Sr. Software Engineer

• Own end-to-end technical solution design from requirements through architecture, implementation, and post-launch stability for the teams most complex initiatives
• Lead solution design using PHP, JavaScript, Workato, APIs, and Web Services; ensure solutions are scalable, maintainable, and aligned with established governance standards
• Evaluate tradeoffs across tools, platforms, and architectural patterns; produce documented recommendations that account for both short-term delivery needs and long-term operational cost
• Anticipate downstream impacts, performance bottlenecks, and operational risk during the design phase not as an afterthought in retrospect
• Author and maintain Architecture Decision Records (ADRs) and technical design documents for all major solution components **AI, Automation & Integration
  • Apply AI, automation, and agentic architectures to complex business problems at production scale designing for reliability, observability, and graceful failure
  • Lead the integration of AI-enabled components (LLM workflows, intelligent routing, agentic tools) into the teams operational platform
  • Design and oversee integrations between Delteks CS platforms (Oracle Service Cloud, Salesforce, Gainsight) and internal data systems, ensuring data integrity, performance, and auditability
  • Evaluate new AI frameworks, LLM providers, and automation platforms; provide grounded, implementation-level recommendations rather than theoretical assessments. In your first year, you can expect to:
    • Own the end-to-end design and delivery of major integrations and AI-enabled components from architecture through deployment and post-launch stability
    • Lead solution design for the teams most complex problems using PHP, JavaScript, Workato, APIs, and Web Services
    • Evaluate technology and platform tradeoffs and make defensible, documented recommendations that balance short-term delivery with long-term maintainability
    • Apply AI, automation, and agentic architectures to business problems at production scale not as experiments, but as shipped systems
    • Anticipate performance, operational, and security risks before they reach production; design with those constraints in mind from day one
    • Set engineering standards and review the work of IC1/IC2 engineers, making them better through structured feedback and clear design expectations
    • Partner directly with CS operations leadership and cross-functional stakeholders to translate ambiguous business needs into concrete technical strategies. **Must-Have Technical Skills
      • PHP and JavaScript: Production depth: You have designed, shipped non-trivial systems in these languages.
      • **Integration architecture: You have designed system-to-system integrations not just consumed APIs. You understand data flow, transformation logic, error handling, retry strategies, and idempotency.**
      • **AI / LLM applied experience: You have built or led the build of AI-assisted workflows, LLM-based tools, or agentic systems in an operational or product context. You know the difference between a demo and a production-grade AI system.**
      • **Relational databases: Query and schema design: You write optimized SQL, design schemas with long-term maintainability in mind, and understand when a query will cause production problems before it does.**
      • **Full-stack troubleshooting at depth: You can diagnose complex, multi-layer issues across front-end, API, back-end, and database and trace the root cause without being handed a reproduction case.**
      • **Technical tradeoff analysis: When evaluating tools, platforms, or approaches, you can articulate the tradeoffs clearly not just pick what you know best and document the rationale in a way that holds up six months later.**
      • **Documentation and design artifacts: You produce architecture diagrams, solution designs, and technical decision records that others can act on not just notes for yourself. “,”****

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