TalentXO

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

1.Strong Backend Node.js Developer Profile

2.Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3.Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4.Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5.Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6.Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7.Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8.Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9.Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10.Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

12.Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

15.Preferred (College) – Tier1 engineering college is a plus plus

16.Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

Job Description: Software Engineer / Core Engineer - Java Full Stack (GCP)

Location: Sholinganallur, Chennai - Work From Office (WFO)only chennai candidate

Experience: 6+ years of IT experience with 4+ years in Software Development [Ideal: 6-10 years]

Education: Bachelor's Degree [B.E./B.Tech or equivalent]

Employment Type: Full Time

About the Role:

This is a Java Full Stack Developer role with a strong GCP requirement. We are looking for a hands-on Software Engineer / Core Engineer to design, build, and scale cloud-native full-stack applications. Java, Spring Boot, Angular, and GCP are mandatory skills for this position.

Mandatory Skills:

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills:

• Data & Analytics on GCP: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Big Data & Orchestration: Apache Airflow, PySpark, Python
• IaC & DevOps: Terraform, Tekton, Maven, Gradle, SonarQube
• Frameworks & Tools: Spring Cloud, APIGEE, Swagger/OpenAPI
• UI/UX Collaboration

Roles & Responsibilities:

1. Design, develop, test, and deploy robust full-stack applications using Java, Spring Boot, and Angular.
2. Build and maintain scalable REST APIs and microservices-based architecture.
3. Develop responsive, high-performance Angular-based UI applications and collaborate with UI/UX teams for seamless user experience.
4. Design software architecture and end-to-end cloud-native solutions on Google Cloud Platform.
5. Work on GCP deployments, infrastructure setup, and cloud migration initiatives.
6. Follow and advocate Agile, TDD, CI/CD, and DevOps best practices throughout the SDLC.
7. Collaborate effectively with Product Owners, Architects, UI/UX teams, and cross-functional stakeholders.
8. Ensure application security, performance optimization, scalability, and high code quality with SonarQube, code reviews, and testing.

Ideal Candidate Profile:

• 6 to 10 years of total IT experience with strong hands-on development background.
• Strong expertise in Java, Spring Boot, Angular, and GCP - must have built production-grade applications.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and Cloud Deployment.
• Experience with Cloud SQL, PostgreSQL, and GCP data services is a plus.
• Good understanding of software architecture, distributed systems, and performance tuning.
• Excellent communication skills and proven experience working in Agile teams.
• Willingness to work from Sholinganallur, Chennai office (WFO).

What We Offer:

• Opportunity to work on cloud-native, large-scale platforms
• Agile and collaborative work culture
• Exposure to modern GCP data stack and DevOps ecosystem

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing

7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11.Mandatory (Age) - Candidate's Age should be below 37 years.

12.Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Roles & Responsibilities

• Design and conduct quantitative UX research studies to evaluate user behavior and product usability.
• Plan, execute, and analyze A/B tests and controlled experiments.
• Define research objectives, hypotheses, success metrics, and measurement frameworks.
• Analyze product metrics, user engagement, conversion funnels, retention, and feature adoption.
• Extract and analyze data using SQL and product analytics tools.
• Use statistical methods to validate research findings, including sample size calculations, confidence intervals, and statistical significance testing.
• Collaborate with Product Managers, UX Designers, Data Analysts, and Engineering teams to support product strategy.
• Create dashboards, reports, and presentations to communicate research findings and recommendations.
• Identify user behavior patterns and opportunities for product optimization.
• Translate complex quantitative insights into clear, business-focused recommendations.
• Support product development by measuring the impact of new features and product improvements.
• Stay updated with industry trends, research methodologies, and analytics best practices.

Ideal Candidate

• Strong understanding of experimental design and statistical methodologies.
• Hands-on experience with SQL and product analytics platforms such as Amplitude, Mixpanel, or GA4.
• Ability to interpret large datasets and generate actionable business insights.
• Excellent problem-solving, analytical thinking, and stakeholder communication skills.
• Passion for improving user experience through data-driven decision-making

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

What You'll Bring

•     Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

•     System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

•     Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

•     Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

•     AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

•     Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Roles & Responsibilities

• Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.
• Connect data from different systems so that all information is consistent and easy to understand.
• Create relationships between products, customers, services, and other business data to improve search and AI capabilities.
• Work closely with business teams to understand their requirements and convert them into structured knowledge models.
• Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.
• Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.
• Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.
• Manage and update ontologies as new products, services, and business information are introduced.
• Support knowledge graph and metadata initiatives to improve data quality and consistency.
• Use graph databases and ontology management tools (where applicable) to maintain semantic data models.

Ideal Candidate

• Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments
• Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises
• Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction
• Mandatory (Tech skill 1) – Must have strong hands-on experience in taxonomy design, structuring, and lifecycle management
• Mandatory (Tech skill 2) – Must have strong working experience of at least one ontology/TOMS tool such as PoolParty (Semantic Web), TopBraid/TopQuadrant EDG, or GraphDB (Ontotext.
• Mandatory (Tech skill 3) –Must be familiar with W3C industry standards, including RDF, RDFS, SPARQL and OWL
• Mandatory (Tech skill 4) – Must have hands-on working experience with at least one graph database such as Neo4j, GraphDB (Ontotext), Neptune, or Stardog
• Mandatory (Tech skill 5) – Must have practical experience with SHACL for constraint and validation work, alongside SKOS
• Mandatory (Tech skill 6) – Must have hands-on exposure to a cloud and infrastructure stack, including AWS, Docker, or Kubernetes
• Mandatory (Communication) – Must be fluent in English, with strong stakeholder management skills to operate across a complex, multi-team environment.many stakeholders.
• Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day
• Preferred (Tech skill 1) – Should have experience with NLP strategies and tooling for optimisation, such as spaCy or NER-based metadata extraction
• Preferred (Education) – Degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation

Role & Responsibilities

What you'll do

• Embed with enterprise customers to understand their business processes, systems landscape, and data. Translate that into concrete use cases for AI agents, automations, and applications.
• Build working solutions on the UnifyApps platform yourself, using the no-code builders, integrations, and data layer. Ship, iterate, and get to production.
• Own the technical and functional design of deployments across systems like Salesforce, Workday, SAP, ServiceNow, core banking and telecom stacks.
• Work with customer stakeholders from process owners up to CXOs. Run discovery workshops, demos, solution reviews, and go-live.
• Define success metrics for each deployment and hold the deployment to them.
• Feed patterns and gaps back to the core product and engineering teams. Turn repeated custom work into platform capability.
• Support pre-sales and pilot conversations where deep product depth is needed.

Ideal Candidate

• Strong Forward Deployed Product Manager Profile with robust exposure to client facing delivery
• Mandatory (Experience 1) - Must have 4+ years of total experience, including at least 1+ year of experience as a Product Manager/Forward Deployed Product Manager at Sprinklr (previously, not currently employed there), along with recent experience in a Tech consulting company as a Forward Deployed Product Manager, working closely with clients in an onsite or customer-facing capacity
• Mandatory (Experience 2) - Must have a strong track record of client-facing delivery, having run implementations or deployments for large enterprise customers
• Mandatory (Experience 3) - Must have experience running discovery workshops, demos, solution reviews, and go-lives with enterprise stakeholders from process owners up to CXO level
• Mandatory (Tech skill 1) - Must be comfortable getting hands-on — able to read API docs, model data flows, write SQL, and reason about system integrations.
• Mandatory ( Skill 1): Must have experience working closely with designers, engineers, testers and other stakeholders
• Mandatory (Skill 2) - Must have a bias to build, with comfort in ambiguity and evolving scopeConsulting
• Mandatory (Company) - Should be an Ex-Sprinklr employee, currently working with IT Services/Tech companies
• Mandatory (Note): Candidate should be open to relocate to other cities based on the client requirements as needed
• Preferred (AI Depth) - Exposure to enterprise AI deployments in production, including evaluation, guardrails, and observability of agents.

Role & Responsibilities

We are seeking a dynamic and talented Assistant Product Marketing Manager with a passion for mobile apps to join our growing team. The ideal candidate will play a crucial role in new product ideation, executing successful go-to-market strategies, and ensuring the overall success of our mobile applications. This role requires a combination of strategic thinking, creativity, analytical skills, and effective communication.

• New Product Ideation: Collaborate with cross-functional teams to generate innovative ideas for new mobile app products. Conduct market research and analysis to identify emerging trends and opportunities.
• Go-to-Market Strategy: Develop and execute comprehensive go-to-market strategies for new products, ensuring successful product launches. Work closely with the product development team to align marketing initiatives with product features and benefits.
• Competitor Research: Conduct thorough competitor analysis to understand market trends, identify competitive advantages, and position our products effectively.
• User Lifecycle Management: Develop and implement strategies to optimize the user lifecycle, from acquisition to retention. Utilize data-driven insights to enhance user experience and engagement.
• A/B Testing: Design and execute A/B testing initiatives to optimize marketing campaigns and improve key performance indicators.
• App Store Optimization (ASO): Implement effective ASO strategies to enhance the visibility and discoverability of our mobile apps on various app stores.
• Stakeholder Management: Collaborate with internal teams, including product development, design, and sales, to ensure alignment and successful product launches. Build and maintain strong relationships with external stakeholders, including partners and vendors.

Ideal Candidate

• Strong B2C Product Marketing Profile
• Mandatory (Experience 1): Must have 2+ YOE in product marketing for digital products
• Mandatory (Experience 2): Must have direct experience in pre-launch and post-launch marketing, including user research, positioning, GTM planning etc
• Mandatory ((Experience 3): Experience launching or scaling a mobile app, preferably iOS
• Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
• Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
• Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
• Mandatory (Stability): Minimum 2 years per role required. One short period employment is acceptable if there are atleast 2 stints of 2+ years. Frequent job changes are straight rejects.
• Note: Total years of experience must not exceed 5 years.

Roles & Responsibilities

We are seeking a highly skilled Senior QA Automation Engineer to join our dynamic team. This role is ideal for a passionate automation expert who thrives on building robust test frameworks, mentoring team members, and driving quality excellence across our products. You will play a pivotal role in shaping our automation strategy while ensuring the delivery of reliable, scalable test solutions.

Key Responsibilities:

• Design, develop, and maintain automated test suites using Playwright for end-to-end testing
• Implement and optimize test frameworks using TestNG/JUnit to ensure comprehensive test coverage
• Build and manage automation projects using Gradle build tool
• Develop and execute comprehensive testing strategies that align with product requirements and business objectives
• Mentor and guide junior QA engineers in automation best practices and technical skills development
• Conduct thorough code reviews to maintain high-quality automation code standards
• Debug and troubleshoot complex test failures, identifying root causes and implementing solutions
• Collaborate with cross-functional teams including developers, product managers, and DevOps to integrate automation into CI/CD pipelines
• Drive continuous improvement initiatives in test automation processes and methodologies
• Champion quality assurance best practices across the organization

Ideal Candidate

• Strong Senior QA Automation / SDET Engineer Profile with robust Java skills
• Mandatory (Experience 1): Must have 4+ YOE in Automation QA Testing with atleast 3+ years of strong exposure to Java
• Mandatory (Experience 2): Must have proven experience with Playwright/Selenium for end-to-end test automation and strong hands-on experience with Java (The resume should clearly highlight hands-on Java experience through relevant projects or responsibilities, rather than only mentioning Java in the skills section)
• Mandatory (Experience 3): Must have strong proficiency in TestNG and/or JUnit
• Mandatory (Core Skills 1): Solid understanding of QA principles, testing strategies, and best practices
• Mandatory (Core Skills 2): Excellent debugging and troubleshooting capabilities
• Mandatory (Company): Product Company
• Mandatory (Note): No hire policy from Sprinklr
• Preferred (Experience) - Working knowledge of Gradle