1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and evolve the Predictive Analytics architecture and technical direction.
- Lead hands-on development of complex backend, API, data-processing, and Angular UI features.
- Design scalable solutions for large-scale datasets and high-volume time-series data.
- Drive performance engineering across data access, backend/API processing, caching, and frontend rendering.
- Design distributed and cloud-connected systems using microservices, event-driven architecture, asynchronous messaging, resiliency patterns, and Domain-Driven Design.
- Lead modernization efforts, technical discovery, proof-of-concepts, and evaluation of emerging technologies.
- Champion software design, code quality, automated testing, security, observability, and CI/CD practices.
- Lead complex initiatives, mitigate technical risks, coordinate dependencies, and contribute to production readiness and troubleshooting.
- Partner with Product Owners and R&D leadership on backlog shaping, estimation, roadmaps, and delivery planning.
- Mentor and coach engineers and promote knowledge sharing across the engineering organization.
Requirements
- 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, enterprise applications, APIs, and services.
- Strong JavaScript/TypeScript and Angular experience for modern enterprise web applications.
- Proven full-stack development experience across backend, frontend, APIs, and supporting services.
- Experience designing scalable, resilient, distributed, and cloud-native systems that process large-scale datasets.
- Working knowledge of Docker, Kubernetes/AKS, automated testing, Git, CI/CD, Azure DevOps, secure development, and observability.
- Experience with performance optimization, on-premises, cloud, and hybrid architectures.
- Familiarity with Azure services, Azure Service Bus, Azure Key Vault, OIDC, and JWT.
- Demonstrated technical leadership, complex initiative ownership, mentoring ability, and cross-functional communication skills.
- Preferred experience includes industrial analytics, process data, historian platforms, time-series applications, application modernization, security practices, technical discovery, GitHub Copilot, and distributed Agile/Scrum teams.
Benefits
- Regular, full-time employment in Bangalore with a hybrid work arrangement; most roles expect approximately 50% on-site work, with the arrangement confirmed during hiring.
- India benefits include gratuity, medical and accidental insurance, leave entitlement, emergency leave, childcare support, maternity, paternity and adoption leave, education assistance, home office setup support, and well-being support.
- Successful applicants must pass drug screening and a comprehensive background check before employment.
Tech Stack
Categories
About AVEVA
AVEVA builds industrial engineering, operations, and data-management software used by energy, process, infrastructure, and manufacturing companies. Its portfolio spans 3D design and simulation, HMI/SCADA and MES, asset performance, and the PI System for real‑time operational data, sold via enterprise licenses and cloud subscriptions. The company is headquartered in Cambridge, UK, and is a subsidiary of Schneider Electric following its 2023 acquisition and LSE delisting.