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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Software Engineer - **Company:** ANNA LLC - **Location:** Huntsville, AL, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Layers, Software Applications, Build Automation, Code Generation, Code Review, Databases, Relational Databases, Cursor (Graphical User Interface Elements), Software Debugging, Distributed Systems, Amazon DynamoDB, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Node.Js, NoSQL, Performance Tuning, Query Optimization, Queueing Systems, Software Engineering, User Provisioning Software, Datadog, Freeform SQL, GitHub Copilot, Large Language Models, Generative AI, Indexer, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Terraform, Serverless Computing, Golang - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=257f59c1e32a324b ## About the Role * 3-5+ years in a backend software engineering role * Strong proficiency in at least one backend language (Python, Node.js, Go, or Java) with production experience * Experience building internal tools, APIs, and automation workflows * 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 * 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 * Experience with GitOps or CI/CD pipelines (ArgoCD, GitHub Actions, or similar) * Ability to debug across distributed systems - you can trace an issue from API to database to message queue * Strong written communication - documentation, architectural decision records, and clear PR descriptions are expected Preferred * Experience with Kubernetes-deployed applications (EKS preferred) * DynamoDB or similar NoSQL operational experience * Kafka consumer/producer development experience * Experience designing and building AI-powered applications, agents, and workflows using LLMs or other generative AI technologies. * Healthcare or compliance-adjacent environment experience (HITRUST, SOC 2, HIPAA) * Experience with event-driven architectures or serverless patterns * Familiarity with Terraform for application-layer infrastructure ## Description 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 * Build and ship internal tooling - first priority: a user admin portal that eliminates manual database operations currently consuming helpdesk bandwidth * Automate tenant user provisioning workflows, targeting 90% reduction in manual provisioning effort * Develop self-service capabilities that reduce Tier 1 escalation volume by 40% AI-Augmented Engineering * 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 * Use AI tooling to accelerate code generation, test writing, debugging, and documentation * Evaluate and integrate AI capabilities into internal tools and automation (e.g., intelligent ticket routing, automated code review, natural language interfaces for internal portals) * Contribute to team standards for responsible AI-assisted development practices Production Support & Debugging * Serve as Tier 3b application escalation owner - when SRE-triaged issues require code-level investigation, you own resolution * Perform cross-system debugging across services, databases, and message queues * Collaborate with SRE on incident response when application-layer root causes are identified Deployment & Operations * Own self-sufficient GitOps deployments via ArgoCD - you ship your own code to production * Maintain and improve CI/CD pipelines for backend services * Support operational readiness for new tenant onboarding from the application layer Collaboration & Growth * Work closely with VP of Engineering to prioritize bug backlog and feature work * Partner with SRE and Infrastructure teams on cross-functional reliability improvements * Contribute to post-incident reviews when application-layer issues are involved * Document architectural decisions and contribute to engineering knowledge base, * Direct reporting line to VP of Engineering with clear visibility into your contributions * AI-forward engineering culture - we invest in tools and practices that multiply individual output * Clear growth path as the engineering team scales * Modern stack: GitOps (ArgoCD), Kafka, DynamoDB, EKS, Datadog, Terraform * Impact on a platform serving enterprise healthcare clients - your automation work directly improves patient care delivery Success Metrics 90-Day * User admin portal live and operational * Manual provisioning reduced by 90% 12-Month * Bug backlog velocity doubled (2x throughput) * Tier 1 escalations reduced by 40% * Tenant user onboarding fully automated ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)