Manager Software Engineering (Platform Services)

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities.

We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Software Engineering Manager Job Purpose The Software Engineering Manager is responsible for leading multiple software engineering teams delivering enterprise-scale digital platforms, platform services, and business-critical applications.

This role provides technical, people, and delivery leadership while driving the design, development, deployment, and operation of scalable cloud-native solutions. The incumbent will play a key role in advancing Caterpillar's digital transformation through the development of reusable platform services, AI-enabled automation capabilities, and modern software engineering practices.

The position is accountable for building high-performing teams, driving engineering excellence, and enabling the delivery of secure, resilient, and scalable digital products. Key Responsibilities Engineering Leadership Lead multiple Agile software engineering teams delivering enterprise-scale digital platforms and products.

Build, coach, mentor, and retain high-performing engineering talent. Establish engineering best practices, technical standards, and software development governance. Drive a culture of innovation, accountability, operational excellence, and continuous improvement.

Platform Services & Architecture Lead the design and development of reusable Platform Services that enable rapid product development across business domains. Drive platform engineering initiatives including API platforms, integration services, shared services, developer platforms, and self-service capabilities.

Partner with Product Owners and Architects to define platform roadmaps and long-term technology strategies. Promote Platform-as-a-Product principles focused on adoption, reliability, scalability, and reusability. Software Development & Technical Leadership Provide technical leadership for enterprise applications built using Java and Python technologies.

Guide software architecture decisions involving microservices, event-driven architectures, distributed systems, and cloud-native design patterns. Drive engineering excellence through CI/CD, automated testing, code quality, observability, and DevSecOps practices.

Ensure solutions meet enterprise standards for security, availability, maintainability, and performance. Cloud & Platform Engineering Lead development and deployment of solutions on AWS cloud platforms. Drive adoption of cloud-native technologies including containers, Kubernetes, serverless, API management, and event streaming services.

Partner with Infrastructure, Security, DevOps, and Architecture teams to improve platform reliability and operational efficiency. Support modernization and migration initiatives to cloud-based architectures. AI Automation & Engineering Productivity Drive implementation of AI-powered engineering automation capabilities.

Leverage AI and GenAI technologies to improve software delivery, code generation, testing, quality engineering, operational support, and developer productivity. Identify opportunities for intelligent automation across engineering and platform operations processes.

Champion modern AI-assisted software engineering practices and innovation initiatives. Stakeholder & Delivery Management Partner with Product Management, Architecture, Business, and Operations teams to deliver strategic outcomes. Manage engineering roadmaps, budgets, staffing plans, risks, and dependencies.

Communicate delivery progress, technical strategy, and operational metrics to leadership stakeholders. Ensure successful execution of large-scale, multi-team programs and initiatives. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 14+ years of software engineering experience. 5+ years of experience leading software engineering teams and engineering managers.

Proven experience building and scaling enterprise Platform Services, Platform Products, Shared Services, or Digital Platforms. Strong hands-on software engineering background using Java and Python . 5+ years of experience designing and delivering solutions on AWS Cloud .

Experience with microservices, APIs, distributed systems, event-driven architectures, and cloud-native development. Experience with DevOps, CI/CD, Infrastructure as Code, observability, and Site Reliability Engineering practices. Experience driving enterprise-scale Agile delivery programs.

Strong people leadership, coaching, and talent development capabilities. Preferred Qualifications Experience delivering Manufacturing, Supply Chain, Industrial IoT, Data Platform, or Enterprise Platform solutions. Experience with Platform Engineering, DataOps, DevOps, AIOps, and MLOps operating models.

Experience with Kafka, Spark, Kubernetes, Docker, Snowflake, Databricks, or similar modern platform technologies. Experience implementing AI/GenAI-powered automation solutions for software engineering or operations. Experience leading globally distributed engineering teams and vendor partners.

Knowledge of AWS Well-Architected Framework and cloud security best practices. Experience building internal developer platforms or engineering enablement capabilities. Critical Competencies Engineering Leadership Platform Engineering & Platform Services AWS Cloud Architecture Java & Python Engineering AI Automation & GenAI Adoption Enterprise Application Architecture Agile & Product Delivery Talent Development & People Leadership DevOps & Engineering Excellence Stakeholder & Executive Communication Success Measures Delivery predictability and business value realization.

Platform adoption and reuse across engineering teams. Engineering productivity and automation metrics. Cloud platform reliability, scalability, and operational excellence. Talent engagement, development, and retention. AI-driven productivity improvements and automation outcomes.

Customer and stakeholder satisfaction. This position requires working onsite five days a week. Visa Sponsorship is not available for this position. Posting Dates: July 27, 2026 - August 6, 2026 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply?

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