8 часов назад
Software Engineer – Control Path & Quality, Data Ocean
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer – Control Path & Quality, Data Ocean (C++/Go/Java): Building control plane services, management APIs, automation frameworks, and validation systems for scalable storage and enterprise data platforms with an accent on distributed systems, platform orchestration, and software quality. Focus on developing monitoring and configuration workflows, debugging distributed components, and improving CI/CD and large-scale testing.
Location: Pune office, on-site
Company
develops Data Ocean platform software for next-generation AI and enterprise data platforms, including scalable storage solutions.
What you will do
- Develop and maintain control plane services for Data Ocean platform management and orchestration.
- Design management APIs and service interfaces, including workflows for caching, data movement, configuration, and platform lifecycle operations.
- Build monitoring, telemetry, and operational capabilities to improve platform visibility and reliability.
- Support integration between Data Ocean components and external storage or platform services.
- Develop automated frameworks for functional, integration, regression, and system-level testing.
- Debug distributed software issues, contribute to root-cause analysis, and improve release readiness and CI/CD reliability.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- 5+ years of experience developing software applications, infrastructure software, or distributed systems.
- Strong programming skills in C++, Go, or Java.
- Experience with Linux-based development, REST APIs, automation frameworks, and software validation tools.
- Understanding of storage systems, distributed systems, or cloud infrastructure concepts.
- Strong debugging, troubleshooting, and problem-solving skills.
Nice to have
- Experience with Kubernetes and container-based environments.
- Python-based automation and testing framework experience.
- Familiarity with CI/CD pipelines, cloud technologies, and infrastructure platforms.
- Knowledge of enterprise storage systems or distributed data platforms.
- Experience with performance testing, system validation, or large-scale software testing.
Culture & Benefits
- Hands-on collaboration across development and quality engineering disciplines.
- Work with senior engineers, architects, QA, and DevOps teams.
- Participation in technical discussions, design reviews, and code reviews.
- Opportunities to deepen expertise in distributed systems, cloud technologies, and large-scale infrastructure software.
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