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Oss Engineer information

What are the key skills and qualifications needed to thrive in the OSS engineer position, and why are they important?

To thrive as an OSS (Operations Support Systems) Engineer, you need a firm grasp of telecommunications networks, software integration, and database management, typically supported by a degree in computer science, engineering, or a related field. Familiarity with OSS platforms such as Netcool, Nagios, or OpenNMS, as well as scripting languages and network protocols, is often essential, and certifications like CCNA or ITIL can be advantageous. Effective problem-solving, attention to detail, and strong communication skills are vital for collaborating with cross-functional teams and troubleshooting complex issues. These competencies are crucial for ensuring seamless network operations, rapid incident resolution, and support for evolving business and technical requirements.

What is an OSS engineer?

An OSS (Operations Support Systems) Engineer is responsible for designing, implementing, and maintaining software and systems that support telecommunication networks. They ensure network performance, automation, and fault management by integrating various monitoring and management tools. OSS Engineers work closely with network operations and IT teams to streamline service delivery and troubleshooting. Their role often involves scripting, database management, and working with protocols like SNMP and REST APIs.

What are the typical daily responsibilities of an OSS engineer?

As an OSS Engineer, your daily responsibilities often include monitoring network health, responding to incidents, analyzing system performance, and implementing new features or integrations within the OSS platform. You may collaborate closely with network operations, software development, and IT infrastructure teams to address technical issues and optimize processes. Routine tasks also involve maintaining accurate system documentation, ensuring compliance with security standards, and participating in ongoing projects to enhance automation or service reliability. This collaborative and dynamic work environment offers a mix of operational and developmental challenges, making it an engaging role for those who enjoy problem-solving and continuous learning.

More about Oss Engineer jobs
What are the most commonly searched types of Oss Engineer jobs? The most popular types of Oss Engineer jobs are:
What states have the most Oss Engineer jobs? States with the most job openings for Oss Engineer jobs include:
Infographic showing various Oss Engineer job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site

Full-time

Re-posted 23 days ago


Job description

Principal Data Processing Engineer - OSS
Mountain View, CA
About DataPelago:
DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray, and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for world-class engineers to join our team and shape the future of accelerated data processing.
The Role:
As a Principal Data Processing Engineer (OSS), you will be a key individual contributor in
adopting and advancing the capabilities of open-source software (OSS) platforms such as Apache
Gluten, Velox, Apache Spark, and Apache Flink in the context of DataPelago's data processing engine. You will enhance the functional breadth, performance, scale, and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with the community working on these platforms. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.
What You'll Do:
  • Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
  • Lead the design of functional and performance enhancements to open source platforms such as Apache Gluten and Velox, and their integration with our data processing engine.
  • Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Analyze the technology roadmap of Apache Gluten, Velox, and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner with engineering, product management, the open-source community and customer success teams.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.

What You'll Bring:
  • BS/MS in Computer Science (or a related field) with 6+ years of relevant experience
  • 3+ years of deep technical experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
  • Sound knowledge of the architecture and internal operation of one or more of Apache Spark,
    Apache Flink, Presto/Trino.
  • Demonstrated experience in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Exceptional programming skills in C, C++, and Java.
  • Extensive development experience in Linux environments.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills with a passion for performance optimization.

Location Considerations:
We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.
Why Join DataPelago?
  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing platforms
  • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated
    computing and data processing.
  • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities