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SAP ABAP project lead<h4>Company Description</h4>About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it.<h4>Job Description</h4>SAP ABAP - Project Lead<ul><li>Experience       : 8 years to 10 years</li><li>Work Location : Bangalore</li><li>Work Mode       : Hybrid (3 days office every week)</li></ul> Qualification &amp; Experience:As an expert SAP ABAP developer, he/she should understand business processes, technical architecture of SAP landscape and define/suggest SAP best practices and Golden rules. Your area of responsibility will extend to development, root cause analysis, performance improvement and source code auditing.He/She needs to have a strong customer focus. The candidate will work in an international, distributed and multi-functional team; using an agile mind-set and methodology.1) Graduate with 8+ years of experience in SAP ABAP2) Expertise in DDIC, reports, interfaces, enhancements, BADIs, BAPIs, forms.3) Excellent debugging skills. Ablility to analyse code and suggest improvements.4) Interfaces: ALE/IDOC, RFC, Proxies, OData5) Good to have exposure to S4HANA and ABAP on HANA6) Understanding of business process, functional and technical knowledge preferably in MM, PP, QM modules 7) Experience in UI5 would be an added advantage8) Strong problem solving and analytical skills9) Experience in Agile Scrum/Safe methodologies is preferred10)  Experience in Customer facing roles This job requires the awareness of the compliance risks we face in day-to-day responsibilities. Continuous commitment to act with integrity with each other, with your communities, business partners and suppliers is the foundation of your success and sustainable growth. Success Metrics Success will be measured in a variety of areas, including but not limited to<ol><li> Consistently ensure the on-time delivery and quality (first-time-right) of the projects</li><li>Bring innovative cost effective solutions</li><li>Achieving customer satisfaction</li><li>Agile mind-set, collaborative way of working</li></ol><h4>Qualifications</h4>B.E / B.Tech / M.E / M.Tech / MCA<h4>Additional Information</h4>At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.All of our positions are open to people with disabilities.<h4>Experience Level</h4>Senior Level

Sopra Steria India Limited

SAP Consultant

Fusion BI Publisher EngineerSkills &amp; Qualifications <ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field.</li><li>2–6 years of hands-on experience in Oracle BI Publisher (standalone or integrated with ERP systems).</li><li>Strong knowledge of SQL, PL/SQL, XML, XSL, and RTF templates.</li><li>Experience with Oracle E-Business Suite (EBS), Oracle Fusion Cloud, or PeopleSoft reporting.</li><li>Familiarity with Oracle OTBI, Analytics Cloud (OAC), or OBIEE is an added advantage.</li><li>Strong problem-solving and debugging skills.</li><li>Ability to work independently as well as in a team-oriented environment.</li><li>Good communication and stakeholder management skills.</li></ul> Preferred<ul><li>Knowledge of ERP modules (Finance, Procurement, HR, SCM, etc.).</li><li>Exposure to migration projects from EBS to Oracle Cloud.</li></ul><ul><li>Design, develop, and maintain reports and dashboards using Oracle BI Publisher (BIP).</li><li>Work with business teams to gather and analyze reporting requirements.</li><li>Build and optimize data models, data sets, and XML data sources for BI Publisher reports.</li><li>Develop RTF, Excel, PDF, and other template formats in BI Publisher.</li><li>Integrate BI Publisher reports with Oracle ERP (EBS / Fusion / Cloud) or other enterprise applications.</li><li>Ensure reports are aligned with business needs, performance standards, and compliance requirements.</li><li>Troubleshoot and resolve issues related to report generation, formatting, or data inconsistencies.</li><li>Collaborate with functional and technical teams to deliver end-to-end reporting solutions.</li><li>Support report migration, performance tuning, and version upgrades.</li></ul> Career Level - IC2As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Oracle India Private Limited

BI Developer

Software Engineer III - SalesforceWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the  Consumer and community banking- CBC technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities <ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>  Required qualifications, capabilities and skillls <ul><li>Formal training or certification on salesforce concepts and 3+ years applied experience</li><li>Hands-on practical experience in system design, application development, testing, and operational stability</li><li>Proficient in coding in one or more languages</li><li>Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>Experience in quality assurance and testing, with a focus on Salesforce, backend services, API testing, UI testing, and automation.</li><li>Strong coding skills in Java, with experience in Selenium, BDD Cucumber, Maven, JUnit, and Rest Assured.</li><li>Solid understanding of software development lifecycle (SDLC) and QA processes</li><li>Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>  Preferred qualifications, capabilities, and skills <ul><li>Familiarity with modern front-end technologies</li><li>Salesforce certification(s) or experience with Salesforce development and customization.</li><li>Experience with Automation testing and tech stack like Selenium , Maven , TestNG , Junit, BDD Cucumber .</li><li>Familiarity with other programming languages and testing tools.</li></ul>   <h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Software Engineer 1

Boomi Integration ConsultantJob Description:<ol><li>Implement technical solutions related to enterprise integration, APIs, and technology modernizations using Dell Boomi platform.</li><li>Work closely with product owners, architects, senior engineers, technology leads to understand and clarify requirements</li><li>Design and develop highly scalable industry-leading applications and integration solutions</li><li>Provide technical guidance to the team members and ensuring that project timelines and quality standards are met </li><li>Produce system design documents and lead technical walkthroughs</li><li>Continuously improve the architecture and quality of the code</li><li>Develop Integration Solution outline documents</li><li>Lead small development teams</li><li>Lead Testing and go-live activities</li></ol>Must-Have Skills:<ol><li>Design, Develop, troubleshoot, deploy, Monitor and manage Boomi integrations</li><li>Experience with REST and SOAP web services design and development, with experience on XML, XSLT, JSON handling complex Message Transformation</li><li>Knowledge on Boomi Runtime and Deployment Process</li><li>API Security implementation </li><li>Understand Requirements and Design Solutions, Collaborate with stakeholders to understand requirements and implement fit-for-purpose Boomi solutions that meet business needs </li><li>Establish and Ensure Adherence to Standards: Performs technical design activities and ensure adherence to standards, ensuring consistency and quality across deliverables.</li><li>Presales support experience in solutioning and estimations for the integration requirements</li><li>Boomi Professional Developer Certification is Preferred.</li><li>Experience in performance tuning, scalability, and reliability.</li></ol>Good to have:<ol><li>Exposure to Boomi DataHub implementation</li><li>Exposure to at least some scripting languages and automation tools (Jenkins, Maven, Rundeck, Python, Shell, etc.).</li><li>Exposure to other integration technologies like MuleSoft ESB ( mandatory ) and other products/platforms like Oracle IPAAS , Oracle CS , IBM Integration Bus (IIB), Azure LogicApps/Functions.</li><li>Good knowledge of software development methodologies - Agile /Scrum, waterfall, PMO/Service delivery tools, standards and procedures for high-quality software development, In-depth experience using Agile, Scrum and iterative development practices a plus.</li><li>Strong Knowledge of databases, data modeling and normalization</li><li>Knowledge of Release automation and CI/CD using Azure DevOps or Jenkins</li></ol> <h4>Experience Level</h4>Senior Level

Kpmg India Services Llp

Technical Consultant

Associate Director (AI Hub GTS)Roles &amp; responsibilitiesHere are some of the key responsibilities of Application architect: 1.Develop the overarching technical vision for AI systems that support both current and future business needs.2.Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices.3.Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources.4.Lead the design of reference architectures, roadmaps, and best practices for AI applications.5.Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy.6.Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.7.Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.8.Ensure the architecture supports scalability, reliability, maintainability, and security best practices.9.Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks.10.Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization.11.Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation.12.Provide mentorship to engineering teams and foster a culture of continuous learning.13.Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices.Mandatory  technical &amp; functional skills•The ideal candidate should have a strong background in machine learning, NLP and frontend skills like Angular, ReactJS.•Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras.•Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions.•Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD.•Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments.•Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.•Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture.  - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications.•Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops•Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance.Preferred technical &amp; functional skills•Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools.•Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc )Key behavioral attributes/requirements•Ability to mentor junior developers•Ability to own project deliverables and contribute towards risk mitigation•Understand business objectives and functions to support data needsRoles &amp; responsibilitiesHere are some of the key responsibilities of Application architect: 1.Develop the overarching technical vision for AI systems that support both current and future business needs.2.Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices.3.Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources.4.Lead the design of reference architectures, roadmaps, and best practices for AI applications.5.Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy.6.Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.7.Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.8.Ensure the architecture supports scalability, reliability, maintainability, and security best practices.9.Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks.10.Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization.11.Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation.12.Provide mentorship to engineering teams and foster a culture of continuous learning.13.Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices.Mandatory  technical &amp; functional skills•The ideal candidate should have a strong background in machine learning, NLP and frontend skills like Angular, ReactJS.•Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras.•Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions.•Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD.•Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments.•Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.•Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture.  - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications.•Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops•Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance.Preferred technical &amp; functional skills•Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools.•Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc )Key behavioral attributes/requirements•Ability to mentor junior developers•Ability to own project deliverables and contribute towards risk mitigation•Understand business objectives and functions to support data needsThis role is for you if you have  the belowEducational qualifications-Bachelor’s/Master’s degree in Computer Science-Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have)Work experience: 9-14 Years of Experience<h4>Experience Level</h4>Mid Level

Senior Application Developer

Principal Engineer (Data Platform) - GNS - BLRHiring for a leading digital security company has client across global.Job Title: Principal Engineer – Data Platform We are looking for a seasoned Principal Engineer to lead the design and development of next-generation data pipelines that enable near real-time ingestion and processing of massive datasets using cloud-native and open-source technologies. Why Join<ul dir="ltr"><li>Work on cutting-edge challenges at the intersection of big data, security, and cloud computing. </li><li>Shape the direction of high-impact, global-scale data products. </li><li>Collaborate with top industry experts while strengthening your technical and architectural depth. </li></ul>Key Responsibilities <ul dir="ltr"><li>Architect and build scalable, fault-tolerant, low-latency data pipelines for real-time/near real-time processing. </li><li>Partner with cross-functional teams to design innovative solutions for complex data and security problems. </li><li>Evaluate, adopt, and contribute to open-source technologies that enhance the data platform ecosystem. </li><li>Influence product and engineering teams by providing guidance on architecture and platform best practices. </li><li>Act as a thought leader, driving technical direction and innovation within the data engineering domain. </li></ul>Required Skills &amp; Experience <ul dir="ltr"><li>Experience range more than 12+ years. </li><li>Extensive experience architecting and scaling real-time/near real-time data systems. </li><li>Strong analytical and problem-solving skills, with ability to simplify complex technical challenges. </li><li>Deep expertise in distributed systems, concurrency, and performance optimization. </li><li>Proficiency in Golang, Java, or similar languages. </li><li>Solid understanding of gRPC streaming, serialization formats (Protobuf, Avro), and distributed security models (TLS, authentication, authorization). </li><li>Hands-on experience with distributed object storage (S3, GCS) and data formats (Parquet, Iceberg), including optimization for scale and performance. </li><li>Strong background in cloud-native data infrastructure (AWS, GCP, etc.). </li><li>Excellent communication skills and proven ability to influence and align teams globally. </li></ul><h4>Experience Level</h4>Senior Level

Getinz Techno Services

Chief Engineer

Senior Staff Software Engineer, Google Distributed Cloud Hosted<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.
</li><li>8 years of experience in software development.</li><li>7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.</li><li>5 years of experience with design and architecture and testing/launching software products.</li><li>Experience in working with kubernetess, micro-service architecture and public cloud infrastructure.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master’s degree or PhD in Engineering, Computer Science, or a related technical field.</li><li>8 years of experience with data structures/algorithms.</li><li>5 years of experience in a technical leadership role leading project teams and setting technical direction.</li><li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</li><li>Experience in building and scaling observability platforms.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Google Distributed Cloud (GDC) air-gapped provides Google Cloud services on-site, in an environment completely disconnected from the public internet. This solution is for organizations with the strictest security and data compliance requirements. Air-Gapped is Physically and logically isolated, with no external network connection and On-Premises is deployed directly at the customer's location. The Managed Cloud delivers a cloud-like experience with Google's managed services.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<h4>Responsibilities</h4><ul><li>Understand the life cycle of modern software delivery in air-gapped data centers.</li><li>Design and implement key components to meet product requirements.</li><li>Play the role of an Uber Tech Lead (UTL) spanning across the various components of the GDC air-gapped stack.</li><li>Partner with UTLs/TLs across geographies (US/India) to help drive/shape product architecture and direction.</li><li>Work seamlessly with Engineering, Product, GTM, and customers, to meet requirements for functionality, compliance, reliability, etc.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Senior Software Engineer

Senior Engineer (AI Hub GTS)Roles &amp; responsibilitiesHere are some of the key responsibilities of an AI Engineer : 

 1.Design and develop AI Application with strong frontend and backend skills. Deploy, maintain, and support application across all the environments, ensuring seamless integration with front-end and back-end systems.


 2.Ability to scale up the deployed applications using container services, strong experience in building the pipeline to meet the performance benchmarks.


 3.Conduct business analysis to gather requirements and develop scripts, and pipelines that meet technical specifications for business needs, utilizing both server-side and client-side technologies.


 4.Develop real-time data ingestion and stream-analytic solutions utilizing technologies such as Python (preferably Spark clusters), and cloud platforms to support AI applications. Utilize multiple programming languages and tools, including Python Java, and frontend frameworks, preferably Angular to build prototypes for AI models and evaluate their effectiveness and feasibility.


 5.Develop application systems that adhere to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack.


 6.Provide system support as part of a team rotation, collaborating with other engineers to resolve issues and enhance system performance, including both front-end and back-end components.


 7.Operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring they align with organizational needs and user interfaces.


 8.Ensure compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects.


 9.Understand and follow the company’s software development lifecycle to effectively develop, deploy, and deliver AI solutions.


 10.Design and develop AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications. Lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members.

Mandatory  technical &amp; functional skills

 •Strong programming skills on Python/R, Java and hands on experience in building backend services with frameworks like FastAPI, Flask, Django.


 •Experience with prompt engineering and building AI applications using frameworks like LangChain/LlamaIndex /LlamaPrase/LlamaCloud/Semantic Kernel etc.


 •Developed analytical/modeling solutions using variety of commercial and open-source tools. Strong experience with Machine learning, Deep Learning algorithms.


 •Full-Stack Development: Proficiency in front-end and back-end technologies, including JavaScript frameworks (e.g., React, Angular), to build and integrate user interfaces with AI models and data solutions.

Preferred technical &amp; functional skills

 •Data Management: Design, implement, and manage AI-driven data solutions on the Microsoft Azure cloud platform, ensuring scalability and performance.


 •Technical Skills: Strong proficiency in Databricks/Fabric/Spark Notebooks, SQL/NoSQL databases, Redis, and other data engineering tools, as well as familiarity with


 •Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python and Hadoop Platform and any Cloud Data Platform. 


 •Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle, analyze, and process large datasets for machine learning and AI applications.


 •Certifications: Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate, Azure AI Engineer or any other cloud certification are a plus.

Key behavioral attributes/requirements

 •Collaborative Learning: Open to learning and working with others.


 •Project Responsibility: Able to manage project components beyond individual tasks.


 •Business Acumen: Strive to understand business objectives driving data needs.

Roles &amp; responsibilitiesHere are some of the key responsibilities of an AI Engineer : 

 1.Design and develop AI Application with strong frontend and backend skills. Deploy, maintain, and support application across all the environments, ensuring seamless integration with front-end and back-end systems.


 2.Ability to scale up the deployed applications using container services, strong experience in building the pipeline to meet the performance benchmarks.


 3.Conduct business analysis to gather requirements and develop scripts, and pipelines that meet technical specifications for business needs, utilizing both server-side and client-side technologies.


 4.Develop real-time data ingestion and stream-analytic solutions utilizing technologies such as Python (preferably Spark clusters), and cloud platforms to support AI applications. Utilize multiple programming languages and tools, including Python Java, and frontend frameworks, preferably Angular to build prototypes for AI models and evaluate their effectiveness and feasibility.


 5.Develop application systems that adhere to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack.


 6.Provide system support as part of a team rotation, collaborating with other engineers to resolve issues and enhance system performance, including both front-end and back-end components.


 7.Operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring they align with organizational needs and user interfaces.


 8.Ensure compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects.


 9.Understand and follow the company’s software development lifecycle to effectively develop, deploy, and deliver AI solutions.


 10.Design and develop AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications. Lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members.

Mandatory  technical &amp; functional skills

 •Strong programming skills on Python/R, Java and hands on experience in building backend services with frameworks like FastAPI, Flask, Django.


 •Experience with prompt engineering and building AI applications using frameworks like LangChain/LlamaIndex /LlamaPrase/LlamaCloud/Semantic Kernel etc.


 •Developed analytical/modeling solutions using variety of commercial and open-source tools. Strong experience with Machine learning, Deep Learning algorithms.


 •Full-Stack Development: Proficiency in front-end and back-end technologies, including JavaScript frameworks (e.g., React, Angular), to build and integrate user interfaces with AI models and data solutions.

Preferred technical &amp; functional skills

 •Data Management: Design, implement, and manage AI-driven data solutions on the Microsoft Azure cloud platform, ensuring scalability and performance.


 •Technical Skills: Strong proficiency in Databricks/Fabric/Spark Notebooks, SQL/NoSQL databases, Redis, and other data engineering tools, as well as familiarity with


 •Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python and Hadoop Platform and any Cloud Data Platform. 


 •Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle, analyze, and process large datasets for machine learning and AI applications.


 •Certifications: Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate, Azure AI Engineer or any other cloud certification are a plus.

Key behavioral attributes/requirements

 •Collaborative Learning: Open to learning and working with others.


 •Project Responsibility: Able to manage project components beyond individual tasks.


 •Business Acumen: Strive to understand business objectives driving data needs.

This role is for you if you have  the belowEducational qualifications

 -Bachelor’s / Master’s degree in Computer Science

Work experience3-5 years of experience (min 2 years of experience in AI applications)<h4>Experience Level</h4>Senior Level

Automation Process Engineer

Assistant Manager - SA2 (AI Hub GTS)Roles &amp; responsibilitiesHere are some of the key responsibilities of AI Tech Lead: 1.Work on the Implementation and Solution delivery of the AI applications leading the team across onshore/offshore and should be able to cross-collaborate across all the AI streams.2.Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools.3.Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy. Work along with data engineering teams to ensure smooth data flows, quality, and governance across data sources.4.Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications.5.Fast adaptability with the emerging technologies and methodologies, recommending proven innovations.6.Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.7.Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.8.Ensure the implementation supports scalability, reliability, maintainability, and security best practices.9.Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks.10.Oversee the lifecycle of AI application development—from design to development, testing, deployment, and optimization.11.Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation.12.Provide mentorship to engineering teams and foster a culture of continuous learning.Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices.Mandatory  technical &amp; functional skills•The candidate should have a strong background in working or developing agents using langgraph, autogen, or CrewAI.•Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras.•Understanding of Deep learning and NLP algorithms – RNN, CNN, LSTM, transformers architecture etc.•Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions.•Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture.  - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications.Preferred technical &amp; functional skills•Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD.•Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.•Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments.•Familiarity with open source model libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools.•Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops•Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc )•Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance.Key behavioral attributes/requirements•Ability to mentor junior developers•Ability to own project deliverables and contribute towards risk mitigationUnderstand business objectives and functions to support data needsRoles &amp; responsibilitiesHere are some of the key responsibilities of AI Tech Lead: 1.Work on the Implementation and Solution delivery of the AI applications leading the team across onshore/offshore and should be able to cross-collaborate across all the AI streams.2.Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools.3.Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy. Work along with data engineering teams to ensure smooth data flows, quality, and governance across data sources.4.Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications.5.Fast adaptability with the emerging technologies and methodologies, recommending proven innovations.6.Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.7.Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.8.Ensure the implementation supports scalability, reliability, maintainability, and security best practices.9.Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks.10.Oversee the lifecycle of AI application development—from design to development, testing, deployment, and optimization.11.Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation.12.Provide mentorship to engineering teams and foster a culture of continuous learning.Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices.Mandatory  technical &amp; functional skills•The candidate should have a strong background in working or developing agents using langgraph, autogen, or CrewAI.•Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras.•Understanding of Deep learning and NLP algorithms – RNN, CNN, LSTM, transformers architecture etc.•Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions.•Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture.  - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications.Preferred technical &amp; functional skills•Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD.•Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.•Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments.•Familiarity with open source model libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools.•Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops•Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc )•Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance.Key behavioral attributes/requirements•Ability to mentor junior developers•Ability to own project deliverables and contribute towards risk mitigationUnderstand business objectives and functions to support data needsThis role is for you if you have  the belowEducational qualifications-Bachelor’s/Master’s degree in Computer Science-Certifications in Cloud technologies (AWS, Azure, GCP)Work experience: 5-8 Years of Experience<h4>Experience Level</h4>Mid Level

Senior Software Automation Engineer

Consultant - Power Platform Developer (2)The Developer will be responsible for developing and maintaining custom Copilot Agents. The ideal candidate will have a strong background in AI and software development, as well as experience working collaboratively with cross-functional teams to deliver high-quality solutions that meet business requirements and enhance user experience.  <ul><li>Design and develop custom copilots</li><li>Design and build Power Automate Flows</li><li>Conduct testing and debugging</li><li>Provide training and support</li><li>Maintain and document developed solutions</li><li>Collaborate with onshore and offshore teams to ensure seamless project execution</li><li>Provide platform support, review platform feature requests, and address reported issues</li><li>Ensure timely delivery of project milestones and adherence to quality standards</li><li>Participate in design sessions with functional teams to gather requirements for custom copilot development</li><li>Review and validate copilots created by distributed developers meet all the governance requirements to be promoted to UAT / Production </li></ul><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>4+ years experience with Power Platform (Power Apps, Power Automate, M365 Copilot Studio)</li><li>Strong understanding of automation and agent workflows</li><li>Experience with RPA tools and intelligent document processing</li><li>Excellent communication and collaboration skills</li><li>Ability to work in a fast-paced environment and meet tight deadlines</li><li>Experience with project management tools and methodologies is a plus</li><li>Certification in Power Platform technologies is preferred</li></ul><h4>Experience Level</h4>Senior Level

Salesforce Developer

Sr Director of Software Engineering - MortgageYour opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible togetherAs a Senior Executive Director of Technology at JPMorgan Chase within the Private Bank Mortgage Transformation team, you will spearhead the strategy from India, working closely with global technology, product, and business partners. Your role will involve leveraging your technical expertise to automate the end-to-end business processes for Mortgage Origination, with a focus on enhancing the client digital journey and improving processes using the latest technology stack, AI/LLM, and more. You will play a pivotal role in ensuring the firm stays ahead of industry trends, best practices, and technological advancements. Supported by the CEO and business heads, your mission is to establish an Agentic Private Bank, with Mortgage as the initial pilot business area, by reimagining the entire process from start to finish, rethinking the operating model including organizational structures, and developing AI agents equipped with cutting-edge tools and technologies to fundamentally transform how we conduct this business. Job Responsibilities:<ul><li>Leads the Private Bank Mortgage Transformation initiative, leveraging the latest market trends, technologies, and AI/LLM wherever possible.</li><li>Oversees the development and implementation of a suite of applications for both internal bank users and external clients.</li><li>Provides architectural leadership and expertise in public and private cloud environments.</li><li>Manages large technology teams, ensuring effective team performance and development.</li><li>Engages and manage global stakeholders from business, technology, and product sectors, driving consensus and strategic execution for large-scale projects in the financial domain, with a preference for Mortgage/Lending knowledge.</li><li>Partners with external vendors and various technology teams within the Private Bank to achieve strategic objectives.</li></ul>  Required qualifications, capabilities, and skills <ul><li>Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization</li><li>Experience in managing large teams and organizations, with a track record of successful leadership in complex, matrixed environments.</li><li>Demonstrated ability to manage and influence global stakeholders and execute strategies for large-scale projects.</li><li>Experience, understanding and hands-on experience with Generative AI and Large Language Models (LLM).</li><li>Experience and understanding of service-oriented architecture, domain-driven design, micro front end and responsive UI development. Proficiency in Java and React.js, with practical experience in development and implementation.</li><li>Ability to partner effectively with external vendors and internal technology teams.</li><li>Java, Spring Boot, and Service-Oriented Architecture (SOA) with domain-driven design. UI, written in React.js, adhering to ADA compliance and excellent UX guidelines, utilizing micro-frontend and responsive design principles Preferred qualifications, capabilities, and skills</li><li>Experience in the financial domain,  with Mortgage/Lending knowledge.</li></ul><h4>Experience Level</h4>Senior Level

Staff Threat Research Engineer - GSK - BLRWe are seeking a skilled security researcher to design new security-focused integrations and develop advanced content for a next-generation Security Posture Management (SPM) platform. This role offers the opportunity to shape product direction, solve complex security problems, and deliver meaningful impact across enterprise SaaS environments. Why Join <ul dir="ltr"><li>Contribute to the design of an innovative platform that addresses critical enterprise security needs. </li><li>Tackle intellectually challenging problems with direct customer impact. </li><li>Enjoy high ownership, flexibility, and autonomy in how you approach research and solution design. </li><li>Collaborate in a supportive environment with competitive compensation and growth opportunities. </li></ul>Key Responsibilities <ul dir="ltr"><li>Develop security and compliance content that helps enterprises make accurate configuration and risk decisions. </li><li>Analyze SaaS application architectures, APIs, and data models to build security graphs for the SPM platform. </li><li>Research and address security gaps in SaaS environments, including compliance, visibility, and remediation strategies. </li><li>Explore new threat vectors and provide domain expertise across engineering, research, product, and customer success teams. </li><li>Publish security insights through articles, blogs, or conference presentations. </li><li>Mentor and guide a team of researchers in building high-quality security detections. </li></ul>Required Skills &amp; Experience <ul dir="ltr"><li>4–6 years of experience in the security domain (CSPM, DSPM, ASPM, or similar). </li><li>Strong understanding of information security, preferably with SaaS-specific expertise. </li><li>Hands-on experience in security analysis, SaaS deployment hardening, or security content development. </li><li>Proficiency in scripting languages (e.g., Python, Shell) for automation and problem-solving. </li><li>Knowledge of public cloud security and related solutions. </li><li>Experience working with databases (SQL) and big data frameworks (e.g., Spark, BigQuery). </li><li>Background in API-based automation or novel product development is highly desirable. </li></ul>Additional Skills <ul dir="ltr"><li>Strong communication and collaboration abilities. </li><li>Fast learner with creativity and adaptability in unfamiliar domains. </li><li>Detail-oriented with strong analytical thinking. </li><li>Comfortable working asynchronously in distributed teams. </li></ul><h4>Experience Level</h4>Senior Level

Assistant Facility Manager

Genpact

Deputy Project Manager

Lead Consultant - Batch OperationsLead Consultant - Batch Operations-ITO094269Ready to build the future with AI?   At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.     If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.     Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.   Inviting applications for the role of Lead Consultant - Batch Operations In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies. Responsibilities  <ul role="list"><li aria-setsize="-1" role="listitem">Manage “end of day” Batch incidents - partnership with application development and operational support partners </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Impact analysis of job abends – root case analysis </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Manage overall delays to the IM critical milestones, case of failures and notification to downstream teams </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Recovery instructions job and/or batch abends (mainframe and distributed) </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Communications on incidents greater than severity S5 </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Continuous focus on identifying and implementing opportunities to drive better efficiencies  </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Monitor critical milestone completion timelines and track any unexplained deviations </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Perform Batch ready for business (RFB) checkouts before start of business day </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Setup Batch alerts for new onboardings and fine tune existing ones </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Monitor alerts related to abends, long running jobs, platform exceptions including space, CPU's, that may be specific to platforms and application </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Develop and maintain Batch run books, review audit trails </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Leadership communication – Batch status and KPIs </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Review job level dependents, resource utilization patter, CPU consumption patterns and devise ways to optimize </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Batch time dependencies and white space analysis </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Development of Tool strategy - Adoption/In-house development of tools and dashboards </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">New batch onboardings - process development </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Planning, execution, support, collaboration and follow through with actionable related to of DR flips, DR / BCP / Isolation tests   </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Planning and support for Batch platform related events like Database, Network, Storage, schedulers, other tool version upgrades </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Ensure data in Prod and BCP environments are in sync  </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Review of Temporary Access requests / Get Access entitlements and grant/revoke as appropriate </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Support with the setup of Integration and conversion environment for Non-Production  </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Handle Batch escalations and unresolved issues from within the team, and to external business partners, and engineering teams </li></ul> Qualifications we seek in you!  Minimum Qualifications  <ul role="list"><li aria-setsize="-1" role="listitem">BE/B Tech/MCA  </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Excellent written and verbal communication skills  </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Basic understanding of Investment Management/financial services domain knowledge </li></ul>  Preferred Qualifications/ Skills  <ul role="list"><li aria-setsize="-1" role="listitem">Java, JavaScript (with ExtJS). Java Spring Boot </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">VB Script, Perl, HTML, Angular, Service Now </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">Shell Scripting, UIpath/Pega Bot scripting PRPC,  </li></ul><ul role="list"><li aria-setsize="-1" role="listitem">React, Python, Microservices </li></ul><ul role="list"><li aria-setsize="-1" role="listitem"> C#, .Net, ETL Informatica, C++,  Extjs, TypeScript, R-Code, XML/XSLT, SQL, T-SQL, PL/SQL, PHP, VB Script, Microsoft Power Platforms (Power Apps/Power Automate/ Power BI), Autosys, Informatica, BOXI/Crystal Reports, Comet, MQ, Cloud Fundamentals (Azure/AWS), Service Now, Pager Duty, Splunk, Prometheus, AppDynamics, Apica, Nagios, GitHub, SDLC, Jenkins, JIRA, Confluence, ESP, SQL Server, Snowflake, HVR, QlickView, Tableau, Linux, Windows, Postgres, DB2, Sybase, Oracle, Elasticsearch, Neo4J, Hazelcast, Networking Concepts, ITIL, Mainframe, Grafana Loki, Batch Flows and Architecture, Office Suite (Power Point, Excel, Word) </li></ul> Why join Genpact?   • Lead AI-first transformation – Build and scale AI solutions that redefine industries   • Make an impact – Drive change for global enterprises and solve business challenges that matter   • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills   • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace   • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we  build   • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress   Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.   Let’s build tomorrow together.    Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.    <h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job</h4> Lead Consultant<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Primary Location</h4> India-Bangalore<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Schedule</h4> Full-time<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Education Level</h4> Bachelor's / Graduation / Equivalent<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job Posting</h4> Sep 1, 2025, 10:48:42 AM<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Unposting Date</h4> OngoingMaster Skills List ConsultingJob Category Full Time<h4>Experience Level</h4>Senior Level

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