Exponential Engineering Head
The Mission
As the Exponential Engineering Head, your mission is to drive engineering transformation augmented by AI. You are expected to decouple headcount from high-velocity software engineering metrics. In this role, you aren’t just managing people; you are architecting an AI-augmented engineering engine. You will be responsible for building the organizational capabilities to leverage Frontier AI tools, transforming the software development lifecycle (SDLC) into a high-leverage system where engineers act as system architects and AI agents handle the heavy lifting.
Key Responsibilities
- AI Strategy & Tooling Orchestration: Design and implement a frontier-first AI roadmap. You will curate and deploy a cutting-edge stack (e.g., Factory AI Cursor, Windsurf, Claude Code) to automate research, requirements planning, routine coding, documentation, testing and deployment.
- Exponential Productivity Scaling: Transition the team from linear output to exponential gains. You will redefine “Engineering Excellence” by measuring AI-driven velocity, aiming for a 5x–10x increase in deployment frequency and feature throughput.
- Frontier Capability Building: Act as the lead “Architect of Workflow.” You will build internal frameworks for Agentic Workflows, where AI agents manage PR reviews, bug triage, and automated refactoring with minimal human intervention.
- Talent Transformation: Evolve the engineering culture. You will mentor senior engineers to become “Prompt Architects” and “AI Orchestrators,” ensuring the team remains at the bleeding edge of AI-assisted reasoning and complex problem-solving.
- AI-Native Quality & Governance: Establish the “Safety Net” for high-speed output. You will implement AI-driven testing (e.g., QA Wolf, Mabl) and security guardrails (e.g., Snyk AI) to ensure that increased speed does not result in technical debt or security vulnerabilities.
- Strategic ROI Tracking: Define and report on the ROI of AI Augmentation. You will use insights from platforms like LinearB or Zenhub AI to visualize productivity gains and adjust strategies based on real-time engineering data.
The “Exponential” Tech Stack
The Director is expected to have deep proficiency in (and provide training for) the following AI tool categories. The toolsets are exemplar and not exhaustive or prescriptive.
- AI Development Environments: Cursor, Windsurf, GitHub Copilot Enterprise.
- Agentic Coding & CLI: Factory AI, Claude Code, OpenDevin.
- Automated QA/DevOps: QA Wolf (for self-healing tests), Harness (for predictive deployments).
- Security & Compliance: Snyk AI, GitHub Advanced Security.
- Engineering Intelligence: LinearB, Zenhub AI (for AI-powered sprint and health metrics).
Qualifications
- Engineering Leadership: 10+ years in engineering, with 5+ years leading high-growth teams. Proven experience in a “Force Multiplier” role. Proven experience in engineering transformation and a high performance culture.
- AI Fluency: Expert-level understanding of frontier AI models, AI based software engineering tools and their application. You should be able to demonstrate how you’ve used AI to solve a complex architectural problem.
- Architectural Depth: Deep knowledge of cloud-native systems (AWS/GCP), microservices, and—crucially—how to build AI-ready codebases (clean, well-documented, and modular).
- Education: Bachelor’s/Master’s in CS or equivalent; specific certifications or deep-dive projects in AI/ML are a significant plus.
Partner- Thought Machine
Role Overview:
We are looking for an experienced leader to spearhead the implementation of Thought Machine Vault alongside another core banking platform such as Oracle FLEXCUBE, Temenos, or Finacle. The ideal candidate will have hands-on experience delivering digital transformation programs in banking, with a strong understanding of both modern cloud-native platforms and legacy core system
Key Responsibilities:
-Lead end-to-end delivery of Thought Machine Vault implementations, including smart contract configuration, integration, and go-live support.
-Oversee delivery of another core banking platform, ensuring alignment with client requirements and integration with Vault where applicable.
-Manage project planning, resource allocation, budgeting, and risk mitigation across both platforms.
-Coordinate with engineering, product, and QA teams to ensure seamless delivery and quality assurance.
– Act as the primary point of contact for client stakeholders, ensuring transparency and alignment throughout the delivery lifecycle.
– Drive agile delivery practices across both platforms, adapting methodologies to suit project needs.
-Ensure compliance with regulatory standards, security protocols, and data governance.
-Support contract framing, including fixed-price and time-and-material engagements.
-Provide leadership and mentorship to cross-functional teams working on both platforms.
-Build a Thought Machine CoE for Wipro Consulting- capability, headcount, thought leadership, assets etc.
Required Qualifications:
-Bachelor’s or Master’s degree in engineering, Computer Science, or related field.
-15+ years of experience in delivery/project management within financial services.
– Hands-on experience implementing Thought Machine Vault.
– Proven experience delivering projects on any other banking / payment platform] (e.g., Oracle FLEXCUBE, Temenos, Finacle, GPP).
– Strong understanding of core banking systems, payments, and digital transformation.
– Experience managing large-scale implementations with high transaction volumes.
– Familiarity with cloud-native architectures, API integrations, and smart contracts.
-Excellent communication, stakeholder management, and leadership skills.
Preferred Skills:
-Experience with retail or corporate banking transformation programs.
-Knowledge of regulatory frameworks (e.g., PSD2, PCI-DSS).
-Exposure to DevOps, CI/CD pipelines, and automated testing.
-Certification in Agile, Scrum, or Project Management (PMP/Prince2).
GCP Platform Administrator
Responsibilities
Administer and support GCP infrastructure and services.
Manage IAM, VPC, Cloud Storage, Compute Engine, Load Balancers, and networking components.
Implement cloud security, governance, and compliance standards.
Monitor platform health, capacity, performance, and availability.
Automate infrastructure provisioning and operational activities.
Troubleshoot and resolve cloud infrastructure issues.
Additional Responsibilities
Terraform, Kubernetes (GKE), DevOps tools.
GCP Certifications.
Cloud cost optimization and FinOps experience.
Technical and Professional Requirements
Strong experience in Google Cloud Platform (GCP) administration.
Expertise in IAM, Networking, Compute Engine, Cloud Storage, and Monitoring.
Experience with cloud security and governance.
Strong troubleshooting and operational support experience.
Preferred Skills
- GCP App Development
- GCP Data Analytics
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Senior Snowflake Data Warehouse Architect
Responsibilities
Design enterprise-scale Snowflake data warehouse solutions.
Create conceptual, logical, and physical data models.
Define data architecture, governance, and data quality standards.
Optimize SQL performance and Snowflake workloads.
Collaborate with business, analytics, and engineering teams.
Lead large-scale data modernization initiatives.
Additional Responsibilities
Azure and GCP cloud experience.
Snowflake SnowPro Certification.
Exposure to dbt, Python, Data Governance, and Data Mesh concepts.
Technical and Professional Requirements
Strong expertise in Snowflake, Data Modelling, DWH, and SQL.
Extensive experience in Data Architecture and Data Warehousing.
Strong hands-on experience in cloud-based analytics platforms.
Experience designing scalable enterprise data solutions.
Preferred Skills
- Data Modeling
- Snowflake
- SQL Server
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Data Engineer – Python, SQL, DBT
Responsibilities
Develop ETL/ELT data pipelines using Python and SQL.
Build and maintain DBT transformation models.
Design and optimize Snowflake-based data solutions.
Ensure data quality, validation, and governance.
Support cloud-based analytics and reporting initiatives.
Additional Responsibilities
Airflow, Azure Data Factory, AWS, or GCP.
Snowflake certification.
CI/CD and DevOps practices for data engineering.
Technical and Professional Requirements
Strong experience in Python, SQL, and DBT.
Experience with Snowflake data platform.
Strong understanding of Data Warehousing and ETL concepts.
Exposure to data modeling and performance optimization.
Preferred Skills
- PYTHON
- Snowflake
- Python – OpenSystem
- SQL Server
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Snowflake Data Engineer – AWS Consultant
Responsibilities
Design and build scalable data pipelines using Snowflake and AWS.
Implement ELT/ETL frameworks and data ingestion solutions.
Optimize Snowflake performance and query execution.
Integrate AWS services with Snowflake environments.
Support data governance and platform reliability.
Additional Responsibilities
Python, DBT, Airflow.
AWS and Snowflake Certifications.
Data Modeling experience.
Technical and Professional Requirements
Strong experience in Snowflake and AWS.
Expertise in SQL, Data Warehousing, and ETL/ELT concepts.
Experience with Snowpipe, Streams, Tasks, and Data Sharing.
Good understanding of cloud-native data platforms.
Preferred Skills
- AWS Firewall Manager
- Snowflake
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Azure Data Engineer – ADF
Responsibilities
Design and develop Azure Data Factory pipelines.
Implement ETL/ELT workflows and data integration solutions.
Work with Azure Data Lake, Azure SQL, and Synapse.
Optimize data movement and transformation processes.
Support deployment, monitoring, and troubleshooting activities.
Additional Responsibilities
Azure Synapse, Databricks, Snowflake.
Python or PySpark.
Azure Certifications.
Technical and Professional Requirements
Strong experience in ADF and Azure.
Expertise in ETL, Data Integration, and Data Warehousing.
Strong SQL and performance tuning skills.
Experience with enterprise-scale data pipelines.
Preferred Skills
- Azure Data Factory (ADF)
- Azure CDN
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
SAP Data Migration Lead Consultant
Responsibilities
A day in the life of an Infoscion
- As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment.
- You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues.
- You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms.
- You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance.
- You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-quality, value-adding consulting solutions to customers adhering to the guidelines and processes of the organization.
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
- Good knowledge on software configuration management systems
- Strong business acumen, strategy and cross-industry thought leadership
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Two or three industry domain knowledge
- Understanding of the financial processes for various types of projects and the various pricing models available
- Client Interfacing skills
- Knowledge of SDLC and agile methodologies
- Project and Team management
Location of posting – Infosys Ltd. is committed to ensuring you have the best experience throughout your journey with us.
We currently have open positions in a number of locations across India – Bangalore, Pune, Hyderabad, Chennai, Chandigarh, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Kolkata, Coimbatore, Jaipur.
While we work in accordance with business requirements, we shall strive to offer you the location of your choice, where possible.
Technical and Professional Requirements
- Must implemented S/4 Data Migration Projects either as hands-on ETL developer or SAP functional module lead capacity
- Good Understanding of Greenfield, Bluefield and Data migration life cycle and phases
- Ability to lead workshop at client sites with multiple stakeholders
- Must have developed data migration strategy and approach for multi-year multi country global rollout programs (template, pilot, waves)
- Must have executed data quality and validation programs and have worked with SAP migration cockpit
- Ability to define functional dependencies and project planning involving client’s business/IT, project functional and technical teams
- Must have participated in presales process and can develop RFP responses with estimation, resource plan, work package planning and orals
Preferred Skills
- SAP Specific Data Migration
- SAP Business Objects Data Services (SAP BODS)
Educational Requirements
Master Of Comp. Applications,Master Of Commerce,Master of Computer Science,Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Commerce,Bachelor Of Computer Science,Bachelor of Engineering,Bachelor Of Technology
MicroStrategy Developer
Responsibilities
Design and develop MicroStrategy reports and dashboards.
Build metrics, attributes, filters, and analytical objects.
Optimize BI reporting performance.
Work closely with business stakeholders to gather requirements.
Ensure data accuracy and reporting quality.
Additional Responsibilities
Tableau, Power BI, or other BI tools.
Agile project experience.
Technical and Professional Requirements
Strong expertise in MicroStrategy development.
Experience in BI Reporting and Dashboard Creation.
Strong SQL and Data Warehousing knowledge.
Experience in troubleshooting reporting issues.
Preferred Skills
- Reporting
- Microstrategy Advanced and Predictive Analytics
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Informatica IICS Developer – Snowflake
Responsibilities
Develop and maintain IICS mappings and workflows.
Build ETL/ELT solutions for Snowflake environments.
Design data integration solutions across multiple sources.
Optimize data processing and transformation performance.
Support production deployments and issue resolution.
Additional Responsibilities
Informatica PowerCenter or IDMC.
Python, AWS, Azure exposure.
Snowflake or Informatica Certification.
Technical and Professional Requirements
Strong experience in Informatica IICS.
Expertise in Snowflake and SQL.
Hands-on experience in ETL, ELT, and Data Warehousing.
Good understanding of cloud-based integration architecture.
Preferred Skills
- Informatica – Informatica Power Center
- Informatica Intelligent Cloud services(IICS)
- Snowflake
Educational Requirements
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech