Design & Architecture
- Own end-to-end technical solution design — from requirements through architecture, implementation, and post-launch stability — for the team’s 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 team’s operational platform
- Design and oversee integrations between Deltek’s 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 team’s 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.
- Education: Bachelor’s degree in Computer Science, Electrical or Electronics Engineering, or a related technical discipline. Equivalent demonstrated experience considered.
- Experience: 4–7 years of hands-on experience in software engineering, systems integration, or closely related work, with at least 2 years at a level where you have owned technical design decisions — not just implemented them.
- Coding evidence: A portfolio, GitHub profile, architecture document, or production system you can speak to in depth. At IC3, we expect you to be able to walk through a non-trivial design decision you made and defend the tradeoffs.
- AI / ML: Practical, production-level experience with LLMs or AI tooling — not just prompt engineering or personal experimentation. Familiarity with frameworks such as LangChain, OpenAI APIs, or similar platforms is a strong plus.
- Collaboration model: Comfortable working as a technical authority in a distributed team. The role requires regular IST overlap with US East/Central stakeholders (approximately 2:00 PM – 11:00 PM IST for at least part of the week).
- Language: Strong written and spoken English. At IC3, much of your influence operates through written design documents, async reviews, and stakeholder communications. Precision in writing matters.
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