UFT CONSULTANT
Responsibilities
- 3+ years
- UFT developer
- Agile mode of working
- Automation handson
Preferred Skills
- UFT
Educational Requirements
Bachelor of Engineering
AWS Admin, Terraform
Responsibilities
Design, implement, and manage AWS cloud infrastructure.
Automate infrastructure provisioning using Terraform.
Build and maintain Infrastructure as Code (IaC) solutions for repeatable deployments.
Manage core AWS services like EC2, S3, IAM, VPC, RDS, Lambda, CloudWatch.
Monitor system performance, availability, and security.
Implement CI/CD pipelines and integrate Terraform deployments.
Handle backup, disaster recovery, and high-availability configurations.
Perform cost optimization and resource utilization tracking.
Ensure compliance with security best practices and governance policies.
Troubleshoot infrastructure and deployment issues.
Collaborate with development and DevOps teams for cloud solutions.
Additional Responsibilities
Bachelor’s/master’s degree in computer science, IT, or related field
Technical and Professional Requirements
Strong experience with AWS services (EC2, S3, IAM, VPC, RDS, etc.)
Hands-on experience in Terraform (modules, state management, workspaces)
Experience in Infrastructure as Code (IaC) concepts
Knowledge of Linux/Unix system administration
Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)
Good understanding of networking concepts (DNS, TCP/IP, Load Balancing)
Experience with monitoring & logging tools (CloudWatch, ELK, etc.)
Knowledge of security best practices (IAM roles, policies, encryption)
Scripting skills in Bash/Python
Strong troubleshooting and problem-solving skills
Preferred Skills
- AWS
- Terraform
Educational Requirements
Bachelor of Engineering
GenAI / Agentic AI Engineer
Responsibilities
Key Responsibilities
- Develop GenAI features and workflows using Python and AWS Bedrock
- Implement RAG pipelines (chunking, embeddings, retrieval, grounding)
- Build single/multi-step agent workflows using LangChain / LangGraph
- Integrate LLMs with APIs, tools, and enterprise applications
- Write tested, maintainable Python code with CI/CD pipelines
- Monitor basic latency, token usage, and cost metrics
- Collaborate with architects, seniors, and QA teams
Technical and Professional Requirements
Must Have Skills
Python – Core concepts: OOP, typing, modules, pytest/unittest, fixtures, basic async
AWS Bedrock – Model invocation (Claude/Titan, etc.), Knowledge bases or retrieval integration, basic understanding of guardrails & access controls
Generative AI – Prompting (system, few-shot), RAG types and approaches, Basic evaluation awareness, LangChain / LangGraph , Simple agent flows and routing
DevOps Basics – Git, PRs, CI pipelines, Docker basics, artifacts
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Preferred Skills
- Generative AI – Basic
- PYTHON
Educational Requirements
Bachelor of Engineering
AI-Driven – Full Stack Engineer
Responsibilities
KEY RESPONSIBILITIES
- Design, build, and deliver end-to-end features across React/Angular frontends and Java/Node.js microservices, integrated with REST APIs and Kafka-based event streams.
- Own prompt structuring, validation, and refinement for AI-generated code — ensuring correctness, security compliance, and adherence to Citizens’ engineering standards.
- Leverage AI coding agents (GitHub Copilot, Claude Code) by authoring customisations — agents, skills, hooks, MCP servers, and plugins — to accelerate development without sacrificing quality.
- Build multi-agent AI applications using Agent SDKs to orchestrate workflows where agents collaborate or hand off tasks to each other.
- Implement and champion test-driven development (TDD) across unit, integration, and contract testing layers using Jasmine/Jest/Karma.
- Contribute to and improve CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and cloud-native deployments on AWS/Azure using Docker and Kubernetes (AKS/EKS).
- Maintain observability standards — structured logging (ELK/Datadog), alerting (Prometheus/Grafana/AppDynamics), and performance profiling.
- Collaborate with product, design, and architecture teams to translate business goals into scalable, compliant technical solutions.
- Manage parallel workstreams and evolving requirements, ensuring incremental and continuous value delivery through agile practices.
Technical and Professional Requirements
AI ENGINEERING REQUIREMENTS
- High proficiency using AI coding agents (GitHub Copilot, Claude Code) with a strong understanding of AI-driven and AI-managed coding workflows.
- Solid grounding in prompt engineering — structuring, iterating, and validating prompts for consistent, production-quality code generation.
- Hands-on experience designing and constructing AI coding agent customisations: agents, skills, hooks, MCP servers, and plugins.
CORE SKILLS & QUALIFICATIONS
Frontend
- React / Angular (micro-frontend architecture with single-spa / Module Federation)
- TypeScript, HTML5, CSS
- Unit testing: Jasmine, Karma, Jest
Backend & Integration
- Java (Spring Boot / Spring Cloud) — primary backend services
- Node.js — lightweight APIs and integration services
- RESTful APIs & microservices architecture
Preferred Skills
- Java Full stack
- Infosys Automation Platform
- Generative AI – Basic
Educational Requirements
Bachelor of Engineering
Senior Technologist – Data Engineering and AI Platforms
Responsibilities
Data Engineering & Architecture
- Serve as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise.
- Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers.
- Lead the engineering of ETL/ELT frameworks, streaming pipelines, and batch processing solutions.
- Conduct enterprise-wide assessments of data stores and data flows to identify bottlenecks, friction points, and modernization opportunities.
- Own data modeling standards to ensure alignment with business objectives, performance, and accessibility.
AI Enablement & Advanced Analytics
- Enable and support AI/ML and GenAI initiatives by building reliable, high-quality, and well-governed data pipelines.
- Collaborate with Data Science teams to operationalize models, including feature engineering pipelines, inference data flows, and model monitoring data.
- Support AI-driven use cases such as predictive analytics, recommendations, NLP-based insights, and intelligent automation.
- Stay current with market trends, embed innovative practices into strategy, and drive the organization forward with an AI-first approach — ensuring AI initiatives move beyond proof-of-concept to enterprise-scale solutions.
- Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines.
Technical and Professional Requirements
Desired Qualifications
- Experience in financial services, with understanding of consumer and commercial banking data.
- Experience supporting or enabling AI/ML and GenAI solutions, including feature pipelines and analytics platforms.
- Familiarity with data visualization and BI tools (Tableau, Cognos, SAS).
- Knowledge of responsible AI, data governance, and regulatory considerations in highly regulated environments.
- Experience modernizing legacy data platforms into cloud-native architectures.
- Executive speaking skills — ability to articulate strategy, challenge the status quo, and present to senior leadership and key stakeholders with confidence.
- Experience working across or within highly collaborative, non-hierarchical organizational cultures with an emphasis on peer relationships and open communication.
Preferred Skills
- Generative AI – Basic
- Databricks
Educational Requirements
Bachelor of Engineering
Senior Technologist – Software Engineering
Responsibilities
Key Responsibilities
- Define and execute the technology strategy across risk, governance, regulatory, policy, and enterprise oversight platforms.
- Provide overall leadership and accountability for a portfolio of applications, data platforms, and analytics capabilities, ensuring reliability, scalability, and security.
- Oversee the design, development, and operational management of modern data pipelines and data products, ensuring high standards for data quality, integrity, and security.
- Partner with data scientists, analysts, and platform teams to identify and implement data-driven and AI-enabled solutions that address complex business and risk challenges.
- Act as a strategic technology partner to senior executives, contributing to ideation, innovation, prioritization, and long-term strategic alignment.
- Build and maintain multi-year business and technology roadmaps, and ensure the successful delivery of aligned initiatives.
- Lead resource strategy, staffing, and capacity planning across delivery and support teams (FTEs and contractors) to ensure effective execution and platform stability.
- Partner closely with enterprise architecture, infrastructure, and shared technology services to ensure solutions align with enterprise standards and long-term strategy.
Technical and Professional Requirements
Key Responsibilities Continued ::
- Serve as an experienced product or experience owner, helping shape priorities and drive value-focused delivery.
- Manage third-party vendor engagements, including scope definition, contract terms, delivery performance, and financial management.
- Research and evaluate emerging AI and ML technologies, identifying opportunities to improve analytical capabilities, insights, and operational outcomes.
- Oversee the development and deployment of AI/ML models supporting monitoring, risk assessment, analytics, and reporting use cases.
- Ensure that all platforms and solutions meet enterprise standards for governance, controls, auditability, and regulatory expectations.
- Work effectively within a matrix organisation — collaborating across core engineering teams, business leadership, and peers across geographies, balancing both leadership and service capabilities.
Preferred Skills
- Requirement Engineering
- Generative AI – Basic
Educational Requirements
Bachelor of Engineering
SAS Developer
Responsibilities
Develop and maintain SAS programs (Base SAS, Macros, PROC SQL) for data processing and reporting
Perform data extraction, transformation, and validation (ETL) using SAS
Analyze large datasets to generate actionable business insights
Design and deliver reports, dashboards, and data outputs as per client requirements
Collaborate with business stakeholders, onsite/offshore teams to understand data needs
Ensure data quality, integrity, and consistency across systems
Optimize SAS code for performance and efficiency
Support client deliverables, production support, and issue resolution
Additional Responsibilities
Bachelor’s or master’s degree in:
Computer Science
Technical and Professional Requirements
Strong hands-on experience in:
Base SAS
SAS Macros
PROC SQL
Data step programming
Experience in data manipulation and analysis
Good understanding of relational databases (Oracle, SQL Server, Teradata)
Knowledge of ETL processes and data warehousing concepts
Strong analytical and problem-solving skills
Preferred Skills
- sas
Educational Requirements
Bachelor of Engineering
Network Administrator
Responsibilities
- Drive design, development, validation, and support to deliver high-quality technology solutions and ensure client satisfaction
- Analyze business requirements and convert them into effective system solutions
- Contribute to effort estimation and project planning for seamless delivery
- Build efficient and scalable systems, enabling clients to navigate their digital transformation journey
Additional Responsibilities
- Experience in Data Networking & Network Management, including LAN and Wireless technologies
- Hands-on expertise in Cisco and Aruba LAN, along with Cisco Wireless solutions
Technical and Professional Requirements
- Strong understanding of design principles and software architecture fundamentals
- Knowledge of performance engineering concepts
- Familiarity with quality processes and estimation techniques
- Hands-on experience in Data Networking and Network Management
- Proficiency in LAN technologies, including Cisco and Aruba networking solutions
Preferred Skills
- Data networking Access technologies
- Data networking WLAN Protocols & Standards
- Cisco certifications
- Cisco – WLAN controllers
- Architecture – ITIL
- Network Access Control (NAC)
- LDAP Server
Educational Requirements
Bachelor Of Science,Bachelor Of Engineering,Bachelor of Engineering
AI/ML
Responsibilities
- Python, data structures, basic software engineering discipline (clean code, testing)
- ML fundamentals: supervised/unsupervised learning, metrics, bias/variance, evaluation
- Data handling: SQL, data quality, feature understanding
- Git, basic CI/CD awareness
- Cloud basics (any of AWS/Azure/GCP), containers (Docker) basics
Additional Responsibilities
- Distributed computing: Spark, Ray
- Data engineering familiarity: ETL/ELT, orchestration (Airflow/ADF)
- Security basics: secrets management, IAM concepts
Preferred Skills
- Prompt Engineering
- AI/ML Solution Architecture and Design
- MLOps
Educational Requirements
Bachelor of Engineering
IT Consulting
Responsibilities
A day in the life of an Infoscion
- As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight.
- You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise.
- You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design
- You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines
- Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers.
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
- Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
- Good knowledge on software configuration management systems
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Understanding of the financial processes for various types of projects and the various pricing models available
- Ability to assess the current processes, identify improvement areas and suggest the technology solutions
- One or two industry domain knowledge
- Client Interfacing skills
- Project and Team management
Technical and Professional Requirements
- Primary skills:.Net,.Net->ASP.Net,Domain->Healthcare->Payer,Technology->BPMI – B2B->Sterling Integrator,Technology->BPMI – Others->Rules Engine,Technology->Cloud Integration->Mulesoft,Technology->Cloud Platform->Google Machine Learning,Technology->DevOps->DevOps Architecture Consultancy,Technology->Healthcare->EDI,Technology->Machine Learning->IBM Watson,Technology->Microsoft Technologies->.NET Frameworks,Technology->Reactive Programming->Vert.x
Preferred Skills
- FACETS
- .Net
- ASP.Net
- Google Agentic AI Services
- Sterling Integrator
- InRule
- Mulesoft Integration
- DevOps Architecture Consultancy
- EDIFECS
- .NET Core 2.0
- Vert.x
- IBM Watson
Educational Requirements
Master Of Comp. Applications,Master Of Commerce,Master of Computer Science,Master Of Engineering,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Commerce,Bachelor Of Computer Science,Bachelor of Engineering,Bachelor Of Technology