Qureos Mentor

Zensar Technologies

<div><div><div><b>What's this role about?
</b></div><div>Sr. Product Manager
<br>
</div><div><b>Here's how you'll contribute:
</b> </div><div></div><div>You'll do this by:
</div><p><b>Key Responsibilities
</b></p><p><b>API &amp; Technical Delivery
</b></p><ul><li>Lead the end-to-end product delivery of the B2B API integration.
</li><li>Define and validate API requirements in line with Group specifications.
</li><li>Translate business requirements into detailed API use cases, flows, and acceptance criteria.
</li><li>Ensure API contracts, documentation, and testing frameworks are in place for smooth partner integration.
</li></ul><p><b>Project Management &amp; Stakeholder Engagement
</b></p><ul><li>Drive the delivery plan across multiple squads, ensuring alignment with project milestones.
</li><li>Act as the key liaison between Entain and the external casino partner, ensuring requirements are captured, tracked, and delivered.
</li><li>Communicate progress, risks, and dependencies effectively to stakeholders at all levels.
</li><li>Coordinate with engineering, QA, compliance, and operations teams to unblock issues and maintain delivery momentum.
</li></ul><p><b>Compliance &amp; Regulatory Alignment
</b></p><ul><li>Ensure the API integration complies with <b>market-specific regulations </b>and <b>igaming standards </b>.
</li><li>Work closely with legal and compliance to validate requirements and mitigate risks.
</li><li>Maintain up-to-date awareness of relevant gaming regulations across target markets.
</li></ul><p><b>Delivery Excellence
</b></p><ul><li>Ensure delivery is <b>on time, within scope, and of high quality </b>, balancing technical detail with commercial priorities.
</li><li>Proactively identify and mitigate risks, dependencies, and bottlenecks.
</li></ul><p>Support post-delivery validation, partner onboarding, and operational readiness.<br>
 </p><div></div><br>
<div>Desired Skills:
</div><p><b>Key Skills &amp; Experience
</b></p><ul><li>Proven experience as a <b>Product Manager or Technical Consultant </b>, delivering <b>large-scale API or B2B platform projects </b>.
</li><li>Strong understanding of <b>REST APIs, integration flows, and API documentation standards </b>(Swagger/OpenAPI, Postman, etc.).
</li><li>Demonstrated experience in <b>igaming or closely related regulated industries </b>.
</li><li>Ability to translate complex technical concepts into <b>clear business deliverables </b>.
</li><li>Excellent stakeholder management and communication skills across both technical and business audiences.
</li><li>Experience working in <b>Agile environments </b>with distributed teams.
</li>Strong problem-solving skills and a proactive approach to delivery.<br>
<li>
</li></ul><div></div><p><b>Preferred Qualifications
</b></p><ul><li>Previous hands-on experience delivering <b>casino gaming integrations </b>.
</li><li>Knowledge of <b>market compliance requirements </b>(e.g., UKGC, MGA, Ontario, ANZ).
</li><li>Familiarity with tools such as <b>Jira, Confluence, Postman, and API monitoring frameworks </b>.
</li><li>Strong track record of <b>contract or consulting work </b>, demonstrating ability to deliver under fixed timelines.
<br>
</li></ul><div><b>How we&rsquo;d like you to lead:<br>
</b></div><div></div><br>
<div><b>Advantage Zensar
</b></div><div>We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity.<br>
</div><div></div><br>
<div>Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans&rsquo; status.<br>
</div><div></div><br>
<div>Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include:<br>
</div><div></div><br>
<div><ul><li>Putting people first
</li><li>Client-centricity
</li><li>Collaboration
</li></ul><div>Grow. Own. Achieve. Learn. with Zensar</div></div></div></div>

Product Management

<div><ul><li>Java AWS engineer with experience in building AWS services like Lambda, Batch, SQS, S3, DynamoDB etc. using AWS Java SDK and Cloud formation templates.
</li><li>4 to 8 years of experience in design, development and triaging for large, complex systems. Experience in Java and object-oriented design skills
</li><li>3-4+ years of microservices development
</li><li>2+ years working in Spring Boot
</li><li>Experienced using API dev tools like IntelliJ/Eclipse, Postman, Git, Cucumber
</li><li>Hands on experience in building microservices based application using Spring Boot and REST, JSON
</li><li>DevOps understanding &ndash; containers, cloud, automation, security, configuration management, CI/CD
</li><li>Experience using CICD processes for application software integration and deployment using Maven, Git, Jenkins.
</li><li>Experience dealing with NoSQL databases like Cassandra
</li><li>Experience building scalable and resilient applications in private or public cloud environments and cloud technologies
</li><li>Experience in Utilizing tools such as Maven, Docker, Kubernetes, ELK, Jenkins
</li><li>Agile Software Development (typically Scrum, Kanban, Safe)
</li><li>Experience with API gateway and API security.</li></ul></div><p></p>

Java AWS

<div><p>Guidewire Billing Center Tech Lead Developer (10 - 12 Years) &ndash; With Integ Exp - Preferred</p></div>

Guidewire Billing Center Tech Lead Developer – Integration Experience Preferred

<div><p><b>Job Title: </b>Salesforce Data Developer
<br>
<b>Department: </b>IT, Business Systems
<br>
<b>Reports To: </b>Salesforce Manager, Director of Business Systems
</p><b>Job Summary
</b><p>The Salesforce Data Developer is an engineer focused on the technical aspects of data movement, transformation, and integration. This role is responsible for designing and implementing robust solutions for importing, exporting, and synchronizing data between Salesforce and other systems. The focus is on the <i>architecture </i>and <i>execution </i>of data processes.
</p><b>Key Responsibilities
</b><ul><li><b>Data Migration &amp; Integration:
</b><ul><li>Design, develop, and execute complex data migration projects (e.g., from legacy systems into Salesforce).
</li><li>Build and maintain scalable, scheduled data integrations between Salesforce and external systems (e.g., ERP, Marketing Automation, Data Warehouses) using APIs.
</li></ul></li><li><b>ETL (Extract, Transform, Load) Processes:
</b><ul><li>Develop and optimize ETL processes using tools like <b>Salesforce Data Loader </b>, <b>Informatica Cloud </b>, <b>MuleSoft </b>, <b>Jitterbit </b>, or <b>Talend </b>.
</li><li>Write complex data transformation scripts to cleanse, map, and validate data during migration and integration.
</li></ul></li><li><b>Data Architecture &amp; Automation:
</b><ul><li>Collaborate with architects to design and implement data models that support business requirements.
</li><li>Develop custom automation (Apex Triggers, Salesforce Flows) for complex data manipulation that cannot be handled by standard tools.
</li><li>Manage large-scale data updates and deletions while ensuring system performance and stability.
</li></ul></li><li><b>Technical Execution &amp; Tooling:
</b><ul><li>Write and troubleshoot <b>SOQL </b>and <b>SOSL </b>queries with complex relationships and filtering.
</li><li>Utilize <b>APEX </b>for complex business logic requiring DML operations.
</li><li>Implement and manage the <b>Salesforce APIs </b>(REST, SOAP, Bulk) for data operations.
</li></ul></li></ul><b>Required Skills &amp; Qualifications
</b><ul><li><b>Experience: </b>4+ years of experience in a Salesforce Developer, Data Engineer, or ETL Developer role.
</li><li><b>Technical Skills:
</b><ul><li>Expert-level proficiency with <b>data manipulation tools </b>(e.g., Salesforce Data Loader, Workbench, or equivalent ETL platform).
</li><li>Advanced knowledge of <b>SOQL </b>and <b>SOSL </b>.
</li><li>Strong hands-on experience with <b>Apex </b>for data transactions.
</li><li>Practical experience with <b>Salesforce APIs </b>(REST/SOAP/Bulk).
</li><li>Deep understanding of the <b>Salesforce data model </b>and governor limits.
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Strong technical problem-solving and debugging skills.
</li><li>Ability to design and document technical solutions.
</li><li>Project management skills for handling complex, multi-stage data migrations.
</li></ul></li></ul><b>Nice-to-Have Skills
</b><ul><li>Experience with <b>SQL </b>and relational databases (e.g., MySQL, PostgreSQL).
</li><li>Experience with integration platforms like <b>MuleSoft </b>or <b>Jitterbit </b>.
</li><li>Salesforce certifications like <b>Platform Developer I </b>, <b>Platform Developer II </b>, or <b>Data Architecture and Management Designer </b>.</li></ul></div>

SFDC Data Developer

<div><p>QE Manager
</p><p>10+ YRS
</p><p>PUNE/HYDERABAD/BANGALORE<br>
</p><p></p><p>Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us.
</p><p>A <b>Quality Engineering (QE) Manager </b>is a senior leader responsible for building and overseeing an organization's Quality Engineering strategy, culture, and team. Unlike a traditional Quality Assurance (QA) Manager who focuses primarily on validation at the end of the software development lifecycle (SDLC), a QE Manager drives a &quot;shift-left&quot; approach by embedding quality throughout the entire process.
</p><p>This role combines technical expertise in automated testing and modern engineering practices with strong leadership and project management skills to deliver high-quality, reliable, and scalable products.
 </p><p><b>Key responsibilities
</b></p><p><b>Strategy and management
</b></p><ul><li><b>Develop and implement QE strategy </b>: Define the overall quality engineering strategy, frameworks, and best practices to ensure high product quality and reliability.
</li><li><b>Manage the QE team </b>: Hire, mentor, and lead a team of QE engineers, fostering a culture of technical excellence, continuous learning, and ownership.
</li><li><b>Define and track metrics </b>: Establish key performance indicators (KPIs) and quality metrics to monitor product quality, process efficiency, and team performance. Prepare reports and dashboards for leadership and stakeholders.
</li><li><b>Budget and resource management </b>: Oversee the QE budget, including resources for personnel, tools, and testing infrastructure.
</li></ul><p><b>Technical and process leadership
</b></p><ul><li><b>Champion test automation </b>: Drive the adoption and maturity of automated testing across various platforms (web, mobile, API, etc.). Oversee the design and maintenance of scalable test automation frameworks.
</li><li><b>Integrate quality into DevOps/CI/CD </b>: Ensure testing is an integral part of the continuous integration and continuous delivery (CI/CD) pipeline, allowing for rapid and reliable releases.
</li><li><b>Drive quality improvement initiatives </b>: Lead efforts for continuous process improvement. Conduct root cause analysis on defects to prevent recurrence and optimize testing methodologies and tools.
</li><li><b>Guide testing coverage </b>: Work with engineering, product, and business teams to confirm and prioritize testing strategies, ensuring adequate coverage for both functional and non-functional requirements.<br>
</li></ul><p></p><p><b>Skills and qualifications
</b></p><ul><li><b>Experience </b>: Proven experience (often 5+ years) in a Quality Engineering or software development role, including several years in a leadership or management position.
</li><li><b>Technical expertise </b>: Deep understanding of the software development lifecycle (SDLC) and Agile methodologies. Strong, hands-on experience with test automation frameworks and tools (e.g., Selenium, Robot Framework, Cypress, Postman).
</li><li><b>Programming skills </b>: Proficiency in one or more scripting or programming languages (e.g., Python, Java, JavaScript).
</li><li><b>Cloud and DevOps experience </b>: Experience with public cloud platforms (AWS, Azure, GCP) and DevOps practices, including CI/CD integration.
</li><li><b>Leadership skills </b>: Exceptional leadership, communication, and interpersonal skills to build and manage high-performing teams and influence stakeholders effectively.
</li><li><b>Analytical skills </b>: Strong analytical and problem-solving abilities to make data-driven decisions and address complex issues.<br>
</li></ul><p></p><p>Advantage Zensar
</p><p>We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA.<br>
</p><p></p><p>Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth.
 </p><p>At Zensar, you Grow, Own, Achieve, Learn.
 </p><p>Learn more about our culture: https://www.zensar.com/careers/who-we-are<br>
</p><p></p><p><b>Ready to #ExperienceZensar?
</b></p><p>Begin your application by clicking on the &lsquo;Apply Online&rsquo; button below.
</p><p>Be sure to have your resume handy!
</p><p>If you&rsquo;re having trouble applying, drop a line to careers@zensar.com.</p></div>

QE Manager

<div><div><div><b>What's this role about?<br>
</b></div><div></div><br>
<div><b>Here's how you'll contribute:<br>
</b></div><div></div><p>We are seeking an experienced IBM Liberty Consultant to lead and support the modernization of Java applications and the migration of legacy WebSphere Application Server (WAS) environments to IBM Liberty. The ideal candidate will have deep expertise in Java EE, Liberty architecture, and cloud-native transformation
</p><ul><li>Assess existing Java applications running on traditional WAS and define modernization strategy.
</li><li>Design and implement migration plans to move applications from WAS to IBM Liberty.
</li><li>Optimize application configurations for Liberty runtime, ensuring performance and scalability.
</li><li>Provide guidance on Liberty features such as dynamic configuration, lightweight runtime, and DevOps integration.
</li><li>Support containerization efforts using Docker and orchestration platforms like Kubernetes or OpenShift.
</li><li>Conduct performance tuning, troubleshooting, and Liberty-specific optimizations.
</li><li>Document migration processes, best practices, and provide training to internal teams.
</li></ul><p>Required Skills &amp; Experience:
</p><ul><li>7+ years of experience with IBM WebSphere Application Server and Liberty Profile.
</li><li>Strong understanding of Java EE and Spring frameworks.
</li><li>Proven experience in application modernization and cloud migration.
</li><li>Hands-on experience with Liberty server configuration, tuning, and deployment.
</li><li>Familiarity with CI/CD pipelines and DevOps tools (Jenkins, Git, Maven, etc.).
</li><li>Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift).
</li><li>Excellent problem-solving and communication skills
</li></ul><div></div><div><b>How we&rsquo;d like you to lead:<br>
</b></div><div></div><br>
<div><b>Advantage Zensar
</b></div><div>We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity.<br>
</div><div></div><br>
<div>Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans&rsquo; status.<br>
</div><div></div><br>
<div>Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include:<br>
</div><div></div><br>
<div><ul><li>Putting people first
</li><li>Client-centricity
</li><li>Collaboration
</li></ul><div>Grow. Own. Achieve. Learn. with Zensar</div></div></div></div>

Middleware-Architecture & Design-IBM Liberty

<div><div><div><div><div><p>The Senior ML/AI Engineer will lead the design, development, and deployment of machine learning models and artificial intelligence solutions, focusing on solving complex business challenges through predictive analytics, natural language processing, and deep learning techniques. The role involves collaborating closely with data scientists, data engineers, and business stakeholders to create scalable, production-grade ML/AI models that align with the organization's strategic goals. Additionally, the Senior ML/AI Engineer will drive innovation by exploring new AI methodologies, including large language models, and integrating them into data solutions for enhanced customer engagement and business insights.<br>
</p></div></div><br>
<p></p><div><div>DESCRIBE THE MAIN ACTIVITIES OF THE JOB ( <b>DESCRIPTION </b>)<br>
</div></div><br>
<div><div><p><b>Machine Learning Model Development:
</b></p><ul><li>Build, train, and deploy advanced machine learning models, including regression, classification, clustering, and recommendation algorithms, that deliver business value.
</li><li>Implement NLP, deep learning, and computer vision solutions as required to support customer-centric applications and predictive analytics.
</li><li>Apply knowledge of large language models (LLMs) to develop conversational AI and recommendation systems for customer engagement.
</li></ul><p><b>AI System Design &amp; Deployment:
</b></p><ul><li>Design end-to-end ML/AI pipelines that support the continuous integration and deployment of machine learning models into production environments.
</li><li>Leverage MLOps best practices for model versioning, retraining, performance monitoring, and scalability.
</li><li>Ensure models are optimized for latency, accuracy, and scalability by deploying on cloud platforms such as AWS, GCP, or Azure.
</li></ul><p><b>Data Gathering and Preprocessing:
</b></p><ul><li>Collaborate with data engineering teams to design and optimize ETL/ELT pipelines for AI-specific data needs.
</li><li>Engineer and preprocess large, complex datasets from various sources to ensure model robustness, accuracy, and generalizability.
</li><li>Contribute to the centralized data knowledge management system to streamline data access for ML/AI use cases.
</li></ul><p><b>Predictive Analytics &amp; Foresight Generation:
</b></p><ul><li>Perform predictive analytics to support business strategies, creating foresight-driven models that enhance customer experiences and drive revenue growth.
</li><li>Evaluate and implement techniques for model interpretability, explainability, and bias reduction.
</li></ul><p><b>Collaboration &amp; Stakeholder Engagement:
</b></p><ul><li>Partner with business stakeholders to identify areas where ML/AI can drive value, and translate these into actionable AI projects.
</li><li>Work closely with data scientists, data engineers, and software development teams to ensure successful model deployment and alignment with data architecture.
</li><li>Document processes, code, and models for knowledge sharing and team <b>scalability.
</b></li></ul><p><b>Continuous Improvement &amp; Research:
</b></p><ul><li>Stay updated on advancements in ML/AI, particularly LLMs and generative AI, and identify opportunities to apply these innovations to business problems.
</li>Conduct ongoing model evaluation and improvement based on performance metrics, customer feedback, and evolving business needs.<br>
<li>
</li></ul></div></div><br>
<p></p><div><div>MINIMUM QUALIFICATIONS/EXPERIENCE ( <b>REQUIRED FOR THE JOB </b>)<br>
</div></div><br>
<div><div><p><b>Education:
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
</li><li>Master&rsquo;s or Ph.D. in Machine Learning, AI, or a similar field is strongly preferred for a senior role.
</li></ul><p><b>Experience Requirements </b>:
</p><ul><li>5+ years of hands-on experience in machine learning, AI engineering, or data science, with a track record of successfully deploying models in production.
</li><li>Extensive experience working with large datasets, building and fine-tuning ML models, and deploying on cloud platforms.
</li><li>Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with NLP and large language models.
</li></ul><p><b>Preferred Technical Skills:
</b></p><ul><li>Proficiency in Python and ML libraries (e.g., scikit-learn, Keras, Hugging Face).
</li><li>Strong experience in cloud-based ML services (e.g., AWS SageMaker, GCP AI Platform, Azure ML).
</li>Knowledge of MLOps tools and practices (e.g., MLflow, Airflow, Docker, Kubernetes).<br>
<li>
</li></ul></div></div><br>
<p></p><div><div>ADDITIONAL QUALIFICATIONS/EXPERIENCE ( <b>PREFERRED, NOT A REQUIREMENT </b>)<br>
</div></div><br>
<p></p><div><div><p>M <b>achine Learning and AI Certifications:
</b></p><ul><li>AWS Certified Machine Learning &ndash; Specialty: Recognized for building, training, and deploying ML models on AWS.
</li><li>Google Professional Machine Learning Engineer: Certifies knowledge in deploying ML models on Google Cloud.
</li><li>Microsoft Certified: Azure AI Engineer Associate: A certification focusing on Azure-based AI development.
</li><li>Certified Machine Learning Professional (CMLP): Industry-recognized certification for ML proficiency.
</li></ul><p><b>Deep Learning and NLP Certifications:<br>
</b></p><p></p><ul><li>Deep Learning Specialization by Andrew Ng (Coursera): Covers foundational and advanced deep learning techniques.
</li><li>Natural Language Processing with Deep Learning (Stanford or equivalent): For proficiency in NLP techniques and applications.
</li></ul><p><b>Data Science and Analytics:
</b></p><ul><li>Certified Data Scientist (CDS) by DASCA: A foundational certification for data science, often a complement to ML expertise.
</li><li>TensorFlow Developer Certification: Useful for engineers focusing on deep learning.
</li></ul><p><b>MLOps and Cloud Certifications:
</b></p><ul><li>MLOps Certification by Google: Demonstrates proficiency in end-to-end ML pipeline management and deployment.
</li>Certified Kubernetes Administrator (CKA): Beneficial for deploying and managing containerized ML models.<br>
<li>
</li></ul></div></div><br>
<p></p><div><div>COMPETENCIES REQUIRED<br>
</div></div><br>
<div><div><p><b>Technical Proficiency and Model Engineering:
</b></p><ul><li>Proficient in a range of ML/AI techniques, including supervised and unsupervised learning, NLP, deep learning, and computer vision.
</li><li>Advanced knowledge of large language models, with experience in implementing LLM-based solutions like conversational AI or text generation models.
</li></ul><p><b>Strategic and Analytical Thinking:
</b></p><ul><li>Strong ability to identify business needs and translate them into AI-driven solutions, ensuring alignment with organizational goals.
</li></ul><p><b>Collaboration and Communication Skills:
</b></p><ul><li>Effective at communicating technical information to non-technical stakeholders, ensuring alignment and buy-in for ML initiatives.
</li><li>Excellent collaboration skills to work with cross-functional teams and drive alignment on ML/AI deployment.
</li></ul><p><b>Data Preprocessing and Analysis:
</b></p><ul><li>Skilled in data preprocessing and transformation, ensuring data readiness for robust and accurate ML modeling.
</li><li>Strong understanding of data architecture, including how data pipelines and ETL processes fit into the larger data ecosystem.
</li></ul><p><b>Problem Solving and Adaptability:
</b></p><ul><li>Ability to troubleshoot complex ML/AI challenges and adapt to changes in technology or business requirements.
</li>Proactive approach in seeking out and testing new AI technologies and methodologies to stay competitive in the field.<br>
<li>
</li></ul></div></div><br>
<p></p><div><div>ORGANISATION STRUCTURE ( <b>WHERE IS THE ROLE LOCATED IN THE HIERARCHY </b>)<br>
</div></div><br>
<div><div><p>Please include the titles, grades and numbers of the direct reports.</p></div></div></div></div></div><p></p>

ML Engineer - GCH

Join Zensar Technologies and explore 14   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.