Software Engineer, Senior(.Net, Angular 6-9Yrs)

Infor Inc.; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Infor Inc. in Hyderabad seeks a Senior Software Engineer to join the platform engineering team. This senior, full-stack contributor role focuses on designing production services and user experiences across the platform.

Responsibilities include owning feature design, mentoring engineers, and shaping implementation approaches. Proficiency in Python, C#, Angular, and AWS services is required, with experience in AI tooling and LangChain preferred.

Qualifications

• Strong engineering experience shipping production software.
• Proficiency in Python and working knowledge of C# and PostgreSQL.
• Full-stack proficiency with Angular.
• Hands-on AI tooling in daily development (Claude/AWS/OpenAI).
• Experience with AWS services (Bedrock, SageMaker, Lambda, EKS).
• Exposure to LangChain or similar agent frameworks.

Responsibilities

• Design and build production services in Python and C#.
• Develop front-end functionality using Angular.
• Integrate AI capabilities and LLM-backed services.
• Mentor engineers, review designs, and raise engineering quality.
• Estimate effort and guide technical direction.

Skills

Full-stack development

Mentoring engineers

Designing features

Code review

Tools

Python

C#

PostgreSQL

Angular

AWS Bedrock

AWS SageMaker

Claude API

LangChain

Job description

Department: Development

Employment Type: Full Time

Location: Hyderabad

Description

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.

A Typical Day in the Life Includes:

• 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

Basic Qualifications:

• 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

Preferred Qualifications:

• 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