Software Engineer, Senior

Infor Inc.; Bengaluru; On-site; INR 400,000 - 800,000; Full time

Job summary

Infor Inc. seeks a Senior Software Engineer to join the Platform Engineering team in Bengaluru. You will own design decisions, mentor engineers, and deliver scalable services using Python, C#, Angular, and AWS.

The role emphasizes AI governance, explainability, observability, and responsible use of AI within platform services. Strong full-stack skills and hands-on cloud experience are required.

Qualifications

• Shipping production software experience.
• Proficiency in Python; hands-on C# and PostgreSQL.
• Full-stack with Angular experience.
• Experience using AI coding tools in daily work.
• AWS services familiarity including Bedrock/SageMaker/Lambda/EKS.
• Exposure to LangChain or similar agentic frameworks.
• Ability to design from problem statements, not just implement.

Responsibilities

• Design and build production services in Python, C#, and related tech.
• Develop front-end features with Angular for the platform.
• Integrate AWS services and AI capabilities into services.
• Work on AI governance capabilities around explainability and observability.
• Mentor engineers and review designs to raise quality.
• Estimate effort and guide technical direction as needed.

Skills

Python

C#

Angular

PostgreSQL

Full-stack

AI literacy

Tools

AWS Bedrock

SageMaker

Lambda

EKS

Claude API

LangChain

Job description

Software Engineer, Senior

Department: Development

Employment Type: Full Time

Location: Bengaluru

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, building, and delivering scalable services, features, and user experiences across our platform. The role requires hands-on development using Python, C#, Angular, AWS cloud services, and modern AI technologies. As a senior engineer, you will own technical design decisions, evaluate trade-offs, mentor engineers, and contribute to AI Governance capabilities across explainability, observability, and prevention domains.

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.