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Staff Software Engineer - Open Source Data Platform (ODP)

Acceldata· Engineering – R&D (Dev)
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KitchenerFull-timePosted 6mo ago

About the role

Staff Engineer role leading architecture and technical direction for Acceldata Open Data Platform (ODP), solving distributed systems challenges, contributing to open-source communities, and mentoring senior engineers across petabyte-scale data infrastructure in hybrid and cloud environments.

Responsibilities

  • Own the end-to-end architecture of major platform components, driving design decisions that impact scalability, reliability, and performance.
  • Architect and implement next-generation distributed data storage, processing, and query optimization systems.
  • Partner with product, engineering leadership, and stakeholders to define technical roadmaps and translate business requirements into scalable solutions.
  • Lead contributions to Apache projects and open-source communities, establishing Acceldata's presence and technical reputation.
  • Identify and resolve complex performance bottlenecks across distributed systems, optimizing for cost, latency, and throughput.
  • Mentor and guide Senior Software Engineers, fostering technical excellence and a culture of continuous learning.
  • Establish and enforce coding standards, perform thorough code reviews, and ensure architectural consistency across the platform.
  • Evaluate and recommend emerging technologies, tools, and frameworks that align with platform goals.
  • Lead root cause analysis for critical production issues and drive systemic improvements to prevent recurrence.
  • Work across diverse environments: Bare Metals, VM, Kubernetes, and multi-cloud architectures.

Qualifications

  • 9+ years of hands-on software development experience with at least 5 years focused on distributed systems or big data platforms.
  • Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus.
  • Deep understanding of distributed computing principles, including consensus algorithms, data partitioning, replication, fault tolerance, and consistency models.
  • Extensive hands-on experience with multiple components of the big data stack (Hadoop, Spark, Hive, Trino, Kafka, Flink, NiFi or similar).
  • Expert-level Linux proficiency, including kernel tuning, performance analysis, and debugging at the system level.
  • Strong experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
  • Deep expertise with Maven, Gradle, or SBT; experienced in CI/CD pipelines, GitHub, and artifact management (Nexus).
  • Proven ability to diagnose and resolve complex issues, including memory leaks, deadlocks, GC tuning, and distributed system failures.
  • Strong understanding of architectural patterns for scalable, fault-tolerant distributed systems.
  • Excellent written and verbal communication skills; ability to articulate complex technical concepts to diverse audiences, including senior leadership.
  • Demonstrated ability to work effectively with cross-functional teams, external contributors, and the open-source community.

Skills

Required:Java
Nice to have:Scala
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Acceldata

AI-Native Data Management for the Modern Enterprise

Discover Acceldata, the industry’s first agentic data management platform, revolutionizing data observability, governance, optimization, and AI-driven operations. Enhance data reliability, reduce costs, and maximize efficiency across hybrid environments.

Data ObservabilityData ManagementAI-driven OperationsHybrid Environments
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