Software Engineer - Distributed Systems & Data Platforms

Acceldata โ€” Canada ยท Posted ~1 day ago

Mid Full-time

Skills

Distributed systems Data platform development Linux Java Python Scala Software testing Code review Distributed Systems

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Summary

A software engineering role for someone with at least three years of experience in distributed systems or data platforms. You will design and scale components of a large-scale open data platform, write clean and tested code in Java, Python, or Scala, work extensively with Linux, collaborate across teams, and contribute to open-source projects.

Highlights

Build and scale large-scale data infrastructure while contributing to open-source technologies. The role offers hands-on ownership of high-quality software, cross-functional collaboration, and opportunities to solve challenging distributed-data problems.

Description

About Us Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley. About The Role We are seeking a Software Engineer with at least 3 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure. Responsibilities Design, develop, and maintain high-quality software for the Open Source Data Platform.Collaborate with cross-functional teams to define, design, and implement new features.Utilize mandatory Linux skills and expertise.Write clean, well-tested, and efficient code in Java, Python, or Scala.Participate in code reviews and contribute to architectural discussions.Debug and resolve technical issues, ensuring optimal performance and stability.Continuously learn and stay up-to-date with industry best practices and emerging technologies.Work across diverse environments: Bare Metals, VM, and Kubernetes. Requirements Mandatory proficiency in Linux to facilitate code deployment and execution.Familiarity with Kubernetes, Docker, and cloud environments is a plus.Extensive hands-on experience in programming with either Java or Scala and Python.Developed and prepared project build models associated with Maven, Gradle, or SBT.Experienced in Github & Nexus management and its use cases.Strong coding, debugging, and troubleshooting capabilities to resolve issues, enhance software applications, and ensure seamless deployment.In-depth understanding of fundamental software engineering concepts such as thread/process management, database management, virtualisation, and distributed computing.Demonstrated expertise in prior projects and contributions, as detailed in the curriculum vitae or resume.Demonstrated fluency in English communication.Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community.Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights. Preferred Skills Contributed to Apache or open source projectsPossess experience with Big data stack or components and deployed applications.Developed in-house automation for platform management.