Microsoft Active Directory Admin_L3
Role Purpose
The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations
Do
- Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup)
- Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution
- Conduct technology capacity planning by reviewing the current and future requirements
- Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable
- Strategize & implement disaster recovery plans and create and implement backup and recovery plans
- Manage the day-to-day operations of the tower
- Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues.
- Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower
- Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges
- Develop shift roster for the team to ensure no disruption in the tower
- Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc.
- Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps
- Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness
Team Management
- Resourcing
- Forecast talent requirements as per the current and future business needs
- Hire adequate and right resources for the team
- Train direct reportees to make right recruitment and selection decisions
- Talent Management
- Ensure 100% compliance to Wipro’s standards of adequate onboarding and training for team members to enhance capability & effectiveness
- Build an internal talent pool of HiPos and ensure their career progression within the organization
- Promote diversity in leadership positions
- Performance Management
- Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports.
- Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below
- Employee Satisfaction and Engagement
- Lead and drive engagement initiatives for the team
- Track team satisfaction scores and identify initiatives to build engagement within the team
- Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team
- Exercise employee recognition and appreciation
Deliver
| No | Performance Parameter | Measure |
| 1 | Operations of the tower | SLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management |
| 2 | New projects | Timely delivery Avoid unauthorised changes No formal escalations |
DATA ANALYST L4
Role Purpose
The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
Do
1. Managing the technical scope of the project in line with the requirements at all stages
a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
b. Develop record management process and policies
c. Build and maintain relationships at all levels within the client base and understand their requirements.
d. Providing sales data, proposals, data insights and account reviews to the client base
e. Identify areas to increase efficiency and automation of processes
f. Set up and maintain automated data processes
g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
h. Produce and track key performance indicators
2. Analyze the data sets and provide adequate information
a. Liaise with internal and external clients to fully understand data content
b. Design and carry out surveys and analyze survey data as per the customer requirement
c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools
d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
f. Develop predictive models and share insights with the clients as per their requirement
Deliver
| No | Performance Parameter | Measure |
| 1. | Analyses data sets and provide relevant information to the client | No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy |
Tech Lead – Opentelemetry&Kafka
Job Description: OpenTelemetry & Kafka Expert
Role Overview
We are seeking an OpenTelemetry and Kafka Expert with 5+ years of hands-on experience in enterprise observability and streaming platforms.
The role focuses on designing, operating, and optimizing Kafka-based telemetry pipelines and OpenTelemetry instrumentation in large-scale production environments.
Key Responsibilities
Design, build, and operate Kafka-based streaming platforms for logs, metrics, and traces.
Configure and optimize Kafka clusters including brokers, topics, partitions, replication, and consumer groups.
Implement and manage Kafka security using SSL/TLS and SASL mechanisms.
Design and operate OpenTelemetry pipelines and collectors for metrics, logs, and distributed tracing.
Integrate telemetry data across logs, metrics, and traces for end-to-end observability.
Perform performance tuning, capacity planning, and reliability improvements for Kafka and OTel pipelines.
Troubleshoot complex production issues across Kafka, OpenTelemetry collectors, and downstream systems.
Manage and operate data/telemetry platforms ensuring stability, scalability, and compliance.
Collaborate with platform, SRE, and application teams to support enterprise observability use cases.
Mandatory Skills (Must-Have)
5+ years of hands-on experience with Apache Kafka in production environments.
Strong knowledge of Kafka architecture: brokers, partitions, replication, consumer groups, offsets.
Hands-on experience with Kafka security (SSL/TLS, SASL).
Strong hands-on experience with OpenTelemetry pipelines and collectors.
Experience integrating logs, metrics, and traces into a unified observability platform.
Proven expertise in performance tuning and production troubleshooting.
Experience managing enterprise-scale data or observability platforms.
Good-to-Have Skills
Experience with Kafka ecosystem tools (Schema Registry, Kafka Connect, Kafka Streams).
Experience integrating telemetry with tools such as Splunk, Prometheus, or similar platforms.
Exposure to Kubernetes/OpenShift-based observability.
Experience working in regulated or large enterprise environments.
AI Interaction Designer_Q2 27
Responsibilities
Project Responsibilities
- Lead requirement gathering, feasibility analysis, and AI-led solution discovery workshops.
- Conduct advanced user research, including ethnography and contextual inquiry, with a focus on AI-integrated experiences.
- Define research strategies aligned with business KPIs and AI adoption goals.
- Drive competitive benchmarking across AI-first and digital product ecosystems.
- Create AI interaction models, conversational journeys, and decision-based interaction flows.
- Define information architecture (IA), sitemaps, and navigation models for complex AI systems.
- Design ethical and responsible AI interfaces that communicate system and agentic behavior, confidence, and outputs effectively.
- Develop high-fidelity prototypes in Figma, integrating AI-driven UI patterns and micro-interactions.
- Define UX-led solution architecture that integrates AI agents, data, and engineering considerations.
- Collaborate cross-functionally to validate the technical feasibility of AI-powered experiences.
- Establish scalable design patterns, reusable components, and AI design system guidelines.
- Drive the adoption of AI-powered products through intuitive and trustworthy HX.
- Improve user decision-making and engagement through transparent AI interactions.
- Enable faster design-to-development cycles using AI-assisted workflows and design systems.
- Translate AI concepts into user-centric experiences for business stakeholders.
- Validate design concepts with customers through co-creation and usability testing.
- Work closely with data science and engineering teams on AI model behavior representation.
- Ensure adherence to Experience Design frameworks and governance standards.
- Manage project sign-off, delivery quality gates, and closure documentation.
- Maintain design artifact repositories and knowledge archives.
- Continuously track and apply emerging trends in AI, Generative UX, and interaction design to improve product experiences and design practices.
- Document and present the project delivery approach, covering key decisions, process, outcomes, and learnings.
Preferred Skills
- Interaction design
Educational Requirements
Bachelor of Design,Bachelor of Engineering
ETL/DWT Test Engineer with SQL
Responsibilities
A day in the life of an Infoscion
- As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain.
- You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements.
- You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers.
- You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities
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Technical and Professional Requirements
- Primary skills:Technology->Analytics – Solutions->SQL Server – Analytics,Technology->ETL & Data Quality->ETL – Others
Preferred Skills
- ETL – Others
- SQL
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Generative AI
Responsibilities
Solution Delivery & Consulting
- Partner with client stakeholders to understand business goals, translate them into AI/ML and Generative AI use cases, and define success metrics.
- Contribute to solution design, effort estimation, and delivery planning for AI initiatives in a consulting environment.
- Communicate findings, trade-offs, and recommendations through clear documentation and presentations.
Generative AI Development
- Build Python-based prototypes and production-ready components for Generative AI workflows (prompting, evaluation, and iteration).
- Develop and refine prompts, templates, and guardrails to improve response quality, safety, and consistency.
- Implement evaluation approaches to measure output quality (accuracy, relevance, hallucination checks) and drive continuous improvement.
AI/ML Engineering
- Develop and maintain ML pipelines in Python for data preparation, training, inference, and monitoring.
- Perform model experimentation, feature engineering, and performance tuning aligned to business requirements.
- Collaborate with cross-functional teams to integrate AI services into applications and workflows.
Minimum Qualifications:
- 3–5 years of professional experience delivering Python-based solutions, including AI/ML or Generative AI components.
- Hands-on experience with Generative AI concepts and implementation (prompt engineering, evaluation, and iterative improvement).
- Working knowledge of AI/ML fundamentals (supervised/unsupervised learning, model validation, metrics).
- Strong Python programming skills with clean coding practices, testing, and debugging.
- Bachelor’s degree in engineering or computers or AI
Additional Responsibilities
Preferred Qualifications:
- Experience delivering end-to-end AI/ML solutions in a client-facing or consulting setup, including requirement discovery and stakeholder management.
- Exposure to LLM application patterns such as RAG, embeddings, vector search, and tool/function calling.
- Familiarity with MLOps practices such as experiment tracking, model versioning, CI/CD for ML, and production monitoring.
- Experience with scalable data/ML platforms and workflows (e.g., Databricks-style notebook-to-production practices).
- Proven ability to balance rapid prototyping with production readiness, including performance, security, and reliability considerations.
Good to have skills:
RAG, Embeddings, Vector Databases, Prompt Engineering, MLOps
Technical and Professional Requirements
Technology->AI/ML, Python, Gen AI, Databricks
Preferred Skills
- traditional ai ml
- Prompt Engineering
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Product Designer_JL5_Q2 27
Responsibilities
Project Responsibilities
- Understand user needs through research and translate insights into intuitive product experiences.
- Conduct advanced user research and competitive benchmarking, including advanced methods such as ethnography and contextual inquiry.
- Define research strategy aligned with business goals.
- Define IA, Sitemaps and Navigation Models
- Create and validate high-level design concepts with customers.
- Define solution architecture and collaborate across UX, UI, and engineering teams to validate feasibility.
- Establish design patterns and guidelines, including micro-interaction patterns, ensuring consistency across products.
- Develop detailed design specifications and ensure compliance with usability and WCAG standards.
- Drive usability testing and synthesize findings for design improvements.
- Conduct usability testing and iterate designs based on user feedback and data-driven insights
- Maintain design systems and visual consistency across all product touchpoints.
- Review and validate prototypes for compliance with the Experience Design framework.
- Manage project sign-off and closure activities.
- Lead design discussions.
- Stay updated on UX trends and emerging technologies to drive innovation in product design.
Preferred Skills
- Product Design & Development
Educational Requirements
Bachelor of Design,Bachelor of Engineering
Automation Test Analyst – Selenium
Responsibilities
A day in the life of an Infoscion
- As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
- You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
- You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
- You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
- You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities
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Technical and Professional Requirements
Technology->Automated Testing->Selenium-Java
Preferred Skills
- Selenium-Java
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Product Designer_ Q2 27
Responsibilities
Project Responsibilities
- Understand user needs through research and translate insights into intuitive product experiences.
- Conduct advanced user research and competitive benchmarking, including advanced methods such as ethnography and contextual inquiry.
- Define research strategy aligned with business goals.
- Define IA, Sitemaps and Navigation Models
- Create and validate high-level design concepts with customers.
- Define solution architecture and collaborate across UX, UI, and engineering teams to validate feasibility.
- Establish design patterns and guidelines, including micro-interaction patterns, ensuring consistency across products.
- Develop detailed design specifications and ensure compliance with usability and WCAG standards.
- Drive usability testing and synthesize findings for design improvements.
- Conduct usability testing and iterate designs based on user feedback and data-driven insights
- Maintain design systems and visual consistency across all product touchpoints.
- Review and validate prototypes for compliance with the Experience Design framework.
- Manage project sign-off and closure activities.
- Lead design discussions.
- Stay updated on UX trends and emerging technologies to drive innovation in product design.
Preferred Skills
- Product Design & Development
Educational Requirements
Bachelor of Design,Bachelor of Engineering
Data Scientist -Machine learning
Responsibilities
Technical Delivery & Modeling
- Lead end-to-end data science and machine learning project execution from discovery to deployment-ready deliverables.
- Design, develop, and evaluate ML models aligned to business objectives, ensuring robust performance and generalization.
- Perform data exploration, feature engineering, and model selection to improve predictive accuracy and reliability.
- Establish model validation approaches, track metrics, and document assumptions, limitations, and outcomes.
Consulting & Stakeholder Management
- Partner with stakeholders to translate business problems into analytical frameworks and measurable success criteria.
- Communicate insights and model results clearly to technical and non-technical audiences, enabling decision-making.
- Drive solution recommendations with a focus on feasibility, scalability, and business impact.
Leadership & Quality
- Provide technical guidance and mentorship to team members, promoting strong engineering and modeling practices.
- Review code, experiments, and outputs to ensure quality, reproducibility, and maintainability.
- Contribute to reusable assets, templates, and best practices for consistent delivery across initiatives.
Minimum Qualifications:
- UG education in Computers: BTECH / BSC / BCA (Computers must be included in UG).
- 5–8 years of experience in Data Science, Machine Learning, and AI/ML solution delivery.
- Strong hands-on experience with Python for data science workflows and model development.
- Proven ability to build, evaluate, and improve ML models using sound statistical and analytical techniques.
- Experience working with stakeholders to define problem statements, success metrics, and actionable outcomes.
Additional Responsibilities
- Experience leading teams or workstreams, including mentoring, technical reviews, and delivery ownership.
- Strong proficiency with Python data science ecosystem (e.g., NumPy, Pandas, scikit-learn) and experiment tracking practices.
- Exposure to deep learning or advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) where applicable.
- Ability to design scalable solution approaches and collaborate effectively in a hybrid work environment.
- Strong documentation and communication skills to present insights, trade-offs, and recommendations with clarity.
Technical and Professional Requirements
Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON
Preferred Skills
- Machine Learning
- PYTHON
Educational Requirements
Bachelor of Engineering,BCA,BTech