# Senior Software Engineer

**Company**: Mastercard
**Location**: Pune, India
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Senior-Software-Engineer_R-294542?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_84fc4266-d4e

## Description

Mastercard Payment Networks Technology team is looking for a Sr. Software Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving.

The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.

Responsibilities:

- Independently translate business and system requirements into pragmatic designs, modular code, rapid AI proofs of concept (PoCs), minimum viable products (MVPs), and production-ready applications.

- Build AI-powered applications and backend services using hosted foundation-model APIs, SDKs, enterprise data, and reusable services; evaluate ideas quickly and recommend whether they should progress, pivot, or stop.

- Build end-to-end Retrieval-Augmented Generation (RAG) solutions covering ingestion, chunking, embeddings, vector or hybrid retrieval, reranking, grounding, citations, and permission-aware responses.

- Build and integrate Model Context Protocol (MCP) clients and servers that expose enterprise tools, prompts, resources, data, and services through standardized, governed, and auditable interfaces.

- Develop agentic workflows using tool calling, orchestration, state and memory patterns, structured outputs, guardrails, confidence controls, output validation, and human-in-the-loop approvals.

- Use Claude, GitHub Copilot, and comparable AI-assisted engineering tools hands-on to accelerate discovery, prototyping, coding, testing, documentation, and code review while protecting confidential information and validating generated output.

- Define engineering standards, evaluation criteria, and automated validation processes for AI-powered applications and developer productivity solutions, ensuring high quality, reliability, security, maintainability, and operational excellence.

- Productionize validated AI solutions using secure coding, automated testing, CI/CD, configuration management, observability, resilience, performance optimization, and rollback strategies.

- Embed security, privacy, compliance, Responsible AI, least-privilege access, role-based authorization, secrets management, data minimization, content safety, and auditability into solution design.

- Collaborate with product owners, architects, platform engineers, quality engineers, domain experts, and business stakeholders to resolve roadblocks and deliver high-quality outcomes in a fast-paced Agile environment.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.

- Strong software engineering experience delivering secure, reliable enterprise applications, APIs, backend services, or distributed systems, with the independence expected of a Senior Software Engineer.

- Hands-on experience building AI-enabled applications using modern programming languages, enterprise data, APIs, and AI-assisted development tools.

- Practical experience with LLM applications, RAG, agentic workflows, or similar applied AI patterns.

- Hands-on experience using AI application frameworks, hosted model services, and relevant SDKs to build and integrate enterprise AI solutions.

- Strong understanding of API design, distributed systems, automated testing, secure development, CI/CD, and production support practices.

Preferred qualifications:

- Experience in payments, high-volume transaction processing, or other highly available and regulated technology environments.

- Familiarity with cloud-native platforms, observability, resiliency, and Responsible AI practices.

Skills, Tools & Technologies:

- Core: Python or another modern programming language, experience with SQL and other relational or NoSQL databases, backend services and distributed systems for integrating enterprise data, AI capabilities, and resilient high-volume transaction workflows, strong debugging skills, Git, and automated testing.

- AI workflows and quality: LLM application development and RAG, with emphasis on prompts and agent workflows, and guardrails and evaluation logic.

- AI platforms and frameworks: Knowledge of Anthropic APIs, AWS Bedrock, Azure OpenAI, or equivalent hosted-model services, and LangChain, LangGraph, or equivalent SDKs.

## Skills

### Required
- Python
- SQL
- NoSQL databases
- backend services
- distributed systems
- AI-assisted development tools
- LLM applications
- RAG
- agentic workflows
- API design
- automated testing
- secure development
- CI/CD

### Nice to have
- payments
- high-volume transaction processing
- cloud-native platforms
- observability
- resiliency
- Responsible AI practices
- C/C++
- Unix/Linux
- sockets
- inter-process communication (IPC)
- shared memory
- microservices

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Senior-Software-Engineer_R-294542?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)