Found.dev
Role Highlights
Languages used
Java
GO
Python
Key skills
Anomaly Detection
Computer Science
Integrations
CICD
Code Reviews
Distributed Systems
DevOps Engineer
LLMs
Transformation
Data
Streaming
Cloud
Reliability
Infrastructure
Testing
Regression
AI
PhD
Scripting
Devops
Containers
Automation
Machine Learning
Backend
Frontend
Agile
Tools, Libraries and Frameworks
IOS
IBM
Ruby On Rails
React
Description
The role involves designing, building, and operating internal platform services to enhance developer productivity and engineering velocity. The engineer will create scalable, multi-tenant services that integrate into existing systems such as CI/CD and test infrastructure. Responsibilities include modeling realistic workloads for performance testing and automating regression tests to provide actionable reporting. The position requires exploring and integrating AI-assisted workflows to improve developer efficiency, such as anomaly detection and intelligent test selection. Additionally, the role entails delivering projects end-to-end, participating in on-call rotations, and mentoring junior team members.
Required Qualifications and Skills
Candidates must possess a BS, MS, or PhD in Computer Science or a related field, or equivalent professional experience. A minimum of five years of experience in building and operating cloud services or large-scale distributed systems is required. Proficiency in at least one statically typed language and one scripting language is necessary, alongside experience with DevOps tooling. The role demands strong project ownership, communication skills, and a proven track record in operational excellence, including incident response and automation.
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Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
IBM
Description
IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.
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