Lead SW Engineer

Visa

15 - 20 years

12 - 17 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

unix automation backend linux rdbms coding unit testing distribution system python capacity planning

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities:

Collaborate with clients to understand requirements and deliver solutions that drive business value.
Leverage technologies like Java, REST, and NoSQL to develop next-generation payment infrastructure services.
Architect, design, and implement core components of our global transaction processing systems.
Provide technical leadership and mentorship to engineering teams.
Lead meetings and discussions with both technical and non-technical stakeholders.
Demonstrate strong leadership, interpersonal, and collaborative skills.

Technical Expertise Requirements:

Extensive platform engineering experience with Java, microservices, APIs, and enterprise systems.
Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
Expertise in scalable architecture patterns for web and omni-channel applications.
Strong background in distributed systems, service registry, container architecture, caching, streaming, NoSQL/RDBMS, and reactive programming.
Solid understanding of DevOps, deployment, and capacity planning.
Experience with enterprise integrations and RESTful APIs.
Familiarity with security best practices and contemporary security trends.
Python experience for AI/ML and backend services is a plus.
Experience leading end-to-end delivery of major cloud platform features.

GenAI, Prototyping and Modern Development Practices:

Proven hands-on experience building applications with Agentic AI frameworks (e.g., LangChain, LangGraph, Autogen) and foundational models (e.g., OpenAI, Anthropic, Gemini).
Demonstrated ability to rapidly build and iterate on GenAI prototypes and Minimum Viable Products (MVPs).
Strong practical knowledge of prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and vector databases (e.g., Pinecone, Weaviate, Chroma).
Experience in designing and implementing GenAI automation solutions to improve internal workflows and developer productivity.
Expertise in modern software development workflows, including mandatory hands-on experience with AI coding assistants (e.g., GitHub Copilot, Aider, Cline).
Strong understanding of CI/CD principles and experience building automated deployment pipelines for AI/ML applications.
Commitment to software engineering best practices, including version control (Git), code reviews, and comprehensive testing strategies.

Nice to Have:

Domain experience in Payment & Fraud management technologies
Experience in Data Analytics and tools such as Hadoop, Spark etc.
Familiarity with Model Context Protocol (MCP) or similar standards for managing state and context in complex LLM applications is a strong plus.
Understanding of MLOps principles as they apply to the lifecycle of GenAI models and applications.

Qualifications

15+ years of relevant work experience with a Bachelor s Degree or with an Advanced degree
Experience in commercial software development on Unix/Linux environment.
Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
Extensive platform engineering experience with Java, Microservices, APIs, and enterprise systems.
Experience with enterprise integrations and RESTful APIs.
Expertise in GenAI tooling & automation
5+ years in a technical leadership role
Hands-on understanding of architecture and operations of highly available and scalable web services.
Experience with agile development process
Desired experience instrumenting web applications for performance benchmarking

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