Description

Key Skills: Java, Scala, Python, Go, Cloud Platforms, Distributed Systems, Data Platforms, DevOps, SRE, AI-Enabled Development

Good to Have Skills: Experience in regulated or mission-critical environments with strict RTO/RPO requirements. Hands-on with data governance stacks, data quality frameworks, and policy engines. Familiarity with ML/AI data patterns and low-latency serving. Graduate degree in CS/Engineering or equivalent.

Roles & Responsibilities:

• Architect end-to-end platform components for streaming, batch, and interactive workloads.
• Write high-quality, performant code and build robust APIs and services.
• Set strategy and operating standards for agentic AI-enabled engineering across a portfolio to drive measurable improvements in delivery speed, reliability, and code quality.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
• Implement resilient distributed workflows and optimize compute clusters and storage layers.
• Embed security, governance, and compliance controls in services and pipelines.
• Define SLIs/SLOs, automate alerts, and contribute to reliability and operations.
• Mentor senior engineers and champion engineering excellence and risk controls.

Experience Required: Formal training or certification on software engineering concepts and 10+ years applied experience. Demonstrable ownership of cloud-native distributed systems or data platforms at scale. Deep expertise in at least two areas: cloud platforms, storage/lakehouse tech, data processing/streaming, query/compute engines, distributed systems, security/governance, DevOps/SRE. Demonstrated experience designing and scaling agentic AI-enabled development patterns. Hands-on practical experience in system design, application development, testing, and operational stability.

Education: Graduate degree in CS/Engineering or equivalent

Key Skills

Education

Any Graduate