escalation owner — when SRE-triaged issues require code-level investigation, you own resolution
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Perform cross-system debugging across services, databases, and message queues
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Collaborate with SRE on incident response when application-layer root causes are identified
Deployment & Operations
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Own self-sufficient GitOps deployments via ArgoCD — you ship your own code to production
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Maintain and improve CI/CD pipelines for backend services
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Support operational readiness for new tenant onboarding from the application layer
Collaboration & Growth
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Work closely with VP of Engineering to prioritize bug backlog and feature work
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Partner with SRE and Infrastructure teams on cross-functional reliability improvements
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Contribute to post-incident reviews when application-layer issues are involved
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Document architectural decisions and contribute to engineering knowledge base
What You Bring
Required
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3–5+ years in a backend software engineering role
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Strong proficiency in at least one backend language (Python, Node.js, Go, or Java) with production experience
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Experience building internal tools, APIs, and automation workflows
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Demonstrated use of AI-assisted development tools (Kiro, GitHub Copilot, Cursor, or similar) in professional or project work — you actively use AI to accelerate your development
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Experience with relational databases (PostgreSQL, SQL Server, or similar) including writing complex SQL queries, designing schemas, troubleshooting performance issues, and understanding indexing and query optimization
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Experience with GitOps or CI/CD pipelines (ArgoCD, GitHub Actions, or similar)
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Ability to debug across distributed systems — you can trace an issue from API to database to message queue
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Strong written communication — documentation, architectural decision records, and clear PR descriptions are expected
Preferred
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Experience with Kubernetes-deployed applications (EKS preferred)
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DynamoDB or similar NoSQL operational experience
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Kafka consumer/producer development experience
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Experience designing and building AI-powered applications, agents, and workflows using LLMs or other generative AI technologies.
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Healthcare or compliance-adjacent environment experience (HITRUST, SOC 2, HIPAA)
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Experience with event-driven architectures or serverless patterns
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Familiarity with Terraform for application-layer infrastructure
What We Offer
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High-impact role relieving a critical application bottleneck on a growing platform
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Direct reporting line to VP of Engineering with clear visibility into your contributions
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AI-forward engineering culture — we invest in tools and practices that multiply individual output
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Clear growth path as the engineering team scales
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Modern stack: GitOps (ArgoCD), Kafka, DynamoDB, EKS, Datadog, Terraform
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Impact on a platform serving enterprise healthcare clients — your automation work directly improves patient care delivery
Success Metrics
90-Day
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User admin portal live and operational
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Manual provisioning reduced by 90%
12-Month
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Bug backlog velocity doubled (2x throughput)
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Tier 1 escalations reduced by 40%
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Tenant user onboarding fully automated
ArgoCD
Kafka
DynamoDB
EKS
Datadog
AI Tools
