We are seeking a MuleSoft Developer with 2 to 4 years of experience to join our IT team. The ideal candidate should have a strong understanding of MuleSoft's capabilities and integration patterns, proficiency in troubleshooting, and experience in writing custom functionality in Java that is not available in MuleSoft. You will be responsible for designing and developing integrations and APIs using MuleSoft's Anypoint Platform and complex DataWeave transformations.

Key Responsibilities:

• Design, develop, and maintain APIs, integrations, and services using MuleSoft's Anypoint Platform.
• Utilize complex DataWeave transformations for data manipulation and orchestration.
• Write custom functionality in Java when not available in MuleSoft.
• Participate in the full software development life cycle: from requirement gathering, design, and development, through testing, deployment, and maintenance.
• Collaborate with internal teams to identify and understand the requirements and translate them into technical solutions.
• Implement security, encryption, and authentication on integrations and APIs.
• Proficiently troubleshoot and resolve integration and API issues.
• Monitor, analyze and optimize integration and API performance.
• Create and maintain technical documentation.
• Participate in code reviews to ensure code quality and distribute knowledge.
• Stay up-to-date with MuleSoft's latest technologies and best practices.

Required Skills & Experience:

• Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a MuleSoft Developer or similar role, ideally between 2 to 4 years.
• Strong knowledge of MuleSoft's Anypoint Platform, MuleSoft AnyPoint Studio, and related technologies.
• Experience with SOAP and REST web services, RAML in Mule, and complex data transformation languages like DataWeave.
• Experience in writing custom functionality in Java that's not available in MuleSoft.
• Working knowledge in writing PL/SQL in any RDBMS such as SQL, Oracle etc.
• Knowledge of integration patterns and best practices.
• Experience with agile methodologies.
• Proficient troubleshooting and problem-solving skills.

#LI-SC1

#LI- Hybrid

Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.

About the Role

We're pioneering a new role focused exclusively on quality assurance for GenAI systems. As our AI QA Engineer, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills

to ensure our AI features are reliable, accurate, and trustworthy

Key Responsibilities

• Design and implement comprehensive testing strategies for GenAI features including conversational AI, agentic systems, and LLM-powered workflows
• Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour
• Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)
• Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases
• Implement monitoring and alerting systems to detect quality degradation in production GenAI features
• Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems
• Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases
• Develop tools and frameworks that make it easy for engineers to test their GenAI implementations
• Conduct user acceptance testing and gather feedback on AI feature performance from internal users
• Document testing procedures, known issues, and quality metrics in clear, accessible formats
• Partner with Product and Design teams to ensure AI features meet user experience standards
• Stay current with GenAI testing methodologies, tools, and industry best practices

Required Qualifications

• 3+ years of QA or test engineering experience, preferably with AI/ML systems.
• Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
• Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
• Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)
• Ability to design test cases and evaluation criteria for non-deterministic systems
• Strong analytical and problem-solving skills with attention to detail
• Experience with API testing tools (Postman, REST Assured) and backend testing
• Familiarity with CI/CD pipelines and automated testing integration
• Excellent communication skills for documenting issues and collaboration

Preferred Qualifications

• Experience testing conversational AI, chatbots, or agentic systems
• Knowledge of ML model evaluation metrics and techniques
• Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)
• Experience with performance testing and load testing AI APIs
• Understanding of responsible AI principles including fairness, transparency, and safety testing
• Background in enterprise software or SaaS QA
• Experience with test management tools (TestRail, Zephyr, Jira)
• Knowledge of security testing methodologies for AI systems
• Scripting experience with Python, including working with LLM APIs

What Makes This Role Exciting

• Define QA practices for GenAI applications
• Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy
• Shape quality standards that will impact millions of enterprise users
• Collaborate closely with engineers, data scientists, and product teams
• Grow expertise in a highly specialized and increasingly important domain
• Influence the entire AI product development lifecycle from design to release
• Join a team that values quality as a first-class concern, not an afterthought

We are seeking a talented mid-level Software Developer to join our growing engineering team as an individual contributor. You will work closely with our Engineering Manager and cross-functional teams to build scalable web applications and cloud-based solutions using modern technologies. This role offers the opportunity to contribute to architectural decisions while focusing on delivering high-quality code and technical solutions.

Key Responsibilities

• Develop and maintain scalable web applications using .NET Framework/Core/5+ and modern UI frameworks
• Develop, maintain and modernize Excel integrated .Net add-in for existing client base.
• Write clean, maintainable, and well-tested code following established engineering best practices
• Collaborate with engineering teams, product management, and design to implement technical solutions
• Participate in code reviews and contribute to improving development standards and processes
• Build and maintain RESTful APIs and integrate with third-party services
• Work with cloud platforms (Azure/AWS) to deploy and maintain applications
• Contribute to technical design discussions and architectural decisions
• Implement automated testing strategies and participate in CI/CD pipeline development
• Troubleshoot and resolve technical issues across the full software development lifecycle
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimation
• Stay current with emerging technologies and recommend improvements to existing systems
• Mentor junior developers and contribute to knowledge sharing within the team

Required Qualifications

• 3-5 years of professional software development experience
• Strong proficiency in .NET framework and .NET Core/5+ development
• Experience with modern UI frameworks (Angular, React, or Vue.js)
• Solid understanding of web development fundamentals (HTML, CSS, JavaScript)
• Experience with cloud platforms, preferably Azure or AWS
• Proficiency in database design and development (SQL Server, PostgreSQL, or similar)
• Understanding of software architecture patterns and design principles
• Experience with version control systems (Git) and collaborative development workflows
• Knowledge of API design and development (REST, JSON)
• Familiarity with Agile/Scrum methodologies
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration abilities
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

Preferred Qualifications

• Experience in Windows client application development
• Experience with containerization technologies (Docker, Kubernetes)
• Knowledge of DevOps practices including CI/CD pipelines and infrastructure as code
• Experience with automated testing frameworks and test-driven development
• Familiarity with microservices architecture and distributed systems
• Experience with NoSQL databases and data modeling
• Knowledge of GraphQL and modern API development practices
• Experience with monitoring and logging tools (Application Insights, New Relic, etc.)
• Understanding of security best practices and secure coding principles
• Experience with mobile development or full-stack development
• Knowledge of performance optimization and scalability considerations
• Previous experience in a startup or high-growth technology environment

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to work with cutting-edge technologies and contribute to technical decisions
• Professional development opportunities and conference attendance support
• Flexible work arrangements with remote work options
• Collaborative team environment with experienced engineering leadership
• Health, dental, and vision insurance
• Generous PTO and parental leave policies
• Performance-based bonuses and growth opportunities
• Modern development tools and collaborative workspace

Job Description

 PayPay is looking for a Frontend Engineer to build and scale UI/Product experiences for our web applications. You’ll work closely with Product, Design, and Backend teams to deliver high-quality features, contribute to a growing design system.

Primary Responsibilities

• Deliver product features end-to-end: translate requirements into clean, scalable UI implementations with well-structured components and predictable data flow.
• Build reusable UI components and patterns: contribute to and extend our design system using tools like Storybook; prioritize consistency, accessibility basics, and developer ergonomics.
• Integrate APIs and handle real-world states: implement robust data fetching patterns (pagination, caching, retries), and manage loading/error/empty states with clear UX behavior.
• Write maintainable, modular code: apply good separation of concerns (presentation vs business logic vs API layer), meaningful abstractions, and clear naming; keep codebase easy to extend.
• Optimize performance and reliability: identify bottlenecks (rendering, network, bundle size), apply pragmatic improvements (memoization, debouncing, virtualization where relevant), and avoid async pitfalls (stale responses, race conditions).
• Improve engineering quality: participate actively in code reviews, raise the bar on standards, and help enforce best practices around testing strategy, i18n, and build tooling.
• Collaborate cross-functionally: work closely with PM/Design/Backend to clarify requirements, propose tradeoffs, and deliver iteratively with high ownership.
• Support operational excellence: use observability tooling (e.g., Sentry, New Relic, Kibana) to debug production issues, measure impact, and improve stability.
• Grow toward full-stack ownership (optional path): partner with backend teams and gradually take on BFF/API contributions using Node.js (NestJS/Express) as needed.

Tech Stack

Frontend: Typescript/Javascript , React/Vue, single-spa, Webpack, Jest, Storybook, i18n , micro-frontend

Middlewear : NestJS, Express

Infra/CI: AWS, Docker, Kubernetes, ArgoCD, Terraform, GitHub Actions, Jenkins

Obs/Analytics: Sentry, Kibana, New Relic, Google Analytics, Firebase

Qualifications

• 3 - 5 years of professional frontend development experience.
• Strong JavaScript fundamentals.
• Solid experience in React and/or Vue.
• Proven ability to write readable, modular, production-quality code.
• Strong problem-solving skills with practical DSA (web-relevant) comfortable reasoning about time/space complexity.
• Performance awareness: can identify bottlenecks and implement pragmatic optimizations.
• Ability to do low-level design (LLD) for frontend features: break down requirements into components/modules, define interfaces, and plan implementation in milestones.
• Good communication: can explain approach and tradeoffs clearly.
• Leverage AI/LLM based tools in daily workflows

Preferred Qualifications

• Experience with Nest.js (routing, SSR/CSR tradeoffs, data fetching strategies).
• Experience with Node.js or API integration patterns (REST, pagination, auth flows, error handling).
• Familiarity with design systems, accessibility basics, and responsive UI patterns.
• Exposure to frontend observability (error logging, basic performance metrics).
• Experience with micro-frontends (e.g., single-spa) or large-scale frontend architectures.

What success looks like

• You can independently deliver a feature end-to-end with clean architecture and reliable async handling.
• Your code is modular, maintainable, and performance-conscious.
• You contribute to consistent UI patterns and raise team quality through reviews and collaboration.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

　　※The development center requires you to work in the Gurugram office to establish the strong core team.
　　　

Your Impact

The Senior Software Engineer is responsible for project subsystems. They lead epics/initiatives, mentor more junior engineers, and contribute to architectural
decisions. They have a substantial impact on their team and, at times, across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilising cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers

What You'll Do

• Technical Leadership and Mentorship: Provides technical leadership in project teams, mentors and guides more junior engineers, and contributes to technical decision-making.
• Performance Optimisation: Focuses on designing systems for high performance, scalability, and reliability.
• Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
• Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem.
• Code Quality and Optimisation: Upholds and enhances code quality through rigorous review processes, optimisation techniques, and adherence to best practices.
• Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions.
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, product managers, and stakeholders, contributing to project planning and execution.
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team
• Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information.
• Data Platform Development: Designs, builds, and maintains scalable and robust data platforms to support analytics, machine learning, and business intelligence.
• Data Integration and ETL: Develops and optimises ETL (Extract, Transform, Load) processes and data integration pipelines. Ensure efficient data flow across various sources and systems
• Advanced File Processing: Develops extensible file processing pipelines that offer free self-service artefact generation. Researches and evaluates file processing software based on fidelity, reliability, and performance criteria. Models file processing outcomes within the observability framework to provide insights for engineering teams and business leaders. Develops engineering systems that facilitate rapid and minimally manual evaluation of file processor
• Data Management: Orchestrates scale-out data pipelines that optimise serverless and containerised compute to balance cost, latency, and duration. Contributes to algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets. Troubleshot systems, identified root causes, and rectified bugs.

Who You Are

• 7-10 years of experience in software development, with a demonstrated track record in SaaS or similar environments.
• 5+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation;
• Experience in playing key roles (for example: development, testing, design, product interfacing, etc) in significant software projects, showing an ability to work effectively both independently and as part of a team. Other preferred experience for the position, including length and in what capacity (e.g., operational, management level).
• Experience with developing and maintaining large-scale, high-availability software systems
• Experience with gRPC and Protocol Buffers for efficient, language-agnostic service-to-service communication
• Experience with designing and developing from a Security Perspective
• Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage
• Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid
• Experience with Agile development methodologies and practices.
• Experience using feature or release toggles as a code branching strategy
• Experience with Contract-first designing and negotiating with other systems
• Experience contributing to technical documentation

Even Better If You Have...

Key 3-5 specific skills or knowledge required

• Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems
• Knowledge of Design, implementation, and operation of data-intensive distributed systems
• Understanding of microservices design patterns and principles, with experience in developing microservices using containerized tools like Docker
• Knowledge of system architecture, design patterns, and best practices in software development.
• Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
• Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc.
• Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges.
• Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement.
• Effective communication and teamwork skills, essential for working in a dynamic and collaborative environment with various stakeholders and team members.
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#.
• Skilled in designing and developing APIs (including gRPC, GraphQL, and REST), basic understanding of HTTP/HTTPS protocols, and proficiency in API documentation. 
• Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud).
• Knowledge of various stages of the SDLC, including design, development, testing, and deployment.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

Location - Bangalore

Experience - 10 +yrs

Skills and Qualifications:

Experience in backend development with a strong focus on Java, Microservices ,Spring boot, Kafka and TDD.

Specialization in building Java Spring Boot microservices and integrating with databases, message brokers, api-gateways

• Good knowledge of fundamentals with hands-on experience in Java (Desirable for candidate to have knowledge on latest versions - Java 17 or later)
• Good Sql fundamentals and data persistence frameworks (For eg JPA, Hibernate, Spring Data JDBC, Jooq etc)
• Knowledge on database index optimization (for eg PostgreSQL) ensuring performance efficiency
• Good hands-on experience with Kafka, containerization technologies(For eg Docker), and Kubernetes
• Good hands-on experience with memory leak identification and performance tuning java microservices
• Test-driven development (Code Coverage / CI - Integration / CI - Acceptance / CI - Performance) experience and knowledge of automated test frameworks and tools
• Proven expertise in engineering scalable, robust and high-performance applications in on-prem and public cloud
• Good experience in drafting API design, building rest apis and good understanding of http, messaging protocols (JMS, Kafka etc)
• Good to have knowledge on integrating with aws services (For eg S3, SQS, SNS, Lambda etc)
• Knowledge of Infra as code tools like Terraform(Desirable)

Roles and Responsibilities

• Highly skilled engineer, specializing in building Java Spring Boot microservices and integrating with databases, message brokers, api-gateways etc
• Building high quality code, conducting code reviews, and ensuring adherence to best practices.
• Test-driven development experience and knowledge of automated test frameworks and tools
• Proven expertise in engineering and building scalable, robust, and high-performance applications in on-prem and public cloud
• Good hands-on experience with PostgreSQL, Kafka, containerization technologies, and Kubernetes. Experience on integrating with aws services is good to have
• Good experience on drafting API design, building rest apis and good understanding of http and other messaging protocols (JMS, Kafka etc)

Job Description

PayPay India is looking for a QA Automation Engineer to enhance our payment systems and deliver the best customer experience. 

Main Responsibilities

• Utilizing the Testing Methodology, analyzes testing requirements as the basis for developing testing scenarios for a test level to be executed on a project.
• Design, create and review test cases based on specifications. Maintain and update test cases.
• Prepare test data, tools, and environment needed for test execution.
• Execute tasks related to the production of the test cases, test scripts, and test data.
• Execute Functional and Non-Functional tests.
• Report found defects, track status of reported defects, and verify fixes.
• Support knowledge management and collaboration through participation in testing discussions, communities and improving testing collateral through lessons learned.
• Provide trainings and instructions to newcomers.
• Serve as SME (Subject Matter Expert) in responsible areas. Develop and provide domain knowledge to support other QA engineers and developers 

Required Skills and Experiences

• At least 4 -8 years of QA Engineer or QA Leader experience.
• Ability to understand and analyze technical specifications. Experience in designing and creating test cases.
• Strong knowledge of QA methodology and QA tools, such as ALM, TestRail, TestLink, QASymphony, etc
• Hands-on Experience in Agile Scrum and Waterfall Software Development Lifecycle.
• Minimum 2 or more years of experience in running and maintaining automated test cases for mobile apps, web apps, or APIs.
• Professional experience in using one of following frameworks/tools - Appium for mobile apps , Selenium for web-based apps, or unirest/Rest Assured for API’s.
• Well versed in using Continuous Integration and Continuous Development tools, like Jenkins/Bitrise or any other.
• Experience in writing SQL, Java, or C# to develop automation frameworks to perform UI, API and backend database testing.
• Experience in creating complex SQL queries to verify results of testing.
• Strong organizational and problem solving skills with attention to detail, Self-driven and proactive, team worker, open-minded, and good communication style.

Preferred Qualifications

• ISTQB or equivalent certificate
• Experience in testing mobile applications (Android and iOS).
• Experience in working with microservices
• Experience in Docker and Kubernetes.
• Experience in working under a fast-paced development environment in IT/Web industry (experience of Agile development is a plus).
• Experience in developing the standardization of QA process and methodology, and/or proposing improvement in QA processes
• Experience in proposing and introducing new QA tools in the test process.
• Experience in the development or QA of systems in the financial and/or payment sector.
• Experience in running performance tests using Gatling/Wrk/Jmeter.
• Experience in bash or other CLI scripting
• Curiosity and passion about learning new technologies is a definite plus
• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

　　※The development center requires you to work in the Gurugram office to establish the strong core team.
　　　

About the Role

We’re looking for a passionate QA Engineer who enjoys writing clean, reliable automation code and wants to work on next-generation test frameworks and internal QA tools.
You’ll collaborate with senior engineers to strengthen our Playwright + TypeScript-based automation ecosystem, helping improve reliability, coverage, and developer experience.

Key Responsibilities

• Design and develop UI and API automation tests using Playwright with TypeScript.
• Contribute to our in-house automation framework, enhancing utilities, fixtures, and reusable modules.
• Maintain high-quality, readable test code and assist in debugging and triaging issues.
• Partner with developers and QA leads to ensure smooth feature validation and stable releases.
• Participate in POCs and explore modern testing tools and best practices.
• (Optional) Contribute to performance testing using k6 or similar tools.

Must-Have Skills

• 1–3 years of hands-on experience in Playwright using TypeScript / JavaScript
• Strong programming fundamentals in TypeScript / JavaScript.
• Hands-on experience with Playwright
• Solid grasp of testing concepts — selectors, assertions, waits, test design, and debugging.
• Basic understanding of API testing (REST).
• Familiarity with Git and basic command-line workflows.
  
  

Nice-to-Have Skills

• Exposure to k6 or other performance testing tools.
• Basic awareness of test reporting, failure categorization, or test analytics.
• Interest in framework design and tooling to improve quality
  
  

Why Join Us

• Work on a cutting-edge QA automation framework built with modern tech (TypeScript, Playwright, Node.js).
• Go beyond writing tests — learn how frameworks, utilities, and tools are built.
• Collaborate with senior automation engineers who value clean code and engineering excellence.
• Great learning curve, modern tools, and ownership-driven environment.