11+ Accounts receivable Jobs in Chennai | Accounts receivable Job openings in Chennai

Accounts Payable

• Excellent knowledge in Invoice Processing & T&E claims and guide the team
• Handle all payment exceptions, including positive pay items, and administers all special handling
• Performs internal duplicate payment reviews daily.
• Reviews all A/P checks subject to escheatment.
• Vendor reconciliation & follow-up with the vendor
• Compliance audits
• Month-end activities of chargeback, accrual, reporting, and analysis
• Performance Reporting, Management, and SLA Adherence
• People Management – Should be able to lead a team of 10 – 15 people

Accounts Receivable

• Monitor daily activities such as Customer Master, Cash Applications, Billing, Dunning, etc.,
• Period / quarterly accounting and analysis: Period P&L and Sales Reporting
• Identify the unallocated/unapplied cash and work with onshore teams in clearing the customer accounts
• KPI/SLA management
• Performance Management and Reporting

General Ledger

• Responsible for service delivery with zero surprises for a particular process e.g. Reconciliation and Journals
• Responsible for driving process standardization and delivery excellence for the process and team
• Responsible for pro-active issue resolution and troubleshooting
• Single point of contact and L1 escalation level

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Integration Developer

ROLE TITLE

Integration Developer

ROLE LOCATION(S)

Bangalore/Hyderabad/Chennai/Coimbatore/Noida/Kolkata/Pune/Indore

ROLE SUMMARY

The Integration Developer is a key member of the operations team, responsible for ensuring the smooth integration and functioning of various systems and software within the organization. This role involves technical support, system troubleshooting, performance monitoring, and assisting with the implementation of integration solutions.

ROLE RESPONSIBILITIES

·       Design, develop, and maintain integration solutions using Spring Framework, Apache Camel, and other integration patterns such as RESTful APIs, SOAP services, file-based FTP/SFTP, and OAuth authentication.

·       Collaborate with architects and cross-functional teams to design integration solutions that are scalable, secure, and aligned with business requirements.

·       Resolve complex integration issues, performance bottlenecks, and data discrepancies across multiple systems. Support Production issues and fixes.

·       Document integration processes, technical designs, APIs, and workflows to ensure clarity and ease of use.

·       Participate in on-call rotation to provide 24/7 support for critical production issues.

·       Develop source code / version control management experience in a collaborative work environment.

TECHNICAL QUALIFICATIONS

·       5+ years of experience in Java development with strong expertise in Spring Framework and Apache Camel for building enterprise-grade integrations.

·       Proficient with Azure DevOps (ADO) for version control, CI/CD pipeline implementation, and project management.

·       Hands-on experience with RESTful APIs, SOAP services, and file-based integrations using FTP and SFTP protocols.

·       Strong analytical and troubleshooting skills for resolving complex integration and system issues.

·       Experience in Azure Services, including Azure Service Bus, Azure Kubernetes Service (AKS), Azure Container Apps, and ideally Azure API Management (APIM) is a plus.

·       Good understanding of containerization and cloud-native development, with experience in using Docker, Kubernetes, and Azure AKS.

·       Experience with OAuth for secure authentication and authorization in integration solutions.

·       Strong experience level using GitHub Source Control application.

·       Strong background in SQL databases (e.g., T-SQL, Stored Procedures) and working with data in an integration context.

·       Skilled with Azure DevOps (ADO) for version control, CI/CD pipeline implementation, and project management.

·       Experience in Azure Services, including Azure Service Bus, Azure Kubernetes Service (AKS), Azure Container Apps, and ideally Azure API Management (APIM) is a plus.

GENERAL QUALIFICATIONS

·       Excellent analytical and problem-solving skills, with a keen attention to detail.

·       Effective communication skills, with the ability to collaborate with technical and non-technical stakeholders.

·       Experience working in a fast paced, production support environment with a focus on incident management and resolution.

·       Experience in the insurance domain is considered a plus.

EDUCATION REQUIREMENTS

·       Bachelor’s degree in Computer Science, Information Technology, or related field.

Critical Skills to Possess:

Must have

• Strong knowledge in core Content Management System (CMS) architecture and application development life cycle process
• Strong knowledge in Adobe Experience Manager (AEM) framework and design patterns
• Experience in developing and configuring AEM workflows, user roles and permissions
• Experience with AEM Cloud tools and AEM instances like Author, Preview and Publish
• Strong knowledge in AEM Cloud architecture to implement components, templates, dialogs, and processes
• Strong knowledge in building AEM components using Angular Framework or other SPA frameworks
• Extensive knowledge in the architecture and deployment of REST APIs within the AEM system
• Strong knowledge on developing features using Java, Angular, HTML, CSS, and JavaScript

Good to have

• Experience with AEM Dispatcher and Multi-Site Manager (MSM)
• Experience with AEM key technology concepts, such as Granite/Sling/OSGi/JCR/ Sightly/HTL UI
• Experience with AEM templates, processes, and application customizations for the WCM application
• Experience in Omni channel AEM integrations with other apps and creating components for AEM
• Strong knowledge in Translation design patterns and AEM translation integrations with third parties
• Experience with Version Control tools and CI/CD process
• Knowledge in third party APIs or widgets integrations with AEM
• Knowledge in AEM CDN configurations and caching strategies

We are looking for a highly skilled Backend Developer with expertise in Core Java, Java 8, and Data Structures. The ideal candidate should have experience in Spring Boot, JPA/Hibernate, and Microservices architecture. If you are passionate about backend development and want to work in a dynamic environment, we’d love to hear from you!

Key Responsibilities:

• Develop and maintain backend applications using Core Java and Java 8.
• Design and implement RESTful and SOAP web services.
• Work with Spring Framework, Spring Boot, and JPA/Hibernate for backend development.
• Build and optimize microservices-based architectures.
• Manage databases such as PostgreSQL, MySQL, or Oracle.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Write clean, efficient, and scalable code while following best practices.
• 
  

Requirements:

✅ Strong hands-on experience in Java (Core Java, Java 8) and Data Structures.

✅ Proficiency in Spring, Spring Boot, JPA/Hibernate.

✅ Experience in developing and consuming RESTful & SOAP APIs.

✅ Knowledge of Microservices architecture and best practices.

✅ Database expertise in PostgreSQL, MySQL, or Oracle.

✅ Excellent verbal and written communication skills.

Nice to Have:

• Experience with Docker/Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to cloud platforms (AWS, GCP, or Azure).

Company Description

Sciflare Technologies Pvt. Ltd. is a 10+ years dynamic and innovative IT and software development company located in Chennai. With a strong presence in the US, Europe, and UAE, we specialize in various domains, including AI, Gaming, Banking, Fintech, Fantasy Sports, IT, E-commerce, Logistics, Healthcare, and On-Demand Services. Our team of over 40 talented professionals is dedicated to delivering cutting-edge solutions that drive our clients' success. Our top clients include Provident Bank, Century Financial, HDFC Life, The New Indian Express, Cisco, and EROS Group.

Join us and be a part of a company that thrives on creativity, technology, and excellence.

CHANCE TO WORK WITH APPS WITH 10LAKH CONCURRENT USERS IN GAMING INDUSTRY

Role Description

• You are a champion at Code reviews and Unit/Mock/integration Tests
• You have a strong sense of ownership of what you design and deploy
• You provide strong technical mentorship to team members
• You are an excellent team player
• You continuously learn and improve

We are seeking a highly motivated and experienced Senior React Native Engineer to join our team. In this role, you will lead and manage software development projects across diverse domains such as Gaming, Banking, Fintech, Fantasy Sports, IT, E-commerce, Logistics, Healthcare, and On-Demand Services. You will be responsible for ensuring the successful delivery of projects, meeting deadlines, and exceeding client expectations.

Skill Sets

• Startup Experience: Proven track record of taking ownership of projects and delivering impactful results in a startup environment.
• Relevant Experience: 3-9 years of experience in mobile app development, with a strong focus on building high-performance, scalable, and maintainable React Native applications.
• React Native Expertise: Extensive experience with React Native, including deep knowledge of its ecosystem, libraries, and tools.
• JavaScript & TypeScript: Proficiency in JavaScript and TypeScript, with experience in writing clean, maintainable, and efficient code.
• Mobile Development: Hands-on experience in developing cross-platform mobile applications for both iOS and Android, with a strong understanding of platform-specific guidelines and best practices.
• State Management: Proficiency with state management solutions such as Redux, MobX, or Context API.
• APIs & Integration: Experience integrating with RESTful APIs and GraphQL endpoints, with a strong understanding of asynchronous data fetching and state management.
• UI/UX Design: Strong understanding of UI/UX principles and experience working with designers to implement user-friendly interfaces and improve app usability.
• Testing & Debugging: Experience with mobile testing frameworks and tools such as Jest, Detox, or Appium. Skilled in debugging and performance optimization for mobile applications.
• Version Control & CI/CD: Experience with Git, pull requests, and CI/CD pipelines. Familiarity with tools like GitLab, GitHub, or Bitbucket.
• Agile Practices: Experience working in Agile environments, with a solid understanding of SCRUM and related methodologies.
• Collaboration & Communication: Excellent teamwork and communication skills, with the ability to collaborate effectively in a remote or distributed team setting.
• Solutions-Oriented: Ability to tackle complex problems with a solutions-oriented mindset, adapting to the fast pace and challenges of startup life.

Responsibilities

• Scalable Architecture: Lead the design and implementation of scalable mobile architectures that ensure performance, reliability, and maintainability of React Native applications.
• Informed Decisions: Make architectural and technical decisions that align with the companys business objectives and technical strategy.
• Code Quality & Standards: Maintain high standards of code quality through regular code reviews, adhering to best practices and industry standards.
• User Experience: Work closely with UX/UI designers to ensure that applications provide a seamless and engaging user experience.
• Performance Optimization: Optimize mobile applications for speed, responsiveness, and efficiency, ensuring a smooth user experience across both iOS and Android platforms.
• Testing & Debugging: Implement comprehensive testing strategies to identify and address issues early in the development cycle, ensuring reliable and high-quality releases.
• Collaboration: Collaborate with product managers, designers, and other developers to understand user requirements and deliver features that meet user needs and project goals.
• Continuous Learning: Stay current with the latest trends, technologies, and best practices in React Native and mobile development to drive innovation and improvement.
• Autonomy: Take ownership of projects and tasks, working independently and effectively without the need for constant supervision.
• Simplicity: Strive for simplicity and elegance in your code and solutions, avoiding unnecessary complexity.
• Proactive Problem Solving: Anticipate and address potential issues before they arise, contributing to the overall success of the team and project.
• Solution-Oriented: Focus on delivering practical solutions to problems, going beyond just writing code to contribute to the overall success of the product.

Life@Sciflare:

• An exciting & lively workplace gives you the chance to work in an environment where you may unleash your creativity and inventiveness to the best extent possible.
• Work in a collaborative setting where your cooperative team contributes new perspectives to your objectives and forges strong bonds.
• Growth mindset: You are nurtured through each stage of your professional advancement by learning and unlearning new things.

The role is office-based, working from Monday to Friday 9:00 AM to 06:00 PM & all Saturdays & Sundays are off.

Hi,

Requirements:

>5+ years of IT experience in the development of scalable consumer-facing digital solutions (consumer websites, web applications, mobile sites etc) in HTML, CSS3 and JavaScript framework is required

>Strong understanding of semantic HTML/HTML5, CSS/CSS3.
>Experience in frameworks like Bootstrap, Foundation and CSS preprocessors like SASS and LESS.
>Strong knowledge of JS-based build tools like Grunt, Gulp, and Webpack
>Experience in javaScript with a good grasp of advanced JavaScript-based Vue JS, React JS and Angular JS
>Experience with implementing SVG animations and expertise in GreenSock(GSAP) will be an add on qualification.
>Proficient understanding of code versioning tools, such as Git
>Knowledge of HTML5 responsive email development is desirable.

>A Bachelors of Computer Science or a related field is required

 Soft Skills:

> Quality driven and extremely detail-oriented
> Strong work ethic
> Communicates clearly, effectively, and quickly - both verbally and written
>Ability and willingness to continuously learn, explore and master emerging technologies.

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams