Software Engineer, Senior(.Net, Angular6-8Yrs Exp)
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Summary
Senior full-stack individual contributor on Infor's platform engineering team in Hyderabad, designing and building production services in Python and C# with Angular front ends, integrating AWS AI services (Bedrock, SageMaker, Lambda, EKS) and LLM capabilities via the Claude API, while contributing to AI Governance features and mentoring engineers.
We are seeking a Senior Software Engineer to join our platform engineering team in Hyderabad. This is a senior, full-stack individual contributor role responsible for designing and building services, features, and user experiences across the platform.
Senior Engineers are expected to design solutions, not just implement against a specification handed down from elsewhere. Seniority carries equal design responsibility regardless of location, including ownership of feature and component design, proposed approaches, and trade-off analysis.
The Senior Software Engineer will build production services using Python, C#, and related technologies, develop front-end capabilities using Angular, and contribute to AI Governance capabilities across explain, observe, and prevent areas as initiative needs evolve.
· Design and build production services in Python, C#, and related service technologies
· Develop corresponding front-end functionality using Angular
· Build and integrate features using AWS services such as Bedrock, SageMaker, Lambda, and EKS
· Integrate LLM-backed capabilities using the Anthropic Claude API, Model Context Protocol, and related platform services
· Contribute to AI Governance capabilities across explain, observe, and prevent areas, moving between whichever capability the initiative needs at a given stage
· Own the design of features and components within the assigned area, proposing implementation approach, alternatives, and trade-offs
· Mentor Engineers, review their code and designs, and help raise overall engineering quality
Participate in effort estimation and challenge estimates, scope, dependencies, or technical direction where warranted
· Integrate LLM-backed capabilities using the Anthropic Claude API, Model Context Protocol, and related platform services
· Contribute to AI Governance capabilities across explain, observe, and prevent areas, moving between whichever capability the initiative needs at a given stage
· Own the design of features and components within the assigned area, proposing implementation approach, alternatives, and trade-offs
· Mentor Engineers, review their code and designs, and help raise overall engineering quality
Participate in effort estimation and challenge estimates, scope, dependencies, or technical direction where warranted
· Strong, demonstrated engineering experience shipping production software
· Proficiency in Python, with hands-on experience or working proficiency in C#, and PostgreSQL
· Full-stack proficiency, including Angular
· Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool
· Working knowledge of AWS services, including Bedrock, SageMaker, Lambda, and EKS
· Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework, with evidence of having built with one
· Comfort designing a solution from a problem statement, not only implementing a fully specified design
· Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively
· Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes
· Proficiency in Python, with hands-on experience or working proficiency in C#, and PostgreSQL
· Full-stack proficiency, including Angular
· Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool
· Working knowledge of AWS services, including Bedrock, SageMaker, Lambda, and EKS
· Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework, with evidence of having built with one
· Comfort designing a solution from a problem statement, not only implementing a fully specified design
· Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively
· Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes
· Direct experience with the Anthropic Claude API and Model Context Protocol
· Prior work on systems with explainability, observability, or guardrail requirements
· Experience designing and delivering LLM-backed products, APIs, or AI-enabled production services
· Experience guiding engineering trade-offs, reviewing technical designs, and mentoring engineers in full-stack product delivery
· Prior work on systems with explainability, observability, or guardrail requirements
· Experience designing and delivering LLM-backed products, APIs, or AI-enabled production services
· Experience guiding engineering trade-offs, reviewing technical designs, and mentoring engineers in full-stack product delivery