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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

JP Morgan Services India Pvt Ltd

Senior Software Engineer

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

Getinz Techno Services

Assistant Facility Manager

QA/SDET (Mobile Automation – Appium) What we’re looking for:<ul><li>5+ years of experience in QA/SDET roles</li><li>Strong expertise in Appium for mobile automation</li><li>Solid programming skills in Java/Python</li><li>Exposure to CI/CD pipelines (Jenkins, Git, Azure DevOps)</li><li>Experience in Banking/Payments domain is a plus!</li></ul> Share your updated resume now.

StatusNeo

Quality Assurance Associate

Senior Engineer (AI Hub GTS)Roles &amp; responsibilitiesHere are some of the key responsibilities of AI Research Scientist: 1.Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).2.Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Develop POCs and Showcase it to the stakeholders.3.Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments.4.Model Development and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the problem domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance.5.Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures.6.Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection.7.Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks.8.Technical Mentorship: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing.9.Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders.10.Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory  technical &amp; functional skills·Strong programming skills in Python and frameworks like PyTorch or TensorFlow.·Scientific understanding and In depth knowledge on Deep Learning - CNN, RNN, LSTM, Transformers LLMs ( BERT, GEPT, etc.) and NLP algorithms. Also, familiarity with frameworks like  Langgraph/CrewAI/Autogen to develop, deploy and evaluate AI agents.·Ability to test and deploy open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc.Hands-on ML platforms  offered through GCP : Vertex AI or  Azure : AI Foundry or AWS SageMakerPreferred technical &amp; functional skills—Ability to create detailed technical architecture with scalability in mind for the AI solutions. Ability to explore hyperscalers and provide comparative analysis across different tools.—Cloud computing experience, particularly with Google/AWS/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Google/AWS/Azure ( BigQuery/Synapse)—Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM OpsKey behavioral attributes/requirements—Ability to mentor junior developers—Ability to own project deliverables, not just individual tasksUnderstand business objectives and functions to support data needsRoles &amp; responsibilitiesHere are some of the key responsibilities of AI Research Scientist: 1.Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).2.Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Develop POCs and Showcase it to the stakeholders.3.Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments.4.Model Development and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the problem domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance.5.Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures.6.Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection.7.Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks.8.Technical Mentorship: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing.9.Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders.10.Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory  technical &amp; functional skills·Strong programming skills in Python and frameworks like PyTorch or TensorFlow.·Scientific understanding and In depth knowledge on Deep Learning - CNN, RNN, LSTM, Transformers LLMs ( BERT, GEPT, etc.) and NLP algorithms. Also, familiarity with frameworks like  Langgraph/CrewAI/Autogen to develop, deploy and evaluate AI agents.·Ability to test and deploy open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc.Hands-on ML platforms  offered through GCP : Vertex AI or  Azure : AI Foundry or AWS SageMakerPreferred technical &amp; functional skills—Ability to create detailed technical architecture with scalability in mind for the AI solutions. Ability to explore hyperscalers and provide comparative analysis across different tools.—Cloud computing experience, particularly with Google/AWS/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Google/AWS/Azure ( BigQuery/Synapse)—Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM OpsKey behavioral attributes/requirements—Ability to mentor junior developers—Ability to own project deliverables, not just individual tasksUnderstand business objectives and functions to support data needsThis role is for you if you have  the belowEducational qualifications-B.Tech/Masters (MS by Research)/PhD or equivalent degree in Computer Science-Preferences to candidates from Tier 1 Colleges as IITs, NITs, IIITs, IISc, Indian Statistical Institute, etc.Work experience3-5 Years of experience with strong record of publications (at least 4) in top tier conferences and journals<h4>Experience Level</h4>Senior Level

Kpmg India Services Llp

Senior Software Automation 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 mitigation

Understand 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 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)

Work experience: 5-8 Years of Experience<h4>Experience Level</h4>Mid Level

NLP Engineer StatusNeo is looking for passionate Data Science/NLP Engineers who are excited to solve real-world problems using cutting-edge Machine Learning and Natural Language Processing techniques. What you’ll work on:<ul><li>Building and deploying scalable ML/NLP solutions</li><li>Working with advanced models (LLMs, BERT, IndicNLP, etc.)</li><li>Contributing to innovative projects in AI &amp; Data</li></ul> What we’re looking for:<ul><li>Strong expertise in Python, TensorFlow, PyTorch</li><li>Experience with NLP frameworks (HuggingFace, SpaCy, IndicNLP, etc.)</li><li>Hands-on with tokenization, NER, embeddings, LLM fine-tuning</li><li>4-8 years of relevant experience</li></ul> Share your updated resume now.

Data Annotation Engineer

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

Salesforce Consultant

iOS Developer (Swift Specialist) We're hiring for below:Job Requisition: 330907Job Skill: iOS Developer with Swift SpecialistRelevant Experience:&nbsp;4 + yearsImmediate Joiners would be preferred. Share your resumes with:subject line: Name {year of experience } {notice period } { applying for which role and Job Requisition number}

Capgemini

IOS Developer

SAP Hybris & Spartacus Backend Lead We are looking for SAP Hybris &amp; Spartacus Backend Lead.Educational Background – Any Graduate.Experience- 7+ years.Responsibilities:&nbsp;<ul><li>Over 7+ years of industry experience , with specialization in design &amp; development of&nbsp;e-commerce applications in J2EE, hybris and AEM</li><li>Hybris Lead Role in different B2B and B2C project with multiple project</li><li>Expertise in preparation and review of Technical Design documents for ecommerce projects.</li><li>Creating Proof of concepts for progressive clients.</li><li>Designed Hybris Web Services interaction design with SAP one of the Fortune 100 client.</li><li>Lead and provided technical guidance to onsite and offshore team.</li><li>Develop and customize e-commerce web applications using the SAP Hybris Spartacus framework.</li><li>Integrate SAP Hybris Spartacus with various backend systems, including SAP Commerce Cloud.</li><li>Customize and extend the Spartacus accelerator to meet specific business requirements.</li><li>Optimize application performance for speed and scalability, ensuring a seamless shopping experience for end-users.</li><li>Conduct unit testing, integration testing, and performance testing to ensure the reliability and quality of the applications.</li><li>Collaborate with cross-functional teams, including UI/UX designers, product managers, and backend developers, to deliver integrated e-commerce solutions.</li><li>Identify and resolve technical issues and bugs in a timely manner.</li><li>Rich Experience in SAP Commerce Cloud on Microsoft Azure CCV2.</li><li>Experience in upgrading SAP Commerce cloud to newer versions like 1905, 2205.</li><li>Good knowledge in debugging using Kibana and application maintenance usage with tools like Dynatrace.</li><li>Good Knowledge in Data Modeling, HAC,HMC, IMPEX, Flexible Search Query</li><li>Customization of WCMS, Backoffice.</li><li>Good knowledge on SOLR.</li><li>Development using Java, J2EE, JMS,JSP,Jquery, Spring 3.1, Web services</li><li>Extensive experience in Spring Framework modules like Spring Core Container (IOC), Spring Web MVC Modules. Extensive experience in Spring Framework modules like Spring Core Container (IOC), Spring Web MVC Modules</li><li>UML tools – Visio, System Architect, Class diagram, Sequence diagram.</li><li>Hands on coding experience on core concepts and module including WCMS cockpit, Product Cockpit, Customized CMS page and Customized CMS Component Checkout Flow</li><li>Experience with SAP Hybris Commerce Suite.</li><li>Understanding of e-commerce industry trends and best practices.</li></ul> Interested candidate can send your CV.

Birlasoft Limited

SAP Consultant

Cloud Architect We’re Hiring! Join our Dynamic Team at Straive - Gramener<ul><li>Skills - AWS, Terraform, Cloud Security, Bedrock, Sagemaker</li><li>Experience - 8+ Years</li></ul> Share your updated resume now.

Straive

Cloud Engineer

Salesforce Developer Seeking a Technical Salesforce developer with experience in complex software development and support. Works closely with business and partner IT teams to understand business data, requirements, and integrations to ensure stable operations and to fix bugs and build new capabilities. Educational Background: Bachelors degree in computer science, Management Information Systems, Mathematics or related field is strongly preferred. Key Responsibilities:<ul><li>Design, develop, and implement scalable Salesforce applications using Apex, Visualforce, and Lightning components.</li><li>Collaborate with business and IT teams to gather, analyze, and translate functional and technical requirements.</li><li>Lead end-to-end development lifecycle including design, coding, testing, deployment, and support.</li><li>Troubleshoot and resolve bugs, performance issues, and scope changes in Salesforce applications.</li><li>Ensure secure and efficient integration with external systems using APIs and follow best practices.</li><li>Maintain technical documentation and ensure alignment with business objectives.</li><li>Provide ongoing support and enhancements to existing Salesforce solutions.</li><li>Conduct code reviews and enforce development standards across the team.</li><li>Work closely with stakeholders to ensure timely delivery and quality of deliverables.</li><li>Mentor junior developers and contribute to continuous improvement initiatives.</li></ul> Skills Required:<ul><li>Minimum 8 years of hands-on experience in Salesforce development and implementation.</li><li>Strong command over Apex, Visualforce, Lightning (Aura &amp; LWC), Flows, and Triggers.</li><li>Expertise in Salesforce Sales Cloud, Service Cloud, and PRM modules.</li><li>Proficient in API integrations including REST, SOAP, and Bulk API.</li><li>Solid understanding of Salesforce security settings and data access controls.</li><li>Familiarity with HTML, CSS, JavaScript for UI customization.</li><li>Experience with GitHub for version control and collaboration.</li><li>Knowledge of Omniscripts, Einstein Analytics, and Community Cloud.</li><li>Exposure to MSSQL DB, NodeJS, and managed package development.</li><li>Salesforce certifications such as ADM-201, Platform App Builder, and Platform Developer I (PD II is a plus).</li></ul> Interested candidate can send your CV.

Salesforce Developer

SAP CO Senior Consultant (Overhead Controlling) We are looking for a Senior SAP CO Consultant specializing in Overhead Controlling and broader Controlling (CO) functions to deliver high-impact transformation projects. You will play a key role in implementing, supporting, and optimizing complex SAP CO processes while ensuring seamless integration with Finance and Project Systems. Required Skills:<ul><li>8–12 years of hands-on experience in SAP Controlling (CO) and S/4HANA environments.</li><li>Expertise in Overhead Cost Controlling, Product Costing, Profitability Analysis, and Asset Accounting.</li><li>Solid understanding of Project System (PS) integration and configuration (WBS, project builder, etc.).</li><li>Deep experience working with WRICEF developments and technical teams.</li><li>Strong experience in interfaces and data exchange using IDOCs, ALE, RFCs, and Proxies.</li><li>Must have experience in IFRS reporting related to asset accounting.</li><li>Knowledge in REFX process and integration with FI - AA.</li></ul> Share your resume now.

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