Record to Analyze Process Expert
YOUR ROLE
We are looking for a candidate who would be responsible for processing complex transactions, resolving complex process related issues, preparation and finalization of the period and close activities and reporting (including the interactions with Client’s Financial Controllers) and performing and reviewing the reconciliations. The candidate will manage team of individuals and support them in the daily activities as well as in their development and manage the Client relationship, usually on the local country level.
In this role you will play a key role in:
- Reviewing and approving of General Ledger Journals, Accruals, Provisions, Allocations and other entries according to the schedule and agreed Client Desktop Procedures
- Initiation of accounting entries based on the non-standard events and accounting rules not directly described in the Desktop Procedures, but resulting from other Policies and Accounting Manuals
- Reviewing of fixed asset related entries, based on the requests and according to schedule and agreed Client Desktop Procedures
- Monitoring fixed assets related transactions and budgets and contacting the fixed asset owners to initiate the fixed asset capitalization
- Reviewing bank statements reconciliations, as well as balances on the sub bank accounts
- Monitoring the status of Intercompany reconciliations and agreement of Intercompany balances with counterparties
YOUR PROFILE
- Monitoring the status of Intercompany reconciliations and agreement of Intercompany balances with counterparties
- Monitoring the status of Intercompany netting / settlements
- Preparation and execution of Period End Close related activities according to agreed time table and procedures
- Monitoring of Period End Close progress, interacting (and escalating if required) with Client’s Finance Controllers or Process Owners to ensure timely closure and reporting
- Preparation of Period End Reporting packs (i.e. Trial Balance review) and its review and sign off with Clients Financial Controllers
- Reconciliation of medium / high risk balance sheet accounts and review of low/medium risk reconciliations
- Review of operational reports from the area of expertise and adding the analytical insights to it.
WHAT YOU’LL LOVE ABOUT WORKING HERE
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, flexible work hours or alternative work schedules, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Associate Business Advisor
Job Description
Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution.
Job Description – Grade Specific
Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge.
Senior Software Engineer
Job Description
Job Description – Grade Specific
Is fully competent in its own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internalorexternal client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific projectorwork area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area.
NOC Automation Engineer / Business Analyst
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role.
Job Description – Grade Specific
Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Golang Developer
Your Role
We are seeking a highly skilled GoLang Developer with strong expertise in IoT systems to design and build scalable, high-performance backend platforms for connected devices and edge ecosystems. The role involves working on IoT data pipelines, edge computing, and real-time device integration, ensuring secure and scalable solutions across distributed environments.
Design, develop, and maintain high-performance backend services in GoLang for IoT platforms
Integrate IoT platforms with cloud services (AWS/Azure IoT Hub, edge gateways)
Collaborate with hardware, firmware, and DevOps teams for seamless system integration
Ensure secure device onboarding, authentication, and lifecycle management
Optimise systems for low latency, high throughput, and edge performance
Develop and maintain microservices architectures and APIs
Participate in code reviews, CI/CD processes, and testing workflow
Troubleshoot production issues and ensure system reliability and scalability
Your Profile
Expert-level GoLang programming with strong concurrency (goroutines, channels)
Extensive experience in microservices architecture and REST APIs
Experience with edge computing / device-to-cloud integration
Hands-on with Docker & Kubernetes (containerised deployments)
Expertise in data streaming platforms (Kafka / RabbitMQ / MQTT brokers)
Knowledge of authentication & security (OAuth2, TLS, device certificates)
Experience in CI/CD pipelines and Git-based workflows
What will you love working at Capgemini
You will have the opportunity to learn on one of the industry’s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and ‘Battery Energy Storage Solution’ (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.
Cloud, Data Science & AI Architect
Roles & Responsibilities
- Define and own the end-to-end architecture for enterprise cloud, data, analytics, machine learning and Generative AI platforms.
- Architect and lead the development of scalable cloud and data platforms supporting digital transformation, business intelligence, advanced analytics and AI initiatives.
- Design cloud-native, distributed and microservices-based solution architectures on AWS, Microsoft Azure or Google Cloud Platform.
- Define scalable data architectures for batch, streaming, event-driven and real-time processing workloads.
- Design enterprise data platforms covering data ingestion, transformation, storage, metadata management, governance, analytics and consumption.
- Architect data-lake, data-warehouse and lakehouse solutions using platforms such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Synapse or equivalent technologies.
- Design cloud-native data products, APIs and reusable services that enable business intelligence, advanced analytics and AI applications.
- Lead the architecture and deployment of machine-learning solutions, including model development, feature engineering, deployment, monitoring, retraining and lifecycle management.
- Define and implement MLOps architectures using platforms and tools such as MLflow, Azure Machine Learning, Amazon SageMaker or equivalent technologies.
- Lead the design of Generative AI solutions using large language models, retrieval-augmented generation, vector databases, prompt engineering and agent-based frameworks.
- Define AI orchestration patterns for intelligent assistants, copilots, autonomous agents and domain-specific AI applications.
- Design and optimise enterprise-grade data pipelines to ensure reliable, scalable and high-quality data processing.
- Architect streaming and real-time analytics solutions using Apache Kafka, Amazon Kinesis, Apache Pulsar, Apache Flink, Spark Streaming or equivalent technologies.
- Establish data-modelling, indexing, partitioning, caching and performance-optimisation standards for relational, NoSQL and analytical data stores.
- Design integration frameworks using APIs, event-driven architectures, messaging platforms and enterprise data ecosystems.
- Work closely with data scientists, data engineers, cloud engineers, software architects, product teams and business stakeholders to deliver end-to-end solutions.
- Establish architecture standards and best practices for cloud engineering, data engineering, DataOps, MLOps, DevSecOps, security, governance and operational excellence.
- Define modern CI/CD, automated-testing and Infrastructure-as-Code practices using Terraform, CloudFormation, Bicep or equivalent technologies.
- Ensure that cloud, data and AI solutions comply with enterprise requirements for security, privacy, regulatory compliance, data sovereignty and responsible AI.
- Define observability, monitoring, reliability, high-availability, disaster-recovery and cost-optimisation strategies.
- Evaluate emerging cloud, analytics, data science and AI technologies and recommend appropriate enterprise adoption strategies.
- Conduct architecture assessments, technology evaluations, proofs of concept and solution trade-off analyses.
- Collaborate with business and technology stakeholders to define technical roadmaps, target-state architectures and phased implementation strategies.
Job Description – Grade Specific
- Extensive experience designing scalable, secure and highly available enterprise solutions on AWS, Microsoft Azure or Google Cloud Platform.
- Strong understanding of cloud-native, distributed, event-driven and microservices-based architectures.
- Deep expertise in designing and implementing enterprise data platforms covering ingestion, processing, storage, governance, analytics and data consumption.
- Strong experience with data-lake, data-warehouse and lakehouse architecture patterns.
- Hands-on experience with data-engineering platforms such as Apache Spark, Databricks, Snowflake, Google BigQuery, Azure Synapse Analytics, Microsoft Fabric or equivalent technologies.
- Strong experience with relational, NoSQL and analytical databases, including data modelling, indexing, partitioning and performance optimisation.
- Experience designing batch, near-real-time and real-time data-processing solutions.
- Hands-on experience with streaming platforms such as Apache Kafka, Amazon Kinesis, Apache Pulsar, Apache Flink or Spark Streaming.
- Strong understanding of machine-learning and AI lifecycle management, including data preparation, model development, validation, deployment, monitoring, retraining and governance.
- Experience designing and implementing enterprise MLOps platforms and practices.
- Hands-on experience with tools such as MLflow, Azure Machine Learning, Amazon SageMaker or equivalent platforms.
- Strong experience building Generative AI applications using large language models and retrieval-augmented generation architectures.
- Experience with prompt engineering, model orchestration, grounding, evaluation, guardrails and responsible-AI practices.
- Experience designing agent-based and multi-agent AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel or equivalent technologies.
- Experience with vector databases and semantic-search platforms such as Pinecone, Weaviate, Azure AI Search, OpenSearch, pgvector or equivalent technologies.
- Proficiency in Python and SQL, together with working knowledge of at least one additional language such as Java, Golang or Node.js.
- Experience developing and deploying cloud-native APIs, microservices and data services.
- Strong understanding of API management, service integration and event-driven integration patterns.
- Experience with Kubernetes, Docker, serverless computing and container-based deployment architectures.
- Familiarity with modern CI/CD, DataOps, MLOps, Infrastructure as Code and DevSecOps practices.
- Hands-on experience with Terraform, CloudFormation, Bicep or equivalent automation technologies.
- Strong knowledge of enterprise data governance, metadata management, lineage, data quality, master-data management and access controls.
- Experience with cloud and data security, including encryption, identity and access management, key management, network security and secure data sharing.
- Understanding of regulatory, privacy and compliance requirements applicable to enterprise data and AI platforms.
- Familiarity with business-intelligence and visualisation platforms such as Power BI, Tableau or Looker.
- Experience in the energy, utilities, manufacturing, rail, industrial or other asset-intensive industries would be advantageous.
Test Automation Engineer
Job Description
Your Role
- Design, develop, and maintain UI automation scripts using Playwright and Selenium WebDriver.
- Implement API automation using Rest Assured for validating RESTful services.
- Create and execute end‑to‑end test scenarios for both web and API applications.
- Integrate automated tests into CI/CD pipelines using tools such as Jenkins, Azure DevOps, and Git.
- Collaborate closely with developers, QA engineers, and product teams to define test strategies and acceptance criteria.
- Ensure high‑quality software delivery by contributing to test planning, automation strategy, and continuous improvement initiatives.
Your Profile
- 6+yrs strong programming skills in Java, with a solid understanding of automation best practices.
- Hands‑on experience with Playwright and Selenium WebDriver for UI automation.
- Expertise in API testing using Rest Assured.
- Good understanding of HTTP/REST, JSON/XML, and web services.
- Familiarity with CI/CD tools such as Jenkins and Azure DevOps, and version control using Git.
- Knowledge of SQL for data validation and backend testing.
- Experience working in Agile/Scrum environments.
Chartered Accountant (CA) – GL Accounting
Your role
- Prepare and review statutory financial statements (IND AS) and IFRS reporting, including notes to accounts, and support external audits and group consolidation requirements.
- Manage stakeholder relationships with statutory, internal, and group auditors to ensure timely and smooth audit completion.
- Serve as the accounting and reporting SME, evaluating regulatory/accounting changes and implementing controls and processes for compliance.
- Oversee accounting operations and month-end close, ensuring accurate, timely recording of financial transactions and adherence to internal controls.
- Review monthly, quarterly, and annual financial results, analyze P&L and Balance Sheet variances, and prepare management presentations and performance dashboards.
- Drive process improvements and automation, resolve financial reporting queries, and support regulatory, banking, tax, and management information requirements.
Your profile
- Must be a Chartered Accountant
- Must be proficient in accounting standards both IndAS and IFRS and other regulatory requirements for financial reporting
- Must have organizational, analytical and problem-solving skills
- Show initiative, be a self-starter, ability to work independently and at the same time also able to handle a team of qualified and semi-qualified Chartered Accountants
- Familiarity with databases and the ability to summarize large volume of excel data
What you’ll love about working here
- We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
- Every Monday, kick off the week with a musical performance by our in-house band – The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Business Advisor
Job Description
Business Advisors shape the vision with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution.
Job Description – Grade Specific
Conducts appropriate meetingsorworkshops to elicitorunderstand and document the business requirements using their domain expertise. In addition, may also produce process and data models of the current andoror future state.
Edge and IOT Architect
Roles & Responsibilities
- Define and own the end-to-end architecture of enterprise IoT solutions covering edge computing, device connectivity, data ingestion, streaming, cloud platforms, data storage, analytics, APIs and user applications.
- Contribute to the architecture and development of reusable IoT platforms and solutions spanning Edge to Cloud.
- Design scalable, distributed and multi-tenant SaaS platform architectures for IoT products and connected applications.
- Develop, test and integrate cloud Platform-as-a-Service services to build applications accessible through web and mobile interfaces.
- Design and guide the implementation of cloud-native applications and microservices on AWS, Microsoft Azure or Google Cloud Platform.
- Define appropriate edge-processing patterns, device-management approaches, connectivity protocols and offline or intermittent-connectivity strategies.
- Architect real-time data-ingestion and event-streaming solutions using platforms such as Apache Kafka, Amazon Kinesis or Apache Pulsar.
- Design secure and high-performing RESTful, event-driven and public APIs for integration with devices, enterprise systems, partner platforms and third-party applications.
- Work across product, engineering, data, security, DevOps and user-experience teams to integrate platform components through well-defined public and internal APIs.
- Define NoSQL and relational database architectures, including data modelling, indexing, partitioning, retention, performance and scalability considerations.
- Provide hands-on architectural guidance for applications developed using .NET, Golang or Python and modern user-interface frameworks such as React or Angular.
- Establish cloud-infrastructure, observability, reliability, security, deployment and operational architecture standards.
- Define modern CI/CD, infrastructure-as-code, automated-testing and release-management practices suitable for SaaS-based product releases.
- Evaluate technology alternatives, undertake architecture trade-off assessments and create reference architectures, solution blueprints and implementation roadmaps.
- Support technical discovery, solutioning, estimations, proposals, client workshops and architecture governance for strategic IoT and edge-computing opportunities.
- Where applicable, design AI-enabled IoT capabilities using retrieval-augmented generation, machine learning and intelligent analytics architectures.
Our Ideal Candidate
- Extensive experience designing scalable, distributed and cloud-native enterprise solutions or SaaS products.
- Strong understanding of end-to-end IoT architectures, including devices, gateways, edge computing, connectivity, telemetry ingestion, device management, cloud platforms and applications.
- Hands-on experience architecting and building IoT applications and connected-product platforms.
- Strong experience with cloud infrastructure and managed services on at least one major cloud platform: AWS, Microsoft Azure or Google Cloud Platform.
- Experience with IoT services such as AWS IoT, Azure IoT, Google Cloud-based IoT patterns or equivalent enterprise IoT platforms.
- Strong understanding of edge-computing architectures, local processing, protocol translation, remote management and edge-to-cloud integration.
- Experience with device and industrial communication protocols such as MQTT, AMQP, HTTP, OPC UA, Modbus or similar protocols.
- Strong knowledge of relational and NoSQL database design, data modelling, indexing, partitioning and performance optimization.
- Hands-on experience with at least one event-streaming or real-time data platform such as Apache Kafka, Amazon Kinesis or Apache Pulsar.
- Strong professional experience developing applications using one or more of .NET, Golang or Python.
- Experience designing and implementing APIs for cloud-native applications, including RESTful and event-driven integration patterns.
- Familiarity with building rich web applications using React or Angular and integrating them with cloud-based backend platforms.
- Good understanding of microservices, containers, Kubernetes, serverless computing and API-management technologies.
- Familiarity with modern CI/CD, DevSecOps, infrastructure-as-code, automated testing and SaaS release-management practices.
- Knowledge of cloud and IoT security, including device identity, certificate management, authentication, authorization, encryption and secure communications.
- Experience defining high-availability, disaster-recovery, observability, monitoring and operational-support architectures.