Principal Engineer with Agentic AI expertise

Vibehackers; India; On-site; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Autonomy and ownership

Global collaboration with engineering&

Continuous learning

Job summary

Vibehackers in India seeks a Principal Engineer to lead the payments technology transformation from Bangalore, architecting distributed Java/Spring Boot systems and guiding agent-enabled engineering workflows across the software delivery lifecycle.

You will mentor global teams, drive architectural excellence, evaluate AI-generated code, and ensure robust testing and CI/CD practices in a demanding, cross-border payments environment.

Qualifications

• 12–15+ years of software engineering experience (backend or full-stack).
• Expertise with Java and Spring Boot, microservices, and cloud-native patterns.
• Strong understanding of cloud platforms (Azure or AWS) and containerization (Docker, Kubernetes).
• Experience with messaging technologies (Kafka, RabbitMQ, Azure Service Bus).
• Experience with SQL and NoSQL databases (SQL Server, MongoDB).
• Familiarity with CI/CD, Git, DevOps tooling, and test automation frameworks.
• Experience in cross-border payments or financial markets and participation in large transformation programs.
• Prior experience introducing new engineering methodologies (AI/ML, agentic workflows, DevOps, cloud migrations).

Responsibilities

• Lead architecture and technical direction for distributed, microservice-based enterprise applications; enforce reliability, scalability, performance, and observability standards.
• Drive system design excellence through formal design reviews, ADRs, and technical deep-dives.
• Introduce, design, and operationalize agent-based engineering workflows across the SDLC using tools such as Claude Code and Copilot Workspace (repository-wide reasoning, refactoring, debugging, commit generation).
• Build agent-ready codebases via modular design, clean documentation, and comprehensive test coverage.
• Evaluate AI-generated code for quality, correctness, architectural alignment, and security.
• Deliver high-quality software aligned to business needs; translate product requirements into scalable technical solutions and implement robust automated testing and CI/CD practices.
• Diagnose and resolve complex issues across distributed systems and environments.
• Mentor and coach senior and junior engineers on system design, coding best practices, and agent-centric engineering patterns; promote collaboration across global agile teams.

Job description

Principal Engineer with Agentic AI expertise

Explicitly requires vibe coding and agentic development skills; uses Claude Code and Copilot Workspace to build agent-ready workflows and accelerate development.

About the Role

Principal Engineer for Payments technology transformation based in Bangalore, responsible for architecting and implementing distributed, cloud-native Java/Spring Boot systems and driving adoption of agentic development. Lead technical direction, introduce agent-powered engineering workflows (Claude Code, Copilot Workspace), and mentor teams to improve engineering productivity and quality.

Job Description

Role

Principal Engineer leading major components of the Payments technology transformation. Architect, design, and implement mission-critical distributed, microservice-based enterprise applications using Java and Spring Boot, and drive adoption of agent-enabled engineering workflows to accelerate delivery and improve developer productivity.

Key Responsibilities

• Lead architecture and technical direction for distributed, microservice-based enterprise applications; enforce reliability, scalability, performance, and observability standards.
• Drive system design excellence through formal design reviews, ADRs, and technical deep-dives.
• Introduce, design, and operationalize agent-based engineering workflows across the SDLC using tools such as Claude Code and Copilot Workspace (repository-wide reasoning, refactoring, debugging, commit generation).
• Build agent-ready codebases via modular design, clean documentation, and comprehensive test coverage.
• Evaluate AI-generated code for quality, correctness, architectural alignment, and security.
• Deliver high-quality software aligned to business needs; translate product requirements into scalable technical solutions and implement robust automated testing and CI/CD practices.
• Diagnose and resolve complex issues across distributed systems and environments.
• Mentor and coach senior and junior engineers on system design, coding best practices, and agent-centric engineering patterns; promote collaboration across global agile teams.

Requirements

• 12-15+ years of software engineering experience (back-end or full-stack).
• Expertise with Java and Spring Boot, microservices, and cloud-native patterns.
• Strong understanding of cloud platforms (Azure or AWS) and containerization (Docker, Kubernetes).
• Experience with messaging technologies (Kafka, RabbitMQ, Azure Service Bus).
• Experience with SQL and NoSQL databases (SQL Server, MongoDB).
• Familiarity with CI/CD, Git, DevOps tooling, and test automation frameworks.
• Experience in cross-border payments or financial markets and participation in large transformation programs.
• Prior experience introducing new engineering methodologies (AI/ML, agentic workflows, DevOps, cloud migrations).

Agentic Development (Distinctive Skills)

• Hands-on experience with agentic development tools such as Claude Code and Copilot Workspace or equivalent.
• Ability to orchestrate multi-agent workflows for refactoring, debugging, dependency updates, and code generation.
• Deep understanding of how modular design, documentation, and test coverage affect agent outputs.
• Experience evaluating and validating AI-generated code and building frameworks/patterns for agent-powered engineering at scale.

Soft Skills & Education

• Strong analytical, problem-solving, communication, and collaboration skills.
• Proven mentoring and leadership capabilities across distributed teams.
• Degree in Computer Science, Engineering, or related field.
• Position is for an experienced Principal-level engineer within Payments technology.

Benefits (summary)

• Competitive compensation and benefits.
• Culture valuing autonomy, ownership, continuous learning, and experimentation.
• Opportunity to work with global engineering and product teams on cutting-edge payments and AI innovation.

Skills

System Design Architecture Distributed Systems Microservices Cloud-native CI/CD DevOps Test Automation Containerization Messaging Systems Databases Technical Leadership Mentoring Coaching Collaboration Communication Problem Solving Observability Performance Engineering Experimentation Agile

Experience Level

Employment Type

Full Time, Permanent

• Competitive compensation and benefits
• Continuous learning
• Experimentation
• Work with global engineering and product teams