Responsibilities
Architecture & Technical Design
Own end-to-end architecture across application, platform, data, and integration layers
Create HLDs, reference architectures, reusable patterns, and key technical designs
Guide LLDs and ensure implementations remain aligned with architectural intent
Define standards for APIs, microservices, data flows, identity, integration, and cloud-native solutions
Make technical trade-offs across scalability, reliability, security, performance, maintainability, and cloud cost
Hands-On Engineering & Development
Actively participate in software development and complex feature implementation
Write, debug, test, and review production-quality code
Build prototypes, reference implementations, reusable components, and technical accelerators
Participate in code and design reviews and improve engineering quality and maintainability
Validate architectural decisions through working software, testing, and production evidence
Platform & Cloud Engineering
Design distributed and cloud-native solutions across AWS and Azure
Establish reusable capabilities for identity, integration, environments, containerisation, CI/CD, and microservices
Guide application modernisation and cloud adoption
Design for high availability, resilience, scalability, security, and cost efficiency
Reduce project-specific solutions through reusable platform services and engineering patterns
Production Reliability & Technical Problem Solving
Define observability across logging, metrics, tracing, health checks, dashboards, and alerting
Lead diagnosis of complex cross-system production issues, working directly with code, telemetry, configuration, integrations, and infrastructure to identify root cause
Drive technical resolution through implementation and stabilisation
Address recurring issues through architectural and engineering improvements
Ensure systems are secure, observable, supportable, and production-ready
Technical Leadership & Governance
Establish architecture and engineering standards across teams
Mentor engineers through architecture reviews, design reviews, code reviews, and hands-on technical guidance
Evaluate technologies and frameworks based on engineering value, risk, cost, and long-term sustainability
Partner with Product, Security, Data, DevOps, Product Support, and Engineering teams while retaining architectural accountability
Skill Descriptors
System & Cloud Architecture (Extensive Experience)
Designs complex distributed and cloud-native systems across AWS and Azure
Defines application, data and database architecture, including data flows, storage patterns, schemas, performance, and scalability
Applies security-by-design, including identity, access, service security, certificates, and secure architecture patterns
Makes effective trade-offs across scalability, security, reliability, performance, maintainability, and cost
Hands-On Software Engineering (Extensive Experience)
Strong hands-on software development capability, preferably Java
Writes, tests, debugs, reviews, maintains, and troubleshoots production software
Builds APIs, services, prototypes, reference implementations, and reusable components
Translates architectural decisions into working production implementations
Diagnoses difficult problems spanning application and platform boundaries
Platform, Integration & DevOps (Extensive Experience)
Designs APIs, microservices, event-driven integrations, and reusable platform capabilities
Strong understanding of Docker, Kubernetes, CI/CD, environment management, and modern DevOps practices
Designs resilient integrations with clear service contracts, dependencies, and failure handling
Applies platform engineering principles to reduce duplication and accelerate product delivery
Understands database, real-time data processing, messaging, and distributed-system patterns
Production Engineering & Technical Leadership (Extensive Experience)
Designs for observability, high availability, resilience, recovery, and operational support
Leads root-cause diagnosis of complex production and performance issues
Uses logs, metrics, traces, application behaviour, code, and infrastructure evidence to drive technical decisions
Leads through technical depth, working implementations, engineering standards, and mentoring
Drives systemic improvements following production failures rather than treating incidents as isolated events
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related technical field
10+ years of software engineering, architecture, or distributed-systems experience
Strong hands-on Java development experience
Production experience designing/ implementing cloud-native systems on AWS/ Azure
Strong experience with distributed systems, APIs, microservices, data/integration patterns, and production troubleshooting
Experience with containers, Kubernetes, CI/CD, relational databases, and modern software engineering practices
AWS and/or Azure Solution Architect certification preferred
Success Metrics
Improved platform reliability, scalability, performance, and security
Reduction in architecture and integration-related production issues
Faster diagnosis and recovery of complex system failures
Adoption and reuse of common architecture and platform patterns
Increased compliance with observability and production-readiness standards
Improved cloud cost efficiency
Successful translation of architecture into high-quality production implementations
Posting Dates
November 4, 2026 - November 17, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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