R&D Principal Technologist, Product Development

Overview

Senior, hands-on technical leadership role on the Predictive Analytics product team, designing and evolving enterprise software that processes large-scale industrial and time-series data, delivers advanced analytics, and provides rich web-based user experiences.

What you'll do

• Define and evolve the architecture and technical direction for Predictive Analytics, with a focus on scalability, performance, security, maintainability, and modernization.
• Lead the design and hands-on development of complex features spanning C#/.NET backend services, APIs, data processing, and Angular-based user interfaces.
• Design solutions capable of efficiently handling large-scale datasets and high-volume time-series data.
• Drive performance engineering across the data, backend/API, and UI layers, applying query optimization, caching, pagination, asynchronous processing, batching, and efficient data transfer.
• Design and evolve distributed and cloud-connected solutions using microservices, event-driven architecture, asynchronous messaging, resiliency patterns, and Domain-Driven Design (DDD).
• Drive product modernization and evaluate emerging technologies, frameworks, and architectural approaches through technical discovery and proof-of-concepts.
• Champion engineering excellence through strong practices in software design, code quality, automated testing, security, observability, and CI/CD.
• Lead technically complex initiatives, identify and mitigate technical risks, and coordinate dependencies across teams and shared platforms.
• Partner with Product Owners and R&D leadership on backlog shaping, estimation, technical roadmaps, and delivery planning.
• Mentor and coach engineers, promote knowledge sharing, and raise the technical capability of the broader engineering team.
• Contribute to production readiness, performance diagnostics, troubleshooting, release risk assessment, and continuous improvement.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• 10+ years of professional software development experience delivering enterprise software products.
• Strong hands-on experience with C#/.NET, including enterprise applications, APIs, and services.
• Strong experience with JavaScript/TypeScript and Angular for modern enterprise web application development.
• Proven full-stack development experience across backend, frontend, APIs, and supporting services.
• Strong experience designing applications that process large-scale datasets, with an understanding of data access performance, scalability, memory utilization, and efficient data processing.
• Strong understanding of object-oriented design, design patterns, clean architecture, API design, and distributed systems.
• Experience designing scalable and resilient systems using microservices, asynchronous/event-driven architectures, and fault-tolerance patterns.
• Working knowledge of cloud-native application development, including Docker, Kubernetes/AKS, and service-based deployment architectures.
• Strong understanding of modern engineering practices including automated testing, Git, CI/CD, Azure DevOps, secure development, and observability.
• Demonstrated technical leadership, with the ability to lead complex initiatives, influence technical decisions, and mentor engineers.
• Strong communication and cross-functional collaboration skills.

Nice to have

• Experience building data-intensive, analytics-driven, or time-series applications where data volume, processing performance, and UI responsiveness are critical.
• Experience optimizing performance across data access, APIs, backend processing, caching, and frontend rendering.
• Experience working with on-premises, cloud, and hybrid architectures.
• Familiarity with Azure services and technologies such as Azure Service Bus, Azure Key Vault, AKS, and related cloud services.
• Experience with modern authentication and authorization patterns such as OIDC and JWT.
• Experience modernizing monolithic enterprise applications toward modern .NET, Angular, microservices, and cloud-native architectures.
• Strong understanding of software security, dependency management, vulnerability remediation, and secure development lifecycle practices.
• Experience with technical discovery, prototyping, and evaluating architectural and technology trade-offs.
• Familiarity with AI-assisted engineering tools such as GitHub Copilot and their responsible use for development, testing, documentation, and developer productivity.
• Experience with industrial analytics, process data, historian platforms, time-series data, or other data-intensive industrial software.
• Experience working with geographically distributed Agile/Scrum product development teams.

Details

• Location: Bangalore, India.
• Employment type: Regular, full-time.
• Work mode: Hybrid, with an expectation of being on-site 50% of working hours at a local AVEVA office; the specific working arrangement will be confirmed during the hiring process.