Director, Software Engineering

Caterpillar Inc.

Director leading Caterpillar’s India engineering organization for data platforms, analytics, AI, and GenAI. Scaling digital capabilities for connected equipment, customers, dealers, and operational excellence.

Posted 8/21/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leading high-performing engineering teams focused on data platforms, AI, and digital product delivery. Proficient in cloud-native architectures, data engineering, and implementing CI/CD and DataOps practices to drive innovation and operational excellence.

Highest-signal resume keywords

Cloud-Based Data PlatformsData Engineering LeadershipAI/ML Engineering CapabilitiesAgile Transformation LeadershipCross-Cultural Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringCloud-Native ArchitecturesData ModelingPythonSQLSnowflakeSparkKafkaAirflow

Soft Skills

Technical LeadershipMentorshipCommunicationStakeholder ManagementTeam Building

Tools & Technologies

AWSAzureGCPDataOpsCI/CDDevOpsObservabilityTelematicsIoTDigital Twins

Industry Keywords

IndustrialManufacturingAutomotiveConnected-EquipmentPredictive Maintenance

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDistributed SystemsGoogle Cloud PlatformIoTKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Build, scale, and lead high-performing engineering teams in India across Data Platform, Data Engineering, Data Solutioning, Analytics, and AI/GenAI
Attract, grow, and retain engineering talent and build succession pipelines
Provide technical leadership, architectural oversight, and mentorship
Partner with global Product, Architecture, Security, and Engineering leaders to deliver digital products
Ensure seamless integration and delivery across time zones with U.S. and global teams
Drive delivery of data-centric digital products, platforms, APIs, and ML/GenAI solutions
Establish CI/CD, DevOps, automated testing, observability, secure coding, reusable components, and engineering standards
Architect and evolve scalable Snowflake-based data platforms for telematics, IoT, asset health, services, and analytics
Lead data lake zones, optimization, ingestion frameworks, governance, and cost management
Oversee batch and streaming data pipelines using Spark, Kafka, Airflow, and cloud-native tools
Establish DataOps practices, data quality automation, versioned pipelines, and pipeline observability
Enable governed, self-service analytics, semantic models, KPIs, dashboards, and insights
Lead ML/AI pipelines including training, inference, feature stores, monitoring, and lifecycle governance
Drive GenAI innovation through RAG-based solutions, vector databases, agentic workflows, and LLM integration
Champion Responsible AI practices, governance, and risk frameworks
Ensure platform reliability, scalability, security, regulatory compliance, and cost optimization
Set engineering strategy, priorities, roadmaps, and measurable outcomes
Build and mentor engineering leaders and foster ownership, trust, inclusion, and continuous learning
Represent the India engineering organization in global forums and influence strategy and decisions

Requirements

What you’ll need

Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience
15+ years of software engineering experience
Significant leadership across platform, data, analytics, and AI systems
Experience leading multiple engineering teams delivering enterprise-scale digital platforms within large, global or multi-regional organizations
Strong foundation in cloud-native architectures, data engineering, and modern software design
Experience in industrial, manufacturing, automotive, IoT, or connected-equipment environments
Exposure to telemetry, edge computing, digital twins, or predictive maintenance solutions
Experience leading AI, ML, or GenAI engineering capabilities at enterprise scale
Leadership in Agile transformation and product-centric ways of working
Proven success leading large-scale engineering teams in India, with global delivery responsibilities
Deep technical expertise in cloud-based data platforms (AWS/Azure/GCP), Snowflake, Spark, Kafka, Airflow or Dagster, data modeling, data lake/lakehouse architectures, Python, SQL, and distributed systems
Experience operationalizing AI/ML and GenAI systems at scale
Strong communication, cross-cultural collaboration, and executive stakeholder management

Benefits

Comp & perks

Professional growth opportunities
Leadership programs
Inclusive and diverse workplace culture
Equal opportunity employment